Podcasts about statistical

Got Questions?⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://calendly.com/conrad-rodriguez/30-minute-coaching-session⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Get THE BEST PENIS EXTENDER ON THE MARKET! ⁠⁠⁠⁠CLICK HERE⁠⁠⁠⁠

In this week's episode, the hosts talk to Darren about how statistics underlies all other areas of maths. This episode features its uses in dynamical systems, what it means to be Bayesian and why (almost!) every programming language needs to be improved.

This is a link post. Thank you to Arepo and Eli Lifland for looking over this article for errors. I am sorry that this article is so long. Every time I thought I was done with it I ran into more issues with the model, and I wanted to be as thorough as I could. I'm not going to blame anyone for skimming parts of this article. Note that the majority of this article was written before Eli's updated model was released (the site was updated june 8th). His new model improves on some of my objections, but the majority still stand. Introduction: AI 2027 is an article written by the “AI futures team”. The primary piece is a short story penned by Scott Alexander, depicting a month by month scenario of a near-future where AI becomes superintelligent in 2027,proceeding to automate the entire economy in only [...] ---Outline:(00:45) Introduction:(05:27) Part 1: Time horizons extension model(05:33) Overview of their forecast(10:23) The exponential curve(13:25) The superexponential curve(20:20) Conceptual reasons:(28:38) Intermediate speedups(36:00) Have AI 2027 been sending out a false graph?(41:50) Some skepticism about projection(46:13) Part 2: Benchmarks and gaps and beyond(46:19) The benchmark part of benchmark and gaps:(52:53) The time horizon part of the model(58:02) The gap model(01:00:58) What about Eli's recent update?(01:05:19) Six stories that fit the data(01:10:46) ConclusionThe original text contained 11 footnotes which were omitted from this narration. --- First published: June 19th, 2025 Source: https://forum.effectivealtruism.org/posts/KgejNns3ojrvCfFbi/a-deep-critique-of-ai-2027-s-bad-timeline-models Linkpost URL:https://titotal.substack.com/p/a-deep-critique-of-ai-2027s-bad-timeline --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

DuckTerritory's Matt Prehm and Erik Skopil convene to set the stage for what could be a very exciting close to the month of June on the recruiting trail. Then they turn their attention to who could lead the team in certain stats this fall. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Munaf Manji and Mackenzie Rivers talk NBA Finals Game 5 betting. best bets as always. The latest episode of RJ Bell's Dream Preview podcast features Munaf Manji and Mackenzie Rivers breaking down Game 5 of the 2025 NBA Finals and pivotal offseason developments. They begin by analyzing the Desmond Bane trade, where Memphis sent Bane to Orlando for Kentavious Caldwell-Pope, Cole Anthony, four unprotected first-round picks, and a pick swap. The Magic, previously last in the league in three-point percentage and makes, addressed a dire shooting need. While Bane strengthens the backcourt alongside Paolo Banchero and Franz Wagner, both hosts agree Orlando still lacks a true playmaker to fully optimize the roster. Turning to Memphis, the trade signals a possible rebuild despite the Grizzlies surpassing expectations last season with a +5 net rating. The franchise had already fired head coach Taylor Jenkins. Ja Morant, despite off-court controversies, recorded his best statistical season per estimated plus-minus, but trade value concerns and injury history complicate future decisions. Jaren Jackson Jr., on a one-year deal, might be easier to move but would likely require a max extension. Mackenzie suggests Memphis may be following Oklahoma City's “draft capital” model to rebuild in a Western Conference crowded with rising powers like the Thunder, Mavericks, and Spurs. The conversation shifts to Kevin Durant's future. Odds favor Minnesota, Miami, Houston, and San Antonio as potential trade destinations. Mackenzie argues Houston offers the best fit, balancing defense and the need for a closer. The Rockets' roster is full of youth and effort but lacks a go-to scorer in crunch time. However, Munaf notes the potential cost—losing Jalen Green, Jabari Smith, or Cam Whitmore—may be steep for an aging Durant with limited prime years remaining. Both agree that while the trade could elevate Houston, it does not guarantee championship contention. In analyzing Game 5 of the NBA Finals, the Thunder return home with the series tied 2–2 and are listed as 9.5-point favorites. Game 4 was pivotal—Oklahoma City finally covered a road playoff game, aided by Shea Gilgeous-Alexander's late-game scoring surge. The Pacers attempted a record number of full-court press possessions, forcing OKC to shift SGA off-ball. This change, emphasizing scoring over playmaking, resulted in SGA posting zero assists. His potential assists have dropped from 15.3 earlier in the playoffs to just 10.3 in the Finals. Mackenzie recommends betting under 6.5 assists for SGA in Game 5. Statistical betting trends further back the Thunder. Teams favored by eight or more points at home in a tied 2–2 playoff series are 20–2 straight up and 17–5 against the spread. Historically, such teams cover at a 62 percent rate in Game 5 scenarios. Munaf adds that OKC is 9–2 straight up and 8–3 ATS at home this postseason, further reinforcing confidence in them to win and cover. Among player props, Aaron Neesmith is spotlighted for Indiana. He's averaging 15.4 points per game in road contests this postseason. Munaf recommends the over on both his points and three-point props, noting his consistency when Halliburton struggles to create. The episode closes by revisiting odds and possible futures for Durant and the teams in play. With the draft looming on June 25, both hosts suggest the next big move could come sooner than expected. Game 6 will shift back to Indiana, but Game 5 is set to be decisive. Listeners are offered a promo code for discounted picks, and the hosts preview a busy offseason ahead. Learn more about your ad choices. Visit megaphone.fm/adchoices

David Samson: Guardians' record a 'mirage'; team is still bucking statistical trends full 1016 Thu, 05 Jun 2025 13:11:07 +0000 JILxRGB2LWvaS8XGevp7LjKEY6HdSFe8 mlb,cleveland guardians,sports The Ken Carman Show with Anthony Lima mlb,cleveland guardians,sports David Samson: Guardians' record a 'mirage'; team is still bucking statistical trends The only place to talk about the Cleveland sports scene is with Ken Carman and Anthony Lima. The two guide listeners through the ups and downs of being a fan of the Browns, Cavaliers, Guardians and Ohio State Buckeyes in Northeast Ohio. They'll help you stay informed with breaking news, game coverage, and interviews with top personalities.Catch The Ken Carman Show with Anthony Lima live Monday through Friday (6 a.m. - 10 a.m ET) on 92.3 The Fan, the exclusive audio home of the Browns, or on the Audacy app. For more, follow the show on X @KenCarmanShow. 2024 © 2021 Audacy, Inc. Sports False https://

Deion Sanders spoke on his son Shedeur's drop in the draft and what he said was true, but Coach Prime needed to accept some fault in his words. Jed Wills may not play in 2025, although him saying it'shis choice probably doesn't hold much water. Mike Clay from ESPN does a statistical prediction for every NFL team so host Jeff Lloyd gives his thoughts on the numbers Clay predicts for the 2025 Cleveland Browns. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

What comes to mind at the start of summer? Backyard barbecues, quality time spent, and long drive. Transportation safety is the topic of this episode of Stats+Stories with guest Joel Greenhouse.

With more than two decades of experience at the intersection of biostatistics and biomedical imaging, Bracken Senior Partner Dr. David Raunig has been a driving force in biomarker development, validation, and regulatory strategy. From leading FDA biomarker qualification review teams to co-inventing imaging advancements and setting industry-wide standards through QIBA, David has played a pivotal role in defining how we measure—and trust—biological data in clinical trials.In this episode of Fractals: Life Science Conversations, David and host Colin Miller explore:What truly defines a biomarker—and how clinical outcome assessments differ from biological markers.Why the FDA's "context of use" is key to biomarker qualification and how to demonstrate that a biomarker measures what it's meant to.How the evolution of imaging—from WHO criteria to RECIST to AI-assisted reads—could transform how we assess tumor burden and therapeutic response.Statistical strategies for trial design and endpoint validation, and why QIBA's standardized imaging protocols are essential tools for trial sponsors.Tune in to Fractals on your favorite podcast platform, and connect with Bracken to learn how David and our experts can support your clinical trial strategy from biomarker planning to regulatory approval.

