Shows
The Texas Highway Radio ShowRed Dirt ProudPLAYLIST
Jarrod Birmingham & Kevin Fowler – Jesus & Johnny CashKylie Frey – My John WayneWade Bowen – ResurrectionDylan Kelly – HomeJessee Lee – Dive Bar SuperstarParker McCollum – Handle On YouRandy Rogers Band – Break ItselfDamn Quails – Fools GoldLarry Joe Taylor – I Feel A Party Coming OnJosh Weathers – Who’s Hanging The MoonJackson Taylor – Outlaws Ain’t Wanted AnymoreJack Mason – If She Was A Country SongRusty Weir – Don’t It Make You Wanna DanceBraxton Keith – Honky Tonk CityRandy Rogers & Wade Bowen – All I...2025-04-263h 24
Double P PodcastsLet's Solve MOONFLOWER MURDERS, episode 6 | Recap Review Explained TheoryThe final episode revealed all the answers... but is there another question to solve: Did Alan Conway base Atticus Pünd on Andreas Patakis?? Let's Solve MOONFLOWER MURDERS Episode 6 - A sequel/prequel whodunnit! This meta spin on a Golden Age Murder Mystery features several fair play puzzles that you can solve! Who killed Frank Parris? Why did Stefan confess? How did Alan Conway solve it? Why didn't Alan tell the police? Who stabbed John Spencer? 00:00 Intro 00:04 Did you solve it? 00:46 Let's Solve Moonflower Murders 01:26 Solving when reading the book 03:45 Why didn't Alan te...2024-10-2111 minDouble P PodcastsLet's Solve MOONFLOWER MURDERS, episode 6 | Recap Review Explained TheoryThe final episode revealed all the answers... but is there another question to solve: Did Alan Conway base Atticus Pünd on Andreas Patakis?? Let's Solve MOONFLOWER MURDERS Episode 6 - A sequel/prequel whodunnit! This meta spin on a Golden Age Murder Mystery features several fair play puzzles that you can solve! Who killed Frank Parris? Why did Stefan confess? How did Alan Conway solve it? Why didn't Alan tell the police? Who stabbed John Spencer? 00:00 Intro 00:04 Did you solve it? 00:46 Let's Solve Moonflower Murders 01:26 Solving when reading the book 03:45 Why didn't Alan te...2024-10-2111 min
Double P PodcastsLet's Solve MOONFLOWER MURDERS, episode 5 | Recap Review Explained TheoryWe know who killed Melissa James... and do we know Cecily fate too??? Let's Solve MOONFLOWER MURDERS Episode 5 - A sequel/prequel whodunnit! This meta spin on a Golden Age Murder Mystery features several fair play puzzles that you can solve! Who killed Frank Parris? Why did Stefan confess? How did Alan Conway solve it? Why didn't Alan tell the police? Who stabbed John Spencer? 00:00 Intro 00:04 Does Book Solution = Real Life Solution? 00:46 Let's Solve Moonflower Murders 01:37 Mabel Hall Murders description 03:07 Subscriber Drive 03:58 Missing Person Profile: Cecily MacNeil 04:24 Victim Profile: Frank Parris2024-10-1415 minDouble P PodcastsLet's Solve MOONFLOWER MURDERS, episode 5 | Recap Review Explained TheoryWe know who killed Melissa James... and do we know Cecily fate too??? Let's Solve MOONFLOWER MURDERS Episode 5 - A sequel/prequel whodunnit! This meta spin on a Golden Age Murder Mystery features several fair play puzzles that you can solve! Who killed Frank Parris? Why did Stefan confess? How did Alan Conway solve it? Why didn't Alan tell the police? Who stabbed John Spencer? 00:00 Intro 00:04 Does Book Solution = Real Life Solution? 00:46 Let's Solve Moonflower Murders 01:37 Mabel Hall Murders description 03:07 Subscriber Drive 03:58 Missing Person Profile: Cecily MacNeil 04:24 Victim Profile: Frank Parris2024-10-1415 min
Double P PodcastsLet's Solve MOONFLOWER MURDERS, episode 4 | Recap Review Explained TheoryGut check time for detectives - check John Spencer's gut for that dagger. A publishing company rejects Susan, while Susan rejects an author. Plus, Atticus gets in some cardio! Let's Solve MOONFLOWER MURDERS Episode 4 - A sequel/prequel whodunnit! This meta spin on a Golden Age Murder Mystery features several fair play puzzles that you can solve! Who killed Frank Parris? Why did Stefan confess? Who killed Melissa James? Where is Cecily? How did Alan Conway solve it? Why didn't Alan tell the police? 00:00 Intro 00:02 New Question: Who stabbed John Spencer? 00:54 Let's Solve Moonflower Murders2024-10-0717 minDouble P PodcastsLet's Solve MOONFLOWER MURDERS, episode 4 | Recap Review Explained TheoryGut check time for detectives - check John Spencer's gut for that dagger. A publishing company rejects Susan, while Susan rejects an author. Plus, Atticus gets in some cardio! Let's Solve MOONFLOWER MURDERS Episode 4 - A sequel/prequel whodunnit! This meta spin on a Golden Age Murder Mystery features several fair play puzzles that you can solve! Who killed Frank Parris? Why did Stefan confess? Who killed Melissa James? Where is Cecily? How did Alan Conway solve it? Why didn't Alan tell the police? 00:00 Intro 00:02 New Question: Who stabbed John Spencer? 00:54 Let's Solve Moonflower Murders2024-10-0717 min
Double P PodcastsLet's Solve MOONFLOWER MURDERS, episode 3 | Recap Review Explained TheoryEven more suspects are on the board, but does anyone want Susan to solve the missing person case? Let's Solve MOONFLOWER MURDERS Episode 3 - A sequel/prequel whodunnit! This meta spin on a Golden Age Murder Mystery features several fair play puzzles that you can solve! Who killed Frank Parris? Why did Stefan confess? Who killed Melissa James? Where is Cecily? How did Alan Conway solve it? Why didn't Alan tell the police? 00:00 Intro 00:02 Book & Real Life: Funhouse Mirror 00:51 Let's Solve Moonflower Murders 01:34 To Speculate or Not! 03:28 The Next Cozy Mystery in the...2024-09-3019 minDouble P PodcastsLet's Solve MOONFLOWER MURDERS, episode 3 | Recap Review Explained TheoryEven more suspects are on the board, but does anyone want Susan to solve the missing person case? Let's Solve MOONFLOWER MURDERS Episode 3 - A sequel/prequel whodunnit! This meta spin on a Golden Age Murder Mystery features several fair play puzzles that you can solve! Who killed Frank Parris? Why did Stefan confess? Who killed Melissa James? Where is Cecily? How did Alan Conway solve it? Why didn't Alan tell the police? 00:00 Intro 00:02 Book & Real Life: Funhouse Mirror 00:51 Let's Solve Moonflower Murders 01:34 To Speculate or Not! 03:28 The Next Cozy Mystery in the...2024-09-3019 min
