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Send us a textThe Peace & Prosperity Podcast is a bi-weekly conversation with Jason Phillips, LCSW, licensed therapist and confidence expert in Raleigh, NC, discussing all things related to self-love and self-confidence, and how we can improve ourselves personally and professionally.What if you could rewire your brain to conquer fear and self-doubt? In this episode of the Peace and Prosperity podcast, we explore the transformative power of Cognitive Behavioral Therapy (CBT). From Jason's grad school days to real-life applications, he shares how CBT helps identify and reframe core beliefs that fuel anxiety and negative emotions. Learn practical strategies to foster healing, manage challenges like cravings, and create meaningful change in your life. Tune in for insights on why CBT remains a cornerstone of Jason's therapeutic approach! Plus, remember to join our podcast community—like, share, subscribe, and let us know what topics you want us to cover next. Engage with us, send a DM, or leave a review. Let's continue this journey towards peace and prosperity together.To stay connected with Jason and learn about coaching, connect with Jason on social media:Instagram - https://www.instagram.com/jphillipsmsw/Facebook - https://www.facebook.com/jphillipsmswVisit Jason's website for a consultation:Website -https://www.jasonlphillips.comTo book Jason to speak to your team or organization:https://peaceprosperitycoaching.hbportal.co/public/660d8068c9d2d600253b215b/1-InquirySupport the show
In this episode of The Men of Influence Show, host Tim Holloway welcomes Jason Williams, a dynamic leader whose journey of hypocrisy, hedonism, and hope has shaped his mission to transform lives. Together, they dive deep into what it means to embody true manhood, navigate the complexities of identity, and live out faith in a way that impacts the next generation. From Jason's early life in Washington, DC, to his ministry in Birmingham, Alabama, his story is one of redemption, purpose, and relentless commitment to empowering others. Key Takeaways: • Identity and Transformation: Discover how understanding your God-given identity, as well as your cultural context, is key to personal growth and lasting change. • Hypocrisy in Faith: Jason shares powerful insights on the disconnect between religious labels and living out the Kingdom of God authentically. • True Manhood: Learn why real strength comes from embracing vulnerability, servant leadership, and the call to sacrifice. • A Healing Journey: The importance of engaging with our brokenness and letting God's grace shape how we show up for others. • Practical Ministry: Jason shares his innovative approach to community development, focusing on empowering individuals to take ownership and build stronger neighborhoods. This episode is packed with actionable wisdom, honest reflections, and an invitation to reimagine what it means to be a man of influence in today's world. If you're ready to take the next step in your journey of influence, subscribe to The Men of Influence Show now. Share this episode with a brother who needs encouragement, and join the conversation on building lives that matter. Connect with Jason and let's keep transforming lives, one story at a time. “The first step to real transformation is being honest about your humanity and inviting God into the mess.” Learn more about Jason Williams through the following links: Facebook Learn more about Tim through the following links: Facebook Podcasting group
From Jason's book intro: “Jason Edwards is a National Geographic photographer and television presenter. He's been bitten, clawed, chased, chewed, shot at, and stoned (with rocks), defecated and urinated on; smuggled, groomed, diseased, lost, injured, incarcerated, frightened, and enamored. He has spent the past three decades exploring the world with a camera in hand, bearing witness to the miracle of Nature and the complexities of the human condition.” I don't think I can improve upon that, but I would add to it that Jason is a kind, humble, and empathetic person. The power of his work is manifested from the purity of his soul. I greatly enjoyed talking with him. Buy Jason Edwards's book: https://www.amazon.com/Icebergs-Iguanas-Photographic-Journeys-Around/dp/0648818500 Follow Jason Edwards: instagram.com/jasonedwardsng https://www.facebook.com/jasonedwardsng/ jasonedwards.co Follow GFDA: YouTube: youtube.com/@YouAreNotEnoughPodcast Instagram: instagram.com/gfda.co X: x.com/gfdaco
Fellow Richmond podcaster Josh of Super Scary Podcast joins Caitlin to discuss the most iconic masks in horror. From Jason to Michael to Leatherface and beyond, we cover all our favorite horror movie masks and what makes them so effective. Tangents include: the Richmond podcast scene, Nightmare Weekend, vacuuming vs dusting, bar vs liquid soap, movie theater seating, Thanksgiving food, and soup. Be sure to check out Super Scary Podcast!
Welcome to the Tech and Real Estate Podcast! In this exciting episode, we sit down with Jason , a creative finance expert who's built a thriving real estate portfolio—while keeping his full-time job and raising five kids!
In this episode, we dive into the lives of NFL stars Jason and Travis Kelce as they expand their careers beyond football. From Jason's broadcasting debut to Travis's Hollywood pursuits and high-profile relationship with Taylor Swift, we explore how the Kelce brothers are making waves in entertainment while maintaining their close bond. Featuring highlights from their podcast "New Heights," Taylor Swift's VMA shoutout, and the brothers' authentic approach to fame, this episode offers an intimate look at the Kelces' journey from the gridiron to pop culture icons.
016 - In this episode we dive into the wonderfully weird world of unusual upbringings. From Jason's childhood prohibition on rock music to Emily's nocturnal bonding sessions with her father, stacking shelves at 2 a.m., every upbringing has its quirks. Join us as we explore these bizarre and hilarious stories that shaped our lives. We'll laugh, we might cry, and we'll definitely appreciate the unique paths that have led to some unforgettable memories. Whether you were raised on a commune or just had a few odd family traditions, this episode is sure to resonate. ___ Want to RSVP to our signing in Highland Park: form.jotform.com/241974358496069 Be sure to check out Emily's books! Really Very Crunchy: A Beginner's Guide to Removing Toxins from Your Life Without Adding Them to Your Personality Her children's book: Little Helper, Big Imagination Intro/Outro Music Produced by Shannon Rose Webb Check out her music here. https://open.spotify.com/artist/16o01TpoG8Ib6RMshXk1yP?si=czVdfRYwTqiJrsiLGrjQSg Really Very Crunchy Socials YouTube Instagram Facebook TikTok Learn more about your ad choices. Visit megaphone.fm/adchoices
We're back talking about the Olympi..sh. From Jason and Kylie's support of women's sports to Ilona Maher's fame to the stories behind USA's three gold medals, give us a few minutes to catch you up. Hosted on Acast. See acast.com/privacy for more information.
In our 3rd episode of Lights Out the boys reflect on their favourite vacation stories. From Jason's legendary side of the highway Tonawanda Motel memories, to Jamie's multiple drinking contest championships and people putting fingers in throats, to Chris' family leaving him to die on the side of a mountain, buckle up for some tales of adventure on this weeks Lights Out!
In this touching episode, Theresa unites Jason and Dominique with their departed loved ones for an unforgettable reading. You will be moved by the powerful connections and heartfelt messages that come through from spirit. From Jason's grandfather, to Dominique's father, both step forward with their strong, loving presences. In this reading we hear the deep bonds and unspoken words that provide Jason and Dominique with the healing and validation they truly needed.Listen to this episode filled with laughter, tears, and moments of profound connection that you won't want to miss.Call 1-866-TCAPUTO for your chance at a reading on Hey Spirit!Stay in touch with Theresa!Facebook - Instagram - Twitter - TikTokwww.theresacaputo.com Hosted on Acast. See acast.com/privacy for more information.
In this podcast episode, we bring you the latest updates on the beloved Kelce brothers, Jason and Travis. From Jason's recent retirement announcement after an impressive 13-season run with the Philadelphia Eagles to Travis' headline-making romance with pop superstar Taylor Swift, we've got all the juicy details you've been craving. We'll also dive into the hilarious story behind Jason's wife Kylie's viral Irish dancing video and the brilliant idea Jason pitched for an Andy Reid emoji on the brothers' New Heights podcast. Plus, we'll explore how Jason's influence may have played a role in Travis' whirlwind relationship with Swift. If you're a fan of the Kelce brothers and can't get enough of their football prowess, family dynamics, and entertaining antics, then this is the episode you won't want to miss!
In this entertaining article, we delve into the lives of NFL stars and podcast hosts Jason and Travis Kelce, exploring their recent Podcast of the Year award, Travis's high-profile relationship with Taylor Swift, and the emotional rollercoaster they've experienced off the field. From Jason's heartfelt speech that united their diverse fanbase to Kylie Kelce's surprising Irish dancing skills and the brothers' upcoming appearance on Forged in Fire, this story is a testament to the power of family, community, and the unbreakable bond between these two remarkable siblings.
The Kelce brothers, Jason and Travis, embark on new adventures and face fresh challenges after Jason's retirement from the NFL. From Jason's emotional farewell to Travis' Singapore trip with girlfriend Taylor Swift, the article explores the brothers' unbreakable bond, their aspirations to become bladesmiths on "Forged in Fire," and the heartfelt moments they share with fans and fellow athletes. The piece is a testament to the Kelce brothers' zest for life, their ability to embrace change, and their unwavering support for each other through thick and thin.
In today's episode of Culture Camp, Jason is joined by Vini Marques, and they reflect on the past year, discussing personal milestones, unexpected challenges, and the valuable lessons that have shaped their mindset. From Jason turning 30 years old to the trials of business, they delve into the importance of self-awareness, staying authentic, and the relentless pursuit of solutions. They also talk about overcoming complacency, building strong teams, and the profound impact of embracing discomfort for personal and professional growth.Tweetable Quotes:"I'm sacrificing everything just because I care so much about this company." - Jason Haugen"I have a hard time doing anything until things are completed." - Jason HaugenIf you found value in this episode, please leave a rating and review, also, don't forget to share it with a friend! Remember to follow us on Instagram for more!
Ever find yourself trapped in a game of "Calendar Tetris," where each meeting block interrupts the natural flow of your day, leaving you little room for meaningful work?Today on Rework, host Kimberly Rhodes sits down with Jason Fried and David Heinemeier Hansson to discuss the pitfalls of modern scheduling tools and their impact on productivity from their book, It Doesn't Have to Be Crazy at Work. Listen in as they walk listeners through scheduling at 37signals, where they don't share calendars, and everyone is in control of their own time. Plus, tune in for a sneak peek of the upcoming HEY Calendar, with innovative features designed to empower you to regain control of your time.Key Takeaways: Learn the biggest problem with calendar Tetris and how these small, disjointed chunks hinder individual productivity and focus.Conversation over convenience - why actively asking for someone's time through conversation helps to foster intentionality (and reduces unnecessary meetings).Explore how 37signals redefines scheduling to empower individuals with full control over their time.Learn how the strategic introduction of scheduling friction prevents a culture of excessive meetings, fostering a shift toward asynchronous work.Discover a work culture where meetings are optional, highlighting the significance of prioritizing tasks with personal meaning.HEY is introducing a calendar! Just as the 37signals team revolutionized email, they've now transformed calendaring for 2024.Rework is a production of 37signals. You can find show notes and transcripts on our website. Full video episodes are available on YouTube and X (formerly known as Twitter).If you have a question for Jason or David about a better way to work and run your business, leave us a voicemail at 708-628-7850 or email, and we might answer it on a future episode. Links and Resources:From David's HEY World: Just let me do my job From Jason's LinkedIn: What my calendar looks like It Doesn't Have to Be Crazy at Work Books by 37signalsSign up for a 30-day free trial at Basecamp.comHEY World | HEY The REWORK podcastThe Rework Podcast on YouTubeThe 37signals Dev Blog37signals on YouTubeThe Rework Podcast on YouTube@37signals on X 37signals on LinkedIn
As we wrap up our 5-episode event, we cover Bill's favorite monster - the slasher. From Jason to Freddy, we discuss the differences between these monsters and name a few you may have forgotten about. We also play "things Scott might not know about the Goonies" or something like that. It's your mom's favorite part. Finally, we finish up the show with our latest Hollywood news discussions.Too Much CGI is a podcast made for grown adolescents from the 1980s. You have found your tribe. Subscribe!Please review us - it would mean a lot! https://ratethispodcast.com/toomuchcgi Know someone who would like our show? Please share. We need your help to grow!Contact: Too Much CGI - The Podcast Tweet us at @TooMuchCGI Email us at www.toomuchcgi.com
From Jason's Website: Hello, I am Jason Marsteiner and I am the owner/founder of Colorado Mountain Man Survival, LLC and founder/CEO of the non-profit organization, The Survival University. I decided to officially start this journey in 2010 when I made the move to establish a Survival School to pass on my knowledge to all those interested, but there is much more purpose behind it than just being with like-minded individuals. I'm a Wilderness Survival Instructor and I teach people how not to die in the backcountry. I can survive off the land with little more than a knife. Take my knife away and I will make one out of nothing. I get asked at least once a week about being on Naked and Afraid. That's not happening. Not because I'm scared of being naked, but because the show is about drama, not skills, and I don't like drama. I've been on the news multiple times on foreign travel channels, in books and magazines, and am a published author of "WILDERNESS SURVIVAL GUIDE - Practical Skills for the Outdoor Adventurer". If there is ever a zombie apocalypse, then I'm your man! If we are ever in a plane crash in some remote area, I'm not your man because... Murphy 's Law and every horror movie ever made, states that I am first to die in the crash. If I do happen to survive then no worries... our vacation just turned into an adventure!!! Check out this episode's sponsor: https://blokes.co/ https://www.instagram.com/getblokes --- Support this podcast: https://podcasters.spotify.com/pod/show/whothewyldthingsare/support
This episode is sponsored by MDO and their new report, Data-driven Strategies to Move Beyond Rooms Revenue.Are you making the most of your business's revenue sources? All of them? Jason Freed, Hospitality Data Evangelist at MDO, and Billy Copelan, Director of Revenue Management at Sea Island Resorts, share their insights on unlocking the full potential of total revenue optimization. From Jason's background as a former journalist to Billy's passion for data and revenue management, their experiences have led them to explore the power of data to grow profitability.Delving into the world of business intelligence and revenue management strategies, we uncover how Sea Island Resorts is using data to optimize its total revenue. Jason and Billy discuss the importance of combining data from all revenue sources, and how Sea Island increased its golf course revenue through customized packages and strategic tee times. Plus, learn how accurate forecasting and understanding ancillary spending can boost profits, like predicting the number of steaks sold each night and identifying which servers excel at upselling.But it's not just about profits; providing value is equally important. We explore how Sea Island Resorts is using data analysis to offer incentives like "Member Monday" and additional discounts at specific times to drive business during slower periods. Discover how they leverage tools like PowerBI for interactive reporting and revenue management strategies to enhance membership experiences and optimize revenue. What did you think about this episode? Join the Hospitality Daily community on LinkedIn and share your thoughts. If you care about hospitality, check out the Masters of Moments podcast where Jake Wurzak interviews top leaders in hospitality. His conversations with Bashar Wali and Matt Marquis are a great place to start, but also check out his solo episodes such as how he underwrites investment deals and a deep dive into GP fees you know about. Music by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands
Jason Millar, also known as Jay, is the inspiring founder of Jay's Barber Club and Jay's Pro Barber Academy in Belfast, Northern Ireland. Despite a difficult upbringing, which included growing up with an alcoholic mother and being orphaned at a young age, Jason has overcome drug and alcohol addiction to build a successful business that not only keeps the community looking sharp, but also gives back to it. Jason's commitment to mentoring fellow barbers and helping those less skilled to change their lives or start a new career has made him a hero to many. He has even written a book, "From Jason to Jay," about his remarkable journey. On this episode of Sound Advice: Entrepreneurs Unfiltered, Jay shares how he took control of his life and built a thriving business.
Laurel Snyder, an Atlanta-based author, joined Leah to talk about the music and marriage of Jason Isbell and Amanda Shires. From Jason's early career in the Drive By Truckers to current collaborations with his wife Amanda Shires, their music was the soundtrack to Laurel's pandemic life. Laurel's new book The Witch of Woodland is available for pre-order now and is a perfect gift for tweens preparing to prepare for their b'nai mitzvah. Keep up with Laurel on LaurelSnyder.com Show Notes Little Shop of Stories (order signed books) https://18doors.org/ JasonIsbell.com AmandaShiresMusic.com Tiny Desk Concert The Nashville Sound Amanda Shires Youtube Jason Isbell Instagram Amanda Shires Instagram Hope the High Road Elephant Something More than Free Jeff Tweedy and Ezra Klein The Triggering Town
Batman is dead. Yeah you read that right. Now it's time for the team of proteges to put on their collective cowls and take the mantle as Gotham's protectors. Finally we get a game built around playing as the sidekicks in one of the biggest and greatest comic book universes in history. From Jason(chasin') bad guys, climbing Barb-wire fences and Dick'n around the Gotham streets listening to Drake, Gotham Knights has it all. Join us as we show some love for the overlooked heroes in training, in a modern take of a story from the past.
From Jason and Sofia, Happy Holidays! It's been an incredible year full of fantastic conversations and connections and we are so looking forward to 2023!
**LIVE SHOW! We have our first LIVE SHOW coming up Oct. 30! Read below for deets!***Ki-ki-ki ma-ma-ma* From Jason's Mom to Jason to Tommy Jarvis back to Jason but then also transferred to random people because I guess Jason has that power now after 9 movies and then to Space Cyborg Jason! Film Fights celebrates its 50th Episode with our final Franchise Frenzy of the month in which a different horror film franchise is watched, battled, and ordered from Best to Worst by the fearless Film Fighters, Kon 'n Jon. The hockey masked, machete-wielding maniac we all love to be scared of is on the chopping block with every Friday the 13th/Jason film (except the remake and Freddy vs Jason) being discussed from the original to X!Tangents include: The 70 The Now, Scary Cherry, Hitchhiking Babysitters, Strip Monopoly, Not a Great Swimmer, Sunny D(on't Tell), Crispy Glover, Hand Lasagna, Mentos Ad, Australian Hockery Diggery, Chili's Too Hot Cakes, Jason Raps, Telekinesis Girl, Jason vs Muppets, Pizza X, Very Used Cars, West Side Jason.**LIVE SHOW - Film Fights Podcast will be performing live at Dallas Comedy Club on Sunday, October 30! Kon 'N Jon will be discussing ALL the Nightmare On Elm Street films! Plus a Q&A, Giveaways, and Exclusive Merch! Get tickets here: https://www.prekindle.com/promo/id/531433528682163398
Listen in podcast app- Peter Zeihan on Alberta's Future- Recap of the Fed Meeting- Rashida Gets Dunked On By Jamie Dimon- Putins Golden Bridge and Alex Karp- The World Will Never Be The Same - Globe and Mail article- Crisis In Male Masculinity- FINALLY SOME TAX POLICY CHANGES IN CANADAListen on Apple, Spotify, or Google Podcasts.If you aren't in the Reformed Millennials Facebook Group join us for daily updates, discussions, and deep dives into the investable trends Millennials should be paying attention to.