Every year, statistics classes are filled with math averse students who white knuckle it to the end of the semester in the hopes of getting a passing grade. And the dream of forgetting about math and statistics for a little while. But what if it didn't have to be that way? What if instead of white knuckling it, students were actually excited about the subject; or, at the very least, not terrified of it? Two professors has been developing strategies to help students get over their fear of “sadisistics” and that's the focus of this special two part episode Stats and Stories Hunter Glanz is an Associate Professor of Statistics and Data Science at California Polytechnic State University. He maintains a passion for machine learning and statistical computing, and enjoys advancing education efforts in these areas. In particular, Cal Poly's courses in multiple computing languages give him the opportunity to connect students with exciting data science topics amidst a firm grounding in communication of statistical ideas. Rhys Jones is an internationally recognized expert in statistical literacy and education, known for his leadership in curriculum development, digital learning, and student engagement. Originally trained in biochemistry and immunology, he transitioned to focus on making statistics more accessible and engaging for students and teachers across various education levels.

RJ Bell, Steve Fezzik, Scott Seidenberg and Mackenzie Rivers talk all things NBA playoffs. Plus, the guys discuss NFL Hard Knocks and give out best bets. In this podcast episode, RJ Bell and his expert panel analyze a historic NBA playoff collapse, strategic betting angles, and key NFL developments. The episode opens with a promotion for discounted picks at pregame.com, spotlighting successful handicappers like Dave Esler and Greg Shaker. The heart of the episode is the New York Knicks' unprecedented collapse against the Indiana Pacers in Game 1 of the Eastern Conference Finals. Scott Seidenberg recounts how the Knicks lost a 14-point lead in the final 2:45, with the Pacers scoring 23 points in 3:14—an NBA playoff record since 1997. Aaron Neesmith's six 3-pointers in the fourth quarter were the most in any playoff fourth quarter since 1997–98. The panel discusses the psychological and statistical impacts of this loss, with RJ questioning how such a collapse may affect the Knicks' mindset for the rest of the series. McKenzie Rivers and Steve Fezzik explore the zigzag theory in betting, revealing that Game 2's line moved from Knicks -4.5 to -6, despite the traumatic nature of Game 1's finish. Statistical trends support a potential Knicks bounce back: favorites after a Game 1 loss are 59% ATS since 2002, particularly dominant in first quarters. However, McKenzie notes this edge vanishes when teams are closely seeded. Despite the market showing confidence in New York, concerns linger over their seven-man rotation, fatigue after an overtime loss, and historical playoff struggles. RJ emphasizes the Knicks' tendency to crumble under high expectations, comparing this year to the pressure-filled 1994 and 1999 Knicks teams. Attention then shifts to the Oklahoma City Thunder, who dominated the Minnesota Timberwolves in Game 1. Anthony Edwards was held to 18 points and scoreless in the fourth quarter. The panel credits OKC's elite perimeter defense and deep roster. McKenzie highlights OKC's transition from regular-season darlings to playoff powerhouses, noting they lead the league in turnovers forced and have the lowest turnovers committed. Betting markets reflected OKC's strength; post-Game 1, their series odds jumped from -330 to -675, reflecting a 1–1.5 point market upgrade. In NFL coverage, the panel discusses two major Hard Knocks announcements: the Buffalo Bills will be featured in training camp, while the NFC East will be showcased during the regular season. They also debate the NFL's decision to retain the “tush push” after the Packers' failed attempt to ban it, with Fezzik estimating the Eagles would've been downgraded by half a point without it. Jalen Hurts' rushing TD prop even increased from 9.5 to 10.5 after the rule's preservation. The episode concludes with betting strategies across sports. RJ and Fezzik analyze the Rockies' historically bad MLB season, advocating for under 40 wins. They highlight Colorado's -160 run differential just a third into the season—on pace to break modern records. Additionally, they discuss the Tampa Bay Rays' skewed home-heavy schedule, recommending an under 77.5 wins bet as they face 59 road games in their final 97. The podcast closes with RJ teasing advanced NFL projection models and a “five-pack” of early NFL bets for next week. Learn more about your ad choices. Visit megaphone.fm/adchoices

Si is away so Darth hosts Hamzah and Barts to review the 2-2 draw with Arsenal. The lads discuss: Lineups and gameplanEvaluating the first choice front 3?Statistical game of 2 halvesStatspack - Possession, XG, XA, XT, Shots, Big Chances, Game State, Defensive Errors, Monte CarloCurtis Jones praiseConor Bradley deep diveArsenal adjustmentsPost-subs analysisThat Andy Robbo chance Statspack: https://drbarts.quarto.pub/match-day-36-season-2425 Learn more about your ad choices. Visit podcastchoices.com/adchoices

Join Jacob, Blake, and Brett as they discuss the logistics of hitting, which statistics are important, and the recent NBA Lottery Drama.

Are we alone in the universe—or already living alongside an ancient alien intelligence? In this mind-bending exploration, Professor Robin Hanson (George Mason University & Oxford's Future of Humanity Institute) breaks down the statistical odds that alien life exists and why it may have already been found in our own solar system. From AI-driven extraterrestrials silently observing us, to the chilling theory that humans are being domesticated by advanced alien civilizations, Hanson reveals where alien life is most likely to emerge, why UFO sightings might actually be real, and how our understanding of “quiet” vs. “loud” aliens could change everything we know about our future. Robin Hanson's Book, The Elephant in the Brain: Hidden Motives in Everyday Life: https://www.elephantinthebrain.com/ BialikBreakdown.comYouTube.com/mayimbialik

South East Asia comprises 10 diverse nations and nearly 700 million people spread across a vast landmass. Consequently, the numbers are often large, impactful and scaleable - and travel and tourism are no exceptions. This week, Gary and Hannah select the Top 8 statistical talking points from across the region. These cover inbound and outbound travel, ASEAN vs APAC airline seat capacity, the Hajj pilgrimage from Indonesia, human capital development in Vietnam – and electrified living everywhere. Plus, can Love Win All in Thailand? Which capital city is spending almost USD200 million on urban heritage revitalisation? And which country is surging far ahead of the pack for year-on year tourism arrivals growth? Plus, much more...

Send us a textRich Paul's controversial statement claiming the Miami Heat's championship core of LeBron, Wade, and Bosh was "never a Big Three" sparks heated debate about NBA history and narrative control. I explore why this claim is absurd by examining the definition of a Big Three and comparing it to other famous NBA trios.• Define a Big Three as three perennial all-star players in or around their prime years• Breakdown of the 2008 Boston Celtics Big Three (Pierce, Allen, Garnett) as a classic example• Analysis of the Warriors' Big Four with Durant joining Curry, Thompson and Green• Detailed stats showing Miami's trio were all multi-time All-Stars in their prime when they joined forces• Rich Paul's statement appears to be an attempt to rewrite history to enhance LeBron's legacy• Examining how Bosh's role as "ultimate professional" doesn't diminish his star status• Statistical comparison showing LeBron played with more All-Stars against fewer playoff All-Star opponents than JordanLike, subscribe, comment, and tell anyone who's anyone about the show! I'm curious about your thoughts – is Rich Paul right or am I off my rocker? Let me know what you think.Support the showhttps://linktr.ee/GetABucketShow for more content!!!