Double P PodcastsLet's Solve MOONFLOWER MURDERS, episode 2 | Recap Review Explained TheorySusan and Atticus check in to their respective hotels, question suspects and could be closer to danger than they realize! Let's Solve MOONFLOWER MURDERS Episode 2 - A sequel/prequel whodunnit! This meta spin on a Golden Age Murder Mystery features several fair play puzzles that you can solve! Who killed Frank Parris? Why did Stefan confess? Who killed Melissa James? Where is Cecily? How did Alan Conway solve it? Why didn't Alan tell the police? 00:00 Intro 00:02 The Past and the Present 01:02 Let's Solve Moonflower Murders 01:52 2 More Questions 02:44 Missing Person Profile: Cecily MacNeil 03:53 Victim Profile: Frank Parris 04:41 Suspect...2024-09-2522 minDouble P PodcastsLet's Solve MOONFLOWER MURDERS, episode 2 | Recap Review Explained TheorySusan and Atticus check in to their respective hotels, question suspects and could be closer to danger than they realize! Let's Solve MOONFLOWER MURDERS Episode 2 - A sequel/prequel whodunnit! This meta spin on a Golden Age Murder Mystery features several fair play puzzles that you can solve! Who killed Frank Parris? Why did Stefan confess? Who killed Melissa James? Where is Cecily? How did Alan Conway solve it? Why didn't Alan tell the police? 00:00 Intro 00:02 The Past and the Present 01:02 Let's Solve Moonflower Murders 01:52 2 More Questions 02:44 Missing Person Profile: Cecily MacNeil 03:53 Victim Profile: Frank Parris 04:41 Suspect...2024-09-2522 min
Double P PodcastsLet's Solve MOONFLOWER MURDERS, episode 1 | Recap Review Explained TheorySusan sees Atticus, reads Atticus, and must become Atticus to save Cecily! Let's Solve MOONFLOWER MURDERS Episode 1 - A sequel/prequel whodunnit! This meta spin on a Golden Age Murder Mystery features several fair play puzzles that you can solve! Who killed Frank Parris? Why did Stefan confess? Who killed Melissa James? Where is Cecily? 00:00 Intro 00:02 Sequel Prequel 00:18 Let's Solve Moonflower Murders 01:00 Reviewing the 4 Questions 02:32 Mable Hall Murders coming 03:03 Other 'Let's Solve' videos 03:32 Missing Person Profile: Cecily MacNeil 05:16 Victim Profile: Frank Parris 06:14 Suspect: Susan 07:19 Suspect: Andreas 07:56 Suspect...2024-09-1620 minDouble P PodcastsLet's Solve MOONFLOWER MURDERS, episode 1 | Recap Review Explained TheorySusan sees Atticus, reads Atticus, and must become Atticus to save Cecily! Let's Solve MOONFLOWER MURDERS Episode 1 - A sequel/prequel whodunnit! This meta spin on a Golden Age Murder Mystery features several fair play puzzles that you can solve! Who killed Frank Parris? Why did Stefan confess? Who killed Melissa James? Where is Cecily? 00:00 Intro 00:02 Sequel Prequel 00:18 Let's Solve Moonflower Murders 01:00 Reviewing the 4 Questions 02:32 Mable Hall Murders coming 03:03 Other 'Let's Solve' videos 03:32 Missing Person Profile: Cecily MacNeil 05:16 Victim Profile: Frank Parris 06:14 Suspect: Susan 07:19 Suspect: Andreas 07:56 Suspect...2024-09-1620 min
That Driving BeatThat Driving Beat - Episode 326Uwe has pulled together some of his favorite soul and R&B songs by female artists, and James has a mix of records including a tribute to a Louisville legend and a record with a label so damaged he couldn't tell what it was when he first found it. It's another 2 hour 1960s radio dance party!-Originally broadcast August 11, 2024-Willie Mitchell / That Driving BeatThe Dells / Wear It On Our FaceShirley Ellis / Soul TimeLaura Lee / To Win Your HeartPeggy March / If Y...2024-08-131h 54
Instant TriviaEpisode 1232 - Flying maneuvers - "for" a song - Arabic - British inventions - Classic litWelcome to the Instant Trivia podcast episode 1232, where we ask the best trivia on the Internet.
Round 1. Category: Flying Maneuvers
1: To do it to a fire, you cover it, to do it to a plane, you lower one wing.
Bank it.
2: Noisy term for flying low over a person or area.
Buzzing.
3: Also a Coney Island ride, it's a 360-degree maneuver that starts by pointing the nose upward.
Loop-the-loop.
4: In this roll named for a container, the plane revolves once on its longitudinal axis.
Barrel roll.
5: Pitch is when the plane's nose moves up or down, and...2024-06-2506 min
Touchdown Jaguars!Episode 77: Titans /Jaguars Week 18 Analysis: The Jag's Regular Season Collapse is CompleteSend us a textEver wondered what it feels like to watch your team’s high hopes crumble to dust? Strap in as we, Phil Smith and James Johnson, tackle the Jacksonville Jaguars' season letdown with candid commentary and a sharp eye on where it all went awry. Our latest episode peels back the layers of the Jaguars’ missed playoff mark, dissecting the strategic missteps against the Titans and the disappointing lack of urgency that plagued the team. We're not holding back as we scrutinize the front office's decisions and the ripple effects of coaching changes that have...2024-01-121h 04
Indieheads Podcast244: Taylor Swift For Boys (ft. Barely March)
You could have heard this episode 48 hours early by supporting us on Patreon for as low as $1/month: https://www.patreon.com/IndieheadsPodcast.
