Podcasts about websites

There exists online a community of websites and users who encourage, pay and teach each other in how to drug and sexually abuse women. Robert explores the case of one particular website, Coco, in France, along with in one specific offender, Dominique Pelicot.See omnystudio.com/listener for privacy information.

This week's WeatherBrains episode is all about hydroplaning and why it happens. Guest WeatherBrain for tonight's episode is the Assistant Director of the Vision of Maintenance for the Kentucky Transportation Cabinet.  Discussing a national hydroplaning project with the panel in the episode, she has over two decades experience in transportation and is a friend of the field.  Randi Feltner, thanks for joining us! Joining us as Second Guest WeatherBrain is very special guest Zion Powell.  He's pursuing his dream to become a meteorologist with an emphasis on mesoscale weather events.  He's currently a senior at Salisbury State in Maryland majoring in meteorology and geoscience.  He was selected as a NOAA Lapenta Intern for 2025 in Louisville, Kentucky where he worked on a national hydroplaning campaign.  Zion, welcome! We are excited to have Guest WeatherBrain and WeatherBrains veteran Alan Sealls joining us tonight.  A 16-time Regional Emmy Winner, he's now the president of the American Meteorological Society and has had a legendary career in the field.  He earned his degree in meteorology at Cornell and earned a Master's Degree at Florida State University.  He is a professor at the University of South Alabama.  Alan, welcome back! Our email officer Jen is continuing to handle the incoming messages from our listeners. Reach us here: email@weatherbrains.com. Tropical Storm Eduard forms in the Gulf (01:00) Record heat for Alabama football's home opener?  (02:30) Zion's early background in weather (09:30) All about Salisbury State's Atmospheric Science program (11:00) What is the William M. Lapenta Scholarship? (12:00) Randi's early background and path to second in command at KDOT (13:30) Experiences during 2021 Mayfield, KY tornado (19:00) "Wet Lanes, Don't Hydroplane" (24:00) Role of tire pressure and speed in hydroplaning (26:00) Complicated nature of getting national hydroplaning statistics (47:00) What is spectrum allocation? (01:02:45) AMS Annual Meeting 2027 in Denver (01:04:00) All about the AMS and its history (01:08:00) The Astronomy Outlook with Tony Rice (01:22:45) This Week in Tornado History With Jen (01:25:00) E-Mail Segment (01:27:00) Sneak peak at future WeatherBrains episodes! (01:34:00) and more! Web Sites from Episode 1076:   2027 AMS Annual Meeting Alabama Weather Network Picks of the Week: Zion Powell - Zion Powell on Instragram Zion Powell - Zion Powell on TikTok Randi Feltner - Kentucky Transportation Cabinet Alan Sealls - National Severe Weather Archive Display James Aydelott - Tulsa Hits 102F Jen Narramore - Out Rick Smith - Out Troy Kimmel - NOAA boosts weather data collection capabilities with new Mesonet contract Kim Klockow-McClain - Principal Saved 900 Students Before His School Was Washed Away in Nepal John Gordon - Monstrous Flash Flood & Debris Flow l Johnson Canyon, UT 7/16/2018 Bill Murray - Out James Spann - Basics of the Arizona Monsoon and Desert Meteorology The WeatherBrains crew includes your host, James Spann, plus other notable geeks like Troy Kimmel, Bill Murray, Rick Smith, James Aydelott, Jen Narramore, John Gordon, and Dr. Kim Klockow-McClain. They bring together a wealth of weather knowledge and experience for another fascinating podcast about weather.

Dr. Michael Glock spent seventy years earning the right to say something simple. Twenty-eight startups. Two marriages. A doctorate in depth psychology. Talks at Yale, Princeton, and the University of London. And the thing he keeps coming back to with clients is not a strategy. It's a sentence a client said to him days before this recording: standing on a beautiful plot of land, deciding what to build next.   Most people chasing the next milestone assume it will finally quiet a low-grade unease they stopped noticing years ago, because it's been there so long it feels like personality. Glock has spent two decades watching what happens when successful people stop long enough to ask what that unease has actually been trying to tell them.   What was covered: Why Carl Jung's idea that "the dreams are the same, just dreamt in modern dress" shows up in Glock's clients as blocked toilets and flooded basements at the start of the work, and circles and mandalas by the end The four directions of the medicine wheel, and why most high achievers get stuck circling the East (the eagle, the big plan) without ever visiting the West (the bear, reflection) Why "beginner's mind" determines whether transformation is even possible, and why extreme success can make someone harder to reach, not easier The scenario-planning method Glock borrowed from the same research culture that invented modern futurism, now used to build a client's future ten years out and let it pull them forward Why he believes most people don't need a different life, they need a different interpretation of the one they already lived What running a suicide-prevention line in 1970s New Zealand as a teenage immigrant taught him about what people actually need when life ruptures   About Dr. Michael Glock: Dr. Michael Glock is a philosopher, futurist, hypnotherapist, and co-founder of Joymind, one of the largest hypnotherapy platforms in America. Trained in Jungian and depth psychology at Pacifica Graduate Institute, he developed Hermeneutic Hypnosis, an emerging framework blending hypnosis, neuroscience, mythology, symbolic thinking, and storytelling. For more than 20 years, he has worked with entrepreneurs, executives, creatives, and high performers seeking transformation beneath outward success. His work focuses on how unconscious narratives shape anxiety, trauma, burnout, identity, and human behavior — and how altered states and imagination can help rewrite those patterns. He is the author of Way Ahead: Medicine Stories and publishes widely on Medium.   Links: joymind.com/richersoul    Websites: https://joymind.com/cat/specialists/michael-glock/ https://www.drmichaelglock.com/ LinkedIn: https://www.linkedin.com/in/drmichaelglock/ https://www.linkedin.com/company/joymind-hypnotherapy/ Facebook: https://www.facebook.com/joymindhypnotherapy Instagram: https://www.instagram.com/joymind.hypnotherapy X: https://x.com/DrMichaelGlock YouTube: https://www.youtube.com/@joymind TikTok: https://www.tiktok.com/@joymind.hypnotherapy   Watch the full episode on YouTube: https://www.youtube.com/@richersoul Richer Soul Life Beyond Money. You got rich, now what? Let's talk about your journey to purposeful, intentional, amazing life. Where are you going to go and how are you going to get there? Let's figure that out together. At the core is the financial well being to be able to do what you want, when you want, how you want. It's about personal freedom! Thanks for listening! Show Sponsor: http://profitcomesfirst.com/ Schedule your free no obligation call: https://bookme.name/rockyl/lite/intro appointment 15 minutes If you like the show please leave a review on iTunes: http://bit.do/richersoul https://www.facebook.com/richersoul http://richersoul.com/ rocky@richersoul.com Some music provided by Junan from Junan Podcast

Four hundred episodes. What started with a conversation between Jeff Ott and the late Kim Flottum in Medina, Ohio, has grown into hundreds of conversations about honey bees, beekeeping, research, management, and the people who make up the beekeeping community. For this special 400th episode, Jeff and Becky Masterman are joined around the virtual Beekeeping Today table by three familiar voices: Dr. Jim Tew, Dr. Dewey Caron, and Stephanie Slater. Together, they look back at how the podcast began, what they've learned from years of talking with beekeepers, and why those conversations continue to matter. The discussion also tackles a Hive IQ listener question from a new beekeeper whose first nucleus colony produced more than ten gallons of honey—and who is already thinking about expanding. The group considers how quickly a new beekeeper should grow, the financial and management realities of expansion, and Becky's suggestion that growing by dividing your own successful colonies can provide a natural governor on expansion while skills develop. From there, the conversation ranges from understanding local nectar flows and finding mentors to honey shows, marketing local honey, farmer's markets, and even matching different honeys with cocktails. Most importantly, Episode 400 celebrates the listeners, guests, contributors, and sponsors who have helped Beekeeping Today Podcast reach this milestone. Thank you for coming along for the first 400. On to 500! Websites from the episode and others we recommend: Honey Bee Health Coalition: https://honeybeehealthcoalition.org Project Apis m. (PAm): https://www.projectapism.org The National Honey Board: https://honey.com Honey Bee Obscura Podcast: https://honeybeeobscura.com   Copyright © 2026 by Growing Planet Media, LLC     ______________ Betterbee is the presenting sponsor of Beekeeping Today Podcast. Betterbee's mission is to support every beekeeper with excellent customer service, continued education and quality equipment. From their colorful and informative catalog to their support of beekeeper educational activities, including this podcast series, Betterbee truly is Beekeepers Serving Beekeepers. See for yourself at www.betterbee.com This episode is brought to you by Global Patties! Global offers a variety of standard and custom patties. Visit them today at http://globalpatties.com and let them know you appreciate them sponsoring this episode!  As a beekeeper, you want products that benefit you and your bees. When you choose Premier Bee Products, you choose hive components that are healthier for bees and more productive for you. Because we believe that in beekeeping, details make all the difference. Premier Bee Products: Better for bees. Better for beekeepers. Use promo code PODCAST for 10% off your next online order. Thanks to Strong Microbials for their support of Beekeeping Today Podcast. Find out more about their line of probiotics in our Season 3, Episode 12 episode and from their website: https://www.strongmicrobials.com HiveIQ is revolutionizing the way beekeepers manage their colonies with innovative, insulated hive systems designed for maximum colony health and efficiency. Their hives maintain stable temperatures year-round, reduce stress on the bees, and are built to last using durable, lightweight materials. Whether you're managing two hives or two hundred, HiveIQ's smart design helps your bees thrive while saving you time and effort. Learn more at HiveIQ.com. We'd like to thank Vita Bee Health for supporting the podcast. Vita provides proven tools for controlling Varroa—from Apistan and Apiguard to the new VarroxSan extended-release oxalic acid strips—helping beekeepers keep stronger, healthier colonies. Thanks for Northern Bee Books for their support. Northern Bee Books is the publisher of bee books available worldwide from their website or from Amazon and bookstores everywhere. They are also the publishers of The Beekeepers Quarterly and Natural Bee Husbandry.   Thanks to Bee Culture, the Magazine of American Beekeeping, for their support of Honey Bee Obscura. Available in print and digital at www.beeculture.com   _______________ We hope you enjoy this podcast and welcome your questions and comments in the show notes of this episode or: questions@beekeepingtodaypodcast.com Thank you for listening!  Podcast music: Be Strong by Young Presidents; Epilogue by Musicalman; Faraday by BeGun; Walking in Paris by Studio Le Bus; A Fresh New Start by Pete Morse; Wedding Day by Boomer; Christmas Avenue by Immersive Music; Red Jack Blues by Daniel Hart; Bolero de la Fontero  by Rimsky Music; Perfect Sky by Graceful Movement; I'm Not Running Away This Time by Max Brodie; Original guitar background instrumental by Jeff Ott. Beekeeping Today Podcast is an audio production of Growing Planet Media, LLC ** As an Amazon Associate, we may earn a commission from qualifying purchases Copyright © 2026 by Growing Planet Media, LLC

INSTAGRAM:   https://www.instagram.com/beardedroman/         WEBSITES:   https://micahchristensen.com/   _______________________________________________________________________       THANKS TO OUR SPONSOR:   HEIN ATELIER https://heinatelier.com   ROSEMARY BRUSHES  https://www.rosemaryandco.com       _________________________________________________________________________       THANK YOU TO ALL OF MY GENEROUS PATRONS!   PLEASE CONSIDER HELPING TO KEEP THIS PODCAST GOING BY BECOMING A MONTHLY PATRON. JUST CLICK THE LINK BELOW.       https://patron.podbean.com/theundrapedartist   _________________________________________________________________________       FOLLOW THE PODCAST ON INSTAGRAM, FACEBOOK AND YOUTUBE:         / theundrapedartist           / 100083157287362            / @theundrapedartist     __________________________________________________________________________       FOLLOW THE HOST, JEFF HEIN:       Jeffhein.com          / jeffrey.hein.16           / jeff_hein_art           / jeff_hein_studio

INSTAGRAM:   https://www.instagram.com/beardedroman/         WEBSITES:   https://micahchristensen.com/   _______________________________________________________________________       THANKS TO OUR SPONSOR:   HEIN ATELIER https://heinatelier.com   ROSEMARY BRUSHES  https://www.rosemaryandco.com       _________________________________________________________________________       THANK YOU TO ALL OF MY GENEROUS PATRONS!   PLEASE CONSIDER HELPING TO KEEP THIS PODCAST GOING BY BECOMING A MONTHLY PATRON. JUST CLICK THE LINK BELOW.       https://patron.podbean.com/theundrapedartist   _________________________________________________________________________       FOLLOW THE PODCAST ON INSTAGRAM, FACEBOOK AND YOUTUBE:         / theundrapedartist           / 100083157287362            / @theundrapedartist     __________________________________________________________________________       FOLLOW THE HOST, JEFF HEIN:       Jeffhein.com          / jeffrey.hein.16           / jeff_hein_art           / jeff_hein_studio

On this episode of CFO at Home, Vince talks with David Kennington, an author with 30+ years experience working as a tradesman, about trades as a viable path to making and building wealth, David explains how credit cards and lifestyle creep can quickly push tradespeople beyond their means, and notes that trades and technical training often include little financial education, making discipline and understanding the psychological side of spending crucial. They also discuss emotional attachments that drive bad financial choices, the role of spouses and clear communication in correcting ·financial misbehavior,· and how overtime or higher-paying jobs can help pay down debt only if intentionally paired with a plan. Learn more about David and his book, Tradies Earn While You Sleep, at tradiesearn.com 02:05 Trades and Money Burnout 02:38 Credit Cards and Discipline 04:26 Lessons From Mentors 10:17 Knowledge vs Psychology 11:53 Emotional Spending Stories 15:03 Couples and Money Talks 19:18 Overtime and Lifestyle Creep 21:51 Boosting Income and Investing 28:05 From Pay to Wealth Podcast 32:20 Websites, Book and Resources 34:54 Final Takeaways  Key Links: Tradies Earn https://www.linkedin.com/in/david-kennington-b6735340/ https://substack.com/@tradiemoney Contact the Host - vince@thecfoathome.com Want to be a guest on CFO at Home? Send Vince a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/1628643039567x840793309030672500

To have your question featured in a future video, please visit: DrMorses.TV/ask Buy herbs: https://jo.my/handcrafted-formulas Getting Started Guide: https://jo.my/start-here-hbf