Note: this episode was recorded in August of 2022.In the latest Elucidation, Matt talks to Witold Więcek about the difficulties that come up for researchers who would like to draw upon statistics. Lots of academic fields need to draw heavily on statistics, whether it's economics, psychology, sociologym, linguistics, computer science, or data science. This means that a lot of people coming from different backgrounds often need to learn basic statistics in order to investigate whatever question they're investigating. But as we've discussed on this podcast, statistical reasoning is easy for beginners to mess up, and it's also easy for bad faith parties to tamper with in undetectable ways. They can straight up fabricate data, they can cherry pick it, they can keep changing the hypothesis they are testing until they find one that is supported by a trend in the data they have. So what should we do? We can't give up on statistics; it is simply too useful a tool.Witold Więcek argues that researchers have to be mindful of “p-hacking”. Statistical significance, the golden standard of academic publishing, can easily be guaranteed by unscrupulous research or motivated reasoning: statistically speaking, even noise can look like signal if we keep asking more and more questions of our data. Modern statistical workflows require us to either adjust the results for number of hypotheses tested or to follow principles of Bayesian inference. As a broader strategy, Więcek recommends that every research project making significant use of statistical arguments bring in in an external consultant, who can productively stress test those arguments in an adversarial way, given that they aren't part of the main team.It was a great conversation! I hope you enjoy it.Matt Teichman Hosted on Acast. See acast.com/privacy for more information.

In this powerful episode of For the Love of History, host TC is joined by scholar and author Dr. Anita Say Chan to explore the unsettling historical roots of modern data science and artificial intelligence. Drawing from her groundbreaking book Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future, Anita uncovers how today's predictive algorithms trace back to 19th-century eugenics. Yes, really. Statistical regression—the backbone of online recommendation engines—was developed by a eugenicist. And that's just the beginning. We unpack how algorithmic bias, data colonialism, and techno-eugenics operate in today's platforms—from Facebook's role in global violence to the AI industry's resistance to regulation. If you're curious about the intersections of technology, race, gender, and power, this is the episode you've been waiting for.

In this episode, we review the high-yield topic of⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Statistical Measures ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠from the STATS section.Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Medbullets⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on social media:Facebook: www.facebook.com/medbulletsInstagram: www.instagram.com/medbulletsofficialTwitter: www.twitter.com/medbullets

In this episode, we review the high-yield topic of⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Statistical Distribution⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠from the STATS section.Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Medbullets⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on social media:Facebook: www.facebook.com/medbulletsInstagram: www.instagram.com/medbulletsofficialTwitter: www.twitter.com/medbullets

I get asked about this all the time—does creatine cause hair loss? So I thought I'd clear the air.There's one study people always point to where they saw an increase in DHT levels (a hormone linked to hair loss) in guys taking creatine. But here's the thing—just because something is statistically significant doesn't mean it actually makes a difference in the real world. That's a super important distinction.Also, a lot of the fear around this comes from seeing bodybuilders who take creatine and also happen to lose their hair. But they're often using a lot of other stuff too, which muddies the waters completely.Bottom line? There's no solid evidence that creatine causes hair loss. I wouldn't avoid it just because of that one shaky link.Time Stamps:00:00 Introduction to Creatine and Hair Loss02:50 Understanding DHT and Its Implications05:46 Statistical vs Clinical Significance in Research08:12 Debunking Myths: Creatine and Bodybuilders' Hair LossClick me for show notes!

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Thank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Scott Anthony Robson, Robert Yolken, Or Duek, Pavel Dusek, Paul Cox, Andreas Kröpelin, Raphaël R, Nicolas Rode, Gabriel Stechschulte, Arkady, Kurt TeKolste, Gergely Juhasz, Marcus Nölke, Maggi Mackintosh, Grant Pezzolesi, Avram Aelony, Joshua Meehl, Javier Sabio, Kristian Higgins, Alex Jones, Gregorio Aguilar, Matt Rosinski, Bart Trudeau, Luis Fonseca, Dante Gates, Matt Niccolls, Maksim Kuznecov, Michael Thomas, Luke Gorrie, Cory Kiser, Julio, Edvin Saveljev, Frederick Ayala, Jeffrey Powell, Gal Kampel, Adan Romero, Will Geary, Blake Walters, Jonathan Morgan, Francesco Madrisotti, Ivy Huang, Gary Clarke, Robert Flannery, Rasmus Hindström, Stefan, Corey Abshire, Mike Loncaric, David McCormick, Ronald Legere, Sergio Dolia, Michael Cao, Yiğit Aşık and Suyog Chandramouli.Takeaways:Player tracking data revolutionized sports analytics.Decision-making in sports involves managing uncertainty and budget constraints.Luke emphasizes the importance of portfolio optimization in team management.Clubs with high budgets can afford inefficiencies in player acquisition.Statistical methods provide a probabilistic approach to player value.Removing human bias is crucial in sports decision-making.Understanding player performance distributions aids in contract decisions.The goal is to maximize performance value per dollar spent.Model validation in sports requires focusing on edge cases.

Can intention alone cause changes in physical systems? Can the collective attention of a large group of people to an event cause changes in the coherence changes in physical systems, despite that lack of intention to do so?In today's episode we're going to be exploring a field consciousness hypothesis: so a variation on the idea that consciousness may extend beyond the body and interact casually with physical systems and the consciousness of other beings, in some kind of resonant field phenomena. We're going to be learning about the experiments with random number generators used to test this hypothesis; how human intention and attention has been proved to be able to affect these random outputs in a vast backlog of positive results and meta analyses; We're going to hear about how these experiments have been taken global, looking at collective effects on RNGs of particularly important world events that many people are attending to; we're going to be looking at criticisms of the statistical analysis and a potential experimenter effect; and we're going to be talking about the contrast between some seemingly non-local effects with other localised effects; and as always we're going to be getting into the implications, in this case of whether the ‘field consciousness' effect the data seems to point to, is more likely to be a unified field of consciousness, so in some sense a single mind, or simply the aggregated sum of all individual consciousnesses. Now fortunately to guide us as we carefully test the thickness of the ice on this genuinely alternative world view of consciousness, we have the cognitive psychologist that has pioneered these field consciousness experiments since he founded the Global Consciousness Project at the Princeton University PEAR labs, Roger Nelson. Roger worked at Princeton's PEAR labs in the department of Mechanical and Aerospace Engineering, initially under Bob Jahn, for over twenty years until his retirement in 2002. He is also the author of the book “Connected: The emergence of global consciousness”.What we discuss:00:00 Intro.07:30 Random Number generator ‘mind-matter interaction' experiments at Princeton PEAR labs.21:10 Bob Jahn - Dean of Engineering at Princeton.28:45 Emotional and passionate group events saw coherence in the RNG experiments. 33:00 Contrast between apparent local and non-local effects.37:55 David Bohm's Implicate / Explicate order concept.38:55 “Pilot wave” and “active information” link between the implicite and the explicate.43:55 Statistical results generation and analysis of significance.49:05 The sceptics criticisms.51:45 The Global Consciousness Project methodology. 53:05 Pierre Teilhard de Chardin's mind sphere, called ‘Noosphere'.57:45 Measuring the group coherence of Princess Diana's funeral.01:00:25 The 9/11 Results.01:05:55 The emotional component in coherence.01:18:40 The quantity of people and strength of the emotion, whether positive or negative, raises the effect size.01:11:10 A single collective consciousness VS an aggregate of all individual consciousnesses. 01:14:50 Different levels of collective consciousness above individual bodies.01:16:55 The analogy of individuals being like neurones in a cosmic brain.01:20:55 The Experimenter effect criticism.01:26:10 The Helmut Schmidt “Unobserved tape” experiment.01:29.10 The indeterminate state before observer ‘collapses of the wave function' analogy to explain results.01:37:25 The Schmidt ‘retrocausation' hypothesis.References:Roger Nelson, “Connected: the Emergence of Global Consciousness”Robert Jahn And Brenda Dunn, “Margins of Reality”International Consciousness Research Laboratories (ICRL) Publishing.Pierre Teilhard de Chardin, “The Phenomena of man”

Billy Grant caught up with Matt from Forest Focus to discuss Brentford's trip to the City Ground Nottingham in what has been deemed a must-win match for ForestJacob Gowler from Bees Breakdown gives the Statistical and Tactical lowdown on Forest Hosted on Acast. See acast.com/privacy for more information.