On this episode, Matty, Gavin, Grant and special guest Barely March look at a playlist entitled Taylor Swift For Boys. I hope you can infer what that means.
Songs discussed:
Drake – Marvins Room
Bob Dylan – Tangled up in Blue
Eamon – Fuck It
Outkast – Roses
Ben Folds Five – Song for the Dumped
Hoodie Allen – Two Lips
Rascal Flatts – What Hurts The Most
Hopsin – Don’t Trust ‘Em
Rancid – Fall Back Down
Toby Keith – How Do You Like...2023-10-1700 min
The Monday Night Warfare PodcastEpisode 16: World War 3 1995 ReviewWelcome to another episode of The Monday Night Warfare Podcast, where JR Judy and Wade Skaggs take a look back at and review the weekly television wars between the WWF, WCW, and ECW!
On this week's podcast:
WCW World War 3 1995!
6:32 Hulk Hogan, Randy Savage, & Sting discuss Dave Meltzer and The Wrestling Observer Reports
10:33 WCW World Television Championship: Johnny B Badd (c) vs. DDP
19:20 Taped Fist Match: Big Bubba Rogers vs. Hacksaw Jim Duggan
25:37 Ric Flair Promo
27:59 Bull Nakano & Akira Hokuto w/ Sonny...2023-04-201h 28Indieheads Podcast213: Q4 2022 Catchup (Part 2) [(feat. Taylor Grimes & Grace Robins-Somerville]
You could have heard this episode 48 hours early by supporting us on Patreon for as low as $1/month: https://www.patreon.com/IndieheadsPodcast.
On this episode, Matty and Jackie continue their Q4 2022 catchup with special guests Taylor Grimes & Grace Robins-Somerville.
Read Swim Into The Sound: https://swimintothesound.com/
Follow Grace on Twitter: https://twitter.com/grace_roso
Timestamps/Records discussed:
1:57 – Plains – I Walked With You A Ways
6:45 – Fleshwater – The Razor’s Apple
11:40 – Shutups – I can’t eat nearly as much as I want to vomit
23:33 – Lowertown – I Love To Lie
29:06 – SZA – SOS
35:15 – Little...2023-01-1300 minIndieheads Podcast212: Q4 2022 Catchup (feat. Taylor Grimes & Grace Robins-Somerville)
You could have heard this episode 48 hours early by supporting us on Patreon for as low as $1/month: https://www.patreon.com/IndieheadsPodcast.
On this episode, Matty and Jackie are joined by special guests Taylor Grimes & Grace Robins-Somerville as they catch up on some notable & favorite records of Q4 2022.
Read Swim Into The Sound: https://swimintothesound.com/
Follow Grace on Twitter: https://twitter.com/grace_roso
Timestamps/Records discussed:
5:51 – Matty Lightning Round (Enumclaw – Save The Baby, Disq – Desperately Imagining Someplace Quiet, Sorry – Anywhere But Here, Alms – Did I Ask?, Jobber – Hell In A Cell...2023-01-1100 min
The Monday Night Warfare PodcastEpisode 15: Heartbreak & TriumphWelcome to another episode of The Monday Night Warfare Podcast, where JR Judy and Wade Skaggs take a look back at and review the weekly television wars between the WWF, WCW, and ECW!
On this week's podcast:
Monday Night RAW 11/20/1995:
Hakushi vs. The 1-2-3 Kid w/Ted DiBiase
Skip w/Sunny vs. Savio Vega
Diesel Promo
Shawn Michaels vs. Owen Hart
WCW Monday Nitro 11/20/1995:
Scott Norton vs. Shark
Eddie Guerrero vs. Ric Flair w/Flyin Brian Pillman
Big Bubba Rogers vs. Road Warrior Hawk
Sting v...2022-12-261h 20
Rabbitt Stew ComicsEpisode 357Non-Marvel/DC September 2022 Solicits Comic Reviews: DC: Aquaman and Flash: Voidsong 1 by Jackson Lanzing, Collin Kelly, Vasco Georgiev, Rain Beredo Black Adam 1 by Christopher Priest, Rafa Sandoval, Matt Herms Dark Crisis: Young Justice 1 by Meghan Fitzmartin, Laura Braga, Luis Guerrero Flash 783 by Jeremy Adams, Amancay Nahuelpan, Jeromy Cox Earth Prime 6: Hero's Twilight Milestones in History by Reginald Hudlin, Steven Barnes, Amy Chu, Melody Cooper, Leon Chills, Alice Randall, Toure, Tananarive Due, Pat Charles, Kathryn Parsons, Francesco Francavilla, Jamal Igle, Ray-Anthony Height, Denys Cowan, Eric Battle, Don Hudson, Ron Wilson, Arvell Jones, Maria Laura Sanapo...2022-06-253h 18
Powertools MixshowEpisode 1-22-22 Ft: Christo, Richard Vission, & David Delano (1Hour Mix)Social Media Handles:@wearepowertools@iamdjchristo@richardvission@daviddelanoChristo Tracklist:
James Hype & Tita Lau - Disconnected
Wade - Shake & Bounce
Trace - Gas Pedal Ft. Azim G
ÖWNBOSS, Sevek - Move Your Body
Sidepiece - Sextacy
TALK BREAK
Hugel & Jude & Frank & Twolate - La Candela Viva
Steve Lawler & Raffi Habel - Boom Shack (Will Taylor Remix)
Chemical Surf, Kess Ross Ft. Titus - Bubbalicious
Biscuits - Locco (Extended Mix)
David Herrlich - Take It
Malcolm Zeller - The Rhythm
Richard Vission Tr...2022-01-231h 51
Learning Bayesian StatisticsBayesian Stats for the Behavioral & Neural Sciences, with Todd HudsonGet a 30% discount on Todd's book by entering the code BDABNS22 at checkout!The behavioral and neural sciences are a nerdy interest of mine, but I didn’t dedicate any episode to that topic yet. But life brings you gifts sometimes (especially around Christmas…), and here that gift is a book, Bayesian Data Analysis for the Behavioral and Neural Sciences, by Todd Hudson.Todd is a part of the faculty at New York University Grossman School of Medicine and also the New York University Tandon School of Engineering. He is a computational neuroscientist working in seve...2021-12-2856 min
Learning Bayesian StatisticsElection forecasting models in Germany, with Marcus GrossDid I mention I like survey data, especially in the context of electoral forecasting? Probably not, as I’m a pretty shy and reserved man. Why are you laughing?? Yeah, that’s true, I’m not that shy… but I did mention my interest for electoral forecasting already!And before doing a full episode where I’ll talk about French elections (yes, that’ll come at one point), let’s talk about one of France’s neighbors — Germany. Our German friends had federal elections a few weeks ago — consequential elections, since they had the hard task of replacing Angela Mer...2021-12-0958 minLearning Bayesian StatisticsElection forecasting models in Germany, with Marcus GrossDid I mention I like survey data, especially in the context of electoral forecasting? Probably not, as I’m a pretty shy and reserved man. Why are you laughing?? Yeah, that’s true, I’m not that shy… but I did mention my interest for electoral forecasting already!And before doing a full episode where I’ll talk about French elections (yes, that’ll come at one point), let’s talk about one of France’s neighbors — Germany. Our German friends had federal elections a few weeks ago — consequential elections, since they had the hard task of replacing Angela Mer...2021-12-0958 min