Remember when the internet was fun?Not useful. Not safe. Definitely not well designed. But fun.We kick things off with the absolutely bonkers financial numbers coming out of OnlyFans, including the reported $30 billion paid to creators since launch and $6.3 billion paid out in 2025 alone. Sounds like everybody should immediately quit their jobs, right?Well, maybe hang onto that health insurance.The show crunches another number: out of roughly 5 million registered creator accounts, only 5,076 have earned more than $1 million on the platform. Suddenly the “easy money” plan starts looking suspiciously like every other entertainment career.Naturally, this becomes a discussion about celebrity OnlyFans accounts, what exactly people are paying for, whether there's a male market for the platform, and the apparently untapped economic potential of vacuuming your house without a shirt on.Business school, but worse.Then the funny podcast nostalgia machine kicks into gear as Riz asks everybody to remember the websites and apps from the early days of the internet.MySpace. Napster. GeoCities. eBaum's World. ICQ. Strong Bad. Fark. The Chive. Chatroulette.Especially Chatroulette.Rafe perfectly describes the difference between Russian roulette and Chatroulette: Russian roulette gives you one bad chamber out of six. Chatroulette basically reversed those odds.The crew remembers AOL chat rooms, asking strangers “ASL?”, making actual friends online before anybody's parents understood what was happening, and the glorious period when the internet felt like a collection of weird little neighborhoods instead of six giant companies demanding that you accept cookies.Moon also takes us back to mp3.com and the early days of the internet changing the music business. Story of the Year's “Until the Day I Die” actually reached the top of the site's download rankings, beating massive songs from artists including Nelly, Eminem and Evanescence right before mp3.com disappeared.So technically Moon retired as champion.Please respect the belt.The nostalgia continues when the crew gets into Sony and PlayStation reminding consumers that digitally purchased games are licensed rather than truly owned. That means no physical copy sitting on the shelf, no lending your game to a buddy, no selling it later and fewer weird little pieces of physical media surviving long enough to show up in an antique shop 40 years from now.Which somehow leads directly into vintage Playboy magazines.Obviously.Rafe and Riz remember the old-school barbershops where guys sat around, dirty jokes flew freely, every haircut was basically the same haircut, everything smelled like Barbicide and there might just be a Playboy sitting in the waiting area.Rafe remembers the legendary six-dollar haircut at Tally's Barbershop in Du Quoin, Illinois, while the crew tries to determine whether “barbicide” sounds more like disinfectant or a felony committed against someone's hair.This funny podcast then shifts into Crap on Celebrities, where the crew covers Kiss selling its brand rights, developments surrounding the Tupac murder trial, Taylor Momsen joining surviving members of Soundgarden for an NFL halftime performance, upcoming comedy documentaries, Glenn Close defending Kim Kardashian, and the planned return of the Donnie Darko universe.That's also where Riz finally confesses something:He has never seen Donnie Darko.He has, however, apparently spent years pretending he has.Honestly, knowing there's a creepy bunny and an airplane engine is probably enough to fake your way through 80% of conversations about that movie.The entertainment rundown also includes Ryan Gosling producing a new live-action Flintstones project before Lern closes things out with a tribute to Dolly Parton—remembering her humor, philanthropy, Imagination Library, enormous generosity and ability to take criticism without ever losing sight of exactly who she was.And then comes the announcement Moon has been sitting on for years.Greek Fire is returning to the stage.Moon announces a headline show at Delmar Hall on Saturday, October 17—the band's first headline show in seven years. They'll play new material ahead of a larger release planned for next year, with Native Monster joining them and a portion of every ticket sold supporting Cardinal Glennon Children's Hospital as part of the Rizz Show October fundraiser.Moon promises full-blown rock theater.Riz promises “hardness.”We were extremely close to ending this episode professionally.So there it is: OnlyFans economics, dead websites, sketchy chat rooms, mp3.com glory, digital ownership, vintage Playboys, barbershop jokes, entertainment gossip, Dolly Parton and Greek Fire finally returning.Another funny podcast that started with financial analysis and ended with Riz discussing hardness.Harvard Business Review could never.Follow The Rizzuto Show → linktr.ee/rizzshow for more from your favorite daily comedy show.Connect with The Rizzuto Show Comedy Podcast online → 1057thepoint.com/RizzShow.Hear The Rizz Show daily on the radio at 105.7 The Point | Hubbard Radio in St. Louis, MO.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Link Up w/The Morning Sickness Digitally All Over:Instagram: @hms_98_official, @bosskupd, @bretvesely, @dickToledoX/Twitter: @HMSon98, @DickToledo, @bretveselyFacebook: @HMSKUPDYouTube: @hmspodcast9320, @98kupdRequest/Call in/Wakeup Song line:(IN AZ) 602.585.9800More HMS: www.holmbergpodcast.com, www.98kupd.comEmail: dtoledo@98kupd.com, bvesely@98kupd.com, bbogen@98kupd.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Narcissism, Cult Recovery, Spiritual Awakening, and DiscernmentMark Vicente is an author, speaker, and award-winning Writer/Director/Producer from Johannesburg, South Africa. Taking his first photograph at age four, he worked his way up through the ranks of the camera department, shooting a number of anti-apartheid films in the 1980s before relocating to Hollywood.Because of the atrocities in his native South Africa, he found himself propelled to question fundamental assumptions at a young age: beliefs about human behavior, morality, cosmology, existentialism and mysticism. Unifying his love of science, philosophy and filmmaking, his dream of creating cinema to inspire and provoke thought emerged with the creation of “What the BLEEP Do We Know?!” Later, deeply moved by the violence consuming Mexico, Mark released “Encender el Corazon,” a film about the kidnapping epidemic there and one community's courage in standing up to the cartels. It was a bittersweet victory. While the film touched many people deeply, it was by association supporting the criminal enterprise NXIVM. Mark made the difficult decision to pull the film from distribution and, with a small band of whistleblowers, exposed NXIVM's criminal behavior, resulting in multiple arrests and prosecutions. This journey is captured in the HBO Documentary Series “The Vow.”He has since developed a passionate interest in exposing the coercive, duplicitous environments of high-control groups. His feature documentary “Narcissists' Playbook,” examining malignant narcissism through self-confessed, self-aware narcissists, juxtaposed with testimony from victims, survivors, scientists, and mental health professionals, has now been released. He is also developing “Inst@Guru,” a series examining the rise of predatory self-help culture in the social media age, centered on Dutch social media guru Bentinho Massaro.Websites:markvicente.comNarcissist's PlaybookBonnie Piesse is an Australian/American actress, singer-songwriter and soul alignment and manifestation coach. She's best known for her roles in Star Wars: Attack of the Clones, Revenge of the Sith, and Obi-Wan Kenobi, and was recently seen in My Favorite Girlfriend alongside Tyler Johnson and Michael Nouri. As a singer-songwriter, her music has been featured in film and TV including Miss Arizona, HBO's The Vow (in which she was also a subject), and CW's Life Unexpected. Through her business, Your Quantum Life, Bonnie helps soul-led leaders remember who they really are and step into authentic expression and embodiment.Website: bonniepiesse.com

If your business depends on you doing every single task, eventually you become the bottleneck. In this episode, Keith shares the lesson that completely changed how he approached leadership, delegation, and running a landscaping crew. While working as a foreman for one of the biggest landscaping companies in Michigan, Keith couldn't understand why other crews were outperforming him even though he was working harder than almost everyone else. A conversation with a former Marine Corps sergeant showed him the problem: working harder yourself doesn't necessarily make the entire team more productive. Once Keith learned to properly delegate, distribute responsibility, and focus his energy on higher-value tasks, he quickly became one of the highest-performing foremen in the company. Today, with 18 people working across his businesses, that lesson is more important than ever.   "Keep them busy to free you up to do the higher-level tasks. Your job is to keep the calendar full. Your job is to keep bringing the money in." – Keith Kalfas   What You'll Learn in This Episode: Why working harder than your employees can actually hurt productivity How Keith went from struggling foreman to the highest-producing crew leader Why business owners have to learn to delegate before they can truly grow How to stop believing that nobody can do the work as well as you Why your time is often better spent selling than doing another landscaping task How proper employee training makes delegation easier Why keeping your team busy frees you to focus on higher-level responsibilities The importance of customer communication, referrals, and five-star reviews How recurring maintenance and BAMFAM — Book a Meeting From a Meeting — can strengthen your business Why becoming a better steward of your company sometimes means stepping away from the labor Key Takeaways: Delegation is what unlocks growth. Doing everything yourself may feel productive, but it eventually makes you the bottleneck. Training your team and distributing responsibility lets the whole business perform better. Your highest-value work changes as the business grows. Instead of always grabbing the tools, your time may be better spent selling jobs, following up with leads, talking to customers, generating referrals, and keeping the calendar full. Leadership is about making the whole team productive, not proving how hard you can work. Keith's biggest shift came when he stopped putting all the pressure on himself and learned how to keep everyone accountable, trained, and moving toward the same goal.   Connect with Keith Instagram: https://www.instagram.com/keithkalfas/ Facebook: https://www.facebook.com/thelandscapingemployeetrap Website: https://www.keithkalfas.com/resources Youtube: https://www.youtube.com/@keith-kalfas   Resources and Websites:  4 Steps to Training Employees: https://www.keithkalfas.com/4steps Build Your Site: https://www.keithkalfas.com/ReBolt Call Tracking Software: https://www.keithkalfas.com/CallRail Start Getting Leads Now https://www.footbridgemedia.com/keith The Untrapped Alliance: https://www.keithkalfas.com/alliance Resources You Need To Build A Successful Business https://www.keithkalfas.com/resources

This week's WeatherBrains episode is all about the July 2025 flooding tragedy in Texas. Our Guest WeatherBrain for tonight's episode is Dr. JJ Gourley.  An Oklahoma native, he's a senior research hydrometeorologist at NOAA's National Severe Storms Laboratory.  He manages an interdisciplinary team there that is developing the FLASH product, which is a flash flood forecasting product that Dr. Garley will discuss on this week's episode.  He's won the Department of Commerce's silver medal award, as well as the AMS Journal of Hydrometeorology Editor's Award.  He's also authored over 160 Paraview Journal Articles.  He's even written a radar hydrology textbook!  Welcome to tonight's show, Dr. Gourley! Our Guest Panelist tonight is Dr. Keri K. Stephens from the University of Texas at Austin.   She's the George Christian Centennial Professor.  With over 25 years of interdisciplinary research experience, Dr. Stephens' expertise includes organizational communication, mobile technologies, artificial intelligence (AI), crisis and disaster communication, infrastructure communication, and health communication. In her professional service, Dr. Stephens currently serves on the National Weather Service NOAA Central Texas Integrated Warning Team and on the Executive Advisory Council of the Schreiner University Institute for Hazard Risk and Readiness.  Dr. Stephens, thanks for joining us tonight! Our email officer Jen is continuing to handle the incoming messages from our listeners. Reach us here: email@weatherbrains.com. Oklahoma heat trivia from NWS chat (04:30) Dr. Gourley's hydrometeorology background (9:00) Multi-Radar Multi-Sensor System (MRMS) (13:00) FLASH project (13:30) Meteorological setup leading up to July 2025 Texas floods (17:30) Area creeks around Camp Mystic that became major players (29:00) Process determining approximate lead time before event (34:30) Warn-on-Forecast System (WoFS):  From experimental to operational? (36:30) Combining organizational communication and disaster studies (42:30) Lessons learned about public safety infrastructure in the wake of post-flood hearings (58:00) Protocol for severe/winter weather warnings at campgrounds/RV parks (01:16:30) Turn Around, Don't Drown! (01:29:00) The Astronomy Outlook with Tony Rice (01:38:15) This Week in Tornado History With Jen (01:40:30) E-Mail Segment (01:42:30) Sneak peak at future WeatherBrains episodes! (01:44:00) and more! Web Sites from Episode 1075:   NOAA National Severe Storms Laboratory Alabama Weather Network   Picks of the Week: Dr. JJ Gourley - Watch Duty - Wildfire Maps & Alerts Dr. Keri K. Stephens - Texas Institute for Hazard Risk and Readiness (TIHRR) - Schreiner University James Aydelott - Tornado video in France James Aydelott - Tornado video in France - Secondary Angle James Aydelott - More absurd footage of the tornado in Pomas, France James Aydelott - Exceptional video of the tornado that struck the area around Carcassonne! James Aydelott - Strong tornado in France, north of the Pyrenees Jen Narramore - University Archives and West Florida History Center Rick Smith - IEM (Iowa Environmental Mesonet) Severe Weather Products Troy Kimmel - United States Power Outage Map Kim Klockow-McClain - WoFS-FLASH coupled forecasts for the July 2025 Texas Hill Country Flash Flood Disaster Kim Klockow-McClain - Hydrometeorological Analysis of the July 2025 Texas Hill Country Flash Flood Disaster Kim Klockow-McClain - Indiana Governor Calls for NIPSCO to be Investigated Over Power Outages After Gary Storms John Gordon - Photo from Mike Olbinski: Moonbow Bill Murray - Out James Spann - ENSO: Recent Evolution, Current Status and Predictions The WeatherBrains crew includes your host, James Spann, plus other notable geeks like Troy Kimmel, Bill Murray, Rick Smith, James Aydelott, Jen Narramore, John Gordon, and Dr. Kim Klockow-McClain. They bring together a wealth of weather knowledge and experience for another fascinating podcast about weather.

What will a healthy beekeeping industry look like five or ten years from now—and what needs to change to get us there? Recorded live at the Tri-States and Minnesota Beekeepers meeting in Fargo, Jeff Ott and Becky Masterman moderate a wide-ranging conversation with Randy Oliver of Scientific Beekeeping, Dr. Izzy Hill of Project Apis m., and Dr. Brandon Hopkins of Washington State University about protecting the future of beekeeping. The discussion begins with the economics. Commercial beekeeping has long depended on two major sources of income: honey production and pollination services. But changing almond acreage, pressure on honey prices, rising operating costs, declining forage, and imported honey are forcing beekeepers to adapt. The panel considers what could make a meaningful difference. Randy argues for restoring forage through regenerative agriculture and improving the economics of domestic honey. Izzy sees promise in new honey bee health products and greater cooperation across the industry. Brandon points to the practical realities facing working beekeepers—from land and forage to fuel, labor, and the need to make beekeeping economically attractive to the next generation. The conversation then turns to consumers. How do we communicate that protecting honey bees isn't simply about colony losses? Healthy agricultural soils, diverse forage, accurate honey labeling, and consumer choices all affect the future of beekeeping. Audience questions expand the discussion into regenerative agriculture, bee pasture, youth education, and getting young people excited about working with honey bees. And Randy closes with an important reminder: amid all the talk about Varroa, economics, forage, and regulation, don't forget to tell people why being a beekeeper is joyful. Websites from the episode and others we recommend: Scientific Beekeeping: https://scientificbeekeeping.com Washington State University Bee Lab: https://bees.wsu.edu Honey Bee Health Coalition: https://honeybeehealthcoalition.org Project Apis m. (PAm): https://www.projectapism.org The National Honey Board: https://honey.com Honey Bee Obscura Podcast: https://honeybeeobscura.com   Copyright © 2026 by Growing Planet Media, LLC     ______________ Betterbee is the presenting sponsor of Beekeeping Today Podcast. Betterbee's mission is to support every beekeeper with excellent customer service, continued education and quality equipment. From their colorful and informative catalog to their support of beekeeper educational activities, including this podcast series, Betterbee truly is Beekeepers Serving Beekeepers. See for yourself at www.betterbee.com This episode is brought to you by Global Patties! Global offers a variety of standard and custom patties. Visit them today at http://globalpatties.com and let them know you appreciate them sponsoring this episode!  As a beekeeper, you want products that benefit you and your bees. When you choose Premier Bee Products, you choose hive components that are healthier for bees and more productive for you. Because we believe that in beekeeping, details make all the difference. Premier Bee Products: Better for bees. Better for beekeepers. Use promo code PODCAST for 10% off your next online order. Thanks to Strong Microbials for their support of Beekeeping Today Podcast. Find out more about their line of probiotics in our Season 3, Episode 12 episode and from their website: https://www.strongmicrobials.com HiveIQ is revolutionizing the way beekeepers manage their colonies with innovative, insulated hive systems designed for maximum colony health and efficiency. Their hives maintain stable temperatures year-round, reduce stress on the bees, and are built to last using durable, lightweight materials. Whether you're managing two hives or two hundred, HiveIQ's smart design helps your bees thrive while saving you time and effort. Learn more at HiveIQ.com. We'd like to thank Vita Bee Health for supporting the podcast. Vita provides proven tools for controlling Varroa—from Apistan and Apiguard to the new VarroxSan extended-release oxalic acid strips—helping beekeepers keep stronger, healthier colonies. Thanks for Northern Bee Books for their support. Northern Bee Books is the publisher of bee books available worldwide from their website or from Amazon and bookstores everywhere. They are also the publishers of The Beekeepers Quarterly and Natural Bee Husbandry. _______________ We hope you enjoy this podcast and welcome your questions and comments in the show notes of this episode or: questions@beekeepingtodaypodcast.com Thank you for listening!  Podcast music: Be Strong by Young Presidents; Epilogue by Musicalman; Faraday by BeGun; Walking in Paris by Studio Le Bus; A Fresh New Start by Pete Morse; Wedding Day by Boomer; Christmas Avenue by Immersive Music; Red Jack Blues by Daniel Hart; Bolero de la Fontero  by Rimsky Music; Perfect Sky by Graceful Movement; I'm Not Running Away This Time by Max Brodie; Original guitar background instrumental by Jeff Ott. Beekeeping Today Podcast is an audio production of Growing Planet Media, LLC ** As an Amazon Associate, we may earn a commission from qualifying purchases Copyright © 2026 by Growing Planet Media, LLC

In this episode of The Modern Hairstylist Podcast, Hunter Donia and Jodie Brown get into a topic Hunter has been teaching and refining with his Mastermind and Modern Stylist Movement members for the past year: what has actually changed when it comes to building, optimizing, and maintaining a website as a hairstylist right now, and why what worked a few years ago is no longer enough.Hunter is honest that he hates building websites just as much as you do. But he is equally clear that if you want to attract high ticket clients and charge high ticket prices, your website has to look and perform the part. This episode covers exactly what that means in today's landscape.Key Takeaways:

When the kids need everything, there is often very little left over for the marriage, and yet if our family is going to make it, fighting for it is your work to do. To this end, Christa welcomes Abbey Howe, theater graduate, beloved Enneagram voice, and the mind behind memes that have made so many of us laugh and feel seen on IG and YouTube, for a real talk about marriage in the thick of the parenting years. Abbey is living this season herself, adjusting to the genuine demands of raising a little one, and she brings both honesty and hope to this convo in her 3-4 pairing. The research is clear that marital satisfaction often dips when children are young, with less time, less sleep, and less connection to go around, and yet the couples who stay intentional come through these years with a bond that grows deeper, not weaker. Together, Christa and Abbey talk about what a spouse can and cannot carry in this season, why a parent has to tend our own self-care rather than wait for the marriage to refill us completely, and how learning to play again, to laugh and lighten up, can bring life back to both a weary parent and a tired marriage. If you are deep in the parenting years or want to remember how to bless someone in this season as you offer wisdom, this one will meet you right where you are! Watch on YouTube, too! Abbey's Team Workshops and Websites! https://abbeyhowe.com/ Abbey's book is here! https://www.amazon.com/dp/1632175681?lv=shuf&channelId=500&plpRedirect=mhFallback Follow Abbey Howe's wildly popular YouTube here! https://www.youtube.com/abbeyhowe Find Abbey on Instagram: https://www.instagram.com/enneagramwithabbey/?hl=en ⁠Get inside the Enneagram and Marriage Coaching and Masterclass classroom here⁠⁠⁠!⁠⁠ https://www.enneagramandmarriage.com/the-e-m-coaching-masterclass Use the code COACH for $250 off - or - use a payment plan!! Find more about your type, the pod, freebies, and SO much more at our website right here! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.EnneagramandMarriage.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Take the E + M Quiz at www.QuizforCouples.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Love what you're learning on E + M? Make sure you leave us a podcast review so others can find us, too⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ here! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Get Christa's Best-Selling Book, The Enneagram in Marriage, here! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://a.co/d/df8SxVx Learn more about your ad choices. Visit podcastchoices.com/adchoices