Steve Forbes explains why focusing on trade deficits and surpluses completely ignores the key questions of economic health—and why the focus on that could lead to serious and avoidable economic turbulence.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this week's episode Patrick and Greg have some serious fun with song lyrics they misunderstood at some point in their personal lives. They then use this as a thinly veiled excuse to explore some very basic statistical things that they have also misunderstood at some point in their professional lives. Along the way they discuss over-engineered front ends, mumbling, Scaramouche, mondegreens, Tony Danza, Bingo Jed, word salad, containers, sitting next to Kurt Cobain, kicking cats, tiddles, ears ringing, the Dunder Chief, wrinkles in the space time continuum, naked or not, missing data bouncer, colite gas, and dying on the dance floor. Stay in contact with Quantitude! Web page: quantitudepod.org TwitterX: @quantitudepod YouTube: @quantitudepod Merch: redbubble.com

Title: Journal Club Series Episode 9 - Common statistical tests Part 2 (eg,  Student's T test, analysis of variance [ANOVA], chi-square, nonparametric tests)  Target Audience This activity is directed to physicians who take care of hospitalized children, medical students, nurse practitioners, and physician assistants working in the emergency room, intensive care unit, or hospital wards. Objectives: Upon completion of this activity, participants should be able to: 1.      Review common statistical tests 2.      Review Student's T test, analysis of variance [ANOVA]. 3.      Review chi-square vs nonparametric tests). Course Directors: Tony R. Tarchichi MD — Associate Professor, Department of Pediatrics, Children's Hospital of Pittsburgh of the University of Pittsburgh Medical Center (UPMC.) Paul C. Gaffney Division of Pediatric Hospital Medicine. No relationships with industry relevant to the content of this educational activity have been disclosed. Philana Lin M.D., MSc, -- University of Pittsburgh School of Medicine - Associate Professor in the Department of Pediatrics - Pediatric Infectious Disease Division Dr. Lin receives grant/research support from Pfizer (funds investigator initiated seroprevalance study on invasive pneumococcal infection), and NIH (Investigator initiated research on tuberculosis). Conflict of Interest Disclosure: No other planners, members of the planning committee, speakers, presenters, authors, content reviewers and/or anyone else in a position to control the content of this education activity have relevant financial relationships to disclose. Accreditation Statement: In support of improving patient care, the University of Pittsburgh is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.  The University of Pittsburgh School of Medicine designates this enduring material activity for a maximum of 0.5 AMA PRA Category 1 CreditsTM. Physicians should only claim credit commensurate with the extent of their participation in the activity. Other health care professionals will receive a certificate of attendance confirming the number of contact hours commensurate with the extent of participation in this activity.   Disclaimer Statement: The information presented at this activity represents the views and opinions of the individual presenters, and does not constitute the opinion or endorsement of, or promotion by, the UPMC Center for Continuing Education in the Health Sciences, UPMC / University of Pittsburgh Medical Center or Affiliates and University of Pittsburgh School of Medicine.  Reasonable efforts have been taken intending for educational subject matter to be presented in a balanced, unbiased fashion and in compliance with regulatory requirements. However, each program attendee must always use his/her own personal and professional judgment when considering further application of this information, particularly as it may relate to patient diagnostic or treatment decisions including, without limitation, FDA-approved uses and any off-label uses. Released 4/5/2025,  Expires 4/5/2028 The direct link to the course is provided below: https://cme.hs.pitt.edu/ISER/app/learner/loadModule?moduleId=25774&dev=true

On this episode we were joined by special guest Dr. Keith Lohse from Washington University Explorations in statistics: the analysis of ratios and normalized data Curran-Everett D. Adv Physiol Educ. 2013;37(3):213-219. doi:10.1152/advan.00053.2013 Comparison of 5 Normalization Methods for Knee Joint Moments in the Single-Leg Squat Hirsch SM, Chapman CJ, Frost DM, et al. J Appl Biomech. 2022;38(1):29-38. doi:10.1123/jab.2021-0143 Due to copyright laws, unless the article is open source we cannot legally post the PDF on the website for the world to download at will. Brought to you by our sponsors at: CSMi – https://www.humacnorm.com/ptinquest Learn more about/Buy Erik/Jason/Chris's courses – The Science PT Support us on the Patreons! Music for PT Inquest: “The Science of Selling Yourself Short” by Less Than Jake Used by Permission Other Music by Kevin MacLeod – incompetech.com: MidRoll Promo – Mining by Moonlight Koal Challenge – Sam Roux

In this episode of The State of Sales Enablement, Coach K sits down with Dr. Tom Tonkin—sales enablement OG, academic, and data whisperer—to explore what truly makes enablement work.From his early days as a sales leader at Oracle to earning a PhD in Organizational Leadership, Tom's unique journey has equipped him with rare insight into what actually moves the needle in sales performance. Today, he's on a mission to bring statistical rigor to the world of enablement—and help practitioners avoid chasing shiny objects.If you've ever relied on vendor reports, built programs based on industry surveys, or wondered why your initiatives aren't getting the results you expected… this episode is for you.Here's what we cover:✅ Why most industry surveys are statistically useless – The difference between descriptive and predictive data—and how to spot flawed claims.✅ Charters, methodologies, and other myths – The surprising things that don't actually move the revenue needle.✅ The 4 levels of insight – Descriptive, diagnostic, predictive, and prescriptive—what they are and why most enablement teams are stuck at level one.✅ What enablers need to learn next – Why basic statistical literacy might be the most underrated skill in enablement today.Whether you're an enabler, sales leader, or data-curious professional, this episode will change the way you think about metrics, measurement, and what it truly means to be "data-driven."Episode LinksConnect with Dr. Tom Tonkin on LinkedIn: https://www.linkedin.com/in/drtomtonkin/Connect with Coach K on LinkedIn: https://www.linkedin.com/in/jmkmba/Mentioned in this episode:

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Matt emphasizes the importance of Bayesian statistics in scenarios with limited data.Communicating insights to coaches is a crucial skill for data analysts.Building a data team requires understanding the needs of the coaching staff.Player recruitment is a significant focus in football analytics.The integration of data science in sports is still evolving.Effective data modeling must consider the practical application in games.Collaboration between data analysts and coaches enhances decision-making.Having a robust data infrastructure is essential for efficient analysis.The landscape of sports analytics is becoming increasingly competitive. Player recruitment involves analyzing various data models.Biases in traditional football statistics can skew player evaluations.Statistical techniques should leverage the structure of football data.Tracking data opens new avenues for understanding player movements.The role of data analysis in football will continue to grow.Aspiring analysts should focus on curiosity and practical experience.Chapters:00:00 Introduction to Football Analytics and Matt's Journey04:54 The Role of Bayesian Methods in Football10:20 Challenges in Communicating Data Insights17:03 Building Relationships with Coaches22:09 The Structure of the Data Team at Como26:18 Focus on Player Recruitment and Transfer Strategies28:48 January Transfer Window Insights30:54 Biases in Football Data Analysis34:11 Comparative Analysis of Men's and Women's Football36:55 Statistical Techniques in Football Analysis42:48 The Impact of Tracking Data on Football Analysis45:49 The Future of Data-Driven Football Strategies47:27 Advice for Aspiring Football Analysts

Lisa LaVange is the 2018 President of the American Statistical Association and she is PhD, is Professor and Associate Chair of the Department of Biostatistics { add link to dept } in the Gillings School of Global Public Health { add link to Gillings SPH } at the University of North Carolina at Chapel Hill. She is also director of the department's Collaborative Studies Coordinating Center (CSCC), overseeing faculty, staff, and students involved in large-scale clinical trials and epidemiological studies coordinated by the center. Ronald L. (Ron) Wasserstein is the executive director of the American Statistical Association (ASA). Wasserstein assumed the ASA's top staff leadership post in August 2007. Prior to joining the ASA, Wasserstein was a mathematics and statistics department faculty member and administrator at Washburn University in Topeka, Kan., from 1984–2007. During his last seven years at the school, he served as the university's vice president for academic affairs.