From Jason in a hockey mask to a recent Ghostbuster, with plenty of weirdness in between, I discuss retro-horror movie influences that are so obscure some of the films' own directors might not even be fully aware of them. Here is the list of movies discussed: The Monster Professor: a show in which we discuss … Continue reading Obscure Horror Movie Influences
In this week’s episode of The Mixtape with Scott, I had the pleasure of interviewing Kyle Kretschman, Head of Economics at Spotify. It was a great opportunity for me because Kyle is one of the first economists I have spoken to who didn’t enter tech as a senior economist (e.g., John List, Susan Athey, Michael Schwarz, Steve Tadelis). Kyle entered tech straight out of graduate school. He spent much of his career at Amazon, a firm that has more PhD economists than can be easily counted. Under Pat Bajari’s leadership there, Kyle grew and his success was noticed such that he was then hired away by Spotify to lead up their economics team. At the end of the interview, I asked Kyle an economics article that has haunted his memories and he said “BLP”, which is affectionate shorthand that “Automobile Prices in Market Equilibrium” by Berry, Levinsohn and Pakes 1995 Econometrica goes by. I really enjoyed this interview, and despite the less than ideal sound quality at times, I hope you will too.But before I conclude, I wanted to share some more of my thoughts. This series I’ve been doing on “economists in tech”, which has included interviews with John List, Susan Athey, Michael Schwarz and Steve Tadelis, comes from a complex place inside me. First there is the sheer curiosity I have about it as a part of the labor market for PhD economists. As I have said before on here, the tech sector has exploded in the last decade and the demand for PhD economists has grown steadily year over year. Tech demand selects on PhD economists with promising academic style research inclinations. There is substantial positive selection in this market as firms seek out strong candidates can be produce value for them. This is reflected in both junior market salaries, but also senior. Job market candidates are economists with technical skills in econometrics and economic theory, not to mention possess competent computer programming skills in at least one but often several popular coding languages. They are also candidates who were often entertaining careers within academia at the time they entered tech, and in those academic careers, they envisioned themselves writing academic articles about research they found personally and scientifically important and meaningful. Going into tech, therefore, would at least seem to involve choice that may go far beyond merely that of taking one job over another. It may involve a choice between a career in academia and a career outside it, which for many of us can feel permanent, as though we are leaving academia. And for many economists, it may be the first time they have ever contemplated such a thing. If they do internalize the story that way, if they do see taking a job in tech as “leaving academia”, then I can imagine that for at least some economists, that may be complicated, at least. But there’s another reason I have been wanting to talk to economists in tech and that is I am very concerned about the welfare of our PhD students. In a recent article published in the Journal of Economic Literature, economists interviewed graduate students in top economics programs. They found there incredibly high rates of depression, anxiety, loneliness and even suicidality. This is a common feature of graduate studies, but it is interesting that PhD economists have incredibly good employment opportunities and yet the depression and anxiety plague there too. One of the things that struck me in that study was the disconnect between what graduate students felt about their work and what their advisors felt about their own work. Many students, for instance, do not feel they are properly supported by advisers, do not believe their advisers care about their research success and do not even care about them as a person. Whereas most Americans (and faculty) feel that their work has a positive impact on society, only 20% of PhD students in economics feel that way. (I discussed the article as well as my own research on the mental health of PhD students here.) I suppose part of me feels a great sigh of relief to see the labor market for PhD economists expanding in light of those troubling statistics. If students know that life is full of infinite possibilities, then perhaps they can begin to process earlier what they want to do in the short years they have on this small spinning ball of rock we call Earth. If students do not in the end want to become professors, if they do not have the opportunities to become one, they should know that there is no “failure” involved there. Careers are just that — careers. They do not tell us who we are. The sooner a student can detach from the unhelpful story that our value is linked to a vita listing our accomplishments, the sooner they can begin their own life work of choosing their meaning. Can having more labor market opportunities with more employers competing for them help do that? Well no, not really. At least, not exactly. It can disrupt certain equilibrium, but then the new equilibrium can just as easily cover that up too. Still, I do like the idea that to keep students in academia, universities and departments must fight harder for them, pay attention to them, and invest in them as people. I like the idea that students have more options and that the options are diverse. Will it help their depression? Well, that’s another matter, as that’s complex. And presumably the economists in the survey I mentioned were themselves well aware of the career options they had since they were coming from the nation’s top 10 PhD programs in economics. I suppose my point is that ultimately, the burden of life really cannot be resolved with money or career. We are trained to look there because we have boundless appetites. But ultimately the hard work of navigating life can only be helped so much by a job. We must still decide for ourselves what meaning we will choose for ourselves. But one thing I know, and one thing which I think our profession is profoundly bad at saying out loud, is that if we make our identity connected to vitas, we will not just be miserable, we will be hopeless, and probably poisoned. Such a mindset leads to endless laps on a brutalizing treadmill of meaningless performance in which a person chases for first place in a race they don’t remember signing up for and which they cannot win. They compare themselves with others running, not knowing that they too are brutalized by their own treadmill, not realizing that it is impossible to catch up with someone else as there is always someone else ahead of us. The sooner we learn that the joy we long for will not come when we get a top 5, the sooner we can look elsewhere. It has taken me many years to relearn a lesson I learned decades ago — I am whole now. I am complete now. I still run, and I still chase, but I am not chasing completeness. I am not chasing my own wholeness. Being whole and complete has nothing to do with a career. Careers are ultimately orthogonal to hope, which does not mean they do not matter — they absolutely matter. But if asked to deliver meaning, we will find that our jobs are as weak as wet spaghetti at such a task as that.So, I suppose in some ways I simply want to announce — there are incredible opportunities for economists inside government, commerce and academia. But the weight of this life is not likely to be lighter in any one of them, for the weight we feel in life is largely self imposed, inside us, in the stories we tell about who we are and for many of us who we are not. Those stories are real, because we feel them and because we believe them, but they are not true. All stories are wrong, but some are useful, and the story that our lives can only matter if we have certain types of jobs or certain types of success, while it may be useful to getting a paper out or accomplishing something important, in a much bigger sense it is hollow at best and pure poison at worst. TRANSCRIPTThis transcript will be updated once the more complete transcript is finished; for now it was transcribed using voice-to-text machine learning.Kyle Kretschman:Might not have prepared myself well enough to be attractive for some of the most pop most top tier schools. Scott Cunningham:In this week's episode of the mix tape with Scott, I had the pleasure of interviewing Kyle kretchma the head of economics at the streaming platform. Spotify. Before I dive into the interview, though, I wanted to give you a bit of a heads up about the sound quality. Unfortunately, the sound quality in the interview on Kaza side is a bit muffled. We discussed refilming. It tried to find a way to tweak it, but there were certain constraints on the actual sound itself that kept us from being able to do it. And we didn't feel that refilming, it would be good because we thought that the interview had a lot of serendipitous kind of spontaneous tangents and things spoken about that. We thought students and people in academia would want to know, would need maybe even need to know. And I doubted that I could recreate it, cuz I don't even know why it happened. Scott Cunningham:So I'm gonna post a video version of this at my subs, for those who feel that a video version would help them kind of follow it in so far as the audio might be at times challenging. So check out the subst for those of you that wanna watch, watch it instead of just listen to it, hopefully that'll help. I won't say much here by way of introduction, except to say a few things about Kyle, because I wanted to let Kyle tell you his story in his own words, cuz it's his story to tell. And it's an interesting story. Kyle's a PhD economist though from the university of Texas Austin, which is down the road from where I live and work at Baylor, where he wrote on topics in graduate school and applied econometrics, empirical industrial organization or empirical IO and public choice after graduating, Kyle went to Amazon, not academia. Scott Cunningham:In fact, given we might start the boom of tech hiring PhD economists in the early to mid 20 2010s. You could say Kyle maybe was sort of one of the earlier hires among that second wave of PhD economists that went there. He worked for several years at Amazon before being hired away by Spotify to head up and lead a new economics team there, perhaps this is part of a broader trend of tech firms building up more internal teams, not just of data scientists, but like Amazon departments of economists who knows recall though from an earlier interview with Susan athe where, when I asked Susan why she said pat Maja had done something amazing at Amazon, she said he made economists productive. And in time he made many of them productive and very in productive from what I've been able to follow. And Kyle is from what I can gather someone whose skills matured and deepened under the leadership of Papa jar at Amazon and other leaders at and other economists at Amazon. Scott Cunningham:And he was ultimately hunted down by a major tech term to create an economics team there I'm by no means an expert on the labor market for PhD economists. I just have been very intrigued and curious by the, the, the Mar the labor market for PhD economists in tech, because well, partly because of realizing first that cause of inference was really valued in tech, but then to sort of realize that there was just this very large community of economists there, but I don't think it's controversial to say over the last 10 to 15 years, the tech industry really has been disruptive in the labor market for PhD economists. They continue to hire at the junior and senior market in larger and larger volume selecting more and more on people who likely would've gone into academia into tenure track or tenured positions. They pay very high wages, some of the very, some of the highest wages in the country, both at the junior level and especially at the, at the higher end at the, at the more advanced levels, people can earn compensation packages by the, in the, by the time they're in their thirties, that many of us didn't know were possible. Scott Cunningham:It's in my mind, historically novel, and I might be wrong about this, but it, it seems historically novel that the PhD economists who likely would've produced academic research papers in tenured and tenure track jobs have begun to branch out of academia, but maintain those skills and maintain that research output. It's partly driven best. I can tell, buy Amazon, I might be wrong, but by Amazon and paja, as well as Jeff Bezos own view, that economists are what I guess we would just say value added for many firms. Therefore I'm continuing to wanna speak with economists in tech to help better trace out the story. This interview with Kyle follows on the back of earlier interviews with people in tech like John list, you know, a, a distinguished professor of economics at the university of Chicago, but also the former chief economist that Lyft and Uber now Walmart Michael Schwartz, former professor of economics at Harvard. Now, chief economist at Microsoft and Susan athe former chief economist at Microsoft professor at Stanford and now chief economist at the DOJ. I hope you find this to be an interesting dive into the industry. Learn a little bit more about economists there, but by, by learning the about one particular important economist, there a, a young man named Kyle crutch, head of economics at Spotify, my name's Scott Cunningham. And this is the mix tape with Scott. Scott Cunningham:Well, it's my pleasure today to have, as my guest on the mix tape with Scott, Kyle crutch, Kyle, thanks so much for being on the call. Kyle Kretschman:Hey Scott, thanks for having me really appreciate the time to talk Scott Cunningham:Well before we get started with your career and, and everything. I was wondering if you could just tell us your name and your title and where you work. Kyle Kretschman:Sure. Yeah. As you said, I'm Kyle kretchma, I'm the head of economics at Spotify, Scott Cunningham:Head of economics at Spotify. Awesome. Okay. I can't wait to talk. So let me, let me, let's get started. I was wondering if you could just tell me where you grew up. Kyle Kretschman:Sure. So most of the time I grew up in outside of Pittsburgh, Pennsylvania, about an hour north of the city, real real small town probably had one stop light. And maybe the, the funny story that I can share is what I took my wife there. She asked where's the Starbucks. And I said, no Starbucks here. There's no Scott Cunningham:Starbucks. Kyle Kretschman:Yeah. So pretty small town called Chippewa township in Pennsylvania. Scott Cunningham:Oh, okay. Is that near like Amish stuff or anything like that? Kyle Kretschman:No, that's the other side of the state. So this would be Western Pennsylvania about near the end of the turnpike, about five minutes from the Ohio border. Scott Cunningham:Oh, okay. Okay. You said, but you, did you mention, you kind of grew up in different places? Kyle Kretschman:Yeah. So before that, my father worked in civil engineering and so would do build roads and bridges basically across every, across the nation. So I was actually born in Louisiana, lived there with, I think for a whole two, three weeks. I don't quite remember. Cause I was pretty young obviously, but then Michigan and then spent some time in Philadelphia before moving out to Pittsburgh around second grade. Scott Cunningham:Oh, that's kinda like, that's like when people described their parents being in the military, just kind of moving around a lot. Kyle Kretschman:Yeah. A little bit. So, but Scott Cunningham:Then you settled in the second grade Kyle Kretschman:That's right. Yeah. So outside of Pittsburgh and then stayed in Pittsburgh through high school and even through undergrad. Scott Cunningham:Oh, okay. Oh, you went to undergrad in Pennsylvania. Kyle Kretschman:Yeah, I did. So I went to undergrad at the university of Pittsburgh. Oh, okay. It was, yeah. If, I guess maybe continuing the story growing up in a town with no Starbucks. I was, I was pretty intrigued by going to a city. Yeah. And find out that lifestyle and yeah, we might have lived pretty close, like an hour away, but we didn't go down to the city very much. So Pittsburgh was just really, really enticing for a city to, for, to go to undergrad in. And so I basically looked at all schools that were in cities and so the proximity plus then the, the ability to just spread my wings and explore what it's like to be in a city was really, really enticing. Scott Cunningham:Did any of your friends go to pit with you? Kyle Kretschman:Yeah, so there's probably, I grew, I graduated from a class of about a little over 200 people in high school and I think there was like five or six people from high school that went to pit for my class. So definitely had some really good friends who went and kept in touch with, through undergrad. Scott Cunningham:Mm. Yeah. So it wasn't, were you sort of an early generation or you weren't, were you a first generation college student in your family or did your parents go to college Kyle Kretschman:Combination? So my dad went to Penn state civil engineer, as I mentioned, me and my mom actually graduated from undergrad the same week. So my mom went back to school later in life after me, after we went to school. And so yeah, we, we were able to celebrate graduation cuz she went to a small private school right outside of the city also. Scott Cunningham:Oh, okay. Okay. Yeah. Well, so what did you like to do in high school? Kyle Kretschman:So I played a lot of sports before high school and then I kind of switched into, and this was a traditional sports of football, basketball, baseball, but then I switched into tennis in high school. And so that kept me busy, but along with a lot of academics and really, really liked computer science. So played a lot of video games growing up, really enjoyed like that aspect in combination. Scott Cunningham:What games were your, were you, did you play on a, on a video game, plat platform? Like an Nintendo or did you play? Kyle Kretschman:Yeah, no, we played a lot of plays very much into like role playing games. Some of the arcade games like Marvel versus Capcom. So yeah. Yeah. Very, very interested in gaming. Yeah. Maybe I was a little too early for that. Cause you know, every, everybody in the 1990s was like, oh, I could make pu money playing video games, which wasn't true back, which wasn't true back then, but that's right. You know, nowadays Scott Cunningham:You can that's right. Yeah. You know, that's right. You can do it. There's all kinds of ways you can make money doing things today that nobody knew was possible 10, 10 or 15 years ago. Even Kyle Kretschman:My Scott Cunningham:That's cool. Yeah. I, I, it's funny, you know, computer games can keep a, keep a kid in high school going, you know, like especially I think they're kind of misunderstood. I, I had a lot of friends that, well, I mean, I, I, I had, when I didn't have a lot of, we moved from a small town in Mississippi to Memphis and I, those, those that first year when I didn't have a friends, I did bulletin boards and played Sierra online games like Kings quest. And it's like, it's like, you know, not intertemporal smoothing, but like inner temporal socializing, smoothing, you know, so that you just kind of get through some periods that would otherwise be a little lonelier. Kyle Kretschman:Yeah, for sure. And I mean, I mean for this audience, like most video games are some sort of form of constrained optimization. So there was, there was the inkling that I, I liked understanding how economies worked in high school through this and yeah. Going back to my mom, my mom always said like she encouraged it and she encouraged education. And there was actually kind of like that nexus, whenever I took economics in high school, it was like, oh, you know, some of these games really are full economies that are constrained and constrained in a way that you can understand and complete in, you know, under a hundred hours. Right. But there was that combination that was kind of showing itself of computer science, computer gains and economics of putting itself together. Scott Cunningham:So you were kind of thinking even in high school about economics in that kind of like, you know, optimizing something and like, like almost that modern theory that we get in graduate school. Kyle Kretschman:I think more, I had the intuition when I didn't have know how to say what it was in high school because my high school was pretty forward and that it offered both advanced computer science courses that could get you through definitely through first year of undergrad, maybe even through second year with advanced placement. And then they also offered advanced placement economics. And so I, I ended up taking advanced place in economics my junior year when most people took senior year. And so whenever I was going small Scott Cunningham:Town, even in that small town, they had, you had good your high school. Good econ. Kyle Kretschman:Yeah. It was a real, it was a really good high school that would put together good curriculum that did a lot of college preparatory work though. They, wow. They really leaned into the advanced placement, the AP courses to get students ready to go to school. Scott Cunningham:Wow. Wow. So even at, as a junior, you're taking AP econ, you know, you don't have to take AP econ. That kind of is say that, that sounds like somebody that was kind of interested in it. Kyle Kretschman:Yeah, very much. Yeah. And again, as soon as I, I definitely didn't get to the graduate level of understanding, like, you know, LaGrange multipliers, but the, the micro and macro sequence just made intuitive sense to me. It was like, it was kind of where I was like, yeah, this fit. And this is how I think. And some people might criticize me now that I think too much like an economist. Right. Like, but at the same time, it just like, it started to put together that language and even more so some of the frameworks that really kind of drew me into it. Scott Cunningham:Well, did you, did you, did you notice that you had this interest in computer science and this interest in economics and that they might be one, did you get a feeling that they could be in conversation with each other? Kyle Kretschman:Not Scott Cunningham:At first, our ancestors a hundred years ago. Didn't, you know, those economists didn't think that way, but now it's just so natural for this generation of economists to be almost one half, you know, one third mathematician, one third economist, one third computer scientist. Kyle Kretschman:Yeah. So not at first, but I, I feel like I made have like lucked into it, honestly, because whenever I chose to go to Pitt, I chose to start as computer science because I knew what that pass was. I was inspired by my older brother, the great teacher in high school. And like, I was definitely like, okay, a software software development engineer career is great. It's cutting edge. It's there. But after probably like the first year, it just didn't feel that end state didn't feel right. And so I made kind of the hard decision to choose, honestly, to switch into economics as a major, because I wasn't sure what the end state would be, where I was going with it. Cuz it was definitely felt more amorphous, you know, it's a social science, so yeah. It didn't feel like it was gonna be as clear cut and as, and have as much certainty. But pretty quickly, like after a year was like, oh, well we're doing, we're using E views at the time. All right, this is coding. I know how to do this. This is great. Right. And starting, starting to see some of that in undergrad was like the, kind of the aha moment that like, yeah, this is, this is a place where I can apply this love of coding and problem solving, but problems and solutions that I find really, really hard and interesting. Scott Cunningham:It was because of econometrics though. It was in that. Kyle Kretschman:Exactly. Yeah, yeah. Scott Cunningham:Yeah. Wow. That's, that's really interesting because you know, I think it's still the case that, you know, you can easily end up with an econometrics class that remains purely theoretical and doesn't end up, you know, exposing the student with a lot of actual coding, but it sounds like your professors were, were getting you into working with data. Kyle Kretschman:That's correct. Yeah. Both. Both within the class. So like I said, we used E views at the time. Yeah. And again, kind of like learning as a go, I, I don't think I really knew what I was doing whenever we were typing commands and E views, but the computer scientist in me was like, okay, well this is a function. I know functions. Didn't put outputs, but definitely didn't understand necessarily things that were going under the hoods or you know, all of the theory that goes with it. Oh, right, right, right. So it was, you Scott Cunningham:Knew the coding part, you knew you were coding, but you did, but like the, the actual statistical modeling was kind of the new part, but that was a way for you to kind of engage it a little bit. Kyle Kretschman:Yep, exactly. Scott Cunningham:Oh, that's interesting. That's interesting. Well, so what were you gonna have to choose between a computer science and an econ major did or did you end up doing both? Kyle Kretschman:So I chose an econ major, but then I had what I would call basically minors or concentrations in computer science, but then also in statistics and also in math, because once, once I had an internship at a bank and was doing data entry and I was like, eh, I don't think this is what I wanna use my economics degree for. Yeah. I had a couple professors at pit named Steve Houston and Frank Giani who brought me on as a research assistant, an undergrad to start being part of some of like their survey projects and data collection. And even, even one of 'em I don't, Steve was crazy, but he even let me TA classes on undergrad, so oh, wow. But he kinda, I mean, I, I say that jokingly because it