Sound of Freedom primary investor and executive producer, Paul Hutchinson joins Matt Cox to break down the dark power games behind the Diddy scandal and why Epstein was just the tip of the iceberg. From CIA blackmail to elite manipulation, Paul shares what really goes on behind closed doors—and why he risked everything to expose it.⁣ ⁣ Paul's links⁣ Websites: https://www.paulhutchinsonofficial.com⁣ https://www.soundoffreedombook.com/free-chapters⁣ https://liberating-humanity.com⁣ https://childliberation.org⁣ https://youtube.com/@Liberatinghumanity?si=LoaiXGaIXbkZNRHH⁣ ⁣ Get 50% sitewide for a limited time. Just visit https://GhostBed.com/cox and use code COX at checkout.⁣ ⁣ ⁣ Do you want to be a guest? Fill out the form https://forms.gle/5H7FnhvMHKtUnq7k7⁣ ⁣ Send me an email here: insidetruecrime@gmail.com⁣ ⁣ Do you want extra clips and behind the scenes content?⁣ Subscribe to my Patreon: https://patreon.com/InsideTrueCrime ⁣ ⁣ ⁣ Follow me on all socials!⁣ Instagram: https://www.instagram.com/insidetruecrime/⁣ TikTok: https://www.tiktok.com/@matthewcoxtruecrime⁣ ⁣ ⁣ Do you want a custom painting done by me? Check out my Etsy Store: https://www.etsy.com/shop/coxpopart⁣ ⁣ Listen to my True Crime Podcasts anywhere: https://anchor.fm/mattcox ⁣ ⁣ Check out my true crime books! ⁣ Shark in the Housing Pool: https://www.amazon.com/dp/B0851KBYCF⁣ Bent: https://www.amazon.com/dp/B0BV4GC7TM⁣ It's Insanity: https://www.amazon.com/dp/B08KFYXKK8⁣ Devil Exposed: https://www.amazon.com/dp/B08TH1WT5G⁣ Devil Exposed (The Abridgment): https://www.amazon.com/dp/1070682438⁣ The Program: https://www.amazon.com/dp/B0858W4G3K⁣ Bailout: https://www.barnesandnoble.com/w/bailout-matthew-cox/1142275402⁣ Dude, Where's My Hand-Grenade?: https://www.amazon.com/dp/B0BXNFHBDF/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=1678623676&sr=1-1⁣ ⁣ Checkout my disturbingly twisted satiric novel!⁣ Stranger Danger: https://www.amazon.com/dp/B0BSWQP3WX⁣ ⁣ If you would like to support me directly, I accept donations here:⁣ Paypal: https://www.paypal.me/MattCox69⁣ Cashapp: $coxcon69 Learn more about your ad choices. Visit megaphone.fm/adchoices

Get AudioBooks for Free Best Self-improvement Motivation 6 Types of Websites You Can Create to Make Money Learn 6 profitable website types you can create to make money, including membership sites, and turn your skills into a scalable online income. ⁠We Need Your Love & Support ❤️ ⁠⁠⁠⁠⁠⁠⁠⁠⁠Get 3 Audiobooks Free -

Is your practice website actually helping patients choose you, or is it just a digital brochure listing your services? In this episode, Dr. Lauryn sits down with branding strategist Alexa Torres to unpack what makes a healthcare brand connect, convert, and stand out in 2026. They explore why great marketing starts with making patients feel seen, not simply telling them how qualified you are.Alexa breaks down emotional selling, identifying your primary audience, creating a website that functions like a pre sales conversation, and designing for both quick decision makers and analytical buyers. They also dive into using AI to develop your brand voice, write better content, build websites, and even create an AI twin that helps you show up consistently without constantly being on camera.Key TakeawaysPatients buy outcomes, not services. Effective healthcare marketing speaks to the emotional problem behind what a patient is experiencing so they immediately recognize that your practice understands them.Your website should operate like a sales conversation. Strategic messaging, clear positioning, intentional calls to action, and a series of small “yeses” can pre sell prospective patients before they ever contact your practice.Your personal brand matters, but your patient should remain the focus. Establish your expertise and personality without making the homepage a résumé about your education, credentials, and accomplishments.AI works best when you give it your ideas instead of asking it to invent them. Detailed prompting, voice training, AI assisted website building, and tools like AI twins can make marketing faster while still preserving the perspective that makes your brand unique.Guest BioAlexa Torres is a creative director and branding strategist who has built more than 200 brands and websites since beginning her career in 2009. After shifting her focus exclusively to healthcare in 2016, Alexa and her team have helped more than 100 health entrepreneurs transform their ideas into magnetic brands that attract ideal patients, communicate their value clearly, and inspire action. Through her branding agency, Care Identity, and educational platform, The Clinician's Atelier, she helps healthcare entrepreneurs strengthen their branding, websites, messaging, and marketing while leveraging emerging AI tools to work more efficiently.For ways to work with Alexa, visit The Kliˈnishen's AtelierFollow Alexa on InstagramResources:Find all things Dr. Lauryn B including ways to work with herFollow Dr. Lauryn: Instagram | Facebook | LinkedInFollow She Slays on YouTubeMentioned in this episode:INSiGHT CLAThis episode is brought to you by the INSiGHT scanning system from CLA, the tool that helps chiropractors show patients objective neurological data so the value of care becomes clear, fueling conversion, retention, and growth. She Slays listeners get preferred pricing, affordable financing, and a free Getting Into Scanning guide.CLA (Current)Holistic Marketing HubThis episode is sponsored by Holistic Marketing Hub. Created by marketing strategist Molly Cahill, it's a proven Instagram system with a 500+ caption content library and a step-by-step curriculum that's helped 400+ chiropractors, acupuncturists, and other health pros fill their practices with right-fit patients. Enroll Now!Holistic Marketing HubClinic MindClinic Mind is the all-in-one EHR and practice management platform built for chiropractors — billing, documentation, scheduling, and patient follow-up in one place, whether you run a cash practice, take insurance, or are scaling to multiple locations. She Slays the Day listeners get an exclusive offer.Clinic Mind

Working on Websites, Talking about old iPhone reselling method (David Kosciusko old course info +)My old explainer vid (7 years old):https://youtu.be/k6n0Jamj--g?is=qzVB9jRwPpX7VvaP

Favour Obasi-ike, MBA, MS discussion explored the evolving relationship between SEO and artificial intelligence, stressing that while AI revolutionizes content generation and search, SEO's foundational importance endures. One concept discussed was the need for website structure (schema, sitemaps, quality content) to ensure both human users and AI agents can discover, trust, and transact with a site.Who Is This For?The conversation focused on entrepreneurs, website owners, business leaders (including C-suite/Fortune 500), marketers, and anyone seeking to improve their business's online presence and growth using SEO and commercial keyword strategies. A key theme that emerged was bridging the knowledge gap for those new to digital marketing, whether launching a site from scratch, rescuing one, or scaling brand visibility.Key Moments & TimestampsIntroduction, Part 2 Justification & Audience Engagement: Highlights the need for deeper commercial keyword discussion; encourages live participation 00:00:13.AI vs. SEO: Relationship & Current Landscape: Explores whether AI will replace SEO; demonstrates synergy and need for structure 00:02:42–00:12:24.Website Structure & Longevity: Analogies for domain authority and building strong foundations 00:13:11.Ads vs. SEO Investment: Explains why investing in SEO creates lasting value versus short-term ad spend 00:17:11.WordPress vs. Vibe Coding: Evaluates traditional site-building vs. new AI/code-heavy approaches 00:22:56.Learning & Mastering SEO: Recommendations for ongoing strategies, resources, and communities 00:28:47.User Search Patterns & Keyword Strategy: Examines how users shop online, with a focus on long-tail and local keywords 00:32:22.Sitemaps & Robust Web Presence: How site architecture and multiple pages boost authority 00:40:10.Live Tools & Practical Auditing: Use of isitagentready.com for real-time AI/SEO readiness checks 00:43:28.Commerce, Payments, & Security: Significance of payment protocols and HTTPS for trust 00:44:29.Color, Calls to Action & Conversion Psychology: How interface details impact buying behaviors 00:54:03.Types of Commercial Intent Keywords: Differentiates high vs. low commercial intent; relevance for product, service, and pricing pages 00:59:19.Action-Oriented Keyword Construction: Guidance for structuring keyword phrases to increase conversions 01:04:23.Takeaways & Final Thoughts: Recap and encouragement to test, research, and take control of digital outcomes 01:07:42.Several points were raised, including:Investing in SEO produces compounding, evergreen visibility, unlike fleeting paid ads.Commercial keywords (e.g., “buy now,” “pricing,” “best [product],” “alternatives to”) are essential for conversion-focused pages.Local and long-tail strategies help users “find you” for specific contexts and regions.Security (HTTPS), trust signals, and payment protocols are non-negotiable for commercial viability.Testing and optimizing details—color, CTAs, copy—directly impact sales.FAQsQ: Will AI make SEO obsolete?A: No. AI depends on well-structured SEO content to deliver relevant results. They're complementary, not mutually exclusive 00:04:31.Q: What are commercial keywords?A: Specific search phrases indicating purchase intent (e.g., “buy,” “pricing,” “deal,” “best,” “compare”). Essential for pages targeting buyers 00:52:04.Q: Should I invest in SEO or ads?A: SEO offers sustainable, long-term visibility; ads work immediately but disappear when you stop paying 00:17:11.Q: Are modern coding approaches like vibe coding a good idea?A: New site builders offer fast results, but lack the proven, authority-strengthening foundation of established platforms like WordPress 00:22:56.Q: How do I start learning SEO?A: Combine online courses (Google, podcasts, masterminds) with community interaction and direct experimentation 00:28:47.Action StepsAudit your website with tools like isitagentready.com to gauge AI/SEO readiness 00:43:28.Review your site's structure—ensure schema markup, sitemaps, and multiple relevant pages exist 00:36:01.Identify and implement high-intent commercial keywords on key pages: homepage, product/service, pricing, and demo 00:52:04.Ensure your site is HTTPS-secured and supports modern payment integrations 00:46:07.Test calls-to-action and site colors to optimize conversion rates 00:54:03.Regularly engage in industry communities, podcasts, and training to stay current.Track and measure progress; iterate based on results and user feedback.Ready to Rank? Book Your SEO & Web Dev Services Today