Send us a message or question! SummaryIn this episode of Never Mind the Dambusters, hosts Jane Gulliford-Lowes and James Jefferies are joined by historian Stuart Burbridge to discuss the often-overlooked aspect of the RAF Bomber Command's offensive against Luftwaffe night fighters during World War II. The conversation covers the technological innovations, strategies, and the psychological impact of the night fighter campaign, as well as the statistical analysis of its effectiveness. Stuart shares insights from his research and personal connection to Bomber Command, providing a comprehensive overview of this critical aspect of air warfare.TakeawaysThe night fighter campaign was a significant threat to Bomber Command.Stuart Burbridge's personal connection to Bomber Command shaped his research.Technological innovations like the Serrate Homer were crucial in countering night fighters.100 Group was established to confound and destroy enemy night fighters.The Nuremberg raid highlighted the vulnerabilities of Bomber Command.Statistical analysis reveals the effectiveness of the night fighter offensive.The Luftwaffe had a psychological fear of the Mosquito aircraft.The introduction of new radar systems improved the RAF's night fighting capabilities.The campaign evolved through several distinct phases from 1942 to 1945.Stuart plans to write a book covering the broader aspects of the night fighter campaign.Chapters00:00 Introduction and Personal Updates02:40 The Night Fighter Campaign: An Overview04:21 Stuart's Personal Connection to Bomber Command07:41 The Threat of Night Fighters in 194314:35 Technological Innovations Against Night Fighters19:41 The Structure of the Night Fighter Campaign27:51 Evolution of Radar Technology in WWII29:41 The Seven Phases of the RAF Offensive36:02 Statistical Analysis of Night Fighter Campaigns41:15 Luftwaffe's Perspective on RAF Night Fighters48:36 Conclusions and Future Directions50:11 Show intro.wavSupport the showPlease subscribe to Never Mind The Dambusters wherever you get your podcasts. You can support the show, and help us produce great content, by becoming a paid subscriber from just $3 a month here https://www.buzzsprout.com/2327200/support . Supporters get early access to episodes and invitations to livestreams. Thank you for listening! You can reach out to us on social media at @RAF_BomberPod (X) or @NeverMindTheDambusters (Instagram)You can find out about James' research, articles, lectures and podcasts here .You can read more about Jane's work on her website at https://www.justcuriousjane.com/, and listen to podcasts/media stuff here

Subscriber-only episodeSend us a message or question! ***Episode on general release Wednesday 19th March 2025.In this episode of Never Mind the Dambusters, hosts Jane Gulliford-Lowes and James Jefferies are joined by historian Stuart Burbridge to discuss the often-overlooked aspect of the RAF Bomber Command's offensive against Luftwaffe night fighters during World War II. The conversation covers the technological innovations, strategies, and the psychological impact of the night fighter campaign, as well as the statistical analysis of its effectiveness. Stuart shares insights from his research and personal connection to Bomber Command, providing a comprehensive overview of this critical aspect of air warfare.TakeawaysThe night fighter campaign was a significant threat to Bomber Command.Stuart Burbridge's personal connection to Bomber Command shaped his research.Technological innovations like the Serrate Homer were crucial in countering night fighters.100 Group was established to confound and destroy enemy night fighters.The Nuremberg raid highlighted the vulnerabilities of Bomber Command.Statistical analysis reveals the effectiveness of the night fighter offensive.The Luftwaffe had a psychological fear of the Mosquito aircraft.The introduction of new radar systems improved the RAF's night fighting capabilities.The campaign evolved through several distinct phases from 1942 to 1945.Stuart plans to write a book covering the broader aspects of the night fighter campaign.Chapters00:00 Introduction and Personal Updates02:40 The Night Fighter Campaign: An Overview04:21 Stuart's Personal Connection to Bomber Command07:41 The Threat of Night Fighters in 194314:35 Technological Innovations Against Night Fighters19:41 The Structure of the Night Fighter Campaign27:51 Evolution of Radar Technology in WWII29:41 The Seven Phases of the RAF Offensive36:02 Statistical Analysis of Night Fighter Campaigns41:15 Luftwaffe's Perspective on RAF Night Fighters48:36 Conclusions and Future Directions50:11 Show intro.wavPlease subscribe to Never Mind The Dambusters wherever you get your podcasts. You can support the show, and help us produce great content, by becoming a paid subscriber from just $3 a month here https://www.buzzsprout.com/2327200/support . Supporters get early access to episodes and invitations to livestreams. Thank you for listening! You can reach out to us on social media at @RAF_BomberPod (X) or @NeverMindTheDambusters (Instagram)You can find out about James' research, articles, lectures and podcasts here .You can read more about Jane's work on her website at https://www.justcuriousjane.com/, and listen to podcasts/media stuff here

Summary In this episode of Armed American Radio, host Mark Walters engages with AWR Hawkins on various topics surrounding gun rights, hunting, and the absurdities of gun control narratives. They discuss a bizarre incident involving a pit bull accidentally shooting its owner, the outrageous claims made by Gabby Gifford's gun control group, and the implications of a new federal bill aimed at preventing gun control during national emergencies. The conversation also touches on Mel Gibson's gun rights controversy and a controversial bill in Illinois that could allow attacks on police during mental health episodes. The episode highlights the ongoing challenges and absurdities in the discourse surrounding gun rights and legislation in America. Keywords Armed American Radio, gun rights, AWR Hawkins, gun control, Mel Gibson, legislation, Chicago violence, mental health, firearms, conservative voice Takeaways AWR Hawkins discusses his hunting plans and firearm choices. The importance of safe gun storage is emphasized. Claims by gun control groups are often exaggerated and misleading. Statistical analysis reveals flaws in gun control narratives. Legislation is being introduced to protect gun rights during emergencies. Mel Gibson's gun rights restoration case raises questions about fairness. Illinois lawmakers propose controversial mental health legislation. Gun violence statistics in Chicago highlight ongoing issues. The media's role in shaping public perception of gun violence is scrutinized. The conversation underscores the need for informed discourse on gun rights.  

Title: Journal Club Series Episode 7- Statistical Power Target Audience This activity is directed to physicians who take care of hospitalized children, medical students, nurse practitioners, and physician assistants working in the emergency room, intensive care unit, or hospital wards. Objectives: Upon completion of this activity, participants should be able to: 1.      Review Statistical power in research, when to use it and how to interpret it.   Course Directors: Tony R. Tarchichi MD — Associate Professor, Department of Pediatrics, Children's Hospital of Pittsburgh of the University of Pittsburgh Medical Center (UPMC.) Paul C. Gaffney Division of Pediatric Hospital Medicine. No relationships with industry relevant to the content of this educational activity have been disclosed. Matthew Wilkinson MD, MPH - Associate Professor, Department of Pediatrics, The University of Texas at Austin Dell Medical School Dr. Wilkinson discloses that he is a consultant for Koru Medical and is a stockholder with EM Device Lab. Conflict of Interest Disclosure: No other planners, members of the planning committee, speakers, presenters, authors, content reviewers and/or anyone else in a position to control the content of this education activity have relevant financial relationships to disclose. Accreditation Statement: In support of improving patient care, the University of Pittsburgh is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.  The University of Pittsburgh School of Medicine designates this enduring material activity for a maximum of 0.5 AMA PRA Category 1 CreditsTM. Physicians should only claim credit commensurate with the extent of their participation in the activity. Other health care professionals will receive a certificate of attendance confirming the number of contact hours commensurate with the extent of participation in this activity.   Disclaimer Statement: The information presented at this activity represents the views and opinions of the individual presenters, and does not constitute the opinion or endorsement of, or promotion by, the UPMC Center for Continuing Education in the Health Sciences, UPMC / University of Pittsburgh Medical Center or Affiliates and University of Pittsburgh School of Medicine.  Reasonable efforts have been taken intending for educational subject matter to be presented in a balanced, unbiased fashion and in compliance with regulatory requirements. However, each program attendee must always use his/her own personal and professional judgment when considering further application of this information, particularly as it may relate to patient diagnostic or treatment decisions including, without limitation, FDA-approved uses and any off-label uses. Released 3/11/2025,  Expires 3/11/2028 The direct link to the course is provided below: https://cme.hs.pitt.edu/ISER/app/learner/loadModule?moduleId=25581&dev=true