was formative for me, it was like, okay, this is great. How do I do more of this? And he was like, well, you go get your econ PhD. And I was like, so I can be a teacher with computer science and doing economics altogether. He goes, yeah, let's do that. And so it was with the help and support of some of these really good professors and education to kind push me on this path consider to get Ancon PhD. Scott Cunningham:Mm. And that's when you were like, so how, how, what, what year would you have been in your program? Kyle Kretschman:Probably. I think I was in my junior year where I was starting to explore this. And then in my senior year is where I was like, okay, I'm actually gonna be doing more more of this and applying to grad school because going back, as I said, I entered with some credits. So my senior year was very, I didn't need a full course load. So I was looking for other things to keep me busy, which maybe, maybe that's one of the themes of this conversation is I kinda kind of like the variety and really have variety seeking behavior too. Yeah, Scott Cunningham:Yeah, yeah. Yeah. So you graduate, was there like a field that you were mostly interested in? Kyle Kretschman:I thought I would be going into macro economics. Macro. Yep. Yeah, because Steve worked on the council of economic advisors and I was really inspired by that and the application of economics within, within policy and just again, always applied economics, not necessarily theoretical. So yeah. Then again was, that would be sort of like labor and macro was like the initial idea, but finally Scott, I didn't do all my homework and like, think about like what grad school looked like or all it looked like. I kind of went a little bit more naive than I think other people with, again, ideas of how I could become like a teacher, an educator with some of these tools versus like how disciplined and single thread you need to be on research to be within an econ PhD program and to see that. Scott Cunningham:So you, so you kind of were like, so when you were thinking about graduate schools, what, how, what, what did you sort of, can you walk me through like what you were thinking and how you went about trying to apply to graduate school and where you ultimately chose? Kyle Kretschman:Yeah, sure. So applied probably the, the top 10 and the top 10 probably said no thanks. But also then was targeting specific schools that we had relationships with that I knew would provide computer science and macros. So university at the Iowa at the time, this was 2000 and had a really strong macro program. And then also at the university of Texas with Dean Corbe there, they also had one in Russ Cooper. And so those were like the two that I was like targeting at outside of what the top schools were. But yeah, as I, I kind of mentioned, I, I might not have prepared myself well enough to be attractive for some of the most pop with top tier schools because kind of, you know, as I said, bounced around and would be yeah, a little bit working on it a little bit different things and have computer science versus being solely focused on like economics and math and things that might be more of what the top tier schools were looking for. Scott Cunningham:Yeah. Yeah. You know, you know, it's like the, I mean, I'm the same way. I didn't ha have any econ classes in college. I was a English major, but the, the, the diff there's so many students that sort of seem to almost for whatever reason, know a lot sooner what they want to do and then like make those choices. And then there's just many of us that are, you know, in a process of search yeah. That when you're in a process of search, well, you, you know, by definition, that's like you're using that time to search. Kyle Kretschman:That's exactly right. As Scott Cunningham:Opposed to saying, I've gotta take, I've gotta become a triple major computer science, math, econ, and have to do like, you know, these set of these set of steps that, you know, there's no way I could even have known to do it unless somebody had told me it's weird. I mean, it's just funny how the little things can have such big repercussions for your whole life, but it's, but it, it worked out great. So you end up, where do you end up going? Kyle Kretschman:I went to the university of Texas at Austin. Scott Cunningham:Yeah. Yeah. What year was that? And Kyle Kretschman:So, so this would've been 2002. Scott Cunningham:Oh, okay. So you go to oh 6 0 7. Kyle Kretschman:Okay. And so ended up working. So I ended up working a lot with Jason, Ava. Yeah. And who came in and became the, the head of the department. Yeah. Applied econometrician who just did an amazing job going back to whenever I said, I didn't know how things worked under the hood, in those formulas. He didn't even let us use those formulas. So anytime we were doing applied econometric econometrics with them, not only we learning to teach, we're learning the theory, but he said, you have to code it yourself. You have to do the matrix algebra, you have to calculate standard errors. You can't really call those functions. So that was probably again, that wasn't until the third year, but yeah, in the first year to go back a little bit, Scott Cunningham:I, that played to your strengths though. I bet that played to your strengths. Yeah. Just at the end of the day, wanting to be someone that, that wrote down the raw code. Kyle Kretschman:That's exactly right. And, but the first year I didn't play my strength. Yeah. Yeah. So the first year I felt, I felt a little bit outta water and I was like, this is, I remember when we were proving what local non association. And I was like, this is, this is one hard, but also like, again, going back to like, that is this actually how I wanna be spending my time and right. I, I was like, yes, I do. But I was like, I, I knew that I needed to get to those applied applications. Yeah. And so that's, again, why I was thankful to be able to work with Jason and Steve Trayo and a few other, they applied econometricians at Texas that really encouraged me to explore starting in the second year. They didn't us like pin it down. And so I, I thought I, at the second year I worked like wrote the first, a paper on school choice and trying to see if I could find some sort of instrument on school selection on public versus private. And again, so that led to like that idea of like applied econometrics was really, really the thing that like, I was like, okay, now this fits again. Once we got into second and third year Scott Cunningham:Was, was picking up that intuition, that kind of like labor style identification, causal inference kind of approach. Was that something you picked up from Jason or was that just like from your labor people? Oh, okay. Kyle Kretschman:Yeah. That's yeah. From Jason and Steve a lot. They did a great job of doing that. And yeah. So then, yeah. Then I, then I threw in, I knew threw a little bit of a switch in there also, and my co-author Nick master and Arti and closest friend and classmate in Texas was very theoretical and very interested in applied empirical IO. And so we started working in that field also together. And so then I got to work with the Han me vet and Ken Hendrix on using empirical IO. So, oh, wow. Yeah. And so again, Scott Cunningham:This is the more structural, more structural econometric. So you've got this like reduced, you've kind of got this like traditional labor reduced form type of, part of your brain. And then you've got this empirical IO structural part of your brain kind of emerging at the same time. Kyle Kretschman:That's right. That's exactly right. Yeah. And then we threw, we threw everybody for a loop. I also saying we wanted to study study politics and how money turns into vote using both using all these tools. So yeah, I can see here kind of saying in hindsight, like it all makes sense in this story that I'm telling you, but at the time it was more of what you were talking about. It was searching. It was, I wanna be working on really interesting applied problems. I love the toolkit that economics provides in framing. And yeah. I have to be coding to be able to utilize these tools that I've had built up in the past. Scott Cunningham:Yeah, yeah. Yeah. So, so matching with Nick was really important Kyle Kretschman:Very much. Scott Cunningham:And why, if you hadn't to match with Nick, I mean, just kind of outta curiosity, if you could articulate the value added of that whole partnership, what was it? Kyle Kretschman:Yes. Sure. So, so we matched basically from math camp going into, going into the first year because Nick came both from the pure math and physics background and also had some experience in the air force. So the air force was sending him to Texas and he, we were, we were definitely, we definitely didn't have a lot of vend overlap on the fact. He's like, well, I would have the intuition and some of the computer skills, Nick would have the theoretical math skills, Scott Cunningham:The theoretical math skills. Yep. Kyle Kretschman:And then we just had, we had the common factor that we wanted to work hard together and learn together and we're willing to, we're willing to intellectually hash out really tough things together. Yeah. So yeah, he huge credit to him through being able to put up with me. And he says, he says the same thing once in a while. But again, matching with somebody that had the, the more real analysis proof based understanding of math was so valuable for me. And especially, Scott Cunningham:I think some empirical IO, especially empirical IO, just being able to, you know, think like an economist in the area of IO is thinking real deep about, you know, a rich set of models and modeling approaches. Kyle Kretschman:That's Scott Cunningham:Exactly right. That's definitely not what you're learning in your econometrics classes, even though they might go together. Kyle Kretschman:Yep. So, so yeah, it was just a, it was a really good match from the beginning. And so we complimented each other and we're, we're able to build a strong enough relationship to be able to be able to hash out, have really long nights yelling at each other, we say in the office, but it never, it was always for educational purposes and lifting each other up. Scott Cunningham:Was that different than what you thought grad school was gonna be like? Kyle Kretschman:Yeah. So I knew the research component a little bit. I just didn't under understand the unstructured research on how that was gonna go and like the cadence and where it was gonna and how that was gonna be so required to develop your own viewpoint. Yeah. I thought it would be more directed cuz as a 22 year old, that was the experience I had generally. So that was the big one was the undirected and I liked it, but it was also very difficult. Scott Cunningham:How would you describe what you're talking about to your college self? Who kind of like, you know, he, he doesn't really, he doesn't even have the vocabulary for what you're describing. What would you say? It was like, Kyle Kretschman:I think you use a good term. You have to be not only wanting to search, you have to be willing to search, but you also, then you have to put in the guardrails yourself to keep it focused because you're not necessarily gonna have those external guardrails that you will have from an alternative path of going to either like a master's program that's gonna be more structured or going in an industry or going to get a job. Right. Like I mentioned at a bank for like a 22 year old where entry level jobs are gonna be more structured. Yeah. So yeah, I just, I, I probably knew it, but I didn't know what it meant to be and what, what it meant to experience it. Scott Cunningham:So how did Jason and, and Steve kind of, and any other faculty, how, how did they, how did they, I, so I did this interview with Susan athe and she was saying that, you know, the amazing thing that pat Maja did at Amazon was he managed to make economists productive, which kind it was kind of a weird, weird way of saying it. And so in a way it could, in a way you could imagine a department that sort of has like a, you know, this idea of like research has got to come. There's like a, there's like a, a journey that a graduate student has to come on to just to basically make a decision to be a researcher. Yeah. You know, and you could imagine that creating the conditions for that is, is involves faculty member, doing stuff that's not necessarily obvious. What, how did they, how do you think they contributed to that for you personally? Kyle Kretschman:For me personally, at the time, again, it goes back to encourage the exploration versus mandating or saying that I need to be on one path. So like even Nick and I at the time explore the idea of a private company and how, what, what that would be into like pinching, pitching a venture capitalist on, on that. So all those things, again, in grad school, they, they were encouraged, but they weren't structured at the time. Yeah. So yeah, I can, I can, I understand Susan's comment because I was, I was one of those economists who started pretty early with pat and we, we have a lot of good mechanisms that we've learned and built at Amazon when I was there at the time through pat, through lay other people who were willing to make the jump into this entrepreneurial space that hit the election and the, of coalesce of economists doing open book, empirical research, along with data science. Right. Just becoming more and more valuable and applicable, but is kind of what Susan piloting that we can, we can talk more about if you Scott Cunningham:Want. Yeah. I do wanna talk about that. I wanna talk about the, the decision though, you know, to, to be, because you, you sort of started off in college, you know, you said things like, oh, you can become an educator and then you've gone in this non-academic direction and you know, it, it, and that's like a, that's a more common story now, you know, right. Of, of top talent, very talented PhDs that you could have easily seen 20 years ago, would've been an academia. Their counterfactuals are, are following you. And so, you know, it's, it's a, it's a big part of our, you know, collective story as economists that this, this new labor market that didn't, that didn't exist historically now exists and draws in so much talent. And I was just curious in a way you're kind of like a, a first generation person like that, you know, when you think about it, right. Cause text's not very old, right. Facebook, Facebook, what it's like 2007. And so, you know, so you've got this, you, you, you've got this, this chance to kind of say like, it must have been, so I don't wanna put words in your mouth, but I guess I was just wondering, what were the feelings like as you considered not taking an academic track and when did it start to be something in your mind that you thought that's gonna be something I'm explore Kyle Kretschman:Probably pretty early, because if you wanna really trace the roots of like tech economists back, it starts obviously with Hal varying at Google and me and Nick, actually, we, we sent an email to Hal, probably 2008 saying, do you have any, have any use for some summer interns who can do some empirical IO? And he said, no, not, not at this time, but so, but he Scott Cunningham:Answered the email. Kyle Kretschman:He did answer the email. Yeah. It was nice, nice of him to answer. Cause we knew he was probably pretty busy, but so it, honestly, when Amazon started hiring economists, I was probably searching for about a year to move into tech. If you wanna move back to the decision point coming outta grad school, honestly it was a challenging labor or a challenging job market for me, somebody who is a lover variety, who is working on empirical IO problems with campaign, policy, campaign, finance reform, policy recognition. That's, that's not fitting a lot of the standard application process. Yeah. Once again, that's so that's probably a theme for me. And again, at the time it was hard. I was, I was in the running for jobs at VA wakes force that I thought would be really good fit because they're the EDU the emphasis would be on education with the research ability to do research and work on problems that were more widely probably policy oriented. Yeah. But neither neither of them came through. So I just always knew that I industry was gonna be an option. And so Scott Cunningham:What year is this? What, Kyle Kretschman:What, what this would've been in this would've been in Scott Cunningham:20 11, 20 11. Okay. Oh, so you moved through the, you moved through the program or kind of relatively quickly. Oh 7, 4, 4, 5 years. Okay. Kyle Kretschman:Five years. Yeah. Five years. Yeah. Oh six to 11. Okay. But so for about a year, about six. Yeah. Yeah. And so starting in 2013 is whenever I started applying to the first tech job as a data scientist and got it went great until I talked to the VP who was a business part, like pure business person. When I was talking to the hiring manager at the time, it was a company who was providing college counseling as a software service. And so they would do this at their, their clients were both for profit and not for profit companies. And we were talking like, we'd get into details about treatment effects models and how we could measure the impact of their intervention. It went great. But then I had the flyout scheduled, but then the interview with the VP, he said, well, how am I gonna monetize your algorithm? Right. And I was like, I'm not sure I know what algorithm means, but right. I, I wasn't prepared for that language and that application and how you turn econometric modeling and measurement into, into business impact at the time. Yes. Right. So spent another year looking around with different opportunities like that and honestly learning again. So, so whenever Amazon, so this would've been in 2014 and then Amazon was hiring its first big cohort with pat. So this was a cohort that was about, I think there was about 13 of us. It was a no brainer. Kyle Kretschman:Whenever, whenever we did the interview, it just was like, all right, this is exactly right for me. I was hop. I was hoping it was right on the other side. And I could probably tell you some funny stories about the interview process, but I was like, this is, this is what's meant to be. Yeah. So it, it, it was like a 10 year journey from 2004 when I switched outta computer science into 2014 being like this, just this fit. Scott Cunningham:Right. Right. Right. So outta curiosity, you know, is, is there, is there something that you think is supposed to be learned by the fact that when you were on the job market and you had that interview with that, that gig and the, and you get to the VP and he articulates questions that are not traditional econ questions, or even econometrics questions like business profitability to act, it's kind of ironic, isn't it like to everybody? That's not an economist. That's actually what we, they think we do, you know, is like, they think we do all that stuff. And then they don't know that we're like, like you said, you know, trying to set up a Lara and solve, solve it, like what's a Lara, but do you think your competition at that time did know how to answer questions like that? Like non-economists in those positions Kyle Kretschman:Probably at an inflection point. Yeah. Because this is the same time. Wherever machine learning is becoming more common toolkit with an industry. So there would be like machine learning algorithms that are designed for, you know, prediction, problem sequencing, anything like that that are specifically designed to be used in a business setting to monitor. Scott Cunningham:So they, they not only know machine learning, it's like, they also can kind of immediately articulate why this would be profitable. Kyle Kretschman:I think so. Yeah, because again, the computer, so it's like in learning the language and this is the language that would probably be more understood within a machine learning computer science version is okay, well, I'm gonna use this to change the recommendation engine right. Is very common one. Yeah. That's obviously gonna be, so how are you gonna monetize it? I'm gonna improve the match and the recommendation engine it's gonna have this. So I think at the time there was a little bit of it, but, you know, hopefully I think, I think I learned pretty quick that you can, you can use econometrics in a similar vein. As I said, it's a flavor of data science, Scott Cunningham:Have you had to become a blue collar machine learner? Kyle Kretschman:I've had to understand it, but not, I think you mean by blue collar, you mean like implementing it Scott Cunningham:And yeah, I just, when I, I usually say blue collar in the sense of like, you know, you, don't like, you know, you basically are picking up these skills, but you weren't like, you know, you didn't get a PhD in computer science. You know, Kyle Kretschman:The answer was then that answer is definitely yes. So like as we, as our cohort and as we grew, the economics discipline at Amazon, that was a big part of it is how one could we bring in some machine learning scientist help educate and teach us. Mm. And yeah. So, and even in, sometimes in lecture style, we would do that because it was so important, but then even more so learning to so that you can interact with different stakeholders specifically, like machine learning scientists. Mm. Then understanding when you can actually implement it and marry it within the econometric models was definitely a huge part of the education process. Scott Cunningham:So you go to Amazon, is that right? That's like your first entry into tech Kyle Kretschman:That's Scott Cunningham:Right. Is Amazon, what's your title? Kyle Kretschman:So Scott Scott Cunningham:A scientist or economist. Kyle Kretschman:I, it was something like business intelligence engineer. There wasn't an economist job family. There was, as you said, it was kinda the forefront. I think it was this. Yeah. I think that's what it was, but Scott Cunningham:Cause it is now right. Baja has a that's Kyle Kretschman:Right. Scott Cunningham:He created a job title called economist. Kyle Kretschman:That's right. Yeah. And that got set up about a year in, so like, and I was part of the group. So we would set these, we would set up like these people and process mechanisms that allow economists to be so influential and productive within Amazon. Scott Cunningham:Mm, okay. So how is he doing it? Why, why is Susan saying he performed a miracle by making economist productive? Can you kind of describe, like, if you had to just guess at like the counterfactual, if it hadn't been, you know, pat, it hadn't even been an economist that was hired into Pat's position. Like, what is it that he, what, what is it that he, or Amazon or whatever is making you go transform and become this new version of yourself? Kyle Kretschman:There's, there's a lot of factors and I could probably spend an hour on this, but I'll, I'll try to, I'll try to reduce it down to like some key mechanisms and ideas. The first is that Amazon is probably the most data driven company. I know. Mm. They are so focused on measurement, both of things you can directly measure. And, but they are. So they were very early interested in economic measurements that are UN observables either coming from like coming from econometric models. That, that was whenever pat demonstrated some of those that was like the light bulb went off the, so, because again, it, Amazon was run by and still generally is people with operation science background. And so this over index on measuring as, as coly and as precisely as possible, well that's that's economics. So that, that was part of it. Another part of it is culturally Amazon operates that makes decisions based on six page white papers, you wanna make some economists really productive, have them write a six page white paper instead of giving them a presentation, especially to people like who may be in the background with MBAs or other people who have a comparative advantage, we economists have a care advantage in writing. Kyle Kretschman:So it was little bit of like a surprise, but you might hear these anecdotes where it's true. Like whenever you go into a, a decision making meeting, you come in with your six page white paper that says here's the business decision to be made here is my recommendation. And here's why, and people sit there and it can be a room for five people can be a room of 25 executives. They sit and read the paper and they read the whole thing. Is there an append that can go on forever depending on how big the meeting is. Sure. But that structure of, of data driven decision making, combined with how you're presenting your argument is written seems like, seems like economists should be pretty good at that. Right? Scott Cunningham:Is that a pat thing? He came up with work, the work he made, Kyle Kretschman:What was the six page idea was from Jeff Bezos. And so that was, would Scott Cunningham:Those be circulated throughout the, throughout the, the, the firm, Kyle Kretschman:The stakeholders who needed to be part of the decision making they be circulated. But again, this is every, like everybody's writing six pages. PowerPoint is basically outlawed at, at Amazon. And again, that happened mid 2000. Sometimes people can Google it to find out, but that six page culture and decision making culture, just again, fit economists. Scott Cunningham:So how is a six page paper similar to the kinds of writing that, you know, you sort of associate with economists and how is it different? Kyle Kretschman:So its I'll start with the differences. So one with the six page versus like a 30 page academic, you are not going to be able to share the research process. You are not supposed to share the research process. You're supposed to share the clear recommendation and how you got to that recommendation. Right? So if you think about like a 30 page academic paper XT, be condensed down into those six pages. In my view, they're just, that's just not how the industry operates, but you probably would know better than me on that where, but so again, where it's the same is again, it's a data driven argument. The purpose of this paper, the abstract here