When we first dicsussed the Summer of Simulative AI in 2024 we knew it would be a brief summer, but it has recently come back with a vengeance with SimGym in April and now Simile AI's $2B Series B, backed by GreenOaks and Index Ventures with prominent backers like Fei-Fei Li and Andrej Karpathy, running tens of millions of simulations for Fortune 100 clients like CVS and 85–99% accuracy vs human focus groups. Time to catch up on why this Second Summer of simulation is working!From creating Smallville, the landmark 2023 paper on Generative Agents that showed AI characters could remember, plan, socialize, and develop emergent behaviors, to now building foundation models of human behavior, Joon Sung Park is trying to answer a much bigger question: what if we could simulate the world before making decisions in it? In this episode, the Simile co-founder and CEO joins us to unpack the path from generative agents to digital twins, why today's frontier models still fail to capture how humans actually behave, and what it would take to eventually simulate all 8 billion people on Earth.We go deep on Simile's approach to modeling human behavior: long-form interviews, observational and transaction data, randomized controlled trials, population-level and individual-level models, and post-training on the causal mechanisms behind why people make decisions. Joon explains how his research created digital twins that reproduced human behavior and attitudes 85% as accurately as people reproduced their own responses, why models optimized to be rational can be bad simulations of irrational humans, and why understanding “social physics” may require changing model weights rather than simply prompting frontier LLMs.We also explore the much larger ambition behind simulation: testing products and policies before deploying them, finding counterintuitive paths toward desired outcomes, modeling emergent behavior across entire societies, and potentially tackling problems like climate change, democratic instability, and UBI. Joon reflects on scaling laws for simulation, the economics of data-center-scale simulated worlds, the connection to Thomas Schelling and psychohistory, why simulation is surprisingly similar to painting, and whether we might already be living in one.We discuss:* How Smallville and Generative Agents led to Simile* Why Joon's team asked: “What if we can just recreate the world that we live in?”* Why useful personal agents require deep models of their users* Memory architectures, Markdown files, and the limits of prompting* “Social physics” and behavioral foundation models* Why web data captures what people say more than what they actually do* Interviews, transactions, observational data, and randomized controlled trials* Why predicting the future matters less than understanding how to shape it* How Simile creates representative simulated populations* Simulation versus prediction and the connection to Foundation's psychohistory* How to evaluate simulations instead of simply stacking LLM hallucinations* Creating digital twins of 1,000 real people and reaching 85% behavioral accuracy* Why frontier models can struggle to reproduce real human behavior* Why good simulations need to reproduce human biases and mistakes* Post-training models on randomized controlled trials* Population-level versus individual-level simulation* Scaling laws for human simulation* The long-term ambition to simulate all 8 billion people on Earth* Whether simulations could help solve climate change or detect collapsing democracy* Thomas Schelling and the history of agent-based modeling* Why future simulations could require an entire data center* Multi-agent simulations and what happens when simulated people interact* Replacing expensive human panels with synthetic populations* Why market research is only the starting point for simulation* Why Joon sees simulation as surprisingly similar to painting* Using simulation to study questions like UBI* Whether we are already living in a simulation* Why AGI and simulation may be the twin technologies of advanced civilizationsJoon Sung Park* LinkedIn: https://www.linkedin.com/in/joonspark* X: https://x.com/joon_s_pk* Website: https://www.joonsungpark.com* Simile: https://www.simile.comTimestamps00:00:00 Introduction and Joon's Path from Art to AI00:01:46 Smallville, Generative Agents, and the Origins of Simulation00:05:03 “Let's Just Create a World” and the Future of Personal Agents00:09:53 Social Physics and Behavioral Foundation Models00:14:08 Prediction vs. Simulation: How Do You Shape the Future?00:16:59 How Simile Models Real People and Populations00:25:35 Evaluating Simulations, Digital Twins, and 85% Accuracy00:30:23 Post-Training Models to Reproduce Human Behavior00:40:04 Scaling Laws and Simulating 8 Billion People00:43:10 From Schelling to Society-Scale Agent Simulations00:46:13 The Cost and Economics of Simulating the World00:52:05 Real-World Use Cases, Synthetic Populations, and the Market00:57:27 The Future of Simulation, Painting, and UBI01:04:23 Are We Already Living in a Simulation?01:06:08 Building Simile and HiringTranscriptIntroduction: Joon Sung Park, Simile, and the Story So FarVibhu [00:00:00]: Today, we have Joon in the podcast. Excited to kick this one off. Very exciting company. I wanna kick off and ask you the question, talk us through the story of your life. How have you gotten here?Joon [00:00:13]: Yeah, for sure. I'm really excited to be here. A story of my life. So I was born in Korea, and I lived there for a good 11 years or so of my life, and then my family moved to Boston. So we moved when I was 11, and my parents were doctors, so they were going through their postdoctoral studies. My dad was a surgeon, so he was doing his sabbatical years at the Boston Children's Hospital. So I grew up there, not too close to tech. I was very much a music and artsy, painting kind of guy.Vibhu [00:00:49]: Painting.Joon [00:00:49]: Exactly. I got into painting a little bit later, in high school, but that's what I used to do. And then I grew up mostly in the East Coast after Korea. So I lived a good number of years in New Hampshire, and then I went to college in Pennsylvania. And I got into more of this tech scene, in college. So I was originally trained to be an artist. I thought that would be my professional career. So it wasn't a hobby. It was like, “Hey, let's make a living out of this.” And then gradually, I got really interested in this idea of, hey, the greatest artist often creates their own medium, and the best medium that we had available today was in computation. So I decided to go deeper into that, and one thing led to another, and we can go deeper into this, but I decided that research was something that I gradually got interested in, and here I am.Smallville, Generative Agents, and the 2023 Breakout PaperSwyx [00:01:46]: So there's a lot that you packed into the research components. You had one of the best papers of 2023, which was the generative agents paper, commonly known as the Smallville paper.Swyx [00:01:58]: Feel free to call back to anything else that you mentioned, but most people would have heard of you from this. Do you have any statistics on how many people have, like, read it? arXiv gives you something, right? Some stats.Joon [00:02:10]: Yeah, it's a good question. How many people have read it, I'm not sure.Joon [00:02:14]: I know we do keep track of citations, and they are going up quite fast.Swyx [00:02:23]: Yeah, Google Scholar has 7,200 citations.Vibhu [00:02:25]: I feel like it made a bigger hit than that, and it was a pretty instrumental paper. It got cited so many times.Swyx [00:02:34]: It is frequently the answer when people ask, “What is the best paper you've read recently?” It's this one.Vibhu [00:02:39]: I thought the memory component was pretty underrated. It was a very good early memory system, and one of the biggest papers.Foundation Models and the Search for Killer ApplicationsJoon [00:02:47]: Yeah, so maybe I can talk a little bit about how this particular paper came together. So when I got into research, it was back in 2020 when I started my PhD program at Stanford, and that was the year, when we were about to get GPT-3 to be available. So we already had GPT-2, and you could sense that there was this new class of models that was just becoming available in the market, and the team got very intrigued. And the general consensus was, “Well, is this model going to be useful for anything?” “It's really strange that these models are not trained to do any particular task.” But we decided to take a bet. So a large group of scholars at Stanford, and it was led by one of my co-founders, Percy Liang, and we came togetherSwyx [00:03:35]: Who coined foundation models.Joon [00:03:36]: Who coined the term foundation models. We wrote this paper, where that term came from called Opportunities and Risks of Foundation Models. And during that process, really the thing that I started to think deeply about was, here is a model that is fundamentally new in our ecosystem. The reason why this was new was it wasn't, again, trained to do anything in particular, but its premise was it could do anything and everything. It was like a stem cell, if you were to take a biology analogy. And I got really interested in this idea that, well, if we were to really think about what are the killer applications that this particular technology would enable, what would that be? Many of my colleagues were using this for simple classification, simple generations. Interesting that these models can do that, but from an interaction perspective, not that interesting. We've known how to do that for many decades. And what we came down to was these models are trained on this very broad data from the web, right? So these are human behavioral data. It's social media, Wikipedia, all these data. So if you poke at the right angle, then you could see human behavior that would just pop out that's quite realistic, and we've never seen that before.The Time Machine Game and Recreating the WorldJoon [00:04:45]: So that got us really interested. The exercise that we decided to do, with this particular group of colleagues, Michael Bernstein, Percy Liang, and myself, who ended up becoming my co-founder at Simile, we sat down and we played this game that we call the time machine game.Joon [00:05:03]: Imagine we were to get on a time machine and fast-forward 10 years and look back. What would have been the single application that will have mattered that would be the most interesting and inspiring? And when we thought, “Well, what if we can just recreate the world that we live in?” it's really hard to get more ambitious than that. Like, let's just create a world.Joon [00:05:24]: And that's where we started. And initially, we had this paper that was a precursor to the generative agents paper called Social Simulacra.Swyx [00:05:32]: Before you go further, were there other candidates for the most ambitious thing in the time machine exercise? What was number two or number three?Personal Agents, User Models, and Why Simulation Came FirstJoon [00:05:44]: There is a close second that we were considering, which ended up becoming more of these automation tools, especially the vision around really personalized agents that would do things for you.Swyx [00:05:59]: That's also happening.Joon [00:06:00]: It's also happening. But it was interesting for us, right, in that the reason why, we decided to go with the idea of simulation, one, I was a huge science fiction nerd, and this idea of creating simulation, I was personally really just fascinated. I loved the idea. It's really cool to see, like, a game town like this and just see these agents live in it. But at the same time, my bet was if you were to create a really amazing personal assistant out of this technology, what you need first is an amazing model of your users. So I told a model, “Hey, can you go buy late dinner for me?” And it orders Hawaiian pizza, and I do not like pineapples on my pizza. Then it totally failed. The way for it to not make that mistake is only by having a deep understanding of who I am. And I gave a very simple and dumb example here, but you can imagine how this core understanding of people is instrumental. This is how, if we have our family and closest friends, they have a good mental model of who we are. That's the basis of our social connection. So our bet also was this technology around simulation, creating accurate representation of people ought to precede the more complex agents that would automate the world that we live in. So that was the bet. But that was a very close second, and I'm still very much fascinated by it. I think there's a lot of interesting work that's going around. My hot take here, though, is I don't think we've seen a true personal assistant that's useful, in ways that meet the ambition of that particular line of work. I think there are early applications that are interesting, and if you talk to even ChatGPT nowadays or Claude, they know a lot about us. So a lot of the generation it's doing, I do think it's much more tailored, but I think the ambition is quite large in that field, and I don't think we quite have all the right ingredients just yet.Swyx [00:08:01]: So OpenClaw and these personal agents, what do you want to see from them that they don't currently have?Memory, Markdown, and the Limits of PromptingJoon [00:08:09]: I do think it's slowly getting there, but I do generally want them to have much deeper understanding of the person. Right now, you look at the models. OpenClaw, what it's leveraging is a Markdown file, and I think it's quite clever, right? So if you look at the generative agents paper, this was the same intuition that we had, where initially when we were creating the memory architecture for the generative agents, and, like, this is, like, back in 2022, so we didn't really quite have the idea of even agentive architecture or the term agent. But the intuition that we shared with some of the work that's coming out today was we initially thought, “Well, do we want to make the memory into, let's say, knowledge graph? Do we want to train a bespoke model?” All of these things. And what we decided to do was, “No. Just forget about all this.” These language models are quite good at modeling text and understanding and reasoning about text. So just put everything in a Markdown file or a text file. You're done. I thought that was quite interesting that we could do that, and there's a lot of strength in doing that. But also, there are limitations. It's the way you retrieve and make sense of data that's extremely large, it takes a lot of work. So I think that technology is getting better. I also do, however, think, there are certain things you just cannot shape just by prompting the model. So to some degree, you do need to touch the parameters of the model itself. So there is this work that I do think does need to happen, and it is happening. The question is, how far can we take it? How do we source data, and how do you also create an ecosystem where people are continuously feeding data to this model so it's learning about you?Vibhu [00:09:50]: What's the intuition between why you need to do it in the model?Social Physics and Behavior Foundation ModelsJoon [00:09:53]: My intuition behind the actual when do you train or even post-train a model versus just prompt a model is if the model has to learn the underlying physics of the world that it's operating in. So it has to learn new social physics. The places where it doesn't have to train are the places where it already has the physics. We trust the physics. It already has the base statistics, but it's just trying to react to an environment. Then I think you can just prompt your way into getting the actions out of it. I don't think the models that are out in the open have yet learned the complete mapping of social physics of humanity. This is one of the core theses of Simile, right? And one of the core reasons why that is the case is if you look at the data that the model was trained on, these models were trained on the web data, like, whatever was available on the web. And these are really interesting data sets, but they are fundamentally the self-exposed attitudinal data with some behavior data that's sprinkled around here and there. And it has yet to learn the really deep behavioral nature of people, not just what people say they do online, but what they do in real life. And this is one of what I would consider to be the dark knowledge of humanity that we haven't quite captured. And it's these data that would also need to get factored into the model creation.Vibhu [00:11:21]: You call it behavior foundation model.Vibhu [00:11:23]: There's a good one-liner here, but outside of that, what type of data do you need? What are you changing on the model level? How do you go about modeling, doing a behavior foundation model?The Three Data Buckets: Interviews, Behavior, and CausalityJoon [00:11:35]: We think about data in three buckets. So one bucket is interview data. It's quite interesting. Rich qualitative data is interesting. It's not behavioral, but we would literally ask people, “Hey, tell me the story of your life.”Vibhu [00:11:53]: It's just what we're doing here exactly.Joon [00:11:54]: The question that you all asked at the beginning of this interview literally is the question we also ask. And we ask our participants to go a little bit deeper, than how far I went. Maybe I can give more of my life story in lieu of this. But the reason why that data is interesting is by learning about this very long-tail information about people, you get a lot of texture around this model, like, this person as a model. So even understanding their childhood memory or even their trauma, their first love, these things, quite informative in ways that's really hard to predict. So that's one. Then there are two tranches of what I would consider to be the behavioral data. One kind of behavioral data is observational. So these might be like transaction data, or these might be data that you can get by scraping the web, right? So you can imagine why these data sets would be interesting, right, because they give you the base statistics of people's behavior.Joon [00:12:55]: But then there is the last category of data, that I personally think is perhaps the most important, which is the data that describes the causal mechanism, the whys of people. Some of this is covered by the interview data, the qualitative, because people talk about why they made certain decisions. But really, where you get to see the most behavioral aspect of this is in randomized controlled trials, like RCTs. Imagine you have the same setup, but you have a few different variables that you are trying to tweak. Can you get realistic human behavior out of it in ways where, imagine you had this particular option. Imagine you're even trying to choose whether you're going to drink coffee or not. The day you drink coffee versus the day you didn't drink coffee, does your behavior change? That's a data set that describes a causal mechanism. This is quite important in modeling people. The reason why this is important is oftentimes when people come to us, or not just to us, but the reason why people are interested in simulation isn't because they want to predict the future. If you're trying to win against the stock market, predicting the future is interesting.Prediction vs. Simulation: Shaping the FutureJoon [00:14:08]: But most people, most decision-makers, what they want to know is, how can we shape the future? It doesn't really help you to hear that your sales are going to tank in two quarters. They're just gonna say, “Wow, that sucks.” What they want to know is, well, what do we need to do now to avoid that future? That's the causal mechanism. And this is also very hard data to come by, right, because the world is our ground truth, but it happens once. So in a very controlled setup where everything is equal except for one variable, this kind of data set rarely happens. So this is a reason why this data set is both hard to come by and quite important if you're trying to model human behavior.Swyx [00:14:50]: So behavior, I think, is the hardest data set to acquire. What is out there? What is even possible? You're not going to know a lot of details about my life. I don't even have data for myself on my own health or habits, and I just don't log everything. So how can you have that data?Joon [00:15:14]: So we run a lot of randomized controlled trials.Swyx [00:15:17]: But you put people in the lab, they watch them sleep, or what?Joon [00:15:20]: We do care a lot about the consent process. People know that we invite them to be a member of this community to both share data and have themselves represented in different forms. But we bring a lot of people to the lab, or virtual lab, where we design experiments that would pose them real behavioral decisions. And often in these experimental setups, what makes the difference between what is attitudinal versus behavioral is whether the stake in your decision is real. That's ultimately what makes it behavioral. So in these setups, we are inspired by our colleagues in social sciences, psychology, and so forth. So when they run studies, the techniques they utilize is imagine there's an online store that you're inviting people to come by. Then whatever they purchase in this experiment, they actually get that item delivered. Like, these are the things that make the stakes real. So we run a lot of these experiments, and we also do partner with firms. Right now, we also have customers who are quite excited to at least give us a glimpse of the behaviors that their users exhibit so that we can get a little bit deeper understanding of how people behave in these different platforms.How Customers Use Simile: Populations, Queries, and ExperimentsVibhu [00:16:39]: I think on the customer side, they have a lot of data about their users, who has bought. They have the action data.Vibhu [00:16:47]: Can you walk us through an example of what someone comes to you for? What questions would they want solved? Do you customize a model for them? Do you have something off the shelf? What does that look like?Joon [00:16:59]: Today, when people leverage our models, it's often to better understand the population of their interest. So usually, the start of the relationship, we come together and hear about what population they want us to model, right? So it might be that if you're a CPG company that's selling to all of the US, then maybe it's fairly straightforward. You want to model the gen pop of the US. But at the same time, if there is a vertical or if there's a market that they're trying to go into, imagine, they want to better understand, let's say, people in their 20s and 30s living in California. That's a much more specific population. So we hear about this population, and we go recruit these people, with consent, and with incentives, and we collect some of their data and create a model of these people. Then what our product allows you to do is query them. So it can take as input a filter that is a description of the population that you want to talk to, just like the one I just mentioned, and an environment. The environment can literally be survey questions, behavioral experiments, It can be A/B testing. Oftentimes, the core use cases are things like concept testing, to start with. But also, people sometimes want to do focus groups or one of the fun use cases that we also serve is even modeling things like earnings calls for public companies.Joon [00:18:21]: So these are the use cases that we often start with.Swyx [00:18:23]: Concept testing, is that an established term? I've never heard of concept testing.Concept Testing, Gallup, and PoliticsJoon [00:18:27]: Yeah. So it has to do with they have, let's say, different messaging, different products, different ideas.Swyx [00:18:32]: It's like a marketing exercise.Swyx [00:18:33]: Okay, got it. Got it. Politics?Joon [00:18:36]: We do, have a strategic partnership with Gallup, and of course, Gallup is deep into policy space and so forth. Right now, we have not worked deeply with politics, like that area just yet, however.Swyx [00:18:49]: I'm curious if there is demand or if they really would have different needs that somehow fundamentally don't mix with your existing, users or people.Joon [00:19:00]: I think there's certainly demand.Joon [00:19:02]: But we are very much mindful of how this technology gets adopted and the societal impact that we'll end up having with this technology. And I do see politics as an area where a company has to be particularly thoughtful about the way they operate and make impact. So this is where we also want to make sure that we form enough of guardrail and perspective on how to leverage this technology before we go on to serve markets like the politics.Swyx [00:19:29]: I'll give people an example. one of my favorite shows is The West Wing. I don't know if people have watched.Swyx [00:19:34]: One of the key storylines is, like, the president has, multiple sclerosis, but they haven't. they need to figure out how to disclose it. So they run a poll with a fake governor and ask people to respond on the poll,Counterfactuals, Polling, and When Simulation Is UsefulSwyx [00:19:47]: They try to make decisions based on the results of that poll on, like, how well they'll be received, like where, how should we play this?Swyx [00:19:54]: And I'm like, well, I think those counterfactual things, I would use a simulation for this if I could trust it.Joon [00:20:01]: For sure.Joon [00:20:02]: In that show, how'd it go?Swyx [00:20:04]: In that show, it was, like a foregone conclusion. They were like, “We know it's bad. We just don't know how bad.” And then the poll came back. It was like, “It's really bad.” And then they just did it anyway.Joon [00:20:14]: Part of it is to show, right? So you're, you're looking at the ideaSwyx [00:20:17]: Maximizing drama.Joon [00:20:18]: How bad could it be? Oh, it's horrible.Swyx [00:20:20]: And to some extent, I think that is part of the trick of the, or the challenge or with being a customer of yours, which is that if I know it's. if I roughly know and can intuitSwyx [00:20:35]: What the effect is going to be, do I need you? What sensitivity of it, of effect do I need in order to make a decision, right? So for example, if I, my approval rating is 50%Swyx [00:20:48]: And I, they have this negative piece, news item comes out, and it drops to 30.Swyx [00:20:52]: If it drops to 20, if it drops to 40, do I care? No. It, I know it drops. It's negative. So when do I care about simulations?Joon [00:21:01]: You do something that's clearly bad, that's not popular, and people don't like you, like, yeah, it's likeSwyx [00:21:05]: You don't need a simulation.Joon [00:21:07]: Yeah. Well, so there are a couple of things. one is, there are use cases where, like every day, developers, designers, policymakers, marketers, every single day, they create assets. They create new products. And turns out, it's many of the decisions in hindsight is obvious. Yes, of course this is bad, but we still run those studies because understanding the magnitude and understanding how acute something is quite difficult, even if, we feel like, of course, like this makes sense. this is the reason why we make so many mistakes. Like, every time somebody goes online and say something that has huge backlash, you look at that and like, “What an idiot.” However, it's tough. That's one. There's also another aspect here, which is, again, this is the reason why simulation is different from prediction. In simulation, in the ideal case scenario. So what simulation is trying to show is it's trying to show each step of the way or each step that we need to take to get to a certain outcome, right? So in the most advanced simulations, sometimes the next step that we're suggesting might be quite counterintuitive. The analogy that I sometimes give, and I ground it in a more realistic example, but, I, as I mentioned, I'm a huge fan of science fiction, and I don't know how, many of the audience members have read, like, things like the Foundation series by Asimov.Simulation as a Path, Not Just a PredictionSwyx [00:22:37]: Oh, yeah. We've mentioned psychohistory a number of times.Joon [00:22:39]: Okay, fantastic. So I might be, talking to the right crew. If you read Foundation series, literally the first act is there's a group of scientists who have found out that, “Oh, our galactic empire is going to collapse, and we're going to have 30,000 years of unrest.” And they run psychohistory, the simulator that tries to teach them, “Okay, how can we keep this unrest to a 1,000 years?” And they plan this out, and the first step of that plan is to get the scientists who say, “Okay, this is coming,” exiled into this random place in this, galax- galaxy.Swyx [00:23:18]: Terminus.Joon [00:23:19]: Exactly. And that's so counterintuitive. Like, what a strange move that you literally sent the group of scientists who was raising voice around this potential collapse of galactic empire into nowhere. How is that the right first move? Well, it turns out in this particular simulation, that was the move.Joon [00:23:40]: It's these things, right? And the reason why these reasoning is possible is because you're showing the step function or each step that results in a particular outcome. So really what simulation allows you to do in its highest form is you give it not a problem or question, like what would people answer to the survey? That's not what we do. What we tell it is, “Here is a goal that we have. In the context of foundation, we want to keep the unrest to a 1,000 years. What is the path that we need to take now to get to that particular future?” And that's what simulation allows you to do. Now, translating that into real market, imagine you're a automobile company and you're about to release a, EV, and you're trying to understand, well, how do we market EV, to make sure that our stock price goes up? But what if the answer comes down that, well, you can market your EV in XYZ way, but that might change people's perception around the cars that's not EV and make your overall sales to go down. Not very intuitive, especially all you're trying to optimize is EV salesss, and that's the only thing that you're tracking, then that might result in a completely wrong solution, or at least different solution than what you would have expected, whether it's right or wrong.Joon [00:24:57]: That's the power of simulation.Swyx [00:24:58]: For listeners, we covered a similar topic with Mikhail Parakhin from Shopify, where they are working on SimGym. I don't know if he ever talked to you about it. it's very similar.Joon [00:25:07]: ISwyx [00:25:07]: The goal is increased conversion, but then the journey is very unusual.Joon [00:25:12]: Journey is unusual.Swyx [00:25:12]: Yeah. The-- He's trying to look for interventions on a shopping trajectory, which is similar to what you're saying. Like, it's not about the attitudinal, is your word for it.Swyx [00:25:24]: It's about behavior.Joon [00:25:25]: It's about behavior.Swyx [00:25:25]: And that's exactly the difference, right? It's, like, not about the near-term direction about-- but it's more about, like, how do you affect multiple turns of interactions.Vibhu [00:25:35]: You had a good quote at the start about this as well. It's not about people wanting to know the outcome. It's about how they can change it, change the way to get there, something like that. But I wanna take it back to how do we know this is grounded? LikeGrounding and Evaluating Digital TwinsVibhu [00:25:47]: How do you run evals? How do you test that simulations come through? if I was to do the same thing that you described with, say, your favorite LLM, Opus, GPT-5.6, have some agent to map out these thingsVibhu [00:26:02]: How different are the answers we would get if I give it the same goal, the same objective, make a decent system? You're saying that you need to change the model weight. You have your own solution to this. But how far off are we, and how do you check if it's grounded? you have some interesting stuff on your site that points to how you run real evals, but if you could take us through that side. I think that's one of the big concerns that people have. They're like, “LLMs hallucinate.”Vibhu [00:26:27]: “You're just hallucinating layer after layer,” right?Joon [00:26:30]: The way we do this, and this is the paper that we worked on after the generative agents paper that really became the, at least for Simile and also the field of simulation and synthetic panels, really became the foundation. Yeah, this is the paper. the paper is called Generative Agent Simulations of 1000 People. Here's what we've done. For this paper, we brought 1,000 people that's representatively sampled from the US to a virtual lab. And what we have done was we spent two hours collecting fairly wide-ranging data. In this particular study, we focused a lot on this interview data, that was, whose script was taken from this project called American Voices Project. And then we would also pair that with a lot of behavior data and so forth, whatever we can collect within two hours. And then we would send these people away for a couple of weeks. And during that time, I would use this data to create their digital twins. And I would bring the humans, participants back after 2 weeks and have them complete a battery of surveys, experiments, behavior studies. So we have the list here, which included things like behavioral economics games. We would run literally, like, Big Five personality test, General Social Survey. We would also go ahead and run the randomized controlled trials that were published on PNAS. And we would have their digital twins predict how the source individuals would have acted in these studies and surveys. And this is where we could replicate people's behaviors and attitudes 85 percent as accurately as people would replicate their own. So that was the first really paper that gave this validated results that we can model individuals in an accurate way. And what we ended up finding now, of course, in AI space, so this paper came out at the end of 2024. AI space, a year and a half, 2 years, that's a lifetime.85% Accuracy and Why Frontier Models Miss Human BehaviorSwyx [00:28:24]: Yeah. Just, for listeners who are not seeing the YouTube, I just wanna say, like, the headline figure is 85 percent accuracy, like, which is a big improvement over all the otherSwyx [00:28:34]: Methods that you showed.Joon [00:28:36]: But the part that was particularly striking to us, especially as we improved this technology even further, was the generative AI models like ChatGPT, Claude that's coming out, it does give you the right foundation. However, what they do not consider is the true attitudinal and behavioral aspect of people, especially in the population that you care about. So what these models are really good at today is they're trying to become the super rational, objective machines, right? So you go get their data from places like Mercor, Scale. You talk to professional programmers, scientists to create model that's amazing at reasoning. That's what they do. Simile doesn't care about any of this. The models that we're talking about here, what we're trying to create are models that are as dumb as I am, right? So if I make some mistakes, the model has to make the same mistake.Swyx [00:29:34]: Oh, that's very hard.Joon [00:29:35]: That's very hard.Swyx [00:29:36]: You're solving Murphy's paradox.Joon [00:29:37]: That's exactly. And this is a completely different data and training objective. This is also where we see quite a bit of discrepancy in the performance in human behavior prediction between the frontier models, Simile's model, and the models being created in this space, where in some cases, the model performance of frontier models go all the way down to 20, 30 percent, especially if you go into that more niche population on topics that our customers would care about. On more gen pop, it might be around 50 to 60 percent. So it's not very robust. Like, you wouldn't want to make your decision off of these and these findings. If you can bring that up to 85 percent, that is ultimately what people end up getting very excited about.Swyx [00:30:20]: Yeah. Do we wanna keep going on the paper, routes?Joon [00:30:23]: Yeah, for sure. So the last one, was an interesting one. So this, paper was the follow-up paper that we had, to the 1000 agents paper, where the idea was now can we augment the models even further and post-train a model based on a lot of randomized controlled trials? So this was an interesting one. The data is always the most interesting part of modeling in many ways. The data that we got here was there's this, there's this platform called Open Science Framework. So some, the audience might be familiar with this. And there has been, especially in the social sciences over the past 5 years or so, there has been this concern around replicability of studies. And so it was a bit of a crisis, the scientists acknowledged, where we rerun the study and we don't see the same finding.Post-Training on RCTs and Replication StudiesVibhu [00:31:12]: Oof.Joon [00:31:12]: It's tough. And the reason why it's there-- that was often the case was there's this survival bias where the papers that get published often need to maintain what we call the value of less than 0.05 in the experiments that we ran. That suggests that only-- there's only 5% chance that the results that we saw is false positive. But the tricky part was all the papers that were not published, and there's still a 5% chance that whatever we publish is totally just randomly generated. Like, there's a 5% chance that, hey, this effect is not real, but it just happened to be real because of the sampling bias. So because of that, what scientists started to do was they started to register their studies. So before running an experiment, they would go to this platform and say, “Here is the data. Here is the population that we're collecting, and here's the hypotheses.” And they would just say, “Here is our hypothesis.” Like, “This is what we believe.” And you cannot retroactively change those hypotheses. This is what gives us more scientific statistical confidence that whatever effect that you ended up seeing is true. So that ended up creating this really interesting platform where there's one platform that has now contains tens of thousands of real-world experiments and hypotheses. And a lot of these are really high-quality, like, professionally designed behavior studies and random- randomized controlled trials. So we got the data and the studies from this platform and used that to make a point. And this particular, model is not, something that we're serving commercially because this was a part of the open science. But this particular data set, helped us make a point that by collecting a lot of these randomized controlled trials, that are really well-designed, we can make significant improvement in model's capability to predict human behaviors. So that's what this paper was about.Vibhu [00:33:10]: Is this stuff done on a individual level? Like, do I need to tune the model per individual, per company? Is there foundation model changes and then some slight post-training? Anything you can share there?Population-Level vs. Individual-Level ModelsJoon [00:33:21]: So this particular model was trained. the data we had at the level of individuals, but this particular model was trained. We experimented with both. And this is what we end up doing at Simile too. We always train 2, distinct model. One is what we call the population-level model. The other is what we call the individual-level model. And both take very similar input, which is the description of a subpopulation or individual and a stimuli. In this particular work, we've done the same. Here, the results that we are reporting are much more geared towards individuals because we do think that is a harder task in many ways, but that's what we have done.Vibhu [00:34:02]: You seen anything on the questions that humans can solve that models can't solve? So likeHuman Biases, Mundane Choices, and What Models MissVibhu [00:34:09]: Currently, it's, I live 5 minutes walk away from a car wash. It's a 10-minute drive. Should I walk or drive?Joon [00:34:16]: Huh.Vibhu [00:34:16]: The model will say, “Oh, walk to the car wash.” And, you don't have your car.Vibhu [00:34:20]: Is anything like this a problem in simulation? You would assume, like, very simple for human to think about, but if the model is saying you should walk to the car wash, anything here?Joon [00:34:32]: It's less, what can we solve, but I think it's more about what biases or mistakes do people make that models miss. Like, imagine that you are, like the. When I was still at Stanford, I lived in Palo Alto. So it's about, I would say, 40-minute walk from the campus. You ask the model, “Okay, let's go home. What can I, what can I do?” It would likely call an Uber or, give me, the bus time. But for the longest time, I really liked walking back. And the reason why I wanted to do that was not for efficiency. It really helped me think. And I like to walk for, half an hour or 40 minutes or so a day, where I just get to, just think about ideas, research, just get lost in my thoughts. That's very human activity. Unless the model has seen that and understands the importance of that activity, it would miss these kinds of features. So that I think, is fundamentally what we're trying to model. Like, what is fundamentally human might not be the most efficient thing to do, might not be the right thing to do, but things that make us who we are.Swyx [00:35:43]: I'm curious if, there are some data sets that you really want that would materially help you. One version of this may be interesting, which is more valuable to you to acquire as a data set, all of LinkedIn, all of Twitter, all of Facebook?What Data Matters: Social Media, Transactions, and FacebookJoon [00:35:57]: It's a little bit hard to rank, in part because, there's, there's this product saying where no feedback is wrong because it teaches you something about your users. Doesn't matter what feedback.Joon [00:36:11]: I think it's a little bit like that.Swyx [00:36:12]: So just whatever is bigger.Vibhu [00:36:13]: What about a different domain? Say it was. What about all of Amazon data?Joon [00:36:17]: Oh, yeah.Vibhu [00:36:18]: Shopping data, right?Joon [00:36:18]: Shopping data. So Amazon data is interesting in that it's very much behavioral, although, like, what people do on social media, you could squint and say that is also behavioral. But the transaction data is always interesting. It is also most commonly available, however.Joon [00:36:33]: If we were to look at purely social media, like if you really, if I were, if I had to really pick, Facebook likely is interesting because I do think it is most a default version of people. Because you go to LinkedIn, it's very much professional environment. So people put up their, they have their guards up, right? And that still is interesting because that is true human attitude and behavior, but it is not your base state. you go to Twitter- Twitter, people have their own crazy personas, or depending on who you are. Like, my Twitter profile and, persona is very much, initially was I was very much an academic. “Hey, I'm here to share my studies.” Now, I share, things that's related to Simile. But Facebook is one of those more private space where people just connect with their friends. In that way, I do think it shows you a little bit more about who that person is. So if I had to pick, I'd likely pick, Facebook.Swyx [00:37:30]: Yeah. And you're interested in, like, the whole person and their background and philosophy. I, is it too clinical or too machine learning-oriented to just say this is just ways to inject variance and biases? The broad question, is, like, is this any better than a randomized, like, combinatorial explosion version? So we have a link to the TencentBillion Personas, Synthetic Demographics, and Bespoke DataSwyx [00:37:54]: Billion persona paper, where they did not do any of the groundwork that you are doing.Swyx [00:37:59]: They just did like a cross matrix of here's all the professions in the world, here's all the people, possible backgrounds in the world, do a dot product across all of them, and that's it. That's your prompt for a billion people.Swyx [00:38:12]: This will do something. I don't know if it'll do what you do, but it gets you some way, some percent of the way there.Joon [00:38:18]: So this was an interesting paper. Like, what I admired about this paper when it came out was the scale. And you do gradually want to be able to simulate really large societies and interactions. So the scale is definitely admirable. it is relying heavily on the known statistics that went into training the model. So to the extent that you believe that statistics is correct, this is not a bad way to go about this. But the thesis here, and this is something that we also have seen in the market, like if this works, then we have solved simulation.Joon [00:38:54]: It,Swyx [00:38:55]: Because I survey, like, okay, 5% of the US population is in construction.Swyx [00:39:01]: The other 5% is in medicine, whatever, right? And then you just keep going down the list, and then you do the other side. 5% has, like, the big 5 personalitySwyx [00:39:08]: Of, like, neurotic or whatever. That's it.Joon [00:39:11]: That's it. So if you believe that the underlying data set and the platform that we're leveraging has all the right statistics, then this will have solved it. you're at that point merely retrieving the knowledge that is already embedded in the model, in the model parameters. That's not, unfortunately, what we see, where there is such detailed and also niche knowledge about people that if you just take one example, it might feel very mundane, but it's quite rich when you put together, that you do need to do a lot of bespoke data collection to better understand people. And this is also, I think what makes this particular, job fun, which you want to deeply understand people, and the process of deeply understanding them requires a lot of attention to the details. And you do need to pay attention to and pay respect to the daily lives that people lead.Scaling Simulation: From Thousands to SocietiesVibhu [00:40:04]: I wanna talk about scaling simulation.Vibhu [00:40:07]: So what can't we simulate, what can we simulate, and how does scaling affect this? So how big are the models? What if we go from, 8B, like, couple 100 billionVibhu [00:40:18]: Like billion000 parameters, billion000? Do we get scaling? Any interesting emergence? Like, at a certain scale, at a certain amount of training, you uncover anything unusual and any learnings from that?Joon [00:40:31]: What we are seeing is at Simile, so we do post-train our own model. The thing that we're seeing is the early glimpse of scaling law in simulations. The more data about humans and more compute you ingest, you start to get predictive and predictable gains of the model performance in simulating it, simulating people.Vibhu [00:40:51]: Ooh. We need a scaling law curve.Joon [00:40:52]: It's scaling law. Whenever you find it's a beautiful thing. And we're starting to see the glimpse of it, which is quite exciting. But if you talk about the ambition of simulation as a whole, it's not merely about building a model. It's about building a model, then creating the agents that become the individuals in a much larger ecosystem. So they're creating this multi-agent simulation. Down the line, you want these multi-agent simulation to also live in a very rich environment, right? What we are really trying to get to at that point is, hey, can we create. All right, let's do a time machine game again, and 5 years, 10 years into the future, can we create a simulation of 8 billion people living on Earth? I think that's quite interesting. And that really is the vision. And once you get to that state, the questions that you can help answer for the society also start to change from my perspective. The answers are fundamentally about emergence of the emergent behavior of society and large groups of people.Joon [00:41:53]: So the questions that I get excited by, and maybe this is a stodgy- a bit. I have my, academic side of me.Joon [00:42:01]: And for me, it's questions like, can we help solve climate change? If you look at climate change as a problem space, this is what we, like social scientists would often call it the wicked problems, problem where you have many actors with competing incentives for trying to make a very complex decision and coordinating that coordination decision. Very difficult to really solve in real life, which is also the reason why we couldn't solve it. Can simulation help us solve that? Another one is, can we understand the signals for collapsing democracy, or can we understand or can we uncover the origin story of the monetary system? These are societal questions that we never really had a good way of answering. If we can create simulations of our society, you have to believe that these are the problems that we can solve. So that's really the ambition of this field. And, I also think, yes, I think there's a Nobel Prize to be won there, which wouldn't be surprising. And I think there's some amazing societal impact that we can have to help people make better decisions.Climate Change, Democracy, and Societal SimulationSwyx [00:43:04]: Nobel Prize in economics?Joon [00:43:06]: In economics.Swyx [00:43:06]: Oh, I see. I see. Rooting for you to write that paper.Joon [00:43:10]: One of these days. But, one of the scholars that I was deeply inspired by, When I was coming into the space of simulation, is this scholar, named Thomas Schelling.Schelling, Agent-Based Models, and the Nobel PrizeSwyx [00:43:23]: Schelling point?Joon [00:43:24]: So the canonical example of the work that he's done was he was one of the creators of agent-based modeling. So this was, like, in the 1970s and 80s. It's very early days, but this was truly one of the first exemplars of simulations. And one of the canonical model from that time, and of course many of these simulations are trying to tackle the societal problems that's most relevant for their era, it was called the model of segregation. So racial segregation was a big topic, that, we cared about. And what they've done was they created this grid world where they had red dots and blue dots. And these dots were, back in the day, like, they were the agents, and they had a simple rule that governed their behavior. If certain percentage of your neighbors are of different color and if that goes above certain threshold, then you move to a new location at random.Joon [00:44:21]: One of the striking finding of this paper or this agent-based model was for the longest time, people thought the segregation within society was caused by explicit and overt racism.Joon [00:44:34]: But if you look at this model, people's preference towards living with people of the same color, that preference can be very minute.Joon [00:44:42]: But the very small difference causes the society to segregate completely over time. This was very counterintuitive for a lot of people. And this particular work ended up informing housing policies. Mixed income housing, got really inspired by this work. And Thomas Schelling ends up winning the Nobel Prize for having laid the groundwork for very early versions of simulations. The opportunity that I do see here in the more scientific terms, is agent-based models for the longest, had impact in the 1980s, 90s, to some extent, early 2000s, but it has now gotten forgotten by the community a little bit. Because as you can imagine, red dots and blue dots is not really a rich description of people.Joon [00:45:31]: But with the emergence of things like generative AI and, in particular, generative agents, we do have an opportunity to create these agent-based models that are high fidelity enough to help us make really complex decisions. And that's the opportunity that I see. If that truly works, then yes, that is the work that will result in a Nobel Prize.Swyx [00:45:53]: Yeah. For what it's worth, and I grew up in Singapore. 80% of Singapore is in public housing, and public housing has, enforced racial quotas for exactly that reason, which is very interesting. okay, so we talk about scaling, we talk about all these, the agent possible applications.Cost, Reuse, and the Economics of SimulationSwyx [00:46:13]: I'm scared about the cost. if you even-- let's just keep it to the US, about 8 billion people.Swyx [00:46:21]: But, how much does it cost to model so many hundreds of millions of people?Joon [00:46:26]: Oftentimes today, we don't start at that scale, this stage of the, of industry and simulation as technology. But we can get our users extremely rich and meaningful insights even by modeling thousands, tens of thousands of people. And today what we do is every week we are collecting data on the scale of tens of thousands people's data, and we have panel partnerships that gets us to tens of millions of people globally. So that's what we do today.Swyx [00:46:55]: And just as a side note once you've collected one person for one studySwyx [00:46:59]: Can you reuse that same person for all the subsequent studies?Joon [00:47:03]: That's exactly right.Swyx [00:47:03]: Okay.Joon [00:47:04]: The beauty of this model and these agents is the fact that they are domain-agnostic.Joon [00:47:08]: That what you're really trying to understand is what is the fundamental nature of these people? What's their social physics? And there are a lot of, a lot of, people that does change over time. Like, even, like, even things like, how many times have you gone have you been to, like, CVS the past week? that will change. But there's so many traits about people that are also known to never change. Like, your risk tolerance doesn't really change over time. It's very consistent. So it's these things that we're trying to learn. But the scale we are operating is right now hundreds or, tens of thousands to hundreds of thousands. And in many of the core use cases that we are deployed in, and this is more than enough population, to cover those. Really, at that point, what you care about is less the number of people, but more do you have the right subpopulation of interest covered? And this is also the reason why people want a larger sample. It's not because they want, stronger statistical guarantees. It's more that can they filter down to any population of their interest. However, you can also imagine in 10 years, if we truly believe that the compute is going to scale, that we'll have much more availability for compute, and our ambition for simulation is also going to scale accordingly, there's definitely a reason for us to create an entire data center worth of simulations.Joon [00:48:35]: Or in my hunch here is I do think in the next some number of years, we will start creating simulations that will cost as much as training a foundation model. But perhaps it's going to be so valuable to the society that it would be a no-brainer. Right now, even today, like, we are training bunch of new foundation model just so we can say we trained one and we spent tens of millions. But if we can create a simulation at the level of society that would solve climate change, I would run that today. I would raise the money right now just to run that.Multi-Agent Simulation and Social InfluenceSwyx [00:49:10]: Amazing. the follow-up question is, does it also compound if you let the simulations talk to each other?Swyx [00:49:18]: Or do they already do that today? They don't, right, as far as I understand?Joon [00:49:22]: It depends on what simulation you're trying to run.Joon [00:49:24]: In the multi-agent simulation setup, the agents do talk to each other.Swyx [00:49:28]: Right, which is exactly Smallville, right?Joon [00:49:29]: That's right.Swyx [00:49:30]: But a lot of times, for example, in commerce, you're just by yourself, so there's no point talking. which is way cheaper.Vibhu [00:49:37]: But they use all these levels, right? Like, you decide what you will buy based on what other people around you buy and talk about, right?Swyx [00:49:43]: It depends.Vibhu [00:49:44]: It depends.Swyx [00:49:45]: Again, I'm, I'm coming at this from a cost point of view. I'm like, “Oh my God.” LikeVibhu [00:49:48]: I thinkSwyx [00:49:49]: If there is, like, some combinatorial thing of, like, thousands of people talking to thousands of people, then that one million X's might cost.Vibhu [00:49:56]: I have a very different view as the cost point aside. Like, running these studies in reality is a lot more expensive, right? Running any study like this is you gotta have people do it, you gotta sign people up. It's very expensive and sometimes, like, not feasible to run the study.Vibhu [00:50:14]: But the outcome or the decisions you make are very expensive on them, right? So spend X million on something that, the overall process costs 100 million might as well, right? There's, there's a lot of value to be had there. It's a small cost, but I'm excited on the cost side.Joon [00:50:33]: To some extent, and when you deploy technology, you often want to deploy in a way where you can replace existing budget or you can make things more efficient, and that is the best way to deploy. However, the way you capture the long-term value of the technology is making the argument that, no, it's the upside, that by making this better decision using simulation, you have saved yourself or made yourself hundreds of millions or even billions of dollars, and that's a case to be made.Vibhu [00:51:06]: Random tangent question. So if you're doing a lot of inference, a lot of model multi-agent stuff, are you at the point where it makes sense to, train a model that' very sparse? You're expecting to do multi-million dollar runs. Are you thinking about this in model architecture standpoint or inference efficiency, or, you're still at the research phase of it works, we're not super there yet?Joon [00:51:34]: Efficiency, we do think quite a bit about. this is technology that is deployed now in some of the largest enterprise companies in the world, and we do process significant number of queries, that are trying to, simulate the populations in the world. So efficiency is a consistent thing. we don't want to over-optimize too early, so I wouldn't say, like, this is the higher bid Right now, but this is definitely something that we think pretty carefully about.Swyx [00:52:05]: Yeah. Are there other case studies? So we, you talked about CVS, talked about Gallup, Deloitte, Wealthfront.Efficiency, Enterprise Use, and Real-World Case StudiesJoon [00:52:12]: Wealthfront is an interesting one, because one of the things they were trying to do, they were one of the first customers that wanted to do product testing that goes beyond just asking people what they think about, let's say, behavior experiments and so forth. So there, really what we had to do was reason about multimodal input, so images, but also you can also imagine, like, these agents traversing through Figma mockups or websites. So some of the things that our agents can also do is it can be given a domain, like, or, like, a website URL and go use it for a while. It's these things. And Wealthfront was one of the first, customers, that was very excited about this possibility.Vibhu [00:52:53]: What have people been asking? Like, is there any demand that we have not covered? Like, UI testing, right?Vibhu [00:52:59]: I wanna try a new. I wanna ship a new feature, test the UI, simulate how people will do it. Any interesting things that you're seeing demand for?Product Testing, Websites, and Synthetic PanelsJoon [00:53:08]: Today, a lot of the demand does come from like, the places where people have historically used human panels, we can now replace with agents, and these synthetic populations. And this is not replacing human panel. in many ways, the simulation that Simile is building is grounded. So the way that I think about this is we are trying to represent humanity at scale. And in that way, the use cases are what we would expect, but it's the scale of deployment that surprises me.Joon [00:53:44]: Turns out there are so many decisions that people make every day in these organizations, groups, and we want to be able to say, “We listen to people. We have consulted our users.” But in reality, that is rarely the case because getting to people and asking them many questions, it's difficult. It's both costly, time-consuming, but most importantly, people are just not available. If I had to answer 1000 survey questions for this one particular, vendor, even if I wanted to do that, like, I would never do it. And that's very much the case. What simulation can do is ensure that the voices of people are always represented in rooms where the decisions for them is made, right? So all the stakeholders of this particular product launch, ideally they're consulted. That's what this technology really is trying to enable.Market Size, TAM, and Human Decision-MakingSwyx [00:54:39]: In my mind, that means it skews towards more consumer focus, right? Like, anything with a wide enough customer base where you do benefit from the diversity that you represent. What are some rough statistics, just for people who are not familiar with this market in general, what's the market size that. I'm sure you have some, like, rough numbers. market size is, like, a vague questionSwyx [00:55:01]: But, like, how much do people spend?Joon [00:55:03]: So market research is a $100 billion industry.Joon [00:55:06]: But the thing about simulation is not a tool for market research. Simulation is a tool for human decision-making. So the question around what is a TAM here is quite tricky, right? Because it's easy to say, “Well, market research TAM is roughly 100 million or 100 billion.” so is it a TAM? And not really, right? Because in many ways, you're trying to inform all human decision-making. You're trying to inform every decision that are made about humans for humans. What is a TAM for that? It's really unclear. And I'll be honest. Like, I have a scientific background, I have a research background, so I didn't come into the field calculating, oh, what is the TAM for human decision-making? But I just had to assume, well, if we can inform every decision that is made about human for human, that has to be big.Swyx [00:55:58]: Some- something valuable.Joon [00:55:59]: Exactly.Swyx [00:55:59]: To some extent, you are a unicorn founder now, and you have to care as a CEO. But, like, I do think, like, yeah, when you go into these boardrooms with people that you're quoting millions of dollars of contracts for, like, you have to say, “Well, here's what you spend on humans-”Swyx [00:56:15]: “. And here's what we save you, and it's 85% similar.”Joon [00:56:19]: And certainly, the value case, is something that we care deeply about. Like, what is the value that we provide to the users and the decision-makers? But this is also where, like, as a founder, I think valuation only tells one very superficial aspect of the story, and I try not to think too much about valuation, in general, because that's not what also motivates a team or certainly doesn't. I'm, I-- Again, the interesting thing about researchers is we are happy living in academia, getting paid next to. we get paid okay. we don't get paid that much, as a researcher here in academia, but it's the impact and it's the, it's the value that we can provide to the individuals and the society that really drives us. And in that way, ultimately what drives us is the impact. Does the simulation we provide have a real impact in people's decision-making in ways that progresses our society forward? If the answer is yes, then yes. that has to be great business, and we see that in numbers, and we do care deeply about that upside story, but that's the heart of it.Where Simulation Goes NextVibhu [00:57:27]: Do you have any timeline predictions? So we talked about scaling laws of simulations.Vibhu [00:57:33]: You brought up, okay, maybe one day we can simulate how to solve climate change.Vibhu [00:57:38]: Where are we now?Vibhu [00:57:40]: If that's not the end state, what is an end state, and what does progress look like?Joon [00:57:45]: So what I sometimes tell people is simulation as industry, it feels a lot like where GPT-3.5, GPT-4 was, for the AGI saga, which is we have now technology that is powerful enough to do real damage on the verticals that we are tackling. At the same time, there's a lot of progress that is yet to come. And that's, I think, where this is. So the way I see it, I do think there will continue to be breakthroughs both in data, in algorithms, and there will be much more aggressive scaling that will also happen over the next few years. But I think that's roughly where we are.Swyx [00:58:27]: I think that was about the ro