Title: Journal Club Series Episode 8 - Common statistical tests Part 1 (eg,  Student's T test, analysis of variance [ANOVA], chi-square, nonparametric tests)  Target Audience This activity is directed to physicians who take care of hospitalized children, medical students, nurse practitioners, and physician assistants working in the emergency room, intensive care unit, or hospital wards. Objectives: Upon completion of this activity, participants should be able to: 1.      Review common statistical tests 2.      Review Student's T test, analysis of variance [ANOVA]. 3.      Review chi-square vs nonparametric tests).   Course Directors: Tony R. Tarchichi MD — Associate Professor, Department of Pediatrics, Children's Hospital of Pittsburgh of the University of Pittsburgh Medical Center (UPMC.) Paul C. Gaffney Division of Pediatric Hospital Medicine. No relationships with industry relevant to the content of this educational activity have been disclosed. Philana Lin M.D., MSc, -- University of Pittsburgh School of Medicine - Associate Professor in the Department of Pediatrics - Pediatric Infectious Disease Division Dr. Lin receives grant/research support from Pfizer (funds investigator initiated seroprevalance study on invasive pneumococcal infection), and NIH (Investigator initiated research on tuberculosis). Conflict of Interest Disclosure: No other planners, members of the planning committee, speakers, presenters, authors, content reviewers and/or anyone else in a position to control the content of this education activity have relevant financial relationships to disclose. Accreditation Statement: In support of improving patient care, the University of Pittsburgh is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.  The University of Pittsburgh School of Medicine designates this enduring material activity for a maximum of 0.5 AMA PRA Category 1 CreditsTM. Physicians should only claim credit commensurate with the extent of their participation in the activity. Other health care professionals will receive a certificate of attendance confirming the number of contact hours commensurate with the extent of participation in this activity.   Disclaimer Statement: The information presented at this activity represents the views and opinions of the individual presenters, and does not constitute the opinion or endorsement of, or promotion by, the UPMC Center for Continuing Education in the Health Sciences, UPMC / University of Pittsburgh Medical Center or Affiliates and University of Pittsburgh School of Medicine.  Reasonable efforts have been taken intending for educational subject matter to be presented in a balanced, unbiased fashion and in compliance with regulatory requirements. However, each program attendee must always use his/her own personal and professional judgment when considering further application of this information, particularly as it may relate to patient diagnostic or treatment decisions including, without limitation, FDA-approved uses and any off-label uses. Released 3/11/2025,  Expires 3/11/2028 The direct link to the course is provided below: https://cme.hs.pitt.edu/ISER/app/learner/loadModule?moduleId=25579&dev=true

In this episode, our host interviews Dr. David Burns about his methods for overcoming negative thoughts and promoting joy using CBT techniques. Dr. Burns discusses various techniques and introduces his new digital tool, the Feeling Great app, which tracks personal feelings to facilitate quick and effective therapy, using advanced methods to help users change their thought patterns and emotions. Additionally, Dr. Burns emphasizes the importance of measurements in therapy for accountability and optimization, while promoting the availability of scientifically backed, drug-free treatment options for depression and anxiety, revealing his commitment to revolutionizing mental health care through his app and other resources. Listen now! “If you look at the DSM, the diagnostic and Statistical manual, hundreds of so-called mental disorders that are described. So whatever emotion you have, it can be turned into a mental disorder. So if you're shy and most of us get anxious in public speaking or around other people, well, you don't. You're not shy. You have a mental disorder called social anxiety disorder. And that really, excuse the language, pisses me off when they do that, because you've taken a very common problem and turned it into a mental disease, and then people think they need some pill for that. And to me, that's meaningless and it's, it's wrong.” ~Dr. David Burns, Adjunct Clinical Professor Emeritus of Psychiatry and Behavioral Sciences at the Stanford University School of Medicine To learn more -- or read the transcript -- please visit the official episode page. Our guest, Dr. David Burns, graduated magna cum laude from Amherst College, received his M.D. from Stanford University School of Medicine, and completed his psychiatry residency at the University of Pennsylvania School of Medicine. He has served as Acting Chief of Psychiatry at the Presbyterian / University of Pennsylvania Medical Center (1988) and Visiting Scholar at the Harvard Medical School (1998), and is certified by the National Board of Psychiatry and Neurology. Dr. Burns is currently Adjunct Clinical Professor Emeritus of Psychiatry and Behavioral Sciences at the Stanford University School of Medicine, where he is involved in research and teaching. He has received numerous awards, including the A. E. Bennett Award for his research on brain chemistry, the Distinguished Contribution to Psychology through the Media Award, and the Outstanding Contributions Award from the National Association of Cognitive-Behavioral Therapists. He has been named Teacher of the Year three times from the class of graduating residents at Stanford University School of Medicine, and feels especially proud of this award. In addition to his academic research, Dr. Burns has written a number of popular books on mood and relationship problems. His best-selling book, Feeling Good: The New Mood Therapy, has sold over 4 million copies in the United States, and many more worldwide. Feeling Good is the book most frequently “prescribed” for depressed patients by psychiatrists and psychologists in the United States and Canada. Surveys indicate that American mental health professionals rate Feeling Good as the #1 book on depression, out of a list of 1,000 self-help books. Our host, Gabe Howard, is an award-winning writer and speaker who lives with bipolar disorder. He is the author of the popular book, "Mental Illness is an Asshole and other Observations," available from Amazon; signed copies are also available directly from the author. Gabe is also the host of the "Inside Bipolar" podcast with Dr. Nicole Washington. Gabe makes his home in the suburbs of Columbus, Ohio. He lives with his supportive wife, Kendall, and a Miniature Schnauzer dog that he never wanted, but now can't imagine life without. To book Gabe for your next event or learn more about him, please visit gabehoward.com. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, I tests Polymet AI, an AI product designer tool, by creating a YouTube analytics prediction SaaS concept inspired by a viral tweet about predicting tweet performance. I compares Polymet AI with V0, noting that while Polymet required multiple prompts and offered less feedback during the design process, both tools ultimately produced usable designs. I concludes that different AI tools have different strengths, and using multiple tools in combination might yield the best results.Timestamps: 00:00 - Intro02:33 - First Impressions of Polymet03:57 - Startup Idea: Predicting YouTube Engagement05:03 - Initial Design Prompt10:11 - Polymet's First Design Output: TubePredict11:04 - UI and Functionality Issues and Debugging16:08 - Polymet's Second Design Output17:44 - Debugging pt 220:48 - Prompting v0 22:30 - v0's Design Output 23:41 - Polymet's Third Design Output24:49 - Comparing v0 and Polymer and Final Thoughts on Design Outputs27:36 - Conclusion and Recommendations for AI Design ToolsKey Points• I tests Polymet AI a new AI product designer tool that claims to help non-designers create production-ready designs• I compares Polymet AI with v0, a similar tool he's used before, by designing a YouTube analytics prediction tool• Both tools produced functional designs, but with different user experiences and output quality1) First impressions of Polymet AI:• Clean interface similar to ChatGPT• Includes voice input (huge plus!)• Image upload capability for reference designs• Credit-based system (250 free credits to start)• 50 credits per page generation2) The design process with Polymet was... interesting.PROS:• Named the product "TubePredict" automatically• Created decent landing page copy• Saved version historyCONS:• Slow generation (2+ minutes)• No progress indicator (frustrating!)• Initial designs missed the mark completely 3) After 3 attempts with increasingly specific prompts, Polymet finally delivered:• Clean, modern interface• Detailed A/B testing dashboard• Statistical confidence indicators• AI suggestions for optimizationBut the communication was ONE-WAY. No feedback loop!4) Meanwhile, v0 showed its strengths:• Real-time reasoning as it designed• Conversational approach ("I'll create a SaaS that...")• Faster FEELING process (transparency helps!)• Ability to ask clarifying questionsThe difference in experience was NIGHT and DAY.5) The final designs were surprisingly similar in quality!Polymet's strengths:• More detailed product features• Hover states built in• Actual code generationv0's advantages:• Slightly more polished visually• More "glassy" as requested• Better feedback loop6) MAJOR INSIGHT: The future isn't about finding ONE perfect AI design tool.It's about using MULTIPLE tools strategically:• Generate initial concepts in one• Refine in another• Mix and match their strengthsJust like we do with ChatGPT, Claude, Gemini, etc.7) The REAL lesson? Knowing design terminology matters!When I specifically requested "glassmorphism" instead of just saying "glassy," both tools performed MUCH better.The more precise your design vocabulary, the better your AI design results.8) Would I recommend these tools? YES - but with expectations in check.Two years ago this would have been MIND-BLOWING.Today, our standards are higher.But for quick prototyping or inspiration, both tools deliver value in different ways.Notable Quotes:"Two years ago, if I would have seen this, I would have been like, 'Oh my God, everything has changed.' And now our bar for all these AI products is so high that the output needs to be incredible for you to really use it in your workflow.""How do you get the most out of them is just you use all of them, you realize what's best for each individual product... There's these nuances that make these products better."Want more free ideas? I collect the best ideas from the pod and give them to you for free in a database. Most of them cost $0 to start (my fav)Get access: https://www.gregisenberg.com/30startupideasLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/BoringAds — ads agency that will build you profitable ad campaigns http://boringads.com/BoringMarketing — SEO agency and tools to get your organic customers http://boringmarketing.com/Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.startupempire.coFIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/