Learning Bayesian StatisticsBernoulli's Fallacy & the Crisis of Modern Science, with Aubrey ClaytonYou know I love epistemology — the study of how we know what we know. It was high time I dedicated a whole episode to this topic. And what better guest than Aubrey Clayton, the author of the book Bernoulli's Fallacy: Statistical Illogic and the Crisis of Modern Science. I’m in the middle of reading it, and it’s a really great read!Aubrey is a mathematician in Boston who teaches the philosophy of probability and statistics at the Harvard Extension School. He holds a PhD in mathematics from the University of California, Berkeley, and his writing has ap...2021-11-221h 09Learning Bayesian StatisticsBernoulli's Fallacy & the Crisis of Modern Science, with Aubrey ClaytonYou know I love epistemology — the study of how we know what we know. It was high time I dedicated a whole episode to this topic. And what better guest than Aubrey Clayton, the author of the book Bernoulli's Fallacy: Statistical Illogic and the Crisis of Modern Science. I’m in the middle of reading it, and it’s a really great read!Aubrey is a mathematician in Boston who teaches the philosophy of probability and statistics at the Harvard Extension School. He holds a PhD in mathematics from the University of California, Berkeley, and his writing has ap...2021-11-221h 09
Learning Bayesian StatisticsTa(l)king Risks & Embracing Uncertainty, with David SpiegelhalterFolks, this is the 50th episode of LBS — 50th! I never would have thought that there were so many Bayesian nerds in the world when I first interviewed Osvaldo Martin more than 2 years ago. To celebrate that random, crazy adventure, I wanted to do a special episode at any random point, and so it looks like it’s gonna be #50! This episode is special by its guest, not its number — although my guest knows a thing or two about numbers. Most recently, he wrote the book Covid by Numbers.A mathematical statistician dedicated to helping the gen...2021-11-061h 04Learning Bayesian StatisticsTa(l)king Risks & Embracing Uncertainty, with David SpiegelhalterFolks, this is the 50th episode of LBS — 50th! I never would have thought that there were so many Bayesian nerds in the world when I first interviewed Osvaldo Martin more than 2 years ago. To celebrate that random, crazy adventure, I wanted to do a special episode at any random point, and so it looks like it’s gonna be #50! This episode is special by its guest, not its number — although my guest knows a thing or two about numbers. Most recently, he wrote the book Covid by Numbers.A mathematical statistician dedicated to helping the gen...2021-11-061h 04
Learning Bayesian StatisticsThe Present & Future of Baseball Analytics, with Ehsan BokhariIt’s been a while since I did an episode about sports analytics, right? And you know it’s a field I love, so… let’s do that!For this episode, I was happy to host Ehsan Bokhari, not only because he’s a first-hour listener of the podcast and spread the word about it whenever he can, but mainly because he knows baseball analytics very well!Currently Senior Director of Strategic Decision Making with the Houston Astros, he previously worked there as Senior Director of Player Evaluation and Director of R&D. And before that, he w...2021-10-221h 12Learning Bayesian StatisticsThe Present & Future of Baseball Analytics, with Ehsan BokhariIt’s been a while since I did an episode about sports analytics, right? And you know it’s a field I love, so… let’s do that!For this episode, I was happy to host Ehsan Bokhari, not only because he’s a first-hour listener of the podcast and spread the word about it whenever he can, but mainly because he knows baseball analytics very well!Currently Senior Director of Strategic Decision Making with the Houston Astros, he previously worked there as Senior Director of Player Evaluation and Director of R&D. And before that, he w...2021-10-221h 12
Learning Bayesian StatisticsMixed Effects Models & Beautiful Plots, with TJ MahrIn episode 40, we already got a glimpse of how useful Bayesian stats are in the speech and communication sciences. To talk about the frontiers of this field (and, as it happens, about best practices to make beautiful plots and pictures), I invited TJ Mahr on the show.A speech pathologist turned data scientist, TJ earned his PhD in communication sciences and disorders in Madison, Wisconsin. On paper, he was studying speech development, word recognition and word learning in preschoolers, but over the course of his graduate training, he discovered that he really, really likes programming and working...2021-10-081h 01Learning Bayesian StatisticsMixed Effects Models & Beautiful Plots, with TJ MahrIn episode 40, we already got a glimpse of how useful Bayesian stats are in the speech and communication sciences. To talk about the frontiers of this field (and, as it happens, about best practices to make beautiful plots and pictures), I invited TJ Mahr on the show.A speech pathologist turned data scientist, TJ earned his PhD in communication sciences and disorders in Madison, Wisconsin. On paper, he was studying speech development, word recognition and word learning in preschoolers, but over the course of his graduate training, he discovered that he really, really likes programming and working...2021-10-081h 01
Learning Bayesian StatisticsBayes in Physics & Astrophysics, with JJ RubyThe field of physics has brought tremendous advances to modern Bayesian statistics, especially inspiring the current algorithms enabling all of us to enjoy the Bayesian power on our own laptops.I did receive some physicians already on the show, like Michael Betancourt in episode 6, but in my legendary ungratefulness I hadn’t dedicated a whole episode to talk about physics yet.Well that’s now taken care of, thanks to JJ Ruby. Apart from having really good tastes (he’s indeed a fan of this very podcast), JJ is currently a postdoctoral fellow for the Center...2021-09-211h 15Learning Bayesian StatisticsBayes in Physics & Astrophysics, with JJ RubyThe field of physics has brought tremendous advances to modern Bayesian statistics, especially inspiring the current algorithms enabling all of us to enjoy the Bayesian power on our own laptops.I did receive some physicians already on the show, like Michael Betancourt in episode 6, but in my legendary ungratefulness I hadn’t dedicated a whole episode to talk about physics yet.Well that’s now taken care of, thanks to JJ Ruby. Apart from having really good tastes (he’s indeed a fan of this very podcast), JJ is currently a postdoctoral fellow for the Center...2021-09-211h 15
Rabbitt Stew ComicsEpisode 315Comic Reviews: Aquaman 80th Anniversary 100-Page Super Spectacular by Jeff Parker, Doc Shaner, Geoff Johns, Paul Pelletier, Norm Rapmund, Hi-Fi, Michael Moreci, Pop Mhan, Tony Avina, Stephanie Phillips, Hendry Prasetya, Ulises Arreola, Shawn Aldridge, Tom Derenick, Nick Filardi, Marguerite Bennett, Trung Le Nguyen, Jordie Bellaire, Cavan Scott, Scot Eaton, Dan Watters, Miguel Mendonca, Daniel Henriques, Romulo Fajardo Jr, Dan Jurgens, Steve Epting, Jeromy Cox, Chuck Brown, Valentine De Landro, Marissa Louise, Brandon Thomas, Diego Olortegui, Wade Von Grawbadger, Adriano Lucas Harley Quinn Annual 2021 by Stephanie Phillips, David Lafuente, Marco Failla, Jon Sommariva, Miquel Muerto Midnighter Annual 2021 by Becky...2021-09-042h 33
Learning Bayesian StatisticsSilly & Empowering Statistics, with Chelsea Parlett-PelleritiYou wanna know something funny? A sentence from this episode became a meme. And people even made stickers out of it! Ok, that’s not true. But if someone could pull off something like that, it would surely be Chelsea Parlett-Pelleriti.Indeed, Chelsea’s research focuses on using statistics and machine learning on behavioral data, but her more general goal is to empower people to be able to do their own statistical analyses, through consulting, education, and, as you may have seen, stats memes on Twitter.A full-time teacher, researcher and statistical consultant, Chelsea earned an M...2021-08-301h 13Learning Bayesian StatisticsSilly & Empowering Statistics, with Chelsea Parlett-PelleritiYou wanna know something funny? A sentence from this episode became a meme. And people even made stickers out of it! Ok, that’s not true. But if someone could pull off something like that, it would surely be Chelsea Parlett-Pelleriti.Indeed, Chelsea’s research focuses on using statistics and machine learning on behavioral data, but her more general goal is to empower people to be able to do their own statistical analyses, through consulting, education, and, as you may have seen, stats memes on Twitter.A full-time teacher, researcher and statistical consultant, Chelsea earned an M...2021-08-301h 13
Learning Bayesian StatisticsBiostats & Clinical Trial Design, with Frank HarrellAs a podcaster, I discovered that there are guests for which the hardest is to know when to stop the conversation. They could talk for hours and that would make for at least 10 fantastic episodes. Frank Harrell is one of those guests. To me, our conversation was both fascinating — thanks to Frank’s expertise and the width and depth of topics we touched on — and frustrating — I still had a gazillion questions for him!But rest assured, we talked about intent to treat and randomization, proportional odds, clinical trial design, bio stats and covid19, and even which mistakes...2021-08-101h 08Learning Bayesian StatisticsBiostats & Clinical Trial Design, with Frank HarrellAs a podcaster, I discovered that there are guests for which the hardest is to know when to stop the conversation. They could talk for hours and that would make for at least 10 fantastic episodes. Frank Harrell is one of those guests. To me, our conversation was both fascinating — thanks to Frank’s expertise and the width and depth of topics we touched on — and frustrating — I still had a gazillion questions for him!But rest assured, we talked about intent to treat and randomization, proportional odds, clinical trial design, bio stats and covid19, and even which mistakes...2021-08-101h 08
Learning Bayesian StatisticsBuilding Bayesian Models at scale, with Rémi LoufEpisode sponsored by Paperpile: paperpile.comGet 20% off until December 31st with promo code GOODBAYESIAN21Bonjour my dear Bayesians! Yes, it was bound to happen one day — and this day has finally come. Here is the first ever 100% French speaking ‘Learn Bayes Stats’ episode! Who is to blame, you ask? Well, who better than Rémi Louf?Rémi currently works as a senior data scientist at Ampersand, a big media marketing company in the US. He is the author and maintainer of several open source libraries, including MCX and BlackJAX. He holds a PhD in...2021-07-221h 15Learning Bayesian StatisticsBuilding Bayesian Models at scale, with Rémi LoufEpisode sponsored by Paperpile: paperpile.comGet 20% off until December 31st with promo code GOODBAYESIAN21Bonjour my dear Bayesians! Yes, it was bound to happen one day — and this day has finally come. Here is the first ever 100% French speaking ‘Learn Bayes Stats’ episode! Who is to blame, you ask? Well, who better than Rémi Louf?Rémi currently works as a senior data scientist at Ampersand, a big media marketing company in the US. He is the author and maintainer of several open source libraries, including MCX and BlackJAX. He holds a PhD in...2021-07-221h 15
Learning Bayesian StatisticsModeling Covid19, with Michael Osthege & Thomas VladeckEpisode sponsored by Paperpile: paperpile.comGet 20% off until December 31st with promo code GOODBAYESIAN21I don’t know if you’ve heard, but there is a virus that took over most of the world in the past year? I haven’t dedicated any episode to Covid yet. First because research was moving a lot — and fast. And second because modeling Covid is very, very hard.But we know more about it now, so I thought it was a good time to pause and ponder — how does the virus circulate? How can we model it a...2021-07-081h 22Learning Bayesian StatisticsModeling Covid19, with Michael Osthege & Thomas VladeckEpisode sponsored by Paperpile: paperpile.comGet 20% off until December 31st with promo code GOODBAYESIAN21I don’t know if you’ve heard, but there is a virus that took over most of the world in the past year? I haven’t dedicated any episode to Covid yet. First because research was moving a lot — and fast. And second because modeling Covid is very, very hard.But we know more about it now, so I thought it was a good time to pause and ponder — how does the virus circulate? How can we model it a...2021-07-081h 22
Down Trails of VictoryS1 E5--Jeff "The Jet" BergeronAttention passengers...Now boarding at Gate # 24...Jeff "The Jet" Bergeron, legendary Texas high school running back, takes listeners on a round trip, first class flight, as he cruises through: his early years at Port Neches Junior High;his historic All State and All American football career at Port Neches-Groves High School;his experiences as the #1 football recruit in the state of Texas;his post high school football career at the University of Houston, Stephen F. Austin University, Lamar University, and the S...2021-07-083h 05
Learning Bayesian StatisticsHow to Teach and Learn Bayesian Stats, with Mine DogucuEpisode sponsored by Paperpile: paperpile.comGet 20% off until December 31st with promo code GOODBAYESIAN21We often talk about applying Bayesian statistics on this podcast. But how do we teach them? What’s the best way to introduce them from a young age and make sure the skills students learn in the stats class are transferable?Well, lucky us, Mine Dogucu’s research tackles precisely those topics!An Assistant Professor of Teaching in the Department of Statistics at University of California Irvine, Mine is both an educator with an interest in stat...2021-06-241h 06Learning Bayesian StatisticsHow to Teach and Learn Bayesian Stats, with Mine DogucuEpisode sponsored by Paperpile: paperpile.comGet 20% off until December 31st with promo code GOODBAYESIAN21We often talk about applying Bayesian statistics on this podcast. But how do we teach them? What’s the best way to introduce them from a young age and make sure the skills students learn in the stats class are transferable?Well, lucky us, Mine Dogucu’s research tackles precisely those topics!An Assistant Professor of Teaching in the Department of Statistics at University of California Irvine, Mine is both an educator with an interest in stat...2021-06-241h 06
Learning Bayesian StatisticsThinking Bayes, with Allen DowneyLet’s think Bayes, shall we? And who better to do that than the author of the well known book, Think Bayes — Allen Downey himself! Since the second edition was just released, the timing couldn’t be better!Allen is a professor at Olin College and the author of books related to software and data science, including Think Python, Think Bayes, and Think Complexity. His blog, Probably Overthinking It, features articles on Bayesian probability and statistics. He holds a Ph.D. from U.C. Berkeley, and bachelors and masters degrees from MIT.In this special episod...2021-06-141h 04Learning Bayesian StatisticsThinking Bayes, with Allen DowneyLet’s think Bayes, shall we? And who better to do that than the author of the well known book, Think Bayes — Allen Downey himself! Since the second edition was just released, the timing couldn’t be better!Allen is a professor at Olin College and the author of books related to software and data science, including Think Python, Think Bayes, and Think Complexity. His blog, Probably Overthinking It, features articles on Bayesian probability and statistics. He holds a Ph.D. from U.C. Berkeley, and bachelors and masters degrees from MIT.In this special episod...2021-06-141h 04
Learning Bayesian StatisticsBayesian Stats for the Speech & Language Sciences, with Allison Hilger and Timo RoettgerWe all know about these accidental discoveries — penicillin, the heating power of microwaves, or the famous (and delicious) tarte tatin. I don’t know why, but I just love serendipity. And, as you’ll hear, this episode is deliciously full of it…Thanks to Allison Hilger and Timo Roettger, we’ll discover the world of linguistics, how Bayesian stats are helpful there, and how Paul Bürkner’s BRMS package has been instrumental in this field. To my surprise — and perhaps yours — the speech and language sciences are pretty quantitative and computational!As she recently discovered Bayesi...2021-05-281h 05Learning Bayesian StatisticsBayesian Stats for the Speech & Language Sciences, with Allison Hilger and Timo RoettgerWe all know about these accidental discoveries — penicillin, the heating power of microwaves, or the famous (and delicious) tarte tatin. I don’t know why, but I just love serendipity. And, as you’ll hear, this episode is deliciously full of it…Thanks to Allison Hilger and Timo Roettger, we’ll discover the world of linguistics, how Bayesian stats are helpful there, and how Paul Bürkner’s BRMS package has been instrumental in this field. To my surprise — and perhaps yours — the speech and language sciences are pretty quantitative and computational!As she recently discovered Bayesi...2021-05-281h 05
Learning Bayesian StatisticsSurvival Models & Biostatistics for Cancer Research, with Jacki BurosEpisode sponsored by Tidelift: tidelift.comIt’s been a while since we talked about biostatistics and bioinformatics on this podcast, so I thought it could be interesting to talk to Jacki Buros — and that was a very good idea!She’ll walk us through examples of Bayesian models she uses to, for instance, work on biomarker discovery for cancer immunotherapies. She’ll also introduce you to survival models — their usefulness, their powers and their challenges.Interestingly, all of this will highlight a handful of skills that Jacki would try to instill in her studen...2021-05-1459 minLearning Bayesian StatisticsSurvival Models & Biostatistics for Cancer Research, with Jacki BurosEpisode sponsored by Tidelift: tidelift.comIt’s been a while since we talked about biostatistics and bioinformatics on this podcast, so I thought it could be interesting to talk to Jacki Buros — and that was a very good idea!She’ll walk us through examples of Bayesian models she uses to, for instance, work on biomarker discovery for cancer immunotherapies. She’ll also introduce you to survival models — their usefulness, their powers and their challenges.Interestingly, all of this will highlight a handful of skills that Jacki would try to instill in her studen...2021-05-1459 min
Learning Bayesian StatisticsHow to Become a Good Bayesian (& Rap Artist), with Baba BrinkmanEpisode sponsored by Tidelift: tidelift.comImagine me rapping: "Let me show you how to be a good Bayesian. Change your predictions after taking information in, and if you’re thinking I’ll be less than amazing, let’s adjust those expectations!"What?? Nah, you’re right, I’m not as good as Baba Brinkman. Actually, the best to perform « Good Bayesian » live on the podcast would just be to invite him for an episode… Wait, isn’t that what I did???Well indeed! For this episode, I had the great pleasure of hosting rap artist...2021-04-301h 27Learning Bayesian StatisticsHow to Become a Good Bayesian (& Rap Artist), with Baba BrinkmanEpisode sponsored by Tidelift: tidelift.comImagine me rapping: "Let me show you how to be a good Bayesian. Change your predictions after taking information in, and if you’re thinking I’ll be less than amazing, let’s adjust those expectations!"What?? Nah, you’re right, I’m not as good as Baba Brinkman. Actually, the best to perform « Good Bayesian » live on the podcast would just be to invite him for an episode… Wait, isn’t that what I did???Well indeed! For this episode, I had the great pleasure of hosting rap artist...2021-04-301h 27
Educationally SpeakingHow to talk to your kids about race, racism and anti-racismRace and racism have always been hot button issues in our society, but recent events have really seemed to push these topics to the forefront of everyone’s mind, including our youth.
Discussing the topics of race and racism can be complicated, but it is always necessary. So how does a parent properly and effectively begin and continue this discussion with their child or children?
Guests:
Dr. Jay Marks, Oakland Schools’ Diversity and Equity Consultant
Dr. Ashelin Currie, Oakland Schools’ Literacy Consultant
Jianna Taylor, English Language Arts, Multi-tiered Systems of Support and School...2021-04-191h 09
Learning Bayesian StatisticsProphet, Time Series & Causal Inference, with Sean TaylorEpisode sponsored by Tidelift: tidelift.comI don’t know about you, but the notion of time is really intriguing to me: it’s a purely artificial notion; we humans invented it — as an experiment, I asked my cat what time it was one day; needless to say it wasn’t very conclusive… And yet, the notion of time is so central to our lives — our work, leisures and projects depend on it.So much so that time series predictions represent a big part of the statistics and machine learning world. And to talk about all that, wh...2021-04-161h 06Learning Bayesian StatisticsProphet, Time Series & Causal Inference, with Sean TaylorEpisode sponsored by Tidelift: tidelift.comI don’t know about you, but the notion of time is really intriguing to me: it’s a purely artificial notion; we humans invented it — as an experiment, I asked my cat what time it was one day; needless to say it wasn’t very conclusive… And yet, the notion of time is so central to our lives — our work, leisures and projects depend on it.So much so that time series predictions represent a big part of the statistics and machine learning world. And to talk about all that, wh...2021-04-161h 06
Learning Bayesian StatisticsBayesian Non-Parametrics & Developing Turing.jl, with Martin TrappEpisode sponsored by Tidelift: tidelift.comI bet you already heard of Bayesian nonparametric models, at least on this very podcast. We already talked about Dirichlet Processes with Karin Knudson on episode 4, and then about Gaussian Processes with Elizaveta Semenova on episode 21. Now we’re gonna dive into the mathematical properties of these objects, to understand them better — because, as you may know, Bayesian nonparametrics are quite powerful but also very hard to fit!Along the way, you’ll learn about probabilistic circuits, sum-product networks and — what a delight — you’ll hear from the Julia community! I...2021-03-301h 09Learning Bayesian StatisticsBayesian Non-Parametrics & Developing Turing.jl, with Martin TrappEpisode sponsored by Tidelift: tidelift.comI bet you already heard of Bayesian nonparametric models, at least on this very podcast. We already talked about Dirichlet Processes with Karin Knudson on episode 4, and then about Gaussian Processes with Elizaveta Semenova on episode 21. Now we’re gonna dive into the mathematical properties of these objects, to understand them better — because, as you may know, Bayesian nonparametrics are quite powerful but also very hard to fit!Along the way, you’ll learn about probabilistic circuits, sum-product networks and — what a delight — you’ll hear from the Julia community! I...2021-03-301h 09
Learning Bayesian StatisticsThe Past, Present & Future of BRMS, with Paul BürknerEpisode sponsored by Tidelift: tidelift.comOne of the most common guest suggestions that you dear listeners make is… inviting Paul Bürkner on the show! Why? Because he’s a member of the Stan development team and he created BRMS, a popular R package to make and sample from Bayesian regression models using Stan. And, as I like you, I did invite Paul on the show and, well, that was a good call: we had an amazing conversation, spanning so many topics that I can’t list them all here!I asked him why he crea...2021-03-121h 07Learning Bayesian StatisticsThe Past, Present & Future of BRMS, with Paul BürknerEpisode sponsored by Tidelift: tidelift.comOne of the most common guest suggestions that you dear listeners make is… inviting Paul Bürkner on the show! Why? Because he’s a member of the Stan development team and he created BRMS, a popular R package to make and sample from Bayesian regression models using Stan. And, as I like you, I did invite Paul on the show and, well, that was a good call: we had an amazing conversation, spanning so many topics that I can’t list them all here!I asked him why he crea...2021-03-121h 07
Learning Bayesian StatisticsMultilevel Regression, Post-stratification & Missing Data, with Lauren KennedyEpisode sponsored by Tidelift: tidelift.comWe already mentioned multilevel regression and post-stratification (MRP, or Mister P) on this podcast, but we didn’t dedicate a full episode to explaining how it works, why it’s useful to deal with non-representative data, and what its limits are. Well, let’s do that now, shall we?To that end, I had the delight to talk with Lauren Kennedy! Lauren is a lecturer in Business Analytics at Monash University in Melbourne, Australia, where she develops new statistical methods to analyze social science data. Working mainly with R and St...2021-02-251h 12Learning Bayesian StatisticsMultilevel Regression, Post-stratification & Missing Data, with Lauren KennedyEpisode sponsored by Tidelift: tidelift.comWe already mentioned multilevel regression and post-stratification (MRP, or Mister P) on this podcast, but we didn’t dedicate a full episode to explaining how it works, why it’s useful to deal with non-representative data, and what its limits are. Well, let’s do that now, shall we?To that end, I had the delight to talk with Lauren Kennedy! Lauren is a lecturer in Business Analytics at Monash University in Melbourne, Australia, where she develops new statistical methods to analyze social science data. Working mainly with R and St...2021-02-251h 12
Learning Bayesian StatisticsBayesian Structural Time Series, with Ben ZweigHow do people choose their career? How do they change jobs? How do they even change careers? These are important questions that we don’t have great answers to. But structured data about the dynamics of labor markets are starting to emerge, and that’s what Ben Zweig is modeling at Revelio Labs.An economist and data scientist, Ben is indeed the CEO of Revelio Labs, a data science company analyzing raw labor data contained in resumes, online profiles and job postings. In this episode, he’ll tell us about the Bayesian structural time series model they built...2021-02-1257 minLearning Bayesian StatisticsBayesian Structural Time Series, with Ben ZweigHow do people choose their career? How do they change jobs? How do they even change careers? These are important questions that we don’t have great answers to. But structured data about the dynamics of labor markets are starting to emerge, and that’s what Ben Zweig is modeling at Revelio Labs.An economist and data scientist, Ben is indeed the CEO of Revelio Labs, a data science company analyzing raw labor data contained in resumes, online profiles and job postings. In this episode, he’ll tell us about the Bayesian structural time series model they built...2021-02-1257 min
Learning Bayesian StatisticsGetting involved into Bayesian Stats & Open-Source Development, with Peadar CoyleWhen explaining Bayesian statistics to people who don’t know anything about stats, I often say that MCMC is about walking many different paths in lots of parallel universes, and then counting what happened in all these universes.And in a sense, this whole podcast is dedicated to sampling the whole distribution of Bayesian practitioners. So, for this episode, I thought we’d take a break of pure, hard modeling and talk about how to get involved into Bayesian statistics and open-source development, how companies use Bayesian tools, and what common struggles and misperceptions the latter suffer from...2021-01-2753 minLearning Bayesian StatisticsGetting involved into Bayesian Stats & Open-Source Development, with Peadar CoyleWhen explaining Bayesian statistics to people who don’t know anything about stats, I often say that MCMC is about walking many different paths in lots of parallel universes, and then counting what happened in all these universes.And in a sense, this whole podcast is dedicated to sampling the whole distribution of Bayesian practitioners. So, for this episode, I thought we’d take a break of pure, hard modeling and talk about how to get involved into Bayesian statistics and open-source development, how companies use Bayesian tools, and what common struggles and misperceptions the latter suffer from...2021-01-2753 min
Rabbitt Stew ComicsEpisode 283April Solicits Comic Reviews: Batman/Catwoman 2 & Rorschach 4 Future State: Catwoman 1 by Ram V, Otto Schmidt Future State: Immortal Wonder Woman 1 by Becky Cloonan, Michael Conrad, Jen Bartel, L.L. McKinney, Alitha Martinez, Mark Morales, Emilio Lopez Future State: Nightwing 1 by Andrew Constant, Nicola Scott, Ivan Plascencia Future State: Shazam 1 by Tim Sheridan, Eduardo Pansica, Julio Ferreira, Marcelo Maiolo Future State: Superman: Worlds of War 1 by Phillip Kennedy Johnson, Mikel Janin, Jordie Bellaire, Brandon Easton, Valentine De Landro, Marissa Louise, Becky Cloonan, Michael Conrad, Gleb Melnikov, Jordie Bellaire Future State: The Next Batman 2 by John Ridley, Laura...2021-01-233h 08
Learning Bayesian StatisticsBayesian Cognitive Modeling & Decision-Making, with Michael LeeI don’t know if you noticed, but I have a fondness for any topic related to decision-making under uncertainty — when it’s studied scientifically of course. Understanding how and why people make decisions when they don’t have all the facts is fascinating to me. That’s why I like electoral forecasting and I love cognitive sciences.So, for the first episode of 2021, I have a special treat: I had the great pleasure of hosting Michael Lee on the podcast! Yes, the Michael Lee who co-authored the book Bayesian Cognitive Modeling with Eric-Jan Wagenmakers in 2013 — by the way, the...2021-01-051h 09Learning Bayesian StatisticsBayesian Cognitive Modeling & Decision-Making, with Michael LeeI don’t know if you noticed, but I have a fondness for any topic related to decision-making under uncertainty — when it’s studied scientifically of course. Understanding how and why people make decisions when they don’t have all the facts is fascinating to me. That’s why I like electoral forecasting and I love cognitive sciences.So, for the first episode of 2021, I have a special treat: I had the great pleasure of hosting Michael Lee on the podcast! Yes, the Michael Lee who co-authored the book Bayesian Cognitive Modeling with Eric-Jan Wagenmakers in 2013 — by the way, the...2021-01-051h 09
Learning Bayesian StatisticsSymbolic Computation & Dynamic Linear Models, with Brandon WillardIt’s funny how powerful symbols are, right? The Eiffel Tower makes you think of Paris, the Statue of Liberty is New-York, and the Trevi Fountain… is Rome of course! Just with one symbol, you can invoke multiple concepts and ideas.You probably know that symbols are omnipresent in mathematics — but did you know that they are also very important in statistics, especially probabilistic programming?Rest assured, I didn’t really know either… until I talked with Brandon Willard! Brandon is indeed a big proponent of relational programming and symbolic computation, and he often promotes their use...2020-12-181h 00Learning Bayesian StatisticsSymbolic Computation & Dynamic Linear Models, with Brandon WillardIt’s funny how powerful symbols are, right? The Eiffel Tower makes you think of Paris, the Statue of Liberty is New-York, and the Trevi Fountain… is Rome of course! Just with one symbol, you can invoke multiple concepts and ideas.You probably know that symbols are omnipresent in mathematics — but did you know that they are also very important in statistics, especially probabilistic programming?Rest assured, I didn’t really know either… until I talked with Brandon Willard! Brandon is indeed a big proponent of relational programming and symbolic computation, and he often promotes their use...2020-12-181h 00
Learning Bayesian Statistics#29 Model Assessment, Non-Parametric Models, And Much More, with Aki VehtariI’ll be honest here: I had a hard time summarizing this episode for you, and, let’s face it, it’s all my guest’s fault! Why? Because Aki Vehtari works on so many interesting projects that it’s hard to sum them all up, even more so because he was very generous with his time for this episode! But let’s try anyway, shall we?So, Aki is an Associate professor in computational probabilistic modeling at Aalto University, Finland. You already heard his delightful Finnish accent on episode 20, with Andrew Gelman and Jennifer Hill, talking about their...2020-12-021h 05Learning Bayesian Statistics#29 Model Assessment, Non-Parametric Models, And Much More, with Aki VehtariI’ll be honest here: I had a hard time summarizing this episode for you, and, let’s face it, it’s all my guest’s fault! Why? Because Aki Vehtari works on so many interesting projects that it’s hard to sum them all up, even more so because he was very generous with his time for this episode! But let’s try anyway, shall we?So, Aki is an Associate professor in computational probabilistic modeling at Aalto University, Finland. You already heard his delightful Finnish accent on episode 20, with Andrew Gelman and Jennifer Hill, talking about their...2020-12-021h 05