is the hypothesis that I have that and here's how I tested it. And here's how I'm making my conclusion. So what I always found really honestly easy was I felt like I was doing the scientific process. Like I felt I, I was with business decision making it generally work within what is the hypothesis? How are we doing this? How are we testing it? What are we think some alternative conclusions could be, but what are we making towards it? So yeah, yeah. Again, it was closer to what I felt like would be a scientific paper in and that hold of day driven mindset is again, that's more, it's very common. Amazon have a common Spotify now Scott Cunningham:Has that been influential throughout, throughout industry? Has that, how have you noticed Amazon influencing Kyle Kretschman:Some Scott Cunningham:Yeah. Like most people don't understand. Kyle Kretschman:Yeah. There there's some companies who definitely have completely adopted it. There's some companies who haven't, but the, the six pager again, that's, this is not a, this isn't a concept just to economist and tech. This is the concept is, is held up as one of the key mechanisms for all of Amazon. Scott Cunningham:Mm mm Hmm. Kyle Kretschman:One other. Scott Cunningham:How often were you writing those? Kyle Kretschman:Depends on what level you were farther in my career. That's the only thing I did was write six page papers and it would be part of like, my team would help, but again, anytime you have a key business decision to be made or an update, like you're gonna be writing the six page. So yeah, it's again, the farther, the more seniority you have though, the more that becomes your job is to communicate side and guide through these business decisions. Scott Cunningham:Do they, to you, Kyle Kretschman:They belong to the team because it's always Scott Cunningham:Put 'em on a, you can't they're like proprietary though to Amazon. Kyle Kretschman:Oh, correct. Yeah. No, they, they're not publicly available. They're Scott Cunningham:Proprietary. Like it must is it what's that feel like to do something? What's it, what's it feel like to, to do something that creative in that kind of like scientific that's siloed within the firm? Does that feel strange? Kyle Kretschman:No, it didn't. Because what it enables is to be able to work on some of the hardest questions without having to worry about without having to worry about com communication strategies or right. For press release. So no, it felt like we were able, and this is going back to like some of the things that pat and we did at Amazon make successful. We worked on some of the hardest problems at Amazon from a very early stage because we said that it wouldn't be publicly available. Right. So that's gonna do that. And Scott Cunningham:That's been a key part. Yeah. Because okay. I get it. Okay. That, that makes a lot of sense. Yeah. So who did you discover? You were, go ahead. Sorry, Kyle. Kyle Kretschman:No, I was gonna say maybe the last me to highlight. Cause again, I, I, we could probably spend this whole interview on this, but the, the other key mechanism that pat pioneered was the proliferation of economists as a job family was not pat saying and us saying, go do this. And I can give through my own personal example. It was the other business executives, seeing the measurement, seeing the results on product, just saying, okay, I want that. So it really was a demand, AKA demand, internal demand for more economists, that was gonna say, I want this with my business decision making process and want these people who can do this and collaborate across the difference. It was not a, oh, we're gonna put economist in the siloed function that everybody's gonna come here. And that was, that was my story. But the very first year I worked on projects directly for the consumer CFO, basically the whole year. It wasn't necessarily by design, but it was what happened. And at the end of the year, year and a half, the, the VP of finance said, come over here and do this with me and come build, come build an economics team and an economics function here within my organization. And that's really is again, that's the real key was it was business decision makers, demanding the ability to understand this and demanding the skill set, just like they would data science, machine learning because of demonstrated value. Scott Cunningham:What were they witnessing with their own eyes that was so compelling that they would Inc that it would increase demand. Kyle Kretschman:So both I'll call it like ad hoc economic analysis on maybe big strategy projects, but also then the introduction of econometric systems into product. Scott Cunningham:Mm. What does that mean? Introduction of econometric systems into products. Kyle Kretschman:So say you have a product that is gonna, let's go back to the recommended system. And I use that again as an abstract, but within there you might make a change to it and you might make a change with the recommender system. That's gonna cause a treatment effect. Right. So, okay. So we can do that one off to estimate that, but you could also then build an economic system. That's gonna measure those treatment effects and changes like an AB platform or things like that. So maybe people might be more common and familiar with like experimental platforms. This would also be then econom. This would be sub out the AB part of it and sub in an economic model, that's going to be doing always on measurement sometimes at a, you know, service level. So sometimes within like individual pages, sometimes it's gonna be at a monthly level, but the integration of econometric models into the product. Scott Cunningham:Right, right. Wow. So how are you a different economist because of that experience at Amazon, if you had to guess, what was it the treatment effect? Kyle Kretschman:Oh, it mean it was, it was incredibly formative because it to tie like it put the fit together with the application to where I could understand and really to where it is, my job is to take a business question, turn it into a scientific process that can be solved with econometrics. And then also be thinking about, is this a problem that needs a scalable solution? Right. So, so Amazon taught me business integration taught me so many different languages, taught me leadership and management taught me how to work with stakeholders in collaborative ways, but then even more so how to deliver the value through econometric measurement, both again, as I said, not only, not only just in ad hoc research papers or one off analysis, but also then where does this fit directly within the products that we build in tech? Scott Cunningham:Yeah. So where'd you go, seems like people don't stay very long in tech. That's like normal. Whereas like, is, is that right? People kind of like, it, it's less normal to stay your whole career at Amazon unless is that wrong or, Kyle Kretschman:I mean, it's got it still do. So it's probably tough to say that because really the, the field started, like you said, really proliferated in 2012. So I stayed at Amazon for six years and I thought I'd be staying even longer. But Spotify came with the opportunity to one work on something I care very deeply about, which is the music industry. I'm a huge music fan. They also came with the idea to build again. So, you know, that was the part that really enticed me was Spotify did not have any PhD economists who were in an and, and economist roles. They had like one in a data science role, but they didn't have the structured economic discipline that they were seeing that Amazon was proliferating. And also then going into like Uber, Airbnb and the other tech companies. And so they said, can you build again? Kyle Kretschman:And I said, yeah, I'm, I'm excited to build. And then last one, all these there's definitely personal considerations here too. And Spotify just really did a great job showing how the company as a whole has Swedish cultures and values. And at the time I had a nine month old and they said, this is a great place to come be a father with the balance and that, and I said, all right, let's make the jump and come to Spotify. And so now I've been here about two years. So cuz I, I actually went to Spotify in may of 2020. Scott Cunningham:So remind me again, your job title at Spotify. Kyle Kretschman:So I'm head of economics. Scott Cunningham:Is, is that the, is that, is that like chief economist? I, I feel like I see different, different job titles and I don't know exactly what, what everything, Kyle Kretschman:Yeah. It, it it's on the path to it. So I'm, I'm the highest ranking PhD economist at Spotify. Scott Cunningham:I see. Okay. I've been there for two years. Okay, go ahead. Sorry. Kyle Kretschman:Yeah. Cause again, that's what I was brought into build was to build, like we did at Amazon was overall integration of PhD economists within the different business units. Scott Cunningham:So this is the part I'm, I'm having some hard time, like, you know, putting, visualizing or putting in my own words. What exactly will it look like if you have been successful in five years at that goal and what would it look like if you had been a complete, complete bust? What are the two things that are like empirical that I would be able to, to observe? Kyle Kretschman:Yeah. A complete bust is probably that an economics discipline is not, is not part of Spotify and there's not, there's not a job family. So a complete bus would've been, I, I moved to Spotify, an economics discipline. I either in, or I'm working data science job, what success looks like is actually what we put first from a, so I'll talk about the people in process, discipline success. We, I came into was Scott Cunningham:Real quick. So Kyle Kretschman:Foundation on basically. Yeah. Scott Cunningham:So, so failure actually would mean that the economist community within Spotify just never materialized, is that what you're saying? And that, and that means like this, having groups of economists that, that think and use the kinds of training we had in graduate school, but in a way that is actually productive in the firm is, is that, is that right? Kyle Kretschman:So, so yeah, and again, that's, Scott Cunningham:The job is successful if you're able to actually create internal demand for economists. Kyle Kretschman:Yep. That's right. And that's, that's what I would say against from the process side. And then from the product side, that's using econometric research in the ways that I've been talking about it's using it both not only for individual analysis, but also then building econometric measurement systems that improve the product to get towards Spotify's mission of, of billion listeners and fans who can connect with over a million creative artists who are making a living. So that's, so it's a combination, it's the combination people process. Do we have the people set up? Do we have this integrated system of economists working alongside all these different types of stakeholders along with the product side of, do we have these measurement techniques that we're applying in a way that is important to Spotify's not only Spotify's business, but all the stakeholders that have an interest in Bon life. Scott Cunningham:So I feel like, you know, I think to academics that, that, and, and maybe even to some degree students, maybe I'm, maybe I'm completely an outlier here and I'm wrong, but you know, I think there's this like really shallow is a negative word. It, I mean, shallow, literally more and just like, it's just the thinnest knowledge possible of what exactly, you know, the, the, the core skillset of a successful economist is in tech. You know, and for many people they think, I think they, they think it's such a primitive level. They're like, it needs to be somebody that can code, you know, it's a data scientist, but, but it, but it, but that's not what I associate with economics. Right. So what would you, what would you articulate? It is, Kyle Kretschman:So it's the ability to do econom applied econometric research. That's applied to business problems. Mm. So within that is coding. Yes. Scott Cunningham:Right, right. Within that is coding. Kyle Kretschman:I, the vast majority, I won't say everyone, but the vast majority of tech economists are gonna have some level of coding and maybe they're not coding anymore. Like I'm not doing any coding anymore, but like they, they have that ability. So that's just again, that's, that's a skillset, but the real ability is doing long-term economic research. Because the questions that we get asked are very hard and difficult, and they are maybe in the academic setting, maybe they are publication worthy, takes that take three years, four years to actually solve with the right model. Yeah. But it's the ability to take that three year research roadmap
In this week's episode of The Mixtape with Scott, I had the pleasure of interviewing Kyle Kretschman, Head of Economics at Spotify. It was a great opportunity for me because Kyle is one of the first economists I have spoken to who didn't enter tech as a senior economist (e.g., John List, Susan Athey, Michael Schwarz, Steve Tadelis). Kyle entered tech straight out of graduate school. He spent much of his career at Amazon, a firm that has more PhD economists than can be easily counted. Under Pat Bajari's leadership there, Kyle grew and his success was noticed such that he was then hired away by Spotify to lead up their economics team. At the end of the interview, I asked Kyle an economics article that has haunted his memories and he said “BLP”, which is affectionate shorthand that “Automobile Prices in Market Equilibrium” by Berry, Levinsohn and Pakes 1995 Econometrica goes by. I really enjoyed this interview, and despite the less than ideal sound quality at times, I hope you will too.But before I conclude, I wanted to share some more of my thoughts. This series I've been doing on “economists in tech”, which has included interviews with John List, Susan Athey, Michael Schwarz and Steve Tadelis, comes from a complex place inside me. First there is the sheer curiosity I have about it as a part of the labor market for PhD economists. As I have said before on here, the tech sector has exploded in the last decade and the demand for PhD economists has grown steadily year over year. Tech demand selects on PhD economists with promising academic style research inclinations. There is substantial positive selection in this market as firms seek out strong candidates can be produce value for them. This is reflected in both junior market salaries, but also senior. Job market candidates are economists with technical skills in econometrics and economic theory, not to mention possess competent computer programming skills in at least one but often several popular coding languages. They are also candidates who were often entertaining careers within academia at the time they entered tech, and in those academic careers, they envisioned themselves writing academic articles about research they found personally and scientifically important and meaningful. Going into tech, therefore, would at least seem to involve choice that may go far beyond merely that of taking one job over another. It may involve a choice between a career in academia and a career outside it, which for many of us can feel permanent, as though we are leaving academia. And for many economists, it may be the first time they have ever contemplated such a thing. If they do internalize the story that way, if they do see taking a job in tech as “leaving academia”, then I can imagine that for at least some economists, that may be complicated, at least. But there's another reason I have been wanting to talk to economists in tech and that is I am very concerned about the welfare of our PhD students. In a recent article published in the Journal of Economic Literature, economists interviewed graduate students in top economics programs. They found there incredibly high rates of depression, anxiety, loneliness and even suicidality. This is a common feature of graduate studies, but it is interesting that PhD economists have incredibly good employment opportunities and yet the depression and anxiety plague there too. One of the things that struck me in that study was the disconnect between what graduate students felt about their work and what their advisors felt about their own work. Many students, for instance, do not feel they are properly supported by advisers, do not believe their advisers care about their research success and do not even care about them as a person. Whereas most Americans (and faculty) feel that their work has a positive impact on society, only 20% of PhD students in economics feel that way. (I discussed the article as well as my own research on the mental health of PhD students here.) I suppose part of me feels a great sigh of relief to see the labor market for PhD economists expanding in light of those troubling statistics. If students know that life is full of infinite possibilities, then perhaps they can begin to process earlier what they want to do in the short years they have on this small spinning ball of rock we call Earth. If students do not in the end want to become professors, if they do not have the opportunities to become one, they should know that there is no “failure” involved there. Careers are just that — careers. They do not tell us who we are. The sooner a student can detach from the unhelpful story that our value is linked to a vita listing our accomplishments, the sooner they can begin their own life work of choosing their meaning. Can having more labor market opportunities with more employers competing for them help do that? Well no, not really. At least, not exactly. It can disrupt certain equilibrium, but then the new equilibrium can just as easily cover that up too. Still, I do like the idea that to keep students in academia, universities and departments must fight harder for them, pay attention to them, and invest in them as people. I like the idea that students have more options and that the options are diverse. Will it help their depression? Well, that's another matter, as that's complex. And presumably the economists in the survey I mentioned were themselves well aware of the career options they had since they were coming from the nation's top 10 PhD programs in economics. I suppose my point is that ultimately, the burden of life really cannot be resolved with money or career. We are trained to look there because we have boundless appetites. But ultimately the hard work of navigating life can only be helped so much by a job. We must still decide for ourselves what meaning we will choose for ourselves. But one thing I know, and one thing which I think our profession is profoundly bad at saying out loud, is that if we make our identity connected to vitas, we will not just be miserable, we will be hopeless, and probably poisoned. Such a mindset leads to endless laps on a brutalizing treadmill of meaningless performance in which a person chases for first place in a race they don't remember signing up for and which they cannot win. They compare themselves with others running, not knowing that they too are brutalized by their own treadmill, not realizing that it is impossible to catch up with someone else as there is always someone else ahead of us. The sooner we learn that the joy we long for will not come when we get a top 5, the sooner we can look elsewhere. It has taken me many years to relearn a lesson I learned decades ago — I am whole now. I am complete now. I still run, and I still chase, but I am not chasing completeness. I am not chasing my own wholeness. Being whole and complete has nothing to do with a career. Careers are ultimately orthogonal to hope, which does not mean they do not matter — they absolutely matter. But if asked to deliver meaning, we will find that our jobs are as weak as wet spaghetti at such a task as that.So, I suppose in some ways I simply want to announce — there are incredible opportunities for economists inside government, commerce and academia. But the weight of this life is not likely to be lighter in any one of them, for the weight we feel in life is largely self imposed, inside us, in the stories we tell about who we are and for many of us who we are not. Those stories are real, because we feel them and because we believe them, but they are not true. All stories are wrong, but some are useful, and the story that our lives can only matter if we have certain types of jobs or certain types of success, while it may be useful to getting a paper out or accomplishing something important, in a much bigger sense it is hollow at best and pure poison at worst. TRANSCRIPTThis transcript will be updated once the more complete transcript is finished; for now it was transcribed using voice-to-text machine learning.Kyle Kretschman:Might not have prepared myself well enough to be attractive for some of the most pop most top tier schools. Scott Cunningham:In this week's episode of the mix tape with Scott, I had the pleasure of interviewing Kyle kretchma the head of economics at the streaming platform. Spotify. Before I dive into the interview, though, I wanted to give you a bit of a heads up about the sound quality. Unfortunately, the sound quality in the interview on Kaza side is a bit muffled. We discussed refilming. It tried to find a way to tweak it, but there were certain constraints on the actual sound itself that kept us from being able to do it. And we didn't feel that refilming, it would be good because we thought that the interview had a lot of serendipitous kind of spontaneous tangents and things spoken about that. We thought students and people in academia would want to know, would need maybe even need to know. And I doubted that I could recreate it, cuz I don't even know why it happened. Scott Cunningham:So I'm gonna post a video version of this at my subs, for those who feel that a video version would help them kind of follow it in so far as the audio might be at times challenging. So check out the subst for those of you that wanna watch, watch it instead of just listen to it, hopefully that'll help. I won't say much here by way of introduction, except to say a few things about Kyle, because I wanted to let Kyle tell you his story in his own words, cuz it's his story to tell. And it's an interesting story. Kyle's a PhD economist though from the university of Texas Austin, which is down the road from where I live and work at Baylor, where he wrote on topics in graduate school and applied econometrics, empirical industrial organization or empirical IO and public choice after graduating, Kyle went to Amazon, not academia. Scott Cunningham:In fact, given we might start the boom of tech hiring PhD economists in the early to mid 20 2010s. You could say Kyle maybe was sort of one of the earlier hires among that second wave of PhD economists that went there. He worked for several years at Amazon before being hired away by Spotify to head up and lead a new economics team there, perhaps this is part of a broader trend of tech firms building up more internal teams, not just of data scientists, but like Amazon departments of economists who knows recall though from an earlier interview with Susan athe where, when I asked Susan why she said pat Maja had done something amazing at Amazon, she said he made economists productive. And in time he made many of them productive and very in productive from what I've been able to follow. And Kyle is from what I can gather someone whose skills matured and deepened under the leadership of Papa jar at Amazon and other leaders at and other economists at Amazon. Scott Cunningham:And he was ultimately hunted down by a major tech term to create an economics team there I'm by no means an expert on the labor market for PhD economists. I just have been very intrigued and curious by the, the, the Mar the labor market for PhD economists in tech, because well, partly because of realizing first that cause of inference was really valued in tech, but then to sort of realize that there was just this very large community of economists there, but I don't think it's controversial to say over the last 10 to 15 years, the tech industry really has been disruptive in the labor market for PhD economists. They continue to hire at the junior and senior market in larger and larger volume selecting more and more on people who likely would've gone into academia into tenure track or tenured positions. They pay very high wages, some of the very, some of the highest wages in the country, both at the junior level and especially at the, at the higher end at the, at the more advanced levels, people can earn compensation packages by the, in the, by the time they're in their thirties, that many of us didn't know were possible. Scott Cunningham:It's in my mind, historically novel, and I might be wrong about this, but it, it seems historically novel that the PhD economists who likely would've produced academic research papers in tenured and tenure track jobs have begun to branch out of academia, but maintain those skills and maintain that research output. It's partly driven best. I can tell, buy Amazon, I might be wrong, but by Amazon and paja, as well as Jeff Bezos own view, that economists are what I guess we would just say value added for many firms. Therefore I'm continuing to wanna speak with economists in tech to help better trace out the story. This interview with Kyle follows on the back of earlier interviews with people in tech like John list, you know, a, a distinguished professor of economics at the university of Chicago, but also the former chief economist that Lyft and Uber now Walmart Michael Schwartz, former professor of economics at Harvard. Now, chief economist at Microsoft and Susan athe former chief economist at Microsoft professor at Stanford and now chief economist at the DOJ. I hope you find this to be an interesting dive into the industry. Learn a little bit more about economists there, but by, by learning the about one particular important economist, there a, a young man named Kyle crutch, head of economics at Spotify, my name's Scott Cunningham. And this is the mix tape with Scott. Scott Cunningham:Well, it's my pleasure today to have, as my guest on the mix tape with Scott, Kyle crutch, Kyle, thanks so much for being on the call. Kyle Kretschman:Hey Scott, thanks for having me really appreciate the time to talk Scott Cunningham:Well before we get started with your career and, and everything. I was wondering if you could just tell us your name and your title and where you work. Kyle Kretschman:Sure. Yeah. As you said, I'm Kyle kretchma, I'm the head of economics at Spotify, Scott Cunningham:Head of economics at Spotify. Awesome. Okay. I can't wait to talk. So let me, let me, let's get started. I was wondering if you could just tell me where you grew up. Kyle Kretschman:Sure. So most of the time I grew up in outside of Pittsburgh, Pennsylvania, about an hour north of the city, real real small town probably had one stop light. And maybe the, the funny story that I can share is what I took my wife there. She asked where's the Starbucks. And I said, no Starbucks here. There's no Scott Cunningham:Starbucks. Kyle Kretschman:Yeah. So pretty small town called Chippewa township in Pennsylvania. Scott Cunningham:Oh, okay. Is that near like Amish stuff or anything like that? Kyle Kretschman:No, that's the other side of the state. So this would be Western Pennsylvania about near the end of the turnpike, about five minutes from the Ohio border. Scott Cunningham:Oh, okay. Okay. You said, but you, did you mention, you kind of grew up in different places? Kyle Kretschman:Yeah. So before that, my father worked in civil engineering and so would do build roads and bridges basically across every, across the nation. So I was actually born in Louisiana, lived there with, I think for a whole two, three weeks. I don't quite remember. Cause I was pretty young obviously, but then Michigan and then spent some time in Philadelphia before moving out to Pittsburgh around second grade. Scott Cunningham:Oh, that's kinda like, that's like when people described their parents being in the military, just kind of moving around a lot. Kyle Kretschman:Yeah. A little bit. So, but Scott Cunningham:Then you settled in the second grade Kyle Kretschman:That's right. Yeah. So outside of Pittsburgh and then stayed in Pittsburgh through high school and even through undergrad. Scott Cunningham:Oh, okay. Oh, you went to undergrad in Pennsylvania. Kyle Kretschman:Yeah, I did. So I went to undergrad at the university of Pittsburgh. Oh, okay. It was, yeah. If, I guess maybe continuing the story growing up in a town with no Starbucks. I was, I was pretty intrigued by going to a city. Yeah. And find out that lifestyle and yeah, we might have lived pretty close, like an hour away, but we didn't go down to the city very much. So Pittsburgh was just really, really enticing for a city to, for, to go to undergrad in. And so I basically looked at all schools that were in cities and so the proximity plus then the, the ability to just spread my wings and explore what it's like to be in a city was really, really enticing. Scott Cunningham:Did any of your friends go to pit with you? Kyle Kretschman:Yeah, so there's probably, I grew, I graduated from a class of about a little over 200 people in high school and I think there was like five or six people from high school that went to pit for my class. So definitely had some really good friends who went and kept in touch with, through undergrad. Scott Cunningham:Mm. Yeah. So it wasn't, were you sort of an early generation or you weren't, were you a first generation college student in your family or did your parents go to college Kyle Kretschman:Combination? So my dad went to Penn state civil engineer, as I mentioned, me and my mom actually graduated from undergrad the same week. So my mom went back to school later in life after me, after we went to school. And so yeah, we, we were able to celebrate graduation cuz she went to a small private school right outside of the city also. Scott Cunningham:Oh, okay. Okay. Yeah. Well, so what did you like to do in high school? Kyle Kretschman:So I played a lot of sports before high school and then I kind of switched into, and this was a traditional sports of football, basketball, baseball, but then I switched into tennis in high school. And so that kept me busy, but along with a lot of academics and really, really liked computer science. So played a lot of video games growing up, really enjoyed like that aspect in combination. Scott Cunningham:What games were your, were you, did you play on a, on a video game, plat platform? Like an Nintendo or did you play? Kyle Kretschman:Yeah, no, we played a lot of plays very much into like role playing games. Some of the arcade games like Marvel versus Capcom. So yeah. Yeah. Very, very interested in gaming. Yeah. Maybe I was a little too early for that. Cause you know, every, everybody in the 1990s was like, oh, I could make pu money playing video games, which wasn't true back, which wasn't true back then, but that's right. You know, nowadays Scott Cunningham:You can that's right. Yeah. You know, that's right. You can do it. There's all kinds of ways you can make money doing things today that nobody knew was possible 10, 10 or 15 years ago. Even Kyle Kretschman:My Scott Cunningham:That's cool. Yeah. I, I, it's funny, you know, computer games can keep a, keep a kid in high school going, you know, like especially I think they're kind of misunderstood. I, I had a lot of friends that, well, I mean, I, I, I had, when I didn't have a lot of, we moved from a small town in Mississippi to Memphis and I, those, those that first year when I didn't have a friends, I did bulletin boards and played Sierra online games like Kings quest. And it's like, it's like, you know, not intertemporal smoothing, but like inner temporal socializing, smoothing, you know, so that you just kind of get through some periods that would otherwise be a little lonelier. Kyle Kretschman:Yeah, for sure. And I mean, I mean for this audience, like most video games are some sort of form of constrained optimization. So there was, there was the inkling that I, I liked understanding how economies worked in high school through this and yeah. Going back to my mom, my mom always said like she encouraged it and she encouraged education. And there was actually kind of like that nexus, whenever I took economics in high school, it was like, oh, you know, some of these games really are full economies that are constrained and constrained in a way that you can understand and complete in, you know, under a hundred hours. Right. But there was that combination that was kind of showing itself of computer science, computer gains and economics of putting itself together. Scott Cunningham:So you were kind of thinking even in high school about economics in that kind of like, you know, optimizing something and like, like almost that modern theory that we get in graduate school. Kyle Kretschman:I think more, I had the intuition when I didn't have know how to say what it was in high school because my high school was pretty forward and that it offered both advanced computer science courses that could get you through definitely through first year of undergrad, maybe even through second year with advanced placement. And then they also offered advanced placement economics. And so I, I ended up taking advanced place in economics my junior year when most people took senior year. And so whenever I was going small Scott Cunningham:Town, even in that small town, they had, you had good your high school. Good econ. Kyle Kretschman:Yeah. It was a real, it was a really good high school that would put together good curriculum that did a lot of college preparatory work though. They, wow. They really leaned into the advanced placement, the AP courses to get students ready to go to school. Scott Cunningham:Wow. Wow. So even at, as a junior, you're taking AP econ, you know, you don't have to take AP econ. That kind of is say that, that sounds like somebody that was kind of interested in it. Kyle Kretschman:Yeah, very much. Yeah. And again, as soon as I, I definitely didn't get to the graduate level of understanding, like, you know, LaGrange multipliers, but the, the micro and macro sequence just made intuitive sense to me. It was like, it was kind of where I was like, yeah, this fit. And this is how I think. And some people might criticize me now that I think too much like an economist. Right. Like, but at the same time, it just like, it started to put together that language and even more so some of the frameworks that really kind of drew me into it. Scott Cunningham:Well, did you, did you, did you notice that you had this interest in computer science and this interest in economics and that they might be one, did you get a feeling that they could be in conversation with each other? Kyle Kretschman:Not Scott Cunningham:At first, our ancestors a hundred years ago. Didn't, you know, those economists didn't think that way, but now it's just so natural for this generation of economists to be almost one half, you know, one third mathematician, one third economist, one third computer scientist. Kyle Kretschman:Yeah. So not at first, but I, I feel like I made have like lucked into it, honestly, because whenever I chose to go to Pitt, I chose to start as computer science because I knew what that pass was. I was inspired by my older brother, the great teacher in high school. And like, I was definitely like, okay, a software software development engineer career is great. It's cutting edge. It's there. But after probably like the first year, it just didn't feel that end state didn't feel right. And so I made kind of the hard decision to choose, honestly, to switch into economics as a major, because I wasn't sure what the end state would be, where I was going with it. Cuz it was definitely felt more amorphous, you know, it's a social science, so yeah. It didn't feel like it was gonna be as clear cut and as, and have as much certainty. But pretty quickly, like after a year was like, oh, well we're doing, we're using E views at the time. All right, this is coding. I know how to do this. This is great. Right. And starting, starting to see some of that in undergrad was like the, kind of the aha moment that like, yeah, this is, this is a place where I can apply this love of coding and problem solving, but problems and solutions that I find really, really hard and interesting. Scott Cunningham:It was because of econometrics though. It was in that. Kyle Kretschman:Exactly. Yeah, yeah. Scott Cunningham:Yeah. Wow. That's, that's really interesting because you know, I think it's still the case that, you know, you can easily end up with an econometrics class that remains purely theoretical and doesn't end up, you know, exposing the student with a lot of actual coding, but it sounds like your professors were, were getting you into working with data. Kyle Kretschman:That's correct. Yeah. Both. Both within the class. So like I said, we used E views at the time. Yeah. And again, kind of like learning as a go, I, I don't think I really knew what I was doing whenever we were typing commands and E views, but the computer scientist in me was like, okay, well this is a function. I know functions. Didn't put outputs, but definitely didn't understand necessarily things that were going under the hoods or you know, all of the theory that goes with it. Oh, right, right, right. So it was, you Scott Cunningham:Knew the coding part, you knew you were coding, but you did, but like the, the actual statistical modeling was kind of the new part, but that was a way for you to kind of engage it a little bit. Kyle Kretschman:Yep, exactly. Scott Cunningham:Oh, that's interesting. That's interesting. Well, so what were you gonna have to choose between a computer science and an econ major did or did you end up doing both? Kyle Kretschman:So I chose an econ major, but then I had what I would call basically minors or concentrations in computer science, but then also in statistics and also in math, because once, once I had an internship at a bank and was doing data entry and I was like, eh, I don't think this is what I wanna use my economics degree for. Yeah. I had a couple professors at pit named Steve Houston and Frank Giani who brought me on as a research assistant, an undergrad to start being part of some of like their survey projects and data collection. And even, even one of 'em I don't, Steve was crazy, but he even let me TA classes on undergrad, so oh, wow. But he kinda, I mean, I, I say that jokingly because it was formative for me, it was like, okay, this is great. How do I do more of this? And he was like, well, you go get your econ PhD. And I was like, so I can be a teacher with computer science and doing economics altogether. He goes, yeah, let's do that. And so it was with the help and support of some of these really good professors and education to kind push me on this path consider to get Ancon PhD. Scott Cunningham:Mm. And that's when you were like, so how, how, what, what year would you have been in your program? Kyle Kretschman:Probably. I think I was in my junior year where I was starting to explore this. And then in my senior year is where I was like, okay, I'm actually gonna be doing more more of this and applying to grad school because going back, as I said, I entered with some credits. So my senior year was very, I didn't need a full course load. So I was looking for other things to keep me busy, which maybe, maybe that's one of the themes of this conversation is I kinda kind of like the variety and really have variety seeking behavior too. Yeah, Scott Cunningham:Yeah, yeah. Yeah. So you graduate, was there like a field that you were mostly interested in? Kyle Kretschman:I thought I would be going into macro economics. Macro. Yep. Yeah, because Steve worked on the council of economic advisors and I was really inspired by that and the application of economics within, within policy and just again, always applied economics, not necessarily theoretical. So yeah. Then again was, that would be sort of like labor and macro was like the initial idea, but finally Scott, I didn't do all my homework and like, think about like what grad school looked like or all it looked like. I kind of went a little bit more naive than I think other people with, again, ideas of how I could become like a teacher, an educator with some of these tools versus like how disciplined and single thread you need to be on research to be within an econ PhD program and to see that. Scott Cunningham:So you, so you kind of were like, so when you were thinking about graduate schools, what, how, what, what did you sort of, can you walk me through like what you were thinking and how you went about trying to apply to graduate school and where you ultimately chose? Kyle Kretschman:Yeah, sure. So applied probably the, the top 10 and the top 10 probably said no thanks. But also then was targeting specific schools that we had relationships with that I knew would provide computer science and macros. So university at the Iowa at the time, this was 2000 and had a really strong macro program. And then also at the university of Texas with Dean Corbe there, they also had one in Russ Cooper. And so those were like the two that I was like targeting at outside of what the top schools were. But yeah, as I, I kind of mentioned, I, I might not have prepared myself well enough to be attractive for some of the most pop with top tier schools because kind of, you know, as I said, bounced around and would be yeah, a little bit working on it a little bit different things and have computer science versus being solely focused on like economics and math and things that might be more of what the top tier schools were looking for. Scott Cunningham:Yeah. Yeah. You know, you know, it's like the, I mean, I'm the same way. I didn't ha have any econ classes in college. I was a English major, but the, the, the diff there's so many students that sort of seem to almost for whatever reason, know a lot sooner what they want to do and then like make those choices. And then there's just many of us that are, you know, in a process of search yeah. That when you're in a process of search, well, you, you know, by definition, that's like you're using that time to search. Kyle Kretschman:That's exactly right. As Scott Cunningham:Opposed to saying, I've gotta take, I've gotta become a triple major computer science, math, econ, and have to do like, you know, these set of these set of steps that, you know, there's no way I could even have known to do it unless somebody had told me it's weird. I mean, it's just funny how the little things can have such big repercussions for your whole life, but it's, but it, it worked out great. So you end up, where do you end up going? Kyle Kretschman:I went to the university of Texas at Austin. Scott Cunningham:Yeah. Yeah. What year was that? And Kyle Kretschman:So, so this would've been 2002. Scott Cunningham:Oh, okay. So you go to oh 6 0 7. Kyle Kretschman:Okay. And so ended up working. So I ended up working a lot with Jason, Ava. Yeah. And who came in and became the, the head of the department. Yeah. Applied econometrician who just did an amazing job going back to whenever I said, I didn't know how things worked under the hood, in those formulas. He didn't even let us use those formulas. So anytime we were doing applied econometric econometrics with them, not only we learning to teach, we're learning the theory, but he said, you have to code it yourself. You have to do the matrix algebra, you have to calculate standard errors. You can't really call those functions. So that was probably again, that wasn't until the third year, but yeah, in the first year to go back a little bit, Scott Cunningham:I, that played to your strengths though. I bet that played to your strengths. Yeah. Just at the end of the day, wanting to be someone that, that wrote down the raw code. Kyle Kretschman:That's exactly right. And, but the first year I didn't play my strength. Yeah. Yeah. So the first year I felt, I felt a little bit outta water and I was like, this is, I remember when we were proving what local non association. And I was like, this is, this is one hard, but also like, again, going back to like, that is this actually how I wanna be spending my time and right. I, I was like, yes, I do. But I was like, I, I knew that I needed to get to those applied applications. Yeah. And so that's, again, why I was thankful to be able to work with Jason and Steve Trayo and a few other, they applied econometricians at Texas that really encouraged me to explore starting in the second year. They didn't us like pin it down. And so I, I thought I, at the second year I worked like wrote the first, a paper on school choice and trying to see if I could find some sort of instrument on school selection on public versus private. And again, so that led to like that idea of like applied econometrics was really, really the thing that like, I was like, okay, now this fits again. Once we got into second and third year Scott Cunningham:Was, was picking up that intuition, that kind of like labor style identification, causal inference kind of approach. Was that something you picked up from Jason or was that just like from your labor people? Oh, okay. Kyle Kretschman:Yeah. That's yeah. From Jason and Steve a lot. They did a great job of doing that. And yeah. So then, yeah. Then I, then I threw in, I knew threw a little bit of a switch in there also, and my co-author Nick master and Arti and closest friend and classmate in Texas was very theoretical and very interested in applied empirical IO. And so we started working in that field also together. And so then I got to work with the Han me vet and Ken Hendrix on using empirical IO. So, oh, wow. Yeah. And so again, Scott Cunningham:This is the more structural, more structural econometric. So you've got this like reduced, you've kind of got this like traditional labor reduced form type of, part of your brain. And then you've got this empirical IO structural part of your brain kind of emerging at the same time. Kyle Kretschman:That's right. That's exactly right. Yeah. And then we threw, we threw everybody for a loop. I also saying we wanted to study study politics and how money turns into vote using both using all these tools. So yeah, I can see here kind of saying in hindsight, like it all makes sense in this story that I'm telling you, but at the time it was more of what you were talking about. It was searching. It was, I wanna be working on really interesting applied problems. I love the toolkit that economics provides in framing. And yeah. I have to be coding to be able to utilize these tools that I've had built up in the past. Scott Cunningham:Yeah, yeah. Yeah. So, so matching with Nick was really important Kyle Kretschman:Very much. Scott Cunningham:And why, if you hadn't to match with Nick, I mean, just kind of outta curiosity, if you could articulate the value added of that whole partnership, what was it? Kyle Kretschman:Yes. Sure. So, so we matched basically from math camp going into, going into the first year because Nick came both from the pure math and physics background and also had some experience in the air force. So the air force was sending him to Texas and he, we were, we were definitely, we definitely didn't have a lot of vend overlap on the fact. He's like, well, I would have the intuition and some of the computer skills, Nick would have the theoretical math skills, Scott Cunningham:The theoretical math skills. Yep. Kyle Kretschman:And then we just had, we had the common factor that we wanted to work hard together and learn together and we're willing to, we're willing to intellectually hash out really tough things together. Yeah. So yeah, he huge credit to him through being able to put up with me. And he says, he says the same thing once in a while. But again, matching with somebody that had the, the more real analysis proof based understanding of math was so valuable for me. And especially, Scott Cunningham:I think some empirical IO, especially empirical IO, just being able to, you know, think like an economist in the area of IO is thinking real deep about, you know, a rich set of models and modeling approaches. Kyle Kretschman:That's Scott Cunningham:Exactly right. That's definitely not what you're learning in your econometrics classes, even though they might go together. Kyle Kretschman:Yep. So, so yeah, it was just a, it was a really good match from the beginning. And so we complimented each other and we're, we're able to build a strong enough relationship to be able to be able to hash out, have really long nights yelling at each other, we say in the office, but it never, it was always for educational purposes and lifting each other up. Scott Cunningham:Was that different than what you thought grad school was gonna be like? Kyle Kretschman:Yeah. So I knew the research component a little bit. I just didn't under understand the unstructured research on how that was gonna go and like the cadence and where it was gonna and how that was gonna be so required to develop your own viewpoint. Yeah. I thought it would be more directed cuz as a 22 year old, that was the experience I had generally. So that was the big one was the undirected and I liked it, but it was also very difficult. Scott Cunningham:How would you describe what you're talking about to your college self? Who kind of like, you know, he, he doesn't really, he doesn't even have the vocabulary for what you're describing. What would you say? It was like, Kyle Kretschman:I think you use a good term. You have to be not only wanting to search, you have to be willing to search, but you also, then you have to put in the guardrails yourself to keep it focused because you're not necessarily gonna have those external guardrails that you will have from an alternative path of going to either like a master's program that's gonna be more structured or going in an industry or going to get a job. Right. Like I mentioned at a bank for like a 22 year old where entry level jobs are gonna be more structured. Yeah. So yeah, I just, I, I probably knew it, but I didn't know what it meant to be and what, what it meant to experience it. Scott Cunningham:So how did Jason and, and Steve kind of, and any other faculty, how, how did they, how did they, I, so I did this interview with Susan athe and she was saying that, you know, the amazing thing that pat Maja did at Amazon was he managed to make economists productive, which kind it was kind of a weird, weird way of saying it. And so in a way it could, in a way you could imagine a department that sort of has like a, you know, this idea of like research has got to come. There's like a, there's like a, a journey that a graduate student has to come on to just to basically make a decision to be a researcher. Yeah. You know, and you could imagine that creating the conditions for that is, is involves faculty member, doing stuff that's not necessarily obvious. What, how did they, how do you think they contributed to that for you personally? Kyle Kretschman:For me personally, at the time, again, it goes back to encourage the exploration versus mandating or saying that I need to be on one path. So like even Nick and I at the time explore the idea of a private company and how, what, what that would be into like pinching, pitching a venture capitalist on, on that. So all those things, again, in grad school, they, they were encouraged, but they weren't structured at the time. Yeah. So yeah, I can, I can, I understand Susan's comment because I was, I was one of those economists who started pretty early with pat and we, we have a lot of good mechanisms that we've learned and built at Amazon when I was there at the time through pat, through lay other people who were willing to make the jump into this entrepreneurial space that hit the election and the, of coalesce of economists doing open book, empirical research, along with data science. Right. Just becoming more and more valuable and applicable, but is kind of what Susan piloting that we can, we can talk more about if you Scott Cunningham:Want. Yeah. I do wanna talk about that. I wanna talk about the, the decision though, you know, to, to be, because you, you sort of started off in college, you know, you said things like, oh, you can become an educator and then you've gone in this non-academic direction and you know, it, it, and that's like a, that's a more common story now, you know, right. Of, of top talent, very talented PhDs that you could have easily seen 20 years ago, would've been an academia. Their counterfactuals are, are following you. And so, you know, it's, it's a, it's a big part of our, you know, collective story as economists that this, this new labor market that didn't, that didn't exist historically now exists and draws in so much talent. And I was just curious in a way you're kind of like a, a first generation person like that, you know, when you think about it, right. Cause text's not very old, right. Facebook, Facebook, what it's like 2007. And so, you know, so you've got this, you, you, you've got this, this chance to kind of say like, it must have been, so I don't wanna put words in your mouth, but I guess I was just wondering, what were the feelings like as you considered not taking an academic track and when did it start to be something in your mind that you thought that's gonna be something I'm explore Kyle Kretschman:Probably pretty early, because if you wanna really trace the roots of like tech economists back, it starts obviously with Hal varying at Google and me and Nick, actually, we, we sent an email to Hal, probably 2008 saying, do you have any, have any use for some summer interns who can do some empirical IO? And he said, no, not, not at this time, but so, but he Scott Cunningham:Answered the email. Kyle Kretschman:He did answer the email. Yeah. It was nice, nice of him to answer. Cause we knew he was probably pretty busy, but so it, honestly, when Amazon started hiring economists, I was probably searching for about a year to move into tech. If you wanna move back to the decision point coming outta grad school, honestly it was a challenging labor or a challenging job market for me, somebody who is a lover variety, who is working on empirical IO problems with campaign, policy, campaign, finance reform, policy recognition. That's, that's not fitting a lot of the standard application process. Yeah. Once again, that's so that's probably a theme for me. And again, at the time it was hard. I was, I was in the running for jobs at VA wakes force that I thought would be really good fit because they're the EDU the emphasis would be on education with the research ability to do research and work on problems that were more widely probably policy oriented. Yeah. But neither neither of them came through. So I just always knew that I industry was gonna be an option. And so Scott Cunningham:What year is this? What, Kyle Kretschman:What, what this would've been in this would've been in Scott Cunningham:20 11, 20 11. Okay. Oh, so you moved through the, you moved through the program or kind of relatively quickly. Oh 7, 4, 4, 5 years. Okay. Kyle Kretschman:Five years. Yeah. Five years. Yeah. Oh six to 11. Okay. But so for about a year, about six. Yeah. Yeah. And so starting in 2013 is whenever I started applying to the first tech job as a data scientist and got it went great until I talked to the VP who was a business part, like pure business person. When I was talking to the hiring manager at the time, it was a company who was providing college counseling as a software service. And so they would do this at their, their clients were both for profit and not for profit companies. And we were talking like, we'd get into details about treatment effects models and how we could measure the impact of their intervention. It went great. But then I had the flyout scheduled, but then the interview with the VP, he said, well, how am I gonna monetize your algorithm? Right. And I was like, I'm not sure I know what algorithm means, but right. I, I wasn't prepared for that language and that application and how you turn econometric modeling and measurement into, into business impact at the time. Yes. Right. So spent another year looking around with different opportunities like that and honestly learning again. So, so whenever Amazon, so this would've been in 2014 and then Amazon was hiring its first big cohort with pat. So this was a cohort that was about, I think there was about 13 of us. It was a no brainer. Kyle Kretschman:Whenever, whenever we did the interview, it just was like, all right, this is exactly right for me. I was hop. I was hoping it was right on the other side. And I could probably tell you some funny stories about the interview process, but I was like, this is, this is what's meant to be. Yeah. So it, it, it was like a 10 year journey from 2004 when I switched outta computer science into 2014 being like this, just this fit. Scott Cunningham:Right. Right. Right. So outta curiosity, you know, is, is there, is there something that you think is supposed to be learned by the fact that when you were on the job market and you had that interview with that, that gig and the, and you get to the VP and he articulates questions that are not traditional econ questions, or even econometrics questions like business profitability to act, it's kind of ironic, isn't it like to everybody? That's not an economist. That's actually what we, they think we do, you know, is like, they think we do all that stuff. And then they don't know that we're like, like you said, you know, trying to set up a Lara and solve, solve it, like what's a Lara, but do you think your competition at that time did know how to answer questions like that? Like non-economists in those positions Kyle Kretschman:Probably at an inflection point. Yeah. Because this is the same time. Wherever machine learning is becoming more common toolkit with an industry. So there would be like machine learning algorithms that are designed for, you know, prediction, problem sequencing, anything like that that are specifically designed to be used in a business setting to monitor. Scott Cunningham:So they, they not only know machine learning, it's like, they also can kind of immediately articulate why this would be profitable. Kyle Kretschman:I think so. Yeah, because again, the computer, so it's like in learning the language and this is the language that would probably be more understood within a machine learning computer science version is okay, well, I'm gonna use this to change the recommendation engine right. Is very common one. Yeah. That's obviously gonna be, so how are you gonna monetize it? I'm gonna improve the match and the recommendation engine it's gonna have this. So I think at the time there was a little bit of it, but, you know, hopefully I think, I think I learned pretty quick that you can, you can use econometrics in a similar vein. As I said, it's a flavor of data science, Scott Cunningham:Have you had to become a blue collar machine learner? Kyle Kretschman:I've had to understand it, but not, I think you mean by blue collar, you mean like implementing it Scott Cunningham:And yeah, I just, when I, I usually say blue collar in the sense of like, you know, you, don't like, you know, you basically are picking up these skills, but you weren't like, you know, you didn't get a PhD in computer science. You know, Kyle Kretschman:The answer was then that answer is definitely yes. So like as we, as our cohort and as we grew, the economics discipline at Amazon, that was a big part of it is how one could we bring in some machine learning scientist help educate and teach us. Mm. And yeah. So, and even in, sometimes in lecture style, we would do that because it was so important, but then even more so learning to so that you can interact with different stakeholders specifically, like machine learning scientists. Mm. Then understanding when you can actually implement it and marry it within the econometric models was definitely a huge part of the education process. Scott Cunningham:So you go to Amazon, is that right? That's like your first entry into tech Kyle Kretschman:That's Scott Cunningham:Right. Is Amazon, what's your title? Kyle Kretschman:So Scott Scott Cunningham:A scientist or economist. Kyle Kretschman:I, it was something like business intelligence engineer. There wasn't an economist job family. There was, as you said, it was kinda the forefront. I think it was this. Yeah. I think that's what it was, but Scott Cunningham:Cause it is now right. Baja has a that's Kyle Kretschman:Right. Scott Cunningham:He created a job title called economist. Kyle Kretschman:That's right. Yeah. And that got set up about a year in, so like, and I was part of the group. So we would set these, we would set up like these people and process mechanisms that allow economists to be so influential and productive within Amazon. Scott Cunningham:Mm, okay. So how is he doing it? Why, why is Susan saying he performed a miracle by making economist productive? Can you kind of describe, like, if you had to just guess at like the counterfactual, if it hadn't been, you know, pat, it hadn't even been an economist that was hired into Pat's position. Like, what is it that he, what, what is it that he, or Amazon or whatever is making you go transform and become this new version of yourself? Kyle Kretschman:There's, there's a lot of factors and I could probably spend an hour on this, but I'll, I'll try to, I'll try to reduce it down to like some key mechanisms and ideas. The first is that Amazon is probably the most data driven company. I know. Mm. They are so focused on measurement, both of things you can directly measure. And, but they are. So they were very early interested in economic measurements that are UN observables either coming from like coming from econometric models. That, that was whenever pat demonstrated some of those that was like the light bulb went off the, so, because again, it, Amazon was run by and still generally is people with operation science background. And so this over index on measuring as, as coly and as precisely as possible, well that's that's economics. So that, that was part of it. Another part of it is culturally Amazon operates that makes decisions based on six page white papers, you wanna make some economists really productive, have them write a six page white paper instead of giving them a presentation, especially to people like who may be in the background with MBAs or other people who have a comparative advantage, we economists have a care advantage in writing. Kyle Kretschman:So it was little bit of like a surprise, but you might hear these anecdotes where it's true. Like whenever you go into a, a decision making meeting, you come in with your six page white paper that says here's the business decision to be made here is my recommendation. And here's why, and people sit there and it can be a room for five people can be a room of 25 executives. They sit and read the paper and they read the whole thing. Is there an append that can go on forever depending on how big the meeting is. Sure. But that structure of, of data driven decision making, combined with how you're presenting your argument is written seems like, seems like economists should be pretty good at that. Right? Scott Cunningham:Is that a pat thing? He came up with work, the work he made, Kyle Kretschman:What was the six page idea was from Jeff Bezos. And so that was, would Scott Cunningham:Those be circulated throughout the, throughout the, the, the firm, Kyle Kretschman:The stakeholders who needed to be part of the decision making they be circulated. But again, this is every, like everybody's writing six pages. PowerPoint is basically outlawed at, at Amazon. And again, that happened mid 2000. Sometimes people can Google it to find out, but that six page culture and decision making culture, just again, fit economists. Scott Cunningham:So how is a six page paper similar to the kinds of writing that, you know, you sort of associate with economists and how is it different? Kyle Kretschman:So its I'll start with the differences. So one with the six page versus like a 30 page academic, you are not going to be able to share the research process. You are not supposed to share the research process. You're supposed to share the clear recommendation and how you got to that recommendation. Right? So if you think about like a 30 page academic paper XT, be condensed down into those six pages. In my view, they're just, that's just not how the industry operates, but you probably would know better than me on that where, but so again, where it's the same is again, it's a data driven argument. The purpose of this paper, the abstract here is the hypothesis that I have that and here's how I tested it. And here's how I'm making my conclusion. So what I always found really honestly easy was I felt like I was doing the scientific process. Like I felt I, I was with business decision making it generally work within what is the hypothesis? How are we doing this? How are we testing it? What are we think some alternative conclusions could be, but what are we making towards it? So yeah, yeah. Again, it was closer to what I felt like would be a scientific paper in and that hold of day driven mindset is again, that's more, it's very common. Amazon have a common Spotify now Scott Cunningham:Has that been influential throughout, throughout industry? Has that, how have you noticed Amazon influencing Kyle Kretschman:Some Scott Cunningham:Yeah. Like most people don't understand. Kyle Kretschman:Yeah. There there's some companies who definitely have completely adopted it. There's some companies who haven't, but the, the six pager again, that's, this is not a, this isn't a concept just to economist and tech. This is the concept is, is held up as one of the key mechanisms for all of Amazon. Scott Cunningham:Mm mm Hmm. Kyle Kretschman:One other. Scott Cunningham:How often were you writing those? Kyle Kretschman:Depends on what level you were farther in my career. That's the only thing I did was write six page papers and it would be part of like, my team would help, but again, anytime you have a key business decision to be made or an update, like you're gonna be writing the six page. So yeah, it's again, the farther, the more seniority you have though, the more that becomes your job is to communicate side and guide through these business decisions. Scott Cunningham:Do they, to you, Kyle Kretschman:They belong to the team because it's always Scott Cunningham:Put 'em on a, you can't they're like proprietary though to Amazon. Kyle Kretschman:Oh, correct. Yeah. No, they, they're not publicly available. They're Scott Cunningham:Proprietary. Like it must is it what's that feel like to do something? What's it, what's it feel like to, to do something that creative in that kind of like scientific that's siloed within the firm? Does that feel strange? Kyle Kretschman:No, it didn't. Because what it enables is to be able to work on some of the hardest questions without having to worry about without having to worry about com communication strategies or right. For press release. So no, it felt like we were able, and this is going back to like some of the things that pat and we did at Amazon make successful. We worked on some of the hardest problems at Amazon from a very early stage because we said that it wouldn't be publicly available. Right. So that's gonna do that. And Scott Cunningham:That's been a key part. Yeah. Because okay. I get it. Okay. That, that makes a lot of sense. Yeah. So who did you discover? You were, go ahead. Sorry, Kyle. Kyle Kretschman:No, I was gonna say maybe the last me to highlight. Cause again, I, I, we could probably spend this whole interview on this, but the, the other key mechanism that pat pioneered was the proliferation of economists as a job family was not pat saying and us saying, go do this. And I can give through my own personal example. It was the other business executives, seeing the measurement, seeing the results on product, just saying, okay, I want that. So it really was a demand, AKA demand, internal demand for more economists, that was gonna say, I want this with my business decision making process and want these people who can do this and collaborate across the difference. It was not a, oh, we're gonna put economist in the siloed function that everybody's gonna come here. And that was, that was my story. But the very first year I worked on projects directly for the consumer CFO, basically the whole year. It wasn't necessarily by design, but it was what happened. And at the end of the year, year and a half, the, the VP of finance said, come over here and do this with me and come build, come build an economics team and an economics function here within my organization. And that's really is again, that's the real key was it was business decision makers, demanding the ability to understand this and demanding the skill set, just like they would data science, machine learning because of demonstrated value. Scott Cunningham:What were they witnessing with their own eyes that was so compelling that they would Inc that it would increase demand. Kyle Kretschman:So both I'll call it like ad hoc economic analysis on maybe big strategy projects, but also then the introduction of econometric systems into product. Scott Cunningham:Mm. What does that mean? Introduction of econometric systems into products. Kyle Kretschman:So say you have a product that is gonna, let's go back to the recommended system. And I use that again as an abstract, but within there you might make a change to it and you might make a change with the recommender system. That's gonna cause a treatment effect. Right. So, okay. So we can do that one off to estimate that, but you could also then build an economic system. That's gonna measure those treatment effects and changes like an AB platform or things like that. So maybe people might be more common and familiar with like experimental platforms. This would also be then econom. This would be sub out the AB part of it and sub in an economic model, that's going to be doing always on measurement sometimes at a, you know, service level. So sometimes within like individual pages, sometimes it's gonna be at a monthly level, but the integration of econometric models into the product. Scott Cunningham:Right, right. Wow. So how are you a different economist because of that experience at Amazon, if you had to guess, what was it the treatment effect? Kyle Kretschman:Oh, it mean it was, it was incredibly formative because it to tie like it put the fit together with the application to where I could understand and really to where it is, my job is to take a business question, turn it into a scientific process that can be solved with econometrics. And then also be thinking about, is this a problem that needs a scalable solution? Right. So, so Amazon taught me business integration taught me so many different languages, taught me leadership and management taught me how to work with stakeholders in collaborative ways, but then even more so how to deliver the value through econometric measurement, both again, as I said, not only, not only just in ad hoc research papers or one off analysis, but also then where does this fit directly within the products that we build in tech? Scott Cunningham:Yeah. So where'd you go, seems like people don't stay very long in tech. That's like normal. Whereas like, is, is that right? People kind of like, it, it's less normal to stay your whole career at Amazon unless is that wrong or, Kyle Kretschman:I mean, it's got it still do. So it's probably tough to say that because really the, the field started, like you said, really proliferated in 2012. So I stayed at Amazon for six years and I thought I'd be staying even longer. But Spotify came with the opportunity to one work on something I care very deeply about, which is the music industry. I'm a huge music fan. They also came with the idea to build again. So, you know, that was the part that really enticed me was Spotify did not have any PhD economists who were in an and, and economist roles. They had like one in a data science role, but they didn't have the structured economic discipline that they were seeing that Amazon was proliferating. And also then going into like Uber, Airbnb and the other tech companies. And so they said, can you build again? Kyle Kretschman:And I said, yeah, I'm, I'm excited to build. And then last one, all these there's definitely personal considerations here too. And Spotify just really did a great job showing how the company as a whole has Swedish cultures and values. And at the time I had a nine month old and they said, this is a great place to come be a father with the balance and that, and I said, all right, let's make the jump and come to Spotify. And so now I've been here about two years. So cuz I, I actually went to Spotify in may of 2020. Scott Cunningham:So remind me again, your job title at Spotify. Kyle Kretschman:So I'm head of economics. Scott Cunningham:Is, is that the, is that, is that like chief economist? I, I feel like I see different, different job titles and I don't know exactly what, what everything, Kyle Kretschman:Yeah. It, it it's on the path to it. So I'm, I'm the highest ranking PhD economist at Spotify. Scott Cunningham:I see. Okay. I've been there for two years. Okay, go ahead. Sorry. Kyle Kretschman:Yeah. Cause again, that's what I was brought into build was to build, like we did at Amazon was overall integration of PhD economists within the different business units. Scott Cunningham:So this is the part I'm, I'm having some hard time, like, you know, putting, visualizing or putting in my own words. What exactly will it look like if you have been successful in five years at that goal and what would it look like if you had been a complete, complete bust? What are the two things that are like empirical that I would be able to, to observe? Kyle Kretschman:Yeah. A complete bust is probably that an economics discipline is not, is not part of Spotify and there's not, there's not a job family. So a complete bus would've been, I, I moved to Spotify, an economics discipline. I either in, or I'm working data science job, what success looks like is actually what we put first from a, so I'll talk about the people in process, discipline success. We, I came into was Scott Cunningham:Real quick. So Kyle Kretschman:Foundation on basically. Yeah. Scott Cunningham:So, so failure actually would mean that the economist community within Spotify just never materialized, is that what you're saying? And that, and that means like this, having groups of economists that, that think and use the kinds of training we had in graduate school, but in a way that is actually productive in the firm is, is that, is that right? Kyle Kretschman:So, so yeah, and again, that's, Scott Cunningham:The job is successful if you're able to actually create internal demand for economists. Kyle Kretschman:Yep. That's right. And that's, that's what I would say against from the process side. And then from the product side, that's using econometric research in the ways that I've been talking about it's using it both not only for individual analysis, but also then building econometric measurement systems that improve the product to get towards Spotify's mission of, of billion listeners and fans who can connect with over a million creative artists who are making a living. So that's, so it's a combination, it's the combination people process. Do we have the people set up? Do we have this integrated system of economists working alongside all these different types of stakeholders along with the product side of, do we have these measurement techniques that we're applying in a way that is important to Spotify's not only Spotify's business, but all the stakeholders that have an interest in Bon life. Scott Cunningham:So I feel like, you know, I think to academics that, that, and, and maybe even to some degree students, maybe I'm, maybe I'm completely an outlier here and I'm wrong, but you know, I think there's this like really shallow is a negative word. It, I mean, shallow, literally more and just like, it's just the thinnest knowledge possible of what exactly, you know, the, the, the core skillset of a successful economist is in tech. You know, and for many people they think, I think they, they think it's such a primitive level. They're like, it needs to be somebody that can code, you know, it's a data scientist, but, but it, but it, but that's not what I associate with economics. Right. So what would you, what would you articulate? It is, Kyle Kretschman:So it's the ability to do econom applied econometric research. That's applied to business problems. Mm. So within that is coding. Yes. Scott Cunningham:Right, right. Within that is coding. Kyle Kretschman:I, the vast majority, I won't say everyone, but the vast majority of tech economists are gonna have some level of coding and maybe they're not coding anymore. Like I'm not doing any coding anymore, but like they, they have that ability. So that's just again, that's, that's a skillset, but the real ability is doing long-term economic research. Because the questions that we get asked are very hard and difficult, and they are maybe in the academic setting, maybe they are publication worthy, takes that take three years, four years to actually solve with the right model. Yeah. But it's the ability to take that three year research roadmap and make it progress. So when you're doing that, you need to have your summary statistics that the business ca
This is the fourth in our mortgage myths series. Elissa Fesyk is asking Jason about the myths surrounding banks and brokers. If you have been with a bank for a long time and have a great relationship with them, do you need a broker? It depends. From Jason's perspective, a client should benefit from expanded... Continue reading →
Justin and Tom travel to Waterbury to sit down with Jason Woodard, Kelsea Woodard, Tanner Woodard, and teammate Bryan Wall Jr. - a.k.a. "The Hammer." Part 1 dives into everyone's start in racing, how Jason got into enduro racing, Kelsea's first trip on the racetrack ending in the infield with tears running down her face, why Tanner wanted to start in karts, and how B-Wall learned about his first racecar while getting ready for a date in 8th grade. From Jason's first chance to work on a crew at Plattsburgh to offering a "Brown Bag" for Kelsea's first Tiger, all that and more on this episode of Uncommon Deeds!
Episode 92 - Brian's Star Wars Toys - The Vintage Rebellion Podcast Top o' the mornin' to ye! That jolly little leprechaun Richard introduces a show recorded on St Patrick's Day, with special guest Brian Hickey hailing from the Emerald Isle. The lads come up with their best blarney as they take a look at the Irish Star Wars connection. There's TV talk, as we look back at the finale of The Book of Boba Fett, where Jason's predictions came scarily true, and then forward to Obi-Wan, with a dive into the latest news and of course that trailer. The lads run down a bumper list of latest acquisitions and give shout outs to some wonderful finds from around the collecting world, followed by a lively Action Figure Face-Off, and a quiz led by Pete, but with a strong Canadian flavour. Rebel Briefings sees the boys hear an amazing Kiwi tale from Mark Catley, look ahead to a collection of conventions, go scouting for toys, discover a body in the River Thames, and ponder the sale of a grail. Our main interview guest Brian Hickey is a photographer with an amazing eye for action shots of action figures, and a talent for recreating movie scenes in miniature. We talk about childhood, collecting, projects, and future plans. The show rounds off not with a bang, but a bag, as the lads look at Frankel & Roth school bags and pencil cases. From Jason's con bag to Spoons' satchel, it's a quick belt through bags and backpacks of all kinds. All this and the usual stuff and nonsense, look out for the podcast in all the usual places. Our technical Jedi, Mr Chris Porteous has also put this altogether on the moving pictures website: https://youtu.be/plhQz6Wis2c
Elissa Fesyk is back to test Jason in our third episode of the mortgage myths series. This time, the myth is that the mortgage broker is on the lenders side. From Jason's perspective, he's in it for the clients, not the lender. His job is to save you money and guide you through the process.... Continue reading →
From Jason and Carissa Weiser, the hosts of Myths and Legends, comes Scoundrel: History's Forgotten Villains. History consists of heroes and villains (and, I suppose everything in between)... but it's usually the villains who are the most interesting: Their flaws, their quirks, the voids in their hearts that force them to do the unthinkable. These are the characters that fascinate us, that pull us in, that compel us to watch and don't let us look away. And these are the characters that Scoundrel: History's Forgotten Villains is all about. Scoundrel, is a new bi-weekly anthology podcast from Kast Media and the award winning creators of Myths & Legends, that tells the stories of the rapscallions through time who were just a little more adept at hiding their evil from historians than others. By joining them on their treacherous journeys, we not only learn about what makes them tick, but more importantly, the times that created them. Sidney Gottlieb, George Remus, Hetty Green, Thomas Blood, James McClintock. They've all done horrible things...on varying scales. If there's anything we can salvage from their misdeeds and incalculable human suffering, it's the opportunity to use them to elucidate the times they've lived… so that we can better understand ourselves. Listen anywhere you get podcasts: Apple Podcasts: https://podcasts.apple.com/us/podcast/scoundrel-historys-forgotten-villains/id1609801925 Spotify: https://open.spotify.com/show/3KRjtrNffxIZzCb6gGxPCN?si=2ae9d508ac5744e9 See omnystudio.com/listener for privacy information.
Ever been in a house while it exploded? One of our listeners has, and on this episode she tells us about the inner voice that gave her enough information she was able to escape with her life (and a significant head wound). Ever wandered out into the desert late at night and stay just a little too long? So has one of our listeners, and if not for the sudden appearance of an owl, it may have ended very badly. These are just 2 of the 5 listener stories we present on an episode you don't wanna miss! Also on this episode: Paul's lobster suit, kid's say the most horrifying things, and we announce the addition of a new member to the Ghost Story Guys Family Story Time Codes: From Cody (21:56) From Jason (28:37) From Brody (40:41) From Lindsay (54:44) From Mainardo (1:11:27) Links and Media Mentioned on This Episode: Alaina Urquhart tweet "In Search of Ghosts" video March 1st LiveStream Link Bored Panda Link from Paul Spirit of the Dark, Lonely Water PSA Morbid Podcast M&M #37: Ghosts of the Stocksbridge Bypass" Ghosts on the Underground" "The Midnight Meat Train" Music on This Episode: Main Theme: "Radio (Into the Darkness We Go)" by Podzontommusic Stories Theme: "The Future Belongs to Them Now" by Hexxagram Bumpers: "I'm Indestructible [Tigerblood Jewel Remix]" by OTE "Radio" and "The Future Belongs to Them Now" are used with permission, all other music and sound FX are licensed via Epidemic Sound. Want more show AND ad-free episodes? Come find us on Patreon! We have bonus podcasts, our monthly movie night, and so much more. Click on over to Patreon.com/GhostStoryGuys to check it out! Grab yourself some Ghost Story Guys merch at our Red Bubble and TeePublic stores! Comment? Suggestion? Story you want to tell? E-mail us at ghoststoryguys@gmail.com or call The Ghost Line at 1-888-588-6920 to leave us one, or a series of questions. The Ghost Story Guys are: Brennan Storr - Host, Writer, Producer Paul Bestall - Co-Host Luke Greensmith - Researcher Sarah Kent - Support Anthony Germaine - Researcher Rachel GW - Facebook admin Pins and signed copies of "A Strange Little Place" are available via Big Cartel.
Inspired by Kendrick Lamar's song titled "The Art of Peer Pressure" off his album "Good Kid mAAd City", Jason and Irvin talk about the peer pressures they faced growing up. From Jason starting his own gang in middle school, to how Irvin got accepted by the "white kids" in Yearbook class during his years in Texas, this episode is packed with twists, turns and laughs throughout! Follow the pod's IG PAGE! IT HELPS: https://www.instagram.com/usagainsttheworldpodcast/ @usagainsttheworldpodcast Find us in the streets (the internet) : Instagram: Jason: @jayalltheway90 https://www.instagram.com/jayalltheway90/ Irvin: @irvin5waves https://www.instagram.com/irvin5waves/
On this special episode of FOUNDATIONS, host Chris Decker interviews Jason Grant and they hash it out on systems, operational efficiencies and talk about how small changes can help companies make big leaps toward profitability. Chris explains his current tech stack and flow and some of the problems he's facing at scale with his own business, Jason coaches him through some of those things and gets him to look at the bigger picture. Chris dares the audience to let him know if he should have Jason back on the show. From Jason's website about what he does with The Automated Method: What is The Automated Method?The Automated Method is perfecting business through cloud continuity and process innovation without worrying about IT.What does The Automated Method do?We get you back to focusing on your business.How?The Startup Method - a review of technology currently running your business.And then employ the perfected and strict Protocols By The Automated Method for sustainable, worry-free business operation.IT sucks, so let's focus on your business instead.Connect with Jason at his website: https://theautomatedmethod.com/
Jason joins the panel with Andrew, Gavin, and Pierre to bring you the gun show. This week we talk about court updates, listener firearms questions, and a discussion on self-defense laws that is 100% in no way legal advice. Intro Hello to all you patriots out there in podcast land and welcome to Episode 323 of Canadian Patriot Podcast. The number one podcast in Canada. Recorded Nov 15th, 2021. Andrew Gavin Pierre Jason We'd love to hear your feedback about the show. Please visit canadianpatriotpodcast.com/feedback/ or email us at feedback@canadianpatriotpodcast.com A version of the show is Available on Stitcher at and iTunes http://www.stitcher.com/s?fid=77508&refid=stpr and iTunes at https://itunes.apple.com/ca/podcast/canadian-patriot-podcast/id1067964521?mt=2 We need your help! To support Canadian Patriot Podcast visit patreon.com/cpp and become a Patreon. You can get a better quality version of the show for just $1 per episode. Show you're not a communist, buy a CPP T-Shirt, for just $24.99 + shipping and theft. Visit canadianpatriotpodcast.com home page and follow the link on the right. We're doing a pre-order of hoodies with Pierre Off The Wall Customizing email them at offthewallcustomizing@gmail.com and tell them you want a CPP sweater to stay comfy during the winter the price is 65$ + 15$ shipping. The pre-order closes on December 1. You can get a Canadian Patriot Podcast or Ragnarok Tactical hoodie, in any colour you want, as long as it's black. What are we drinking Andrew - Shakespeare Brewing, Pumpkin Brown Ale Gavin - Signal Hill & Diet Pepsi Pierre - forty creek straight Ragnarok Land Nav Mississauga ON Dec 4 and 5 $130 https://shop.ragnaroktactical.ca/collections/upcoming-classes/products/dec-5-5-map-reading-and-land-navigation-missisuga-on Patriot Challenge We're asking patriots to do 5 things everyday; Exercise for at least 45 minutes Practice a skill for at least 10 minutes Read a book for at least 15 minutes Drink at least 2 liters of water Complete 1 task that will improve your life Grab the template from our website and post it in your social media Section 74 Challenges GoFundMe link… https://www.gofundme.com/f/s74-appeals?utm_source=customer&utm_medium=email&utm_campaign=p_cp+share-sheet To get involved emails74process@gmail.c News Legal challenge over Ottawa's gun ban cleared for trial after taking a few bullets in court https://nationalpost.com/news/canada/legal-challenge-over-ottawas-gun-ban-cleared-for-trial-after-taking-a-few-bullets-in-court Listener Feedback RE: AmmoFrom: Eric Hi guys, I have a question for you. I feel a bit dumb for asking this, but are .308 rounds and 7.62 rounds the same? I know when you do the math, the two numbers are 0.008" difference in size, but does that really matter when you have a rifle chambered for 308? I am new to centrefire rifles, and I have a .308. All the ammo that I have at the moment is .308. But I'm wondering is there a significant difference to the 7.62? I appreciate the feedback that you guys give me on my dumb questions, and I love the podcast. Thanks again! Have a great night gentleman. Best regards, Eric RE: Topic for the show From Blake Can you guys do an episode on the options left for semi auto, non-restricted, magazine fed, rifles that are best to be used for preserving life and liberty? (Whatever options are out there & then what each of your picks for top 3 or top 5 would be) Thanks! Andrew's list SKS - $500 (not a detachable mag) WK-180 - $1,300 FX9 - $1,300, cope rifle for multigun and PCC matches Tavor X95 - $2,800 B&T APC - $4,000 RE: topic From: Jason Andrew As a suggestion with the Kyle Rittenhouse case maybe we could discuss the following in regards to Canadian Criminal Code Section 34 and 35 Book Club November A Handbook for Right-Wing Youth Julius Evola December Small-Unit Leaders' Guide to Counterinsurgency: The Official U.S. Marine Corps Manual USMC January The True North Tradecraft Disaster Preparedness Guide: A Primer on Urban and Suburban Disaster Preparedness Boris Milinkovich Outro We're on discord now https://discord.gg/rwA4yeeaC8 Pierre - Off The Wall Customizing on facebook and instagram and email offthewallcustomizing@gmail.com Andrew - https://ragnaroktactical.ca/ Visit us at www.canadianpatriotpodcast.com We value your opinions so please visit www.canadianpatriotpodcast.com/feedback/ or email us at feedback@canadianpatriotpodcast.com and let us know what you think. Apologies to Rod Giltaca Remember “You are the True North Strong and Free”
Jasion Champion ( Type 2) uses the Enneagrams to help other couples to work through marital issues after him and his wife had a large stumbling block themselves. He is constantly looking to better himself, his family interactions and work life with the help of the enneagrams! Listen in to hear about Jason's story! RHETI ENNEAGRAM TEST: https://www.enneagraminstitute.com/rheti/https://www.enneagraminstitute.com/interpreting-your-enneagram-test-resultsJason and His Wife's Flower Farm: www.posiefields.comhttps://www.instagram.com/posie_fields/From Jason: "I mentioned Dr. Jerome Lubbe and the impact he continues to have on my Enneagram journey. His book "Whole Identity" is a great resource for any Enneagram student. https://shop.drjerome.com/"DON'T FORGET TO SUBSCRIBE TO OUR PODCAST!!!! Please share with your friends or anyone who you think would find value in this content! LIKE our FB Page for Something Worth Saying!https://www.facebook.com/SomethingWorthSayingPodcastSTAY TUNED FOR JORDAN LEIGH WELLNESS'S VIRTUAL ONLINE YOGA, MOVEMENT & MEDITATION CHANNEL, CURRENTLY BEING CREATED!! OUR LAUNCH DATE IS TBA!Wellness Inquiries to work with Jordan Leigh directly: hello@jordanleigh.com DoTerra Essential Oils can be purchased at: https://www.doterra.com/US/en/site/nbwLink to our Facebook page: https://www.facebook.com/JordanLeighWellness/
We are back! Season 4 kicks off with the very talented actor/writer/director Jason Tobias, who talks about baseball, changing plans, his varied acting career, and the new movie "F.E.A.R" out June 15th. We want to thank Jason for stopping by and talking with us, and hope you enjoy this interesting episode. (I apologize for some minor sound issues.) From Jason's bio: Jason Tobias is an Actor that has been building credits on popular shows such as: "BETTER THINGS" (FX), "JUSTIFIED" (FX), "FRANKLIN & BASH" (SONY), "THE FOSTERS" (ABC Freeform), "NOTORIOUS" (ABC), "RUSH HOUR" (CBS), "NASHVILLE" (CMT). Additionally, some of his Feature Films include: "DOWNRANGE" (Ryuhei Kitamura), "TERRORDACTYL" (Don Bitters and Geoff Reisner), "The UNRAVELING" (Thomas Jakobsen), "Can't Have You" (Mark A. Altman) and "F.E.A.R." (Geoff Reisner and Jason Tobias). In 2016, he wrote, produced and starred in: "Star Wars: GENERATIONS" (Don Bitters III) and won for Disney / Lucasfilm at Star Wars Celebration in London. Following up, he wrote, produced and starred in "REBELLION: A Star Wars Story" (Geoff Reisner), for the "Rogue One" (Gareth Edwards) world premiere in Hollywood. In 2018, he co-founded; 'Action Figure Entertainment', with friend and collaborator; Lucas Solomon. A production company capable of developing, producing and delivering, high concept Film and Television. Together with 'Fort Night Pictures', the two production companies produced the survival/thriller feature film: "F.E.A.R.". Tobias Co-Directed with long time friend and collaborator; Geoff Reisner.
Our latest episode of “The Call” podcast featuring Jason Schechterle, and his son Masen Schechterle is out now on Spotify and TheCallPod.com! You don't want to miss how inspiring their stories are and how they overcame adversity as a family. From Jason raising a family as a law enforcement officer, to surviving a near fatal accident, and teaching his children what it means to be accountable for one's own life, we hope this episode brings to light one of many experiences that our public safety community and their families endure every day. Listen in, now!
Join Dave on this recap of the 15 days of #&$@ in 2015! From Jason, David, Henry and Michael those were the worst 14 days I've ever experienced! Others lost in other years were Dennis, Eric, Danny, Kurt, Charles and Donald. RIP my friends! #NFOFF #itsnotaboutme --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app --- Send in a voice message: https://anchor.fm/BB-B/message
Welcome back to TeeBox Chatter everyone! Thank you for taking the time out of your hectic lives to have a listen. This week, my guest is all-around nice guy and the CEO of SUB 70 Golf Jason Hiland. Join us on the tee box of the first tee as we "chatter it up" about the WGC - Dell Technologies Match Play (being played this week) and Stableford Scoring. Two formats that are fun and different and that we need more of. Also, it's all things SUB 70 Golf. A brand different from the rest. From Jason's beginnings in the golf industry to hand-written notes, and products new in 2021. Now including soft goods too!
From Jason, "Served in the Navy for over 20 years and I am currently in the Naval Reserves. Volunteer as a US Naval Academy (USNA) Blue and Gold Officer interviewing candidates for entry into USNA and providing information on USNA to high school students."Jason currently works with Schooley Mitchell a large network of independent and objective cost reduction experts. Both friendly and competent, we are consultants with specialized expertise you can trust, as thousands of happy clients have already experienced. Schooley Mitchell handles your various services without selling you anything, allowing you to focus on your core business knowing your systems are fully optimized and any wasted money is recovered. Brought to you by:Internet Marketing - http://senditrising.comKellen Kautzman - http://www.kellenkautzman.com
WHAT SHAPES YOUR LIFE? Despite the Loss is a documentary film about following your dreams despite limitations. That anything is possible when you put your mind to it. That amputees don't see the world through, or buy into, a disabled label. From Jason's website:In his directorial debut Jason Schneider set out to parallel his own story of overcoming adversity on the racetrack with stories of others like him. His thesis? That amputees don't see the world through, or buy into, a disabled label. But when an accident forces him to question the very meaning of disability, his sense of self unravels. Through personal accounts, interviews with the people who know him best, and profiles from a diverse group of amputees, Jason dissects and reframes his life, intertwining the trials and tribulations of building a race car with his personal journey for self acceptance. Hagerty Article: https://www.hagerty.com/media/news/despite-the-loss-peels-back-the-layers-of-life-as-a-racer/ Mirror Box Films Profile: https://www.mirrorboxfilms.com/blog/2019/jason-schneider-explores-his-identity-as-a-filmmaker-with-a-limb-difference-in-despite-the-loss The Age Of AI (hosted by Robert Downey Jr https://youtu.be/UwsrzCVZAb8Website: https://despitetheloss.comFacebook: https://facebook.com/despitethelossTwitter: https://twitter.com/despitethelossYouTube: https://www.youtube.com/despitethelossInstagram: https://instagram.com/despitethelossfilm Show information:How to contact and connect with JP Emersonwww.jpemerson.comTwitter: @The_jpemersonemail: jp@jpemerson.com For more podcasts on cars check out Ford Mustang The Early Years Podcast at www.TheMustangPodcast.com or at Apple Podcasts or anywhere you get your podcasts For more information about sponsorship or advertising on The JP Emerson Show or podcast launch services contact Doug Sandler at doug@turnkeypodcast.com or visitwww.turnkeypodcast.com
Hey! Believe it or not, Jason and Irvin are back for “Round 2” for their new podcast! This time it's a solo episode where Jason and Irvin talk about a subject that many can relate to and share personal stories that have shaped them in some way or form. This week they reminisce about the neighborhoods they grew up in as kids and how they've molded them to who they are today. From Jason feeling like a tourist in his own backyard back in Cancun, to Irvin getting bullied because of his shoes in Texas, this episode is filled with laughs and advice on how to be the "cool kid" as an adult wherever you go (as well as how to get the best tomatoes whenever you're in the “ghetto”!!!). Tune in! Follow the pod's IG PAGE! IT HELPS: @usagainsttheworldpodcast - Find us in the streets: Irvin: @irvin5waves - Jason: @jayalltheway90
BLESSED LUNASA! Aaaannnd HAPPY BIRTHDAY TO JASON AUGUSTUS NEWCOMB -- a gem in the occult world and someone I consider the kind of representative we should all strive to be in the magical world. From Jason to you all, https://coursecraft.net/users/4GM Code: JASONBDAY2020 Gives you 80% off on both sites courses -- I did the enochian one and highly recommend it -- unless you are going through a GD Order you could do it anytime especially as Aaron Leitch covers the pure traditional Enochian System which can be done without going through the GD initiations essential to the GD (Inner Order) version of the Enochian System...and the techniques to help those weak at scrying are great, especially the pdf that comes with it. jasonagustusnewcomb.com NewHermetics.com Subscribe to his email list for additional such specials. --- Send in a voice message: https://anchor.fm/magick/message Support this podcast at — https://redcircle.com/magick-without-fears-frater-r-c-hermetic-podcast/exclusive-content Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy
Michelle and Emily welcome the famous Jason from the Wine Merchant to the podcast. They recorded the episode in the beginning of June when the George Floyd protests were just beginning. Their conversation goes from Jason's history as a high school dropout, how the Corona virus would kill him if he would catch it, and how he finally caught the attention of his amazing wife. The episode is longer than normal but the fascinating conversation with Jason about his passion for wine, for his community, and for helping the foster community will make it feel like it flew by. From Jason: "What is a Man? Is it the number in the bank account? ... Biggest part of being a dad is being there. Just be there. Show Up." http://winemerchantltd.com Thank you for listening and subscribing to Cliterally Speaking the Podcast. Visit our website: www.cliterallyspeakingpodcast.com Facebook: @cspeakpodcast Instagram: @cliterallyspeakingthepodcast Twitter: @cliterallyspea1 Please call our comment line: 812-727-0794 Watch our youtube channel (Cliterally Speaking the Podcast) for all the behind the scenes discussions during our recording sessions. Be on the lookout for the launch of our live-streaming channel on Twitch, CliterallySpeakingPodTV. Our patreon site is up - visit it here - http://bit.ly/32uOnVT
In case you missed it...I chat with Jason Theobald from Scooby Prep and Natty Nutrition about the proper diet for your body type. Also, how your body type plays a role in your exercise routine and the correct supplements to take. Find Jason here: http://www.scoobyprep.com/ https://www.nattynutrition.com/ From Jason's website: Jason Theobald is an IFBB Pro Classic Physique competitor having placed top three at the JR National level and won the Overall Mens 35+ Classic Physique title at the NPC Master's Nationals. He has become a sought after contest prep coach due to his hands on approach, top level customer service and the conditioning his athletes exhibit at their shows. Jason is versed in all things contest preparation from supplementation, cardio, training, to the most important: the proper nutritional plan for YOU. Jason has helped turn athletes pro in the NPC, OCB, INBF, and the NGA to name a few organizations. We invite you to peruse the site, check out the About Us tab and read over some testimonials. If you have further questions email Jason directly at Jason@scoobyprep.com. Find me on Instagram: https://www.instagram.com/youcanpoundthis/ Facebook: https://www.facebook.com/AmandaValentineBites Website: http://amandavalentinebites.com/
How do you respond during embarrassing situations? Jason Wrobel and Whitney Lauritsen talk everything about awkwardness in this episode. With the National Awkward Moments Day, they explain this event’s significance to their lives while sharing some memorable and humiliating scenarios. From Jason walking into the girl’s locker room and waving at the wrong person to Whitney’s talking loudly in a room where everyone quieted down abruptly. With all these moments, awkwardness and discomfort can be great life lessons which promote growth. Love the show? Subscribe, rate, review, and share! Here’s How » Join the This Might Get Uncomfortable community today: wellevatr.com Wellevatr Facebook Wellevatr Twitter Wellevatr Instagram
How do you respond during embarrassing situations? Jason Wrobel and Whitney Lauritsen talk everything about awkwardness in this episode. With the National Awkward Moments Day, they explain this event’s significance to their lives while sharing some memorable and humiliating scenarios. From Jason walking into the girl’s locker room and waving at the wrong person to […]
Like the Friday the 13th horror-slasher franchise? Well, this Episode is for you! Audrey and John will cut their way through 13 different episodes celebrating and appreciating Jason Voorhees many adventures in killing anyone coming near Crystal Lake, and it’s a big Lake! This week, they are discussing the interesting locations around Crystal Lake and what makes them special. From Jason’s shack to SS Lazarus, Mr. Voorhees gets around so quickly looking for his next victim. Edited by: John Abaya Subscribe to our Youtube Channel Follow us on Twitter @TFAnow or Like us on Facebook. . Subscribe on Spotify here , iTunes here or Google Play here.
I chat with Jason Theobald from Scooby Prep and NuEthix about the the impact hormones have on weight loss, and the leading causes of hormone disfunction. Find Jason here: http://www.scoobyprep.com/ https://nuethix.com/ From Jason's website: Jason Theobald is an IFBB Pro Classic Physique competitor having placed top three at the JR National level and won the Overall Mens 35+ Classic Physique title at the NPC Master's Nationals. He has become a sought after contest prep coach due to his hands on approach, top level customer service and the conditioning his athletes exhibit at their shows. Jason is versed in all things contest preparation from supplementation, cardio, training, to the most important: the proper nutritional plan for YOU. Jason has helped turn athletes pro in the NPC, OCB, INBF, and the NGA to name a few organizations. We invite you to peruse the site, check out the About Us tab and read over some testimonials. If you have further questions email Jason directly at Jason@scoobyprep.com.
In case you missed it...I chat with Jason Theobald from Scooby Prep and Natty Nutrition about the proper diet for your body type. Also, how your body type plays a role in your exercise routine and the correct supplements to take. Find Jason here: http://www.scoobyprep.com/ https://www.nattynutrition.com/ Find me on Instagram here: https://www.instagram.com/youcanpoundthis/ From Jason's website: Jason Theobald is an IFBB Pro Classic Physique competitor having placed top three at the JR National level and won the Overall Mens 35+ Classic Physique title at the NPC Master's Nationals. He has become a sought after contest prep coach due to his hands on approach, top level customer service and the conditioning his athletes exhibit at their shows. Jason is versed in all things contest preparation from supplementation, cardio, training, to the most important: the proper nutritional plan for YOU. Jason has helped turn athletes pro in the NPC, OCB, INBF, and the NGA to name a few organizations. We invite you to peruse the site, check out the About Us tab and read over some testimonials. If you have further questions email Jason directly at Jason@scoobyprep.com.
NERD RAGE! Nathan and Brendan welcome back Jason MacLeod on the program for a movie he personally hand-picked in 1999's Wing Commander starring the hottest teen movie stars of the 90s... and Jurgen Prochnow. From Jason's absolute rage at the innacuracy of the film adaptation of the video game to the weird religious aspects of the script to the bewilderment from all three gentlemen in regards to the reveal of the Kilrathi puppets, this episode has it all and then some! Also: listen in for a clue regarding the next great movie that will be covered. Patreon: www.patreon.com/wwttpodcast Facebook: www.facebook.com/wwttpodcast Twitter: www.twitter.com/wwttpodcast Instagram: www.instagram.com/wwttpodcast Theme Song recorded by Taylor Sheasgreen (www.facebook.com/themotorleague) Logo designed by Mariah Lirette (www.instagram.com/mariahhx) Montrose Monkington III: www.twitter.com/montrosethe3rd What Were They Thinking is sponsored by GameItAll.com and Podcoin (use the promo code "WWTTPD" when you sign up to receive 300 BONUS podcoins).
Trainer and nutritionist Jason Theobald and I discuss how to tell if you have a slow metabolism and if your metabolism slows as we age. Find Jason here: http://www.scoobyprep.com/ And on Instagram: https://www.instagram.com/scoobyprep1_ifbbpro/?hl=en From Jason's website: Jason Theobald is an IFBB Pro Classic Physique competitor having placed top three at the JR National level and won the Overall Mens 35+ Classic Physique title at the NPC Master's Nationals. He has become a sought after contest prep coach due to his hands on approach, top level customer service and the conditioning his athletes exhibit at their shows. Jason is versed in all things contest preparation from supplementation, cardio, training, to the most important: the proper nutritional plan for YOU. Jason has helped turn athletes pro in the NPC, OCB, INBF, and the NGA to name a few organizations. We invite you to peruse the site, check out the About Us tab and read over some testimonials. If you have further questions email Jason directly at Jason@scoobyprep.com.
Trainer and nutritionist Jason Theobald and I discuss how you can stay healthy while working odd hours. Find Jason here: http://www.scoobyprep.com/ And on Instagram: https://www.instagram.com/scoobyprep1_ifbbpro/?hl=en From Jason's website: Jason Theobald is an IFBB Pro Classic Physique competitor having placed top three at the JR National level and won the Overall Mens 35+ Classic Physique title at the NPC Master's Nationals. He has become a sought after contest prep coach due to his hands on approach, top level customer service and the conditioning his athletes exhibit at their shows. Jason is versed in all things contest preparation from supplementation, cardio, training, to the most important: the proper nutritional plan for YOU. Jason has helped turn athletes pro in the NPC, OCB, INBF, and the NGA to name a few organizations. We invite you to peruse the site, check out the About Us tab and read over some testimonials. If you have further questions email Jason directly at Jason@scoobyprep.com.
ICYMI - I chat with Jason Theobald from Scooby Prep and Natty Nutrition about the proper diet for your body type. Also, how your body type plays a role in your exercise routine and the correct supplements to take. Find Jason here: http://www.scoobyprep.com/ https://www.nattynutrition.com/ From Jason's website: Jason Theobald is an IFBB Pro Classic Physique competitor having placed top three at the JR National level and won the Overall Mens 35+ Classic Physique title at the NPC Master's Nationals. He has become a sought after contest prep coach due to his hands on approach, top level customer service and the conditioning his athletes exhibit at their shows. Jason is versed in all things contest preparation from supplementation, cardio, training, to the most important: the proper nutritional plan for YOU. Jason has helped turn athletes pro in the NPC, OCB, INBF, and the NGA to name a few organizations. We invite you to peruse the site, check out the About Us tab and read over some testimonials. If you have further questions email Jason directly at Jason@scoobyprep.com.
Author, Jason Reynolds joins Mitchell on this episode of The Literary Life. From Jason's early life as a kid who really did not like to read, to becoming a best-selling author and literary star. An inspiring conversation not to be missed. Recorded at Miami Book Fair 2018. Host: Mitchell Kaplan Showrunner: Carmen Lucas Editor: Andy Stermer Links: https://booksandbooks.com/ https://www.jasonwritesbooks.com/ https://www.simonandschuster.com/authors/Jason-Reynolds/403685768 Learn more about your ad choices. Visit megaphone.fm/adchoices
This week we talk was Halloween, so obviously, we talked about Penises.A whopping 99% of this episode is callbacks to dicks, weiners, doodads, nubbins, chubs, gnarled handlebars, club-slam-whiches, and juicy hogs.We also injected a few extra questions about some of our favorite horror movies, and horror villains of all times. From Jason to Freddy, Victor Crowley to Pinhead, we've got questions about em all!And their dinguses. Music Round: Ces't L'Halloween! HAY! (Spooky songs) Facebook: superfuntimetriviaInstagram: superfuntimetriviaTwitter: @sftimetriviaEmail: superfuntimetrivia@gmail.com Welcome to Super Fun Time Trivia: The known universe's only live improv comedy trivia podcast.
Jason Phillips is leading from the front and striving to create impact each and every day. His unique story of adversity lead him to become the man he is today. From his nutrition coaching company iN3 Nutrition, to creating the Nutritional Coaching Institute (NCI) to train and certify nutrition professionals to mentoring and coaching others to create more impact through their business, Jason is an absolute inspiration.Today we have the honor to be speaking with my good friend and mentor Jason Phillips. We discuss body dysmorphia, and body image issues specifically in men. Jason has overcome the adversity of anorexia, and I have suffered from body image issues from bodybuilding, we aim to show men that this is something that can be talked about and that no, you are not alone. Q & A From Jason’s Instagram at 40:25More from Jason Phillips and iN3 Nutrition:Instagram@jasonphillips_in3 @in3nutrition @nutritionalcoachinginstitutehttps://in3nutrition.com/ Nutritional Coaching Institute The ALLiN3 PodcastThe 2018 L2 Fitness SummitCheck out the 2018 L2 Fitness Summit Sept. 29-30 with Martin McDonald, Eric Helms, Sohee Lee, and Dr. Spencer Nadolsky. For more information visit: www.l2fitnesssummit.comConnect with me on Social Media Instagram: @landonpoburan Website: https://landonp.com/Apply for Online CoachingSubmit a Question
Jason Barnaby - Chief Firestarter and Tribe Leader we discuss the "how to's" of building and tending your tribe. Jason puts structure to this tribe thingin a meaningful practical way! From Jason's almost released first book are these 3 key ideas: Find Your Fire Fan Your Flame Tend Your Tribe We're built for connection, real connection, not the counterfeit connection of social media. Doing life on your own is just too hard. Your tribe isn't just a group of friends, it's a group you've carefully and intentionally assembled. Join Jason's Tribe and get the full tribal inventory. Listener Dreamer Devil's Advocate Organizer Catalyst Connector Expert Hire Jason for your next keynote or meeting or just check out his amazing resources! Follow Firestarters on FB and IG Jennifer Robbins - Ignite Development ________________________________________________ Reflection and Connection 1. What if you chose your friends/tribe as carefully as you chose a spouse or a date? 2. Who needs fired from your tribe? ______________________________________________________ Follow the Badass Womens Council on Instagram! #badasswomenscouncil I would love to discuss keynote speaking opportunities, coaching or consulting for your business! HMU Music Cred: Cameron Fleetwood Hession
I chat with Jason Theobald from Scooby Prep and Natty Nutrition about the proper diet and exercise to lose belly fat. Also what exercises need to be done to get that "Instagram" booty. Find Jason here: http://www.scoobyprep.com/ https://www.nattynutrition.com/ From Jason's website: Jason Theobald is an IFBB Pro Classic Physique competitor having placed top three at the JR National level and won the Overall Mens 35+ Classic Physique title at the NPC Master's Nationals. He has become a sought after contest prep coach due to his hands on approach, top level customer service and the conditioning his athletes exhibit at their shows. Jason is versed in all things contest preparation from supplementation, cardio, training, to the most important: the proper nutritional plan for YOU. Jason has helped turn athletes pro in the NPC, OCB, INBF, and the NGA to name a few organizations. We invite you to peruse the site, check out the About Us tab and read over some testimonials. If you have further questions email Jason directly at Jason@scoobyprep.com.
This is our first-ever live podcast recording! From Jason's training in San Francisco at Love Story Yoga, we dig deep into how yoga teachers can serve their students better through offering hands-on, or manual, adjustments.We talk about:* The value of hands-on adjustments in yoga postures for students, and which students might benefit most. * Why Jason feels there should be a paradigm shift in the way teachers deliver manual adjustments and what that shift should be.* Ways to approach adjusting super flexible students, tighter students, and those middle-of-the-road students + why it's important to give them all equal attention in class.* Practical advice teachers can implement right now to offer safer, more skillful adjustments that informs their experience of the posture.Shownotes: yogalandpodcast.com/podcast/episode94SHOUTOUT TO OUR SPONSORS1. Mahabis sell incredibly comfortable, Scandinavian-inspired slippers with unique detachable soles. The detachable soles clip on and off easily, so you can even wear your slippers outdoors, or to and from your yoga class! Head to mahabis.com to buy your pair today. Use code YOGALAND for 10% off and free shipping worldwide.2. RxBar are protein bars made from 100% whole foods. That means RxBars do not contain artificial flavors, colors, preservatives or fillers. They also do not contain added sugar. They’re also delicious! For 25% off your first order, visit RXBAR.com/yogaland and enter the promo code YOGALAND at checkout.3. Freshly is the easiest and most convenient way to eat healthy no matter what life throws your way. Freshly’s chef create delicious gluten-free meals delivered fresh to your door. Every single meal comes with a detailed overview of each ingredient in the meal. Get $25 off your first order of 6 fresh-cooked dinners by going to freshly.com/yogaland4. To my women listeners out there – have you tried Lola yet? LOLA is a female-founded company offering organic cotton tampons, pads, and liners. For 40% off your first order, visit mylola.com and enter the code YOGALAND40 when you subscribe. See acast.com/privacy for privacy and opt-out information.
I chat with Jason Theobald from Scooby Prep and Natty Nutrition about the proper diet for your body type. Also, how your body type plays a role in your exercise routine and the correct supplements to take. Find Jason here: http://www.scoobyprep.com/ https://www.nattynutrition.com/ From Jason's website: Jason Theobald is an IFBB Pro Classic Physique competitor having placed top three at the JR National level and won the Overall Mens 35+ Classic Physique title at the NPC Master's Nationals. He has become a sought after contest prep coach due to his hands on approach, top level customer service and the conditioning his athletes exhibit at their shows. Jason is versed in all things contest preparation from supplementation, cardio, training, to the most important: the proper nutritional plan for YOU. Jason has helped turn athletes pro in the NPC, OCB, INBF, and the NGA to name a few organizations. We invite you to peruse the site, check out the About Us tab and read over some testimonials. If you have further questions email Jason directly at Jason@scoobyprep.com.
This episode didn’t start out to be a little collection of the Wits talking about stupid things they’ve done int he past, but you’ll be glad that it ended up going that way! From Jason’s story of taking a dump in a display toilet to Bob’s almost killing himself on a high dive to impress an ex-girlfriend, these little stories ... Read More
Welcome to Blackbird9's Breakfast Club's Wednesday Podcast Mind Your Ps And Qs. Tonight we will discuss the history of Money Theory.https://www.blackbird9tradingposts.org/2017/04/26/mind-your-ps-and-qs-blackbird9-podcast/In the First Hour Host Frederick C. Blackburn will cover the recent chaotic events brought on by the teachings of the Frankfurt School Marxists. Their mission: establish a Greater Israel ruled by Globalism under the direction of Talmudic Noahide Law and at the same time force all other nations to surrender their independent sovereignty.In the Second Hour, the host looks at the history of Money Theory and how this simple tool developed and became weaponized via the mathematical manipulations of interest, compound interest, and derivatives. From Jason and The Argonauts' quest for the Golden Fleece to modern computer Artificial Intelligence based Hedge Funds, the host will show how money manipulation has become one of the most powerful weapons of war and enslavement.
Welcome to Blackbird9's Breakfast Club's Wednesday Podcast Mind Your Ps And Qs. Tonight we will discuss the history of Money Theory.https://www.blackbird9tradingposts.org/2017/04/26/mind-your-ps-and-qs-blackbird9-podcast/In the First Hour Host Frederick C. Blackburn will cover the recent chaotic events brought on by the teachings of the Frankfurt School Marxists. Their mission: establish a Greater Israel ruled by Globalism under the direction of Talmudic Noahide Law and at the same time force all other nations to surrender their independent sovereignty.In the Second Hour, the host looks at the history of Money Theory and how this simple tool developed and became weaponized via the mathematical manipulations of interest, compound interest, and derivatives. From Jason and The Argonauts' quest for the Golden Fleece to modern computer Artificial Intelligence based Hedge Funds, the host will show how money manipulation has become one of the most powerful weapons of war and enslavement.
This is a replay of the live broadcast with Dave Jackson, Win Kelly Charles, Jason Bryant, Jim Collison, Emmanuelle Leneuf, Bill Conrad (Wizard), Wes Warren, and Allan Newsome Dave Jackson from the School of Podcasting and Jim Collison from the Average Guy.tv answer your podcast questions. Welcome to bring your cat to podcast day! Backing Up Your Files 2:00 A New Year is a Good Time to check Your Back Ups, Batteries, Virus Programs Etc. Dave uses Backblaze for his computer files, and backs up his podcast files to Dropbox. Jim uses Crash Plan. Dave uses Backup Creator to backup his Wordpress. Squarespace RSS Feeds Still a Little Wonky 7:30 Dave's play a clip from the Podcaster's Roundtable show that talks about RSS Feed. Some people are still using Squarespace that come in and out. The jury appears to be out on Squarespace. Relocating Your Blog Talk Radio RSS feed 9:50 Jay at Blog talk Radio says that YES if you ask they will redirect your feed. Podcasting With Blab 13:05 How do you teach your audience to get them into Blab. You can make some directions and put it on a page on your site. Take some screenshots. Screencast-o-matic is a free tool to help you make a tutorial. Alan from the 2 chairs no waiting podcast was having a problem getting his audience into a blab. Most of his audience just watched. Blab Tip:If you highlight text in the chat room the chat room will quit scrolling The Weirdos on Live Systems 21:05 Jim talks about someone on Blab who decided to stick the camera down his pants. This is hard as there is no control for this, and you have to just move on, and try not to let it throw you. We talk about this a bit, but realize this is the exception (not the norm). You don't have to really worry about it, but you do need to be prepared to just cut the person off, and move on. Dave shares a story about someone having a heart attack while he was teaching one day. 24:45 to Ban someone from your blab, you can click on the person's name and click on the "!" to ban them. This does not delete all their old chat messages. If you are talking Religion, Politics, or Abortion, get ready for your blab session to melt into a ball of hate and opinions. If you are going to be doing a blab for your job or business, you need to realize this is a possibility (so just have your finger on the button) Microphone Stands 32:48 A Microphone Boom Arm typically clams to the desk. You might want to pout some foam or rubber on the desk to ensure it doesn't get scratched. Intros and Bumper Music Bad? 36:40 I don't think music is good or bad. I think we are conditioned to hear it. It can bring up emotions, and set the tone. You might check out Audio Jungle for inexpensive music. For a full production check out Music Radio Creative. Year End Stats? Good or Bad? 39:20 Dave did an episode that explained all the different things you can check to see what is or is not working. Dave has a spreadsheet that totals the last four weeks of his shows. His show is up over last year. When you get between 750 - 1500 downloads you have a nice small audience that can be super engaged. When its gets too big you do have trolls. Numbers Around Christmas Up or Down 43;25 For me the numbers went down a little bit. From Jason of www.mattalkonline.com We talk about different strategies to pick apart your stats. How Does Jason Create 12 Shows? 54:15 They are NOT daily shows, and they are well planned out ahead of time.
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