Summary In this episode of Armed American Radio, host Mark Walters discusses the anticipated release of the Epstein files, the implications of the case, and the ongoing debate surrounding defensive gun use. The conversation delves into the societal impact of gun ownership and self-defense, while also touching on the mysterious death of actor Gene Hackman. Throughout the episode, Walters emphasizes the importance of understanding the realities of gun use in society and challenges the narratives presented by the media. Armed American Radio, Epstein files, defensive gun use, Mark Walters, gun rights, self-defense, media, crime, Hollywood, political commentary Takeaways The Epstein files are expected to reveal significant names and connections. Public anticipation is high regarding the Epstein case and its implications. Mark Walters emphasizes the existence of evil in society. Defensive gun use is often misrepresented by the media. Statistical evidence supports the prevalence of defensive gun use. The narrative that guns are not beneficial for society is challenged. Walters shares personal experiences related to defensive gun use. The conversation highlights the importance of distinguishing between law-abiding citizens and criminals. The media's portrayal of gun violence often lacks context and accuracy. Walters encourages listeners to question the narratives presented by mainstream media.    

Big Dog and Kap look at the latest action in DIII lacrosse with ton of Top 20 talk, a deep dive on Salisbury toppling Gettysburg, Babson besting Union, and plentyof other matchups from early season.  Statistical players of the week makes its triumphant return, and we take a look at some upcoming heavy-hitter matchups.

Summary This episode of "Coping" covers what a calling is, and debunks three major misconceptions about it. Kathy and Kevin discuss that calling isn't just for certain people but is universal, and it doesn't always manifest as a clear, dramatic moment. They discuss the difference between jobs (which pay bills), careers (climbing the ladder), and callings (which provide meaning and purpose). The conversation concludes with a reading of John Donahue's poem 'For the Traveler.' Highlights Introduction to Calling and Its Evolution The speakers begin by introducing the topic of calling and its importance. They establish that calling isn't static but evolves over time. Statistical evidence is presented showing the evolution of job changes: from 1-2 jobs in 1950, 4-6 in 1980, to a projected 12 jobs by 2025. Yale professor Amy Rosinski's framework is discussed, distinguishing between jobs (for paying bills), careers (ladder climbing), and callings (meaningful purpose). Myth 1: Calling is Unchanging and Linear The first myth addressed is that calling remains unchanged throughout life. Kevin emphasizes that people are called, not jobs, and that calling evolves as individuals grow. Kathy uses the metaphor of Russian stacking dolls to illustrate how calling evolves into larger versions while maintaining core identity. Parker Palmer's quote about listening to one's life is referenced to emphasize the connection between calling and identity. Myth 2: Calling is Only for Other People The second myth discusses the misconception that calling is only for special individuals. Both speakers share personal experiences: Kathy initially resisted following her family's educational legacy, while Kevin, as a chaplain, notes how people often associate calling only with religious vocations. They emphasize that everyone has a unique purpose to fulfill. Myth 3: Calling is Always Clear and Obvious The final myth addresses the misconception that calling appears as a dramatic moment of revelation. The speakers reference Bill Burnett's work on Design Your Life Thinking and discuss how calling often emerges through small moments rather than dramatic 'burning bush' experiences. They emphasize that calling develops through exploration and reflection, with Kevin introducing the concept of 'lowercase c' calling moments versus 'capital C' moments.

From the archives: 6-25-23DNA evidence has become a powerful tool in modern criminal investigations, often playing a crucial role in identifying and convicting criminals. Here is a summary of how DNA evidence is used in the process:Crime scene collection: When a crime occurs, investigators collect biological material such as blood, hair, saliva, or other bodily fluids from the crime scene. These samples may be found on weapons, clothing, or other objects relevant to the crime.Preservation and analysis: Collected samples are carefully preserved to maintain their integrity and prevent contamination. Forensic scientists extract DNA from the biological material and analyze it in a laboratory. The DNA is compared to the DNA profiles of known individuals, such as suspects or individuals connected to the case.DNA profiling: The extracted DNA is subjected to a process called DNA profiling, which examines specific regions of the DNA sequence that vary between individuals. This profiling creates a unique DNA profile, often referred to as a DNA fingerprint, which can differentiate one person from another with a high degree of accuracy.Database searches: DNA profiles obtained from crime scene evidence can be compared against DNA databases that store profiles of convicted criminals, arrestees, and unidentified individuals. If a match is found between the crime scene DNA and a profile in the database, it can provide a lead in identifying a suspect.Individual identification: If there is no immediate match in the DNA databases, investigators may collect DNA samples from potential suspects or individuals connected to the case, such as victims or witnesses. By comparing their DNA profiles to the crime scene DNA, investigators can exclude innocent individuals and focus on potential suspects.Statistical analysis: Forensic scientists and statisticians use probability calculations to evaluate the significance of a DNA match. These calculations estimate the likelihood of finding the observed DNA profile in the general population, aiding in assessing the strength of the evidence.Courtroom presentation: When DNA evidence is introduced in court, forensic experts testify about the reliability and significance of the findings. They explain the methodology used, the statistical analysis performed, and the match between the crime scene DNA and the defendant's DNA profile, if applicable.Corroboration with other evidence: DNA evidence is often used in conjunction with other types of evidence, such as eyewitness testimony, fingerprints, or surveillance footage. Corroborating evidence strengthens the overall case and supports the prosecution's argument for the defendant's guilt.It's important to note that while DNA evidence is highly reliable, human error or mishandling of samples can introduce inaccuracies. Therefore, proper collection, preservation, analysis, and interpretation of DNA evidence are crucial to ensure its effectiveness in convicting criminals.According to new court filings, Bryan Kohberger's defense team is challenging the validity of the DNA samples that have been taken and used to connect Kohberger to the crime scene. In this episode, we take a look at the new claims by Kohberger's team and if there is any validity to them.(commercial at 8:31)to contact me:bobbycapucci@protonmail.comsource:Bryan Kohberger Lawyer Says No Victim DNA Found in Suspect's Home or Car (newsweek.com)

(SPOILER) Your Daily Roundup covers tomorrow's podcast guest, DONDI with a statistical abnormality last night, the Joe Schmo Show, Love is Blind had more engagements that weren't shown, & Paradise on Hulu has their best episode yet.   Music written by Jimmer Podrasky (B'Jingo Songs/Machia Music/Bug Music BMI) Ads:   Factor Meals - 50% off your first box PLUS free shipping at https://factormeals.com/realitysteve50off Promo Code: realitysteve50off Learn more about your ad choices. Visit megaphone.fm/adchoices

The fulfillment of over 300 prophecies about Jesus wasn't a coincidence—it was divine certainty.