To have your question featured in a future video, please visit: DrMorses.TV/ask Buy herbs: https://jo.my/handcrafted-formulas Getting Started Guide: https://jo.my/start-here-hbf

To have your question featured in a future video, please visit: DrMorses.TV/ask Buy herbs: https://jo.my/handcrafted-formulas Getting Started Guide: https://jo.my/start-here-hbf

It's August, and before summer slips away, we're going surfing genealogy style! In this episode, Lisa Louise Cooke is taking a fast-moving tour of favorite genealogy websites, along with some lesser-known gems that may be completely new to you. At each stop, you'll discover a reason to visit and a practical tip for getting more from the site. ✔ SHOW NOTES: Get the show notes at Genealogy Gems. (Premium Member Bonus Downloadable PDF in the Resources section.) Genealogy Gems Premium Members Exclusive Download: Premium Members have exclusive access to: Video classes and downloadable handouts The Genealogy Gems Premium Podcast Downloadable ad-free show notes PDF cheat sheets Become a member here. Learn more about Genealogy Gems Premium Membership. Our Sponsors for this episode: Newspapers.com Get 20% off a Publisher Extra subscription. Click here and use coupon code GenealogyGems MyHeritage Click here to start finding your family history at MyHeritage Visit Archives.com Get the Free Genealogy Gems Newsletter The Genealogy Gems email newsletter is the best way to stay informed about what's available with your Premium eLearning Membership. Sign up today here. Follow Lisa and Genealogy Gems: Instagram.com/genealogygemspodcast Facebook.com/genealogygems Pinterest.com/lisalouisecooke YouTube.com/GenealogyGems

Welcome to Season 14 with Favour Obasi-ike, MBA, MS!The discussion explored the importance of understanding the four main keyword types: informational, commercial, navigational, and transactional, highlighting that commercial keywords account for a crucial 22% of search demand. Emphasis was placed on commercial keywords being the bridge between window shopping and purchase intent.A key theme that emerged was the necessity of data-driven keyword selection using tools like SEMrush, Ahrefs, Moz, and Ubersuggest. The discussion highlighted that even highly niche or seemingly unconventional businesses can yield significant results when leveraging strategic keyword research.Several points were raised, including the technical significance of URL slugs, content quality over quantity, proper keyword placement, and the increasing value of integrating social media channels for SEO purposes (e.g., linking Instagram/LinkedIn pages for higher authority).Personal success stories from participants illustrated rapid ranking improvements and revenue growth, underscoring the long-term value of SEO over paid ads for sustainable traffic and leads.Who Is This For?The conversation focused on business owners, entrepreneurs, marketers, and anyone interested in leveraging SEO and commercial keywords to drive meaningful growth—especially those with websites or digital services looking to increase traffic and conversions through organic search.Key Moments With TimestampsIntroduction to Keyword Types and SEO Fundamentals 00:00:04Explanation of Informational, Commercial, Navigational, and Transactional Keywords 00:01:21Real-World Case Studies on SEO Transformations 00:10:00Deep Dive Into Commercial Intent and Keyword Research Tools 00:14:14Strategic Use of URL Slugs and Their Impact 00:32:43Using Social Media Integrations in SEO 00:19:03Success Stories: Ranking Improvements and Data-Driven Tactics 00:49:56The Importance of Niche and Low-Competition Keywords 00:46:33How to Turn SEO Traffic Into Leads 00:58:04FAQsQ: What's the difference between informational and commercial keywords?A key concept discussed was that informational keywords answer questions, while commercial keywords indicate buying intent, such as “best software for…” or “top alternatives to…”.Q: How do I choose the right commercial keywords?The discussion explored using data from keyword research tools rather than guessing, emphasizing specificity, intent, and competition metrics.Q: Why are URL slugs important for SEO?One concept discussed was that your URL slug directly impacts your site's discoverability—matching it to target keywords can boost rankings.Q: Can small businesses compete for high-value keywords?A key theme was targeting long-tail, niche, or region-specific variants to outmaneuver larger competitors—sometimes ranking quickly.Q: How often should I update SEO content?The conversation focused on improving and refining content over time, especially as ranking and analytics reveal what's working.Action Steps for Favour Obasi-ikeEducate Your Audience: Continue breaking down SEO concepts such as keyword types, intent, and technical fundamentals in digestible formats, using case studies and real-world examples.Promote Data-Driven Decisions: Encourage the use of keyword research tools, and stress the importance of not guessing terms but validating them with competition and search data.Advise on Technical SEO: Remind clients to optimize URL slugs, interlink content, and leverage Google Search Console and social integrations for enhanced visibility.Showcase Success Stories: Regularly share tangible case studies demonstrating before/after results from commercial keyword deployments.Foster Community Engagement: Invite listeners to submit their own results, questions, or niche discoveries for review in future episodes or on social media.Create Step-by-Step Resources: Develop checklists or templates for commercial keyword research, URL optimization, and data tracking.Offer Consultations: Direct listeners to book a strategy call for personalized SEO roadmaps and deeper dives into their analytics and keyword gaps.Plan for Follow-Ups: Organize part 2 sessions to address advanced or transactional keyword strategies and continue the learning journey.Ready to Rank? Book Your SEO & Web Dev Services Today

Before Scott Mann walks into any high-stakes conversation…a negotiation with the Taliban, a pitch to a skeptical investor, a hard conversation with someone he loves… he asks himself three questions. Not a script. Not a tactic. Three questions that determine whether the person across from him actually trusts what comes out of his mouth next. Most people skip straight to what they're going to say. Scott and his guest, Chris White, will tell you that's the mistake. Influence isn't won in the words. It's won before you ever open your mouth. That's why I brought both of these guys back on the Coming Up Clutch with J.R.™ show. Scott is a retired Green Beret who spent decades building trust in combat zones, where influence was the difference between life and death. Chris is a serial entrepreneur and business coach who's watched hundreds of deals die in the room…not from a bad pitch, but from a missing connection. This conversation gets into what actually makes someone trust you, why most leaders are working twice as hard for half the impact, and the discipline both these men say is non-negotiable before you ever try to influence anyone else. In this episode, you'll hear: The three questions Scott runs through before every high-stakes conversation Why real leadership starts with reconnecting with yourself, not managing your image The role of storySELLING in building trust, influence, and business growth The #1 shift that changes how people respond to you almost instantly KEY QUOTES "We follow leaders who are relatable to our pain and relevant to our goals." - Scott Mann "Turn your phone off and ask better questions. Go deeper." - Chris White CONNECT WITH SCOTT Scott's Linktree to all social profiles, podcast, and resources: https://linktr.ee/rooftop_leadership Websites: https://scottmann.com/ https://rooftopleadership.com/ http://theheroesjourney.org/  https://lastoutplay.com/  https://operationpineappleexpress.com/ https://operelief.org/ TEDx Talks: The Generosity of Scars: https://youtu.be/_szAosvdWdM Rooftop Leadership: https://youtu.be/M78sDuehUnk Surrounded on Purpose: https://youtu.be/61eEC1-L6RI CONNECT WITH CHRIS Linkedin: https://www.linkedin.com/in/coach-chris-white/ Website: https://www.coachchris.io/ NEXT STEPS Listen to the full episode: https://jamesreid.com/scott-mann-chris-white-cuc Want to bring your best home more consistently? Take the Invisible Four™ Assessment and uncover what's quietly blocking you: https://jamesreid.com/assessment Follow J.R. on Social (@jamesJRreid): Facebook | Instagram | Linkedin | X | YouTube Visit J.R.'s website: https://jamesreid.com RATE & REVIEW this episode on Apple: https://jamesreid.com/review. We'd love it if you could drop a review or 5-star rating! Simply select "Ratings and Reviews" and "Write a Review" then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast. SHARE this episode with someone who wants to be challenged, pushed, and positioned to come up clutch more often. SUBSCRIBE so you don't miss out on any new episodes and Special Guests! Click that purple '+' in the top right corner of your Apple Podcasts app. LISTEN to previous episodes on Apple, Spotify, or whatever podcast platform you prefer!

To have your question featured in a future video, please visit: DrMorses.TV/ask Buy herbs: https://jo.my/handcrafted-formulas Getting Started Guide: https://jo.my/start-here-hbf

To have your question featured in a future video, please visit: DrMorses.TV/ask Buy herbs: https://jo.my/handcrafted-formulas Getting Started Guide: https://jo.my/start-here-hbf

This week's WeatherBrains episode is all about the Enhanced Fujita scale and the path toward implementation. Tonight's Guest WeatherBrain is the EF Committee Chairman.  He's the master instructor at the NWS Operations Training Unit, and he's the Team Lead in NWS forecasters course development.   He's also acting Director of the National Windstorm Impact Reduction Program at the National Institute for Standards of Technology, and he currently chairs and cofounded the Standards Committee on estimating wind speeds of severe storms within the American Society of Civil Engineers.  Jim LaDue, welcome to WeatherBrains! Tonight's Guest Panelist is the Founder and CEO of Climavision.  Climavision is a weather technology company that provides critical gaps in radar coverage, and improves forecast accuracy.  He brings in more than 30 years of advanced weather observation predictive modeling, work spanning dual polarization radar, mobile and satellite enable systems, and the forecasting models that turn raw observations into sharper forecasts.  Chris Goode, thanks for joining us! Our email officer Jen is continuing to handle the incoming messages from our listeners. Reach us here: email@weatherbrains.com. Jim's early background in weather (09:00) ASCE (American Society for Civil Engineers) (11:30) Who decided to update the Fujita scale in the early 2000s? (14:30) EF Scale Subcommittee (21:30) Bill under construction to improve assessment of tornadoes (33:00) Behind the scenes with other ways to rate tornadoes in new EF Scale (37:30) Re-analysis process in a civil and organized fashion (46:00) Damage exposure simulations in the future? (50:00) EEC (Enterprise Electronics Corporation) (01:00:30) X-Band vs C-Band radars (01:03:30) Benefits of Climavision high resolution radar and how it improves the warning process (01:05:30) Relationship between Climavision and NWS (01:08:00) Phased array radar - when will it happen and what about major radar gaps?  (01:15:00) The Astronomy Outlook with Tony Rice (01:23:45) This Week in Tornado History With Jen (01:26:45) E-Mail Segment (01:29:00) Sneak peak at future WeatherBrains episodes! (01:32:00) and more! Web Sites from Episode 1074:   Tornado Archive Climavision Alabama Weather Network Picks of the Week: James Aydelott - Okie James on Facebook: Plume from oil/gas tank fire caused by lightning strike Jen Narramore - 7 dead from historic flooding in Indiana Rick Smith - Norman microburst timelapse Troy Kimmel - Foghorn Kim Klockow-McClain - Hurricane Lala Hawaii Damage John Gordon - NASA Ocean Current Simulation Bill Murray - Out James Spann - Foghorn The WeatherBrains crew includes your host, James Spann, plus other notable geeks like Troy Kimmel, Bill Murray, Rick Smith, James Aydelott, Jen Narramore, John Gordon, and Dr. Kim Klockow-McClain. They bring together a wealth of weather knowledge and experience for another fascinating podcast about weather.

Nick and Tyler bring Shane Durkin back, with Brad Leavitt joining the conversation, to challenge one of construction's most persistent problems: how project money moves and who should actually carry the financial risk. They get into deposits, escrow accounts, credit card rewards, cost-plus construction, project-level accounting, lien waivers, trade payments, and the hidden complexity that comes from running millions of dollars of client funds through a builder's business.  Shane explains how LedgerWise separates project finances into their own accounts while Brad, Nick, and Tyler push on the tradeoffs, risks, and real-world practicality of the model. Ultimately, the conversation asks whether builders should be spending their energy managing cash flow and financial workarounds at all, or whether a simpler system could let them get back to building.    From Contractor to Company Workshop: https://www.moderncraftsman.co/workshop-registration Sign up for the Modern Craftsman Community:

Download Gary's 13 Keys to Creating a Multi-Million Dollar Business from https://www.DitchDiggerCEO.com/Darren Bailey and Aaron Del Mar are entrepreneurs, business builders, and candidates running for Governor and Lieutenant Governor. Darren, a third-generation farmer, trucker, and excavator operator from Southern Illinois, built his operations alongside his family through hard work, accountability, and grit. Aaron, who started as a solo entrepreneur on the North Side of Chicago, scaled his event management business into a national operation employing over 350 people across 40 cities. Together, they bring a hands-on understanding of what it takes to make payroll, navigate complex regulatory environments, and create lasting enterprise value.In this conversation with Gary Rabine, Darren and Aaron detail their campaign stances, economic plans, and vision for governance. Drawing from their experiences as "ditch-digger CEOs," they outline their strategies for capping property taxes, cutting corporate red tape, rebuilding public safety, and bringing job creators back to the state.In this episode, Gary, Darren, and Aaron discuss:The Campaign Stance: Why business owners and job creators are uniquely equipped to fix government mismanagment  The Economic Plan: Lowering property and corporate taxes to attract business and expand the overall tax base  The Three Pillars: Rebuilding communities around affordability, public safety, and educational reform  The "Team of Rivals" Model: Surrounding leadership with best-in-class experts rather than political patronage Websites: https://baileyforillinois.com/ Connect with Gary Rabine and DDCEO on: Website: https://www.DitchDiggerCEO.com/ Instagram: https://www.instagram.com/DitchDiggerCEOTikTok: https://www.tiktok.com/@ditchdiggerceopodcast Facebook: https://www.facebook.com/DitchDiggerCEOTwitter: https://twitter.com/DitchDiggerCEO YouTube: https://www.youtube.com/@ditchdiggerceo

What if carbon dioxide could offer beekeepers another way to control Varroa mites? In this episode, Jeff Ott and Becky Masterman talk with award-winning high school researcher Aakash Manaswi, whose multi-year research project investigates using carbon dioxide (CO₂) as a treatment against Varroa mites. Aakash traces his interest in honey bees back to a childhood visit to an apiary, where a beekeeper explained how Varroa was affecting his colonies. That encounter eventually led Aakash to ask whether there might be another way to tackle the parasite. Aakash explains the development of his CO₂ treatment prototype—a hive-top device that distributes carbon dioxide throughout a colony. His research progressed from laboratory testing of different CO₂ concentrations to prototype development and field trials comparing the approach with existing treatments. He discusses the 30% CO₂ concentration used in his research, treatment timing, effects on phoretic mites, and some of the important limitations that still need to be investigated. The conversation also explores Aakash's AI-based system for counting Varroa mites on sticky boards, his work with mentors at 3M, USDA, and the University of Florida, and where he hopes to take the research next. Aakash's work earned first place in Animal Sciences at the Regeneron International Science and Engineering Fair and the Peggy Scripps Award for Science Communication. Before the interview, Jeff and Becky answer a listener question about another emerging tool for beekeepers: artificial intelligence. They discuss where AI can be genuinely useful—and why beekeepers should still question its answers, check its sources, and remember that sometimes the best answer in beekeeping remains, "It depends." Websites from the episode and others we recommend: Aakash's Science Project: https://isef.net/project/anim005-capturable-carbon-dioxide-to-save-our-bees Regeneron ISEF Grand Awards: https://www.societyforscience.org/blog/regeneron-isef-2026-grand-awards/ Honey Bee Health Coalition: https://honeybeehealthcoalition.org Project Apis m. (PAm): https://www.projectapism.org The National Honey Board: https://honey.com Honey Bee Obscura Podcast: https://honeybeeobscura.com   Copyright © 2026 by Growing Planet Media, LLC     ______________ Betterbee is the presenting sponsor of Beekeeping Today Podcast. Betterbee's mission is to support every beekeeper with excellent customer service, continued education and quality equipment. From their colorful and informative catalog to their support of beekeeper educational activities, including this podcast series, Betterbee truly is Beekeepers Serving Beekeepers. See for yourself at www.betterbee.com This episode is brought to you by Global Patties! Global offers a variety of standard and custom patties. Visit them today at http://globalpatties.com and let them know you appreciate them sponsoring this episode!  As a beekeeper, you want products that benefit you and your bees. When you choose Premier Bee Products, you choose hive components that are healthier for bees and more productive for you. Because we believe that in beekeeping, details make all the difference. Premier Bee Products: Better for bees. Better for beekeepers. Use promo code PODCAST for 10% off your next online order. Thanks to Strong Microbials for their support of Beekeeping Today Podcast. Find out more about their line of probiotics in our Season 3, Episode 12 episode and from their website: https://www.strongmicrobials.com HiveIQ is revolutionizing the way beekeepers manage their colonies with innovative, insulated hive systems designed for maximum colony health and efficiency. Their hives maintain stable temperatures year-round, reduce stress on the bees, and are built to last using durable, lightweight materials. Whether you're managing two hives or two hundred, HiveIQ's smart design helps your bees thrive while saving you time and effort. Learn more at HiveIQ.com. We'd like to thank Vita Bee Health for supporting the podcast. Vita provides proven tools for controlling Varroa—from Apistan and Apiguard to the new VarroxSan extended-release oxalic acid strips—helping beekeepers keep stronger, healthier colonies. Thanks for Northern Bee Books for their support. Northern Bee Books is the publisher of bee books available worldwide from their website or from Amazon and bookstores everywhere. They are also the publishers of The Beekeepers Quarterly and Natural Bee Husbandry. _______________ We hope you enjoy this podcast and welcome your questions and comments in the show notes of this episode or: questions@beekeepingtodaypodcast.com Thank you for listening!  Podcast music: Be Strong by Young Presidents; Epilogue by Musicalman; Faraday by BeGun; Walking in Paris by Studio Le Bus; A Fresh New Start by Pete Morse; Wedding Day by Boomer; Christmas Avenue by Immersive Music; Red Jack Blues by Daniel Hart; Bolero de la Fontero  by Rimsky Music; Perfect Sky by Graceful Movement; I'm Not Running Away This Time by Max Brodie; Original guitar background instrumental by Jeff Ott. Beekeeping Today Podcast is an audio production of Growing Planet Media, LLC ** As an Amazon Associate, we may earn a commission from qualifying purchases Copyright © 2026 by Growing Planet Media, LLC

This Flashback Friday is from episode 1630, published last January 4, 2021. New Year, New Goals, Same proven asset class! Jason Hartman invites you to celebrate with him another fantastic year of prosperity for all real estate investors practicing some of Hartman's proven investment techniques. Following the celebration, we must look for the "what next" plan or goal. How do you build your goals? Do you write them down? Do you create realistically achievable goals?  Contest: jasonhartman.com/contest   Websites: jasonhartman.com/sweethome jasonhartman.com/protect JasonHartman.com JasonHartman.com/properties Jason Hartman Quick Start Jason Hartman PropertyCast (Libsyn) Jason Hartman PropertyCast (iTunes) 1-800-HARTMAN   _______________________________________________________________   Follow Jason on TWITTER, INSTAGRAM & LINKEDIN Twitter.com/JasonHartmanROI Instagram.com/jasonhartman1/ Linkedin.com/in/jasonhartmaninvestor/ Call our Investment Counselors at: 1-800-HARTMAN (US) or visit: https://www.jasonhartman.com/ Free Class:  Easily get up to $250,000 in funding for real estate, business or anything else: http://JasonHartman.com/Fund CYA Protect Your Assets, Save Taxes & Estate Planning: http://JasonHartman.com/Protect Get wholesale real estate deals for investment or build a great business – Free Course: https://www.jasonhartman.com/deals Special Offer from Ron LeGrand: https://JasonHartman.com/Ron Free Mini-Book on Pandemic Investing: https://www.PandemicInvesting.com

The HR agent and The Interviewer meet! If the Interviewer manages to get out from under that avalanche of bric-a-brac that is... Websites: https://ameliapodcast.com https://www.implodingfictions.com Patreon: https://www.patreon.com/ameliapodcast Donations: https://ameliapodcast.com/support Merch: https://ameliapodcast.dashery.com Bluesky: https://bsky.app/profile/theameliaproject.bsky.social Instagram: https://www.instagram.com/ameliapodcast Tumblr: https://www.tumblr.com/ameliapodcast Learn more about your ad choices. Visit megaphone.fm/adchoices

Guest: Graciela KesslerMinistry: Grace By Design MinistriesRole: FounderBook: "Divine Tapestry: An Alphabetical Journey Through the Names, Nature, Titles, and Attributes of God"Websites: gracielakessler.com, gracebydesignministries.org

Guest: Rebecca TagumaMinistry: American Bible SocietyPosition: Executive Director of the Trauma Healing Institute, who also oversees Restoring Hope programTopic: an exploration of the connection between Scripture and its application to mental health, including traumaWebsites: traumahealinginstitute.org, americanbible.org

UFOs have escaped the fringe. With TIME declaring “The New Case for Aliens,” filmmaker and MUFON Media Relations Director Ron James joins Richard Syrett to examine the state of Disclosure, emerging government files, scientific acceptance, and the bigger question: Are we witnessing genuine transparency—or a carefully managed narrative? GUEST: Ron James is an award-winning filmmaker, investigative researcher, and Media Relations Director for the Mutual UFO Network (MUFON). He is the creator of the acclaimed Accidental Truth documentary series, exploring the evidence surrounding UAPs and the political, scientific, intelligence, and cultural forces shaping the Disclosure debate. His work asks a question increasingly central to the UFO mystery: Who controls what the public is allowed to know? WEBSITES: https://www.facebook.com/RonJamesTelevision https://www.accidentaltruthnext.com/ FILMS: Accidental Truth Accidental Truth: Next FOLLOW RICHARD Website: https://www.strangeplanet.ca YouTube: @strangeplanetradio Instagram: @richardsyrettstrangeplanet TikTok: @therealstrangeplanet SUPPORT OUR SPONSORS!!! HIMS Weight Loss By HIMS -HIMS now offers access to an affordable range of FDA-approved GLP-1 medications, including the Wegovy® pill and the Wegovy® pen. Ready to reach your goals? Visit hims.com/strangeplanet to get a personalized, affordable plan that gets you. MARS MEN Mars Men helps you reclaim your edge with natural testosterone support for energy, focus, and strength Go to MenGoToMars.com right now, for a limited time, listeners of this program get 50% off for life, plus free shipping AND 3 free gifts. QUINCE Luxury, European linen that gets softer with every wash! Turn up the luxury when you turn in with Quince. Go to Quince dot com slash RSSP for free shipping on your order and 365-day returns. Now available in Canada, too. CARGURUS CarGurus is the #1 rated car shopping app in Canada on the Apple App and Google Play store. They've got hundreds of thousands of cars from top-rated dealers, plus advanced search tools that let you zero in on exactly what you want. And you can set real-time alerts for price drops and new listings — so you never miss a great deal. Buy your next car today with CarGurus at cargurus dot ca. Go to cargurus dot ca to make sure your big deal is the best deal. ⁠ BECOME A PREMIUM SUBSCRIBER!!!⁠ ⁠https://strangeplanet.supportingcast.fm⁠ Three monthly subscriptions to choose from. Commercial Free Listening, Bonus Episodes and a Subscription to my monthly newsletter, InnerSanctum. Visit ⁠https://strangeplanet.supportingcast.fm⁠ Use the discount code "Planet" to receive $5 OFF any subscription. We and our partners use cookies to personalize your experience, to show you ads based on your interests, and for measurement and analytics purposes. By using our website and services, you agree to our use of cookies as described in our Cookie Policy. Learn more about your ad choices. Visit ⁠megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://strangeplanet.supportingcast.fm/

What is Got Questions Ministries all about? What other websites are there beyond GotQuestions.org? What are all of the different websites, app, outreaches, and resources of Got Questions Ministries?

In this episode, Stephen Seckler speaks with Michele Correnti about branding, websites, LinkedIn, content marketing, and how AI is changing the way law firms market themselves. They discuss  what lawyers should do before and after launching a solo or small firm to build visibility, attract the right clients, and stay top of mind with referral sources. Michele Correnti, founder and CEO of Correnti Marketing, shares practical advice drawn from years of working with law firms and other professional service businesses. If you're thinking about launching a practice or rethinking your firm's online presence, this conversation is packed with tactical guidance. Key Takeaways Branding is more than a logo. Start marketing before launch day. Specificity attracts better clients. Niches can expand opportunity. Personal branding matters. LinkedIn should be used strategically. Websites should reflect the real audience. AI is a tool, not a replacement. Timestamps 00:00 - Why legal marketing matters after launching a firm 00:48 - Why potential clients won't find you automatically 01:16 - Michele Correnti's background in professional services marketing 03:43 - Photography, headshots, and visual branding 05:15 - What to do six months before leaving a firm 07:50 - Why your brand is really your reputation 09:16 - Using an ideal client to sharpen your message 16:04 - Personal LinkedIn profiles versus company pages 19:15 - How AI is changing SEO and search visibility 23:00 - Common online presence mistakes lawyers make 27:09 - Launching a firm as a coordinated campaign 32:58 - Where AI helps and where the human voice still matters 37:17 - The risks and opportunities of AI-generated images 40:47 - Three marketing priorities for the first 90 days

Every coach says the same thing when the business isn't moving. "I need more leads." And it sounds logical, it sounds actionable, it sounds like something you can actually fix. The problem is that it's almost never true, and building a strategy around the wrong diagnosis is one of the fastest ways to stay stuck.This is the first episode in a new series where Adam Roach and Jess Webber take on the most common problems coaches name when their businesses aren't growing, and then make the case that those aren't the real problems at all. It picks up naturally from where the "Is This Actually Yours?" series left off. Once you've done the identity work, once you've started noticing what's borrowed and what's genuinely yours, you still need to figure out what's actually blocking growth. And most coaches are diagnosing that wrong.Adam opens with the one thing he hears constantly: coaches believe they need more leads. More followers, more reach, more visibility. Jess counters with the math, because the math is actually clarifying. If you're building a one-on-one practice and targeting ten clients with even a conservative 20% close rate, you need 50 people. And you almost certainly know 50 people, or know people who know 50 people, who fit your ideal client profile. The "leads" problem isn't a quantity problem. It's a perspective problem. You're looking at your pipeline transactionally instead of relationally.Adam names it simply: you're not looking at leads wrong, you're looking at them wrong. The moment you shift from transactional to relational, the people who are already in your world stop looking like strangers and start looking like opportunities.From there, the conversation moves to the second thing coaches name: tech. Websites, funnels, platforms, tools. Jess has strong feelings about this one (fair warning: she's spicy). Adam built a multi-million dollar coaching business without a website. Jess has a website she built because she likes learning to build websites, not because it's ever brought her a client. The coaching industry has a deep and expensive obsession with tech as a proxy for authority, and it isn't. A text from a client you've gotten real results for does more for your pipeline than any Manus-generated website with an italicized serif font and a hero image.The third misconception is audience size. How many followers you have, how many channels you're on, what your subscriber count looks like. Vanity metrics don't build pipelines. One specific person seeing content that was made exactly for them is worth more than a thousand passive followers who vaguely relate to you.Adam and Jess close the episode by announcing Pack Your Pipeline, a live event specifically designed to help coaches move from the misconception to the solution. Details are still in progress, but if you want to be notified when registration opens, DM "PYP" to Adam or Jess on Instagram.Part 2 of this series will name what the actual problem is.What you'll take away from this episode:Why "I need more leads" is almost always a misdiagnosis, and what to ask yourself insteadThe Pareto Principle applied to coaching pipelines, and why the math is more encouraging than you thinkWhy coaches look at their leads transactionally when the business actually runs on relational thinkingWhy a tech stack gives you the feeling of progress without actually moving your pipelineWhy vanity metrics (followers, subscribers, channel count) have almost nothing to do with whether you sign clientsWhy showing up on fewer channels, more authentically, matters more than showing up everywhereWhat algorithm behavior tells you about selling in your content (and why it's working against you)Notable Quote: "You don't need leads. You don't know what your problem is, and you don't know how to use the pond you're already in." -- Jess WebberResources Mentioned:The Goldfinch by Donna Tartt (referenced by Adam, currently reading)Pack Your Pipeline event: DM "PYP" to @adamrroach or @thejesswebber on Instagram to get the registration link ILC community: ilovecoachingco.comInstagram: @ilovecoachingco / @adamrroach / @thejesswebberYouTube: youtube.com/@ilovecoachingcoTimestamps: [00:00] Intro: what this new series is about [01:00] What coaches say their problem is: leads [02:00] Why "I need leads" is almost never true [02:48] The Pareto Principle and the pipeline math [04:23] Leads as transactional vs. relational thinking (Adam's reframe) [06:10] Adam's wife and the art of being a relationship depositor [07:02] Jess: "You don't know the pond you're already in" [08:17] The second perceived problem: tech [10:39] What "tech" actually means (websites, funnels, platforms) [11:05] Adam: how he built a multimillion dollar business without a website [12:15] Why AI-generated websites hurt more than they help [15:55] Tech as imposter syndrome cover [16:45] The third perceived problem: audience size and channels [17:00] Why coaches try to be everywhere at once [18:48] Jess's channel: 971 Instagram followers, 400+ podcast listeners [19:31] Vanity metrics vs. a filled pipeline [20:20] How to actually use a channel (stop selling on social) [24:00] Adam announces Pack Your Pipeline event [25:48] How to get on the PYP notification list [27:17] Part 2 preview: what the actual problem isJoin the Community: If you're a coach who's been pouring energy into things that aren't moving your business, you are not alone and you are not broken. The ILC community is where coaches go to stop guessing and start building something that actually works. ilovecoachingco.com/discover

This week's WeatherBrains episode is all about Hawaii. Joining us tonight as Guest WeatherBrain is the Chief Meteorologist at Hawaii News Now.  She has given over 15 years of service and has provided trusted coverage for the Hawaiian Islands including tropical cyclones, earthquakes, tsunamis, fires, and other natural disasters.  She earned her Bachelor's degree in Atmospheric Ocean Science at San Fransisco State University.  Jennifer Robbins, welcome to WeatherBrains! Tonight's Guest Panelist is the Warning Coordination Meteorologist (WCM) at the NWS office in Honolulu.  He works Statewide with a wide variety of partners and earned his Bachelor of Science in Atmospheric Sciences from the University of Michigan in 1998.  He started at NWS Marquette MI in 1999, and has worked with the NWS Honolulu since 2006, and the WCM since 2017.  John Bravender, thanks for joining us tonight! Our email officer Jen is continuing to handle the incoming messages from our listeners. Reach us here: email@weatherbrains.com. Jennifer's early weather background (10:00) John's early weather background (15:30) What exactly is it like to forecast for the State of Hawaii?  (18:00) Difficulties forecasting with Hawaiian microclimates (20:00) Employee organization at NWS Honolulu (25:30) Torrential rainfall and major flooding in Hawaii caused by Kona lows (33:00) What exactly is a Kona low?  (42:30) What happened to the Central Pacific Hurricane Center? (49:00) 1992's Hurricane Iniki (50:00) Introduction of chickens to Hawaii in the wake of Hurricane Iniki (53:30) Fire weather threats and how it has changed in recent years (58:30) Tsunami risks and concerns in Hawaii (01:07:45) Warning protocol in the State of Hawaii regarding tsunamis and severe weather (01:19:30) The Astronomy Outlook with Tony Rice (01:25:30) This Week in Tornado History With Jen (01:27:30) E-Mail Segment (01:29:00) Sneak peak at future WeatherBrains episodes! (01:31:30) and more! Web Sites from Episode 1073:   Hawaii News Now First Alert Weather Honolulu, HI NWS Forecast Office Alabama Weather Network Picks of the Week: John Bravender - Homeowner's Handbook to Prepare for Natural Hazards James Aydelott - Okie James on Facebook: In 1936, the start of a truly hideous stretch of never-seen-since Summer weather in Tulsa Jen Narramore - Dyer County Historical Society Rick Smith - Out Troy Kimmel - Out Kim Klockow-McClain - Population structure and hybridisation in a population of Hawaiian feral chickens John Gordon - LoriGraceWX Monsoon Photography Bill Murray - Out James Spann - Proposed changes to WPC's Excessive Rainfall Outlook The WeatherBrains crew includes your host, James Spann, plus other notable geeks like Troy Kimmel, Bill Murray, Rick Smith, James Aydelott, Jen Narramore, John Gordon, and Dr. Kim Klockow-McClain. They bring together a wealth of weather knowledge and experience for another fascinating podcast about weather.

What if the next valuable asset isn't a house or stock, but a neglected website hiding in plain sight? AI has created an internet-scale opening for people who learn to treat websites and online businesses like digital property instead of simply technology. Join Brad Friedman and Matt Raad as they explore why AI and the borderless internet could create the next major online wealth opportunity, and how everyday professionals can start small, build practical digital skills, and pursue cash flow and equity without massive capital or technical expertise. Visit thedigitalslicepodcast.com for complete show notes of every podcast episode. The Digital Slice Podcast is brought to you by Magai. Up your AI game at https://friedmansocialmedia.com/magai. And, if it's your first time purchasing, use BRAD30 at checkout to get 30% off your first 3 months.

Small-business websites used to have a straightforward job: explain who you are, what you offer, and how customers can contact you. Then search became a major source of discovery, and businesses added keyword-focused pages, blogs, technical SEO, and local listings. Now AI Overviews and zero-click search are changing the equation again. Does that mean blogs and traditional websites are dead? Matt and Mike argue that they are still essential - but they are no longer the whole strategy. In this episode, they break the modern small-business website into three layers: a trustworthy digital brochure, a discovery engine, and a useful tool. They explore how calculators, product selectors, rankings, schedules, availability checkers, and other “micro-app” pages can give real customers a reason to visit, return, and take action. They also explain why businesses should preserve existing content and link equity, measure what works, and build the new layer gradually instead of throwing everything out. Show Notes: https://www.htmlallthethings.com/podcast/small-business-websites-need-to-do-more-than-exist Use our Scrimba affiliate link (https://scrimba.com/?via=htmlallthethings) for a 20% discount!! Full details in show notes.

We've spent the last month vibe coding our own corners of the internet. The Verge's Jake Kastrenakes and Hayden Field join David to talk about their use of Gemini, Codex, and Claude Code to build 90s-themed personal websites, vegetable-sharing systems, and photo boards. It wasn't always easy, and we didn't get everything done, but with a little AI and a lot of prompting, we made it work. Further reading: Four takeaways from Mark Zuckerberg's massive AI manifesto | The Verge The first rival Android app store just arrived in the US Play Store | The Verge Space mirrors could ruin astronomy — and your eyes | The Verge Claude has been having a moment — can it keep it up? | The Verge The vibe-coding AI future is both exciting and terrifying | The Verge Welcome to the personal software revolution | The Verge Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

What is the current state of honey bee health in the United States? Recorded live at the Tri-States Beekeeping Conference in Fargo, North Dakota, Jeff Ott and Dr. Becky Masterman moderate a lively panel discussion featuring Randy Oliver, Jackie Park-Burris, Dr. Katie Lee, and Dr. Rogan Tokash. The conversation explores the biggest challenges facing beekeeping today—from Varroa mite resistance and evolving treatment strategies to honey bee nutrition, forage loss, pesticide exposure, queen breeding, and the economic pressures confronting commercial beekeepers. The panel also discusses the importance of applied research, the future of almond pollination, and why collaboration between researchers and beekeepers remains essential. Audience questions expand the discussion into pesticide impacts, carrying capacity for honey bees, beginning beekeepers and mite management, and what gives these experts hope for the future of honey bee health. Whether you manage two colonies or thousands, this conversation offers valuable insight into the challenges—and opportunities—shaping modern beekeeping. Websites from the episode and others we recommend: Honey Bee Health Coalition: https://honeybeehealthcoalition.org Project Apis m. (PAm): https://www.projectapism.org The National Honey Board: https://honey.com Honey Bee Obscura Podcast: https://honeybeeobscura.com   Copyright © 2026 by Growing Planet Media, LLC     ______________ Betterbee is the presenting sponsor of Beekeeping Today Podcast. Betterbee's mission is to support every beekeeper with excellent customer service, continued education and quality equipment. From their colorful and informative catalog to their support of beekeeper educational activities, including this podcast series, Betterbee truly is Beekeepers Serving Beekeepers. See for yourself at www.betterbee.com This episode is brought to you by Global Patties! Global offers a variety of standard and custom patties. Visit them today at http://globalpatties.com and let them know you appreciate them sponsoring this episode!  As a beekeeper, you want products that benefit you and your bees. When you choose Premier Bee Products, you choose hive components that are healthier for bees and more productive for you. Because we believe that in beekeeping, details make all the difference. Premier Bee Products: Better for bees. Better for beekeepers. Use promo code PODCAST for 10% off your next online order. Thanks to Strong Microbials for their support of Beekeeping Today Podcast. Find out more about their line of probiotics in our Season 3, Episode 12 episode and from their website: https://www.strongmicrobials.com HiveIQ is revolutionizing the way beekeepers manage their colonies with innovative, insulated hive systems designed for maximum colony health and efficiency. Their hives maintain stable temperatures year-round, reduce stress on the bees, and are built to last using durable, lightweight materials. Whether you're managing two hives or two hundred, HiveIQ's smart design helps your bees thrive while saving you time and effort. Learn more at HiveIQ.com. We'd like to thank Vita Bee Health for supporting the podcast. Vita provides proven tools for controlling Varroa—from Apistan and Apiguard to the new VarroxSan extended-release oxalic acid strips—helping beekeepers keep stronger, healthier colonies. Thanks for Northern Bee Books for their support. Northern Bee Books is the publisher of bee books available worldwide from their website or from Amazon and bookstores everywhere. They are also the publishers of The Beekeepers Quarterly and Natural Bee Husbandry. _______________ We hope you enjoy this podcast and welcome your questions and comments in the show notes of this episode or: questions@beekeepingtodaypodcast.com Thank you for listening!  Podcast music: Be Strong by Young Presidents; Epilogue by Musicalman; Faraday by BeGun; Walking in Paris by Studio Le Bus; A Fresh New Start by Pete Morse; Wedding Day by Boomer; Christmas Avenue by Immersive Music; Red Jack Blues by Daniel Hart; Bolero de la Fontero  by Rimsky Music; Perfect Sky by Graceful Movement; I'm Not Running Away This Time by Max Brodie; Original guitar background instrumental by Jeff Ott. Beekeeping Today Podcast is an audio production of Growing Planet Media, LLC ** As an Amazon Associate, we may earn a commission from qualifying purchases Copyright © 2026 by Growing Planet Media, LLC

As SURFACE NOISE moved into the BONUS TRAX segment, we return back from the border to hear about recent travels and record store exploration in new places from a couple members of the dais, and the records they rescued along the way. From there the discussion turns to a couple new areas that may be helpful in tracking down the black wax gold we need to scratch that record collecting itch. Are these websites + apps valuable resources in tracking down hard to find records, or just the latest attempts to claw a little bit of the throne from Discogs? Listen + Discover + Decide for Yourself. Links below.   ⤵️⤵️⤵️⤵️⤵️⤵️   Check out Dead Format here: https://deadformat.com/   Check out Flipped.FM here: https://flipped.fm   For more on host Concert Buddie: https://www.youtube.com/@ConcertBuddie https://concertbuddie.com IG: @concertbuddie   For more on guest Nick and his record store Resurrected Records: https://resurrectedrecords.ca IG: @resurrecords   For more on one of our favorite VC Canadians, Rob (Northern Revolutions): https://www.youtube.com/@NorthernRevolutions IG: northern_revolutions   For more guest Kendall (aka Spin Doctor and His Vinyl Mayhem): https://www.youtube.com/@spindoctorandhisvinylmayhem   For more on guest Joel (Static ATX Records): https://staticatx.com https://www.youtube.com/@staticatx IG: staticatxrecords   And our returning champion, Arnaldo (Fidelios_Frequency): https://www.youtube.com/@fidelios_frequency IG: @fidelios_frequency   For more information on Vinyl Community Podcasts: https://vinylcommunitypodcasts.com   . . . .   Don't forget to visit FOTS (friends of the show) Vinyl Storage Solutions for the BEST sleeves to protect your best records (and your worst). Save 10% using the code(s) below: VCP10   For more information on the Spinz Vinyl App for IOS and taking your collecting game to the next level, get your free download here:  https://apps.apple.com/us/app/spinz-vinyl-record-scanner/id6758249212  

This week Peter & Mike have a design discussion about if you should use websites or apps in your game design. _________________________ YouTube - www.youtube.com/channel/UCrOtGhui_jdLdoQNI7PU4Pg X - @onestopcoopshop Discord - discord.gg/p4jX8AF Merch: one-stop-co-op-shop.creator-spring.com/ Donate to One Stop Co-op Shop - www.patreon.com/onestop Email - onestopcoopshop@gmail.com

Former heavyweight boxing champion David "Nino" Rodriguez has survived brutal fights, brushes with death, and a life-altering spiritual awakening. Now, as host of Nino's Corner, he's battling on a different front—truth, faith, and spiritual warfare. Richard Syrett explores the hidden war for humanity's soul in this riveting conversation. GUEST: David "Nino" Rodriguez is a former heavyweight boxing champion turned podcaster and truth-seeker. As host of Nino's Corner, he interviews whistleblowers, intelligence insiders, pastors, journalists, and researchers on government secrecy, AI, UFOs, media manipulation, and spiritual warfare. His remarkable journey from the boxing ring to the front lines of the information battle has made him one of independent media's most provocative voices. WEBSITES: https://www.davidninorodriguez.co https://ninoscorner.tv YOUTUBE: https://www.youtube.com/@NinosCorner FOLLOW RICHARD Website: https://www.strangeplanet.ca YouTube: @strangeplanetradio Instagram: @richardsyrettstrangeplanet TikTok: @therealstrangeplanet SUPPORT OUR SPONSORS!!! MARS MEN Mars Men helps you reclaim your edge with natural testosterone support for energy, focus, and strength Go to MenGoToMars.com right now, for a limited time, listeners of this program get 50% off for life, plus free shipping AND 3 free gifts. QUINCE Luxury, European linen that gets softer with every wash! Turn up the luxury when you turn in with Quince. Go to Quince dot com slash RSSP for free shipping on your order and 365-day returns. Now available in Canada, too. CARGURUS CarGurus is the #1 rated car shopping app in Canada on the Apple App and Google Play store. They've got hundreds of thousands of cars from top-rated dealers, plus advanced search tools that let you zero in on exactly what you want. And you can set real-time alerts for price drops and new listings — so you never miss a great deal. Buy your next car today with CarGurus at cargurus dot ca. Go to cargurus dot ca to make sure your big deal is the best deal. ⁠ BECOME A PREMIUM SUBSCRIBER!!!⁠ ⁠https://strangeplanet.supportingcast.fm⁠ Three monthly subscriptions to choose from. Commercial Free Listening, Bonus Episodes and a Subscription to my monthly newsletter, InnerSanctum. Visit ⁠https://strangeplanet.supportingcast.fm⁠ Use the discount code "Planet" to receive $5 OFF any subscription. We and our partners use cookies to personalize your experience, to show you ads based on your interests, and for measurement and analytics purposes. By using our website and services, you agree to our use of cookies as described in our Cookie Policy. Learn more about your ad choices. Visit ⁠megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://strangeplanet.supportingcast.fm/

If a reader Googled your name right now, what would come up? An abandoned LinkedIn profile from a career you left behind? A neglected Goodreads page? An insurance agent in Albuquerque who happens to share your name?There's only one number-one spot on Google,  and if you don't claim it for your name, someone else will. The good news is that your most powerful tool for winning that spot is the one piece of the internet you fully control. It's your author website.In this week's episode, you'll hear from Jason Barnard, digital marketing expert who has spent more than a decade teaching Google and AI who people are.You'll learn:The overlooked page on your website that Google checks first.The Wikipedia alternative that is easier to write and curateHow you can get Jason's robust SEO audit of your site, for freeWhether your website needs a little fine tuning or you're building one for the first time, listen in or check out the blog version to find out what you should prioritize and what you can stop stressing about.Blog link: https://www.authormedia.com/seo-for-author-websites-the-only-guide-you-need-in-2026/AuthorMedia.social link:YouTube Link: https://youtu.be/PNpmOklWm8MSupport the show