In this episode, we honor and celebrate the remarkable career and contributions of Dr. Jim Drackley from the University of Illinois, a pioneer in dairy science and animal nutrition. Jim's work has reshaped our understanding of dairy cow health, metabolism and nutrition. Dr. Cardoso, Dr. Overton, and co-host Dr. Jeff Elliott are former coworkers or graduate students of Dr. Drackley's. (0:11)Dr. Drackley begins by telling the audience about his background and how he became a dairy scientist. He talks about several of his mentors during his schooling. (9:20)Speaking of mentors, Scott asks Dr. Elliot, Dr. Overton, and Dr. Cardoso to describe Dr. Drackley's mentorship of them during teaching, graduate school and beyond. They praise Jim's thoughtfulness and hands-off approach that taught them to think critically. (14:06)When it comes to major contributions to the industry, Dr. Drackley names two that he is most proud of: expanding the knowledge of controlled energy dry cow programs using straw and corn silage to help control energy intake and his work in baby calf nutrition, specifically feeding more milk on-farm to calves. Dr. Overton adds that a visionary paper Dr. Drackley wrote in the late 1990s where he referred to the transition period as the final frontier as another important contribution. Dr. Cardoso also emphasizes Dr. Drackley's excellent teaching skills as another achievement of note. (20:58)Dr. Drackley says the teaching part of the job was the part that scared him the most when he started. Graduate school offers little formal teaching training and experience so one learns on the job. Jim describes his teaching style as organized, and he liked teaching in an outline fashion, working from the main topic down through the details. He worked hard to get to know the students, learn their names as soon as possible, and be approachable and empathetic. Later in his career, he used a flipped classroom approach for a lactation biology course and enjoyed it. (28:45)The panel then reminisces about how much technology has changed from a teaching perspective as well as statistical analysis. Lecturing has moved from chalkboard to overhead projector to slide carousel to PowerPoint. Statistical analysis has moved from punch cards or sending data to a mainframe computer to performing real-time statistical analysis on your computer at your desk. (33:00)Jeff, Phil, and Tom share stories and memories of their time with Jim. (37:30)Scott asks Jim what challenges will need to be tackled in the future in the dairy industry. He lists environmental aspects (nitrogen, phosphorus, and greenhouse gases), increasing economic pressure on farms, and improving forage production and efficiency of nutrient use. Dr. Drackley's advice for young researchers is to carve out a niche for yourself. (47:40)Dr. Elliott, Dr. Overton, and Dr. Cardoso share some final thoughts paying tribute to Dr. Drackley and his accomplished career. (1:06:18)Please subscribe and share with your industry friends to invite more people to join us at the Real Science Exchange virtual pub table.  If you want one of our Real Science Exchange t-shirts, screenshot your rating, review, or subscription, and email a picture to anh.marketing@balchem.com. Include your size and mailing address, and we'll mail you a shirt.

On the 234th episode of the GreatBase Tennis podcast, Steve Smith and Dave Secker talk tennis with Mat Cloer. Mat holds a senior position with the USTA's  Player Development Department. Their conversation is centered around tennis analytics.The saga of the GreatBase Tennis Education (GBTE) continues. Our non-profit organization shares free educational tennis content. 225+ podcasts, 5 educational courses, 15+ years of daily Facebook posts, 1000+ Instagram posts and much, much more.

Martyn & Steve catch up on some tournaments from the latter stages of 2024.Grant85 comes on to tell us about his win at Underworld Cup!Ian patches in to tell us about Australia's largest BB event and a tournament held in his honour!The lads end the show with a look at the latest Blood Bowl Blog post from Drakenspear!Music from this episode: Get With You - The Damn TruthI Can't Stop Thinking About It - The DirtbombsO.P.P. - WimpsTinnitus - AusmuteantsYa Ya - Naked GiantsContact us: Join us on our Eye of Nuffle DiscordFind us on FacebookEmail - eyeofnuffle@gmail.com     

A breakdown of the Fangraphs statistical projections for the 2025 Yankees - who steps up, who steps back? Subscribe to PT on YouTube!Part of the Foul Territory Network

In this edition of the Fantasy Life Show, fantasy football experts Ian Hartitz and Dwain McFarland break down the four divisional matchups, game-by-game, and give you the biggest takeaways for postseason fantasy football, as well as what we can see in 2025 and beyond! Has Jayden Daniels established himself as not only a top fantasy quarterback, but also a top-tier real-life quarterback? Can Josh Allen do enough to finally get past the Chiefs in the conference finals? Will Saquon Barkley run all over the Commanders' defense? We're deep diving into the stats and analytics to give you cutting edge fantasy football analysis you won't find anywhere else! Whether you're watching your favorite team from the screen at home or you're in stands at the ballpark, there's an even better way to get in on the action! Check out our partners at DraftKings Sportsbook. New customers who bet $5 will INSTANTLY get $200 in bonus bets. Download the DraftKings Sportsbook app now and use our code FANTASYLIFE ______________________

The World Series is over and we're officially into the offseason (2:50). ... What did Chris learn out at First Pitch Arizona (9:15)? ... Bryce Miller's season really took off once he started using a knuckle curve (18:15). ... Where is the industry ranking Jacob deGrom, pitcher Shohei Ohtani and Shane McClanahan (23:53)? ... Paul Skenes and Garrett Crochet were big risers in Stuff+ (30:20). ... Cole Ragans didn't face the White Sox at all this year (39:47). ... News (46:35): Michael Wacha is back with the Royals. ... Which big names had their option picked up (52:25)? ... Which options were declined (1:01:00)? ... 13 players received the qualifying offer but will any accept (1:05:52)?  Fantasy Baseball Today is available for free on the Audacy app as well as Apple Podcasts, Spotify and wherever else you listen to podcasts.  Subscribe to our YouTube channel: youtube.com/FantasyBaseballToday Download and Follow Fantasy Baseball Today on Spotify: https://sptfy.com/QiKv Get awesome Fantasy Baseball Today merch here: http://bit.ly/3y8dUqi Follow FBT on TikTok: https://www.tiktok.com/@fbtpod?_t=8WyMkPdKOJ1&_r=1 Follow our FBT team on Twitter: @FBTPod, @CTowersCBS, @CBSScottWhite, @Roto_Frank Join our Facebook group at https://www.facebook.com/groups/fantasybaseballtoday Sign up for the FBT Newsletter at https://www.cbssports.com/newsletters/fantasy-baseball-today/ For more fantasy baseball coverage from CBS Sports, visit https://www.cbssports.com/fantasy/baseball/ To hear more from the CBS Sports Podcast Network, visit https://www.cbssports.com/podcasts/ You can listen to Fantasy Baseball Today on your smart speakers! Simply say "Alexa, play the latest episode of the Fantasy Baseball Today podcast" or "Hey Google, play the latest episode of the Fantasy Baseball Today podcast." To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices