Podcasts about experimental

Na série de conversas descontraídas com cientistas, chegou a vez da Professora Psicóloga, Mestra e Doutora em Psicologia, coordenadora do Laboratório de Análises e Tecnologias Comportamentais da UEL, Verônica Bender Haydu. Só vem! >> OUÇA (80min 28s) * Naruhodo! é o podcast pra quem tem fome de aprender. Ciência, senso comum, curiosidades, desafios e muito mais. Com o leigo curioso, Ken Fujioka, e o cientista PhD, Altay de Souza. Edição: Reginaldo Cursino. http://naruhodo.b9.com.br * Verônica Bender Haydu é graduada em Psicologia pela Universidade Estadual de Londrina, mestre e doutora em Psicologia pela Universidade de São Paulo (USP-SP). Realizou estágio pós-doutoral na UFSCar, junto ao programa de Psicologia.  Professora do Departamento de Psicologia Geral e Análise do Comportamento e docente permanente do Programa de Pós-Graduação em Análise do Comportamento da Universidade Estadual de Londrina. Coordena o Laboratório de Análises e Tecnologias Comportamentais. Acreditada pela ABPMC e é membro do Think Tank sobre cultura e análise do comportamento e do grupo Matemática e Análise do Comportamento (MATEMAC).  Lidera o Grupo de Pesquisa "Análise do Comportamento: Implicações Clínicas e Educacionais" cadastrado no Diretório dos Grupos de Pesquisa do CNPq, desenvolvendo pesquisas em cooperação com docentes e discentes da UEL, da UFES e da UFSCar. Desenvolve pesquisas ligadas às seguintes linhas: 1) Análise Experimental do Comportamento e Psicobiologia, 2) avaliação, desenvolvimento e aplicação de tecnologias comportamentais, 3) realidade e ambientes virtuais: aplicações clínicas e educacionais, 4) análise de comportamento verbal e de práticas culturais, com ênfase em questões ambientais. Suas atividades estão voltadas para os Objetivos de Desenvolvimento Sustentável (ODS), mais especificamente o ODS 3 (Saúde e bem-estar) e o ODS 11 (Cidades e comunidades sustentáveis). Lattes: https://lattes.cnpq.br/1726041421275880 * APOIE O NARUHODO! O Altay e eu temos duas mensagens pra você. A primeira é: muito, muito obrigado pela sua audiência. Sem ela, o Naruhodo sequer teria sentido de existir. Você nos ajuda demais não só quando ouve, mas também quando espalha episódios para familiares, amigos - e, por que não?, inimigos. A segunda mensagem é: existe uma outra forma de apoiar o Naruhodo, a ciência e o pensamento científico - apoiando financeiramente o nosso projeto de podcast semanal independente, que só descansa no recesso do fim de ano. Manter o Naruhodo tem custos e despesas: servidores, domínio, pesquisa, produção, edição, atendimento, tempo... Enfim, muitas coisas para cobrir - e, algumas delas, em dólar. A gente sabe que nem todo mundo pode apoiar financeiramente. E tá tudo bem. Tente mandar um episódio para alguém que você conhece e acha que vai gostar. A gente sabe que alguns podem, mas não mensalmente. E tá tudo bem também. Você pode apoiar quando puder e cancelar quando quiser.  O apoio mínimo é de 15 reais e pode ser feito pela plataforma ORELO ou pela plataforma APOIA-SE. Para quem está fora do Brasil, temos até a plataforma PATREON. É isso, gente. Estamos enfrentando um momento importante e você pode ajudar a combater o negacionismo e manter a chama da ciência acesa. Então, fica aqui o nosso convite: apóie o Naruhodo como puder. bit.ly/naruhodo-no-orelo

Jeremy Zakis analyzes the Australian men's T20 cricket team's poor cohesion and experimental failures while highlighting the consistent, professional success of the national women's team.1935

Writer Caroline Paul learned to fly a Cessna when she was 20, a paraglider in her 30s, a motorized hang glider in her 40s, and then at 58 years old, as her marriage was dissolving, she took up the gyrocopter, an odd aircraft that resembles a tiny helicopter. “The reasons for this aren't all mysterious. It's easier to learn a landing than a human heart,” she writes in her new book “Why Fly: Seeking Awe Healing and Our True Selves in the Sky.” We talk to Paul about the history of flight, why it captivates us, and how she tried to pilot her way through heartbreak. Guests: Caroline Paul, pilot; author, "Why Fly: Seeking Awe, Healing, and Our True Selves in the Sky;" her most recent books include "Tough Broad: From Boogie Boarding to Wing Walking-How Outdoor Adventure Improves Our Lives as We Age" and "The Gutsy Girl: Escapades for Your Life of Epic Adventure" Learn more about your ad choices. Visit megaphone.fm/adchoices

# Track Title Artist 1 Ancient Astronauts E-Mantra 2 Tunnel Ghost Warrior 3 Rescue Marway 4 Force of Habit Barker 5 Random Lab Kahn, Neek 6 Double Zero Nina, HiJinx 7 Ancient Astronauts E-Mantra 8 Mumble HiJinx 9 Force of Habit Barker 10 Drift__ XENIA REAPER 11 The Complex Ghost Warrior 12 Tunnel Ghost Warrior 13 Beta HiJinx 14 Strong Be Leaf Delta Division 15 Vision Trois-Quarts Taxi System 16 Straw and Bodies Trois-Quarts Taxi System 17 Hollow Men II Trois-Quarts Taxi System 18 Black Box Ghost Warrior 19 M.e.S (feat. TSVI) TSVI, Josi Devil 20 Stuffed Trois-Quarts Taxi System 21 Static Nina, Rotate, HiJinx Dj mixed live and always freestyle by Maximium Available anywhere you listen to podcasts! linktr.ee/maximium #Dj #DjMix #DjMixes #Maximium #Mix #Maximiummix #Jay #Freitag #Bassmusic #Housemusic #Techno #Trap #Breaks #DeepDub #DrumandBass #Halftime #Clubmusic #Underground #EDM #Workoutmusic #PioneerDJ #Remix #Production #Zerooneevents #Minneapolis #Minnesota

The Future of When. Again. WFMU Playlist & Interactive Live Chat As we continue my journey through the Sleepcore on the picsandportraits YouTube Channel, we – Again – journey through the future of the past, and try to find the various ways that I can jam along with the flotsam and jetsam of 20th Century AV. … Continue reading The Future of When. Again.

This month’s podcast features composer/sound artist Martin D. Fowler playing upright bass and doing some granular processing. I really enjoyed this one, its the first time there’s been an upright bassist on the podcast, and i think the results are beautifully contemplative. And its nice to take a little break from my electronic shenanigans, and … Continue reading Errant Space Podcast 131 with Martin D. Fowler →

2-hours of live improvised experimental radio sound-art broadcast live from the Chakra Chimp Research Kitchens of Northern California-land.  Netcast on DFM Radio TV International (www.dfm.nu)  DFM RTV INT  21 DECEMBER 2025....This item belongs to: audio/ubradio_salon.This item has files of the following types: AIFF, Archive BitTorrent, Columbia Peaks, Item Tile, JPEG, JPEG Thumb, Metadata, PNG, Spectrogram, VBR MP3

Do you know who discovered Pluto? We get a history lesson from life long farmer Larry Tombaugh on this weeks episode 

Support us on https://www.buymeacoffee.com/onlyonepodcast Playlist: 01. Øneheart & Reidenshi - Snowfall 00:00 02. Øneheart & Antent - Night Drive 01:33 03. Øneheart & Kim - Nightexpress (Slowed Reverb) 03:33 04. Øneheart - Ill Be Right There 05:57 05. Øneheart & Pensees - Sequoia 08:14 06. Øneheart - Look Around 11:40 07. Øneheart & Kazukii - Wanderlust 12:50 08. Øneheart - Watching The Stars 13:52 09. Øneheart & Willix - Lullaby (Slowed Reverb) 15:24 10. Øneheart & Antent - Blossom 17:01 11. Øneheart & Liminalyx - Distant 18:50 12. Øneheart - Betrayal 20:18 13. Øneheart - This Feeling 21:16 14. Øneheart - Insomnia 22:32 15. Øneheart - Hide Away 23:54 16. Øneheart & Reidenshi & Antent - Fable 25:06 17. Øneheart & James - King Wistful 26:49 18. Øneheart & Ashess - Rescue 29:00

Paris has taken Venice by storm but this time round, unlike Napoleon in 1797, they've arrived with shakers not soldiers. Our guest today is leading the charge!I'm sitting down with Pietro Lorefice, Bar Manager of Experimental Cocktail Club Venice, one of the bars that changed the cocktail conversation in this city.Experimental Cocktail Club conquered Paris in 2007 with its innovative ideas, sparking Europe's modern cocktail revival and growing into an influential group of bars and hotels around the world.In Venice, Pietro is at the helm and we're talking craft, culture, and what it really takes to run one of Venice's most exciting bars.You can also read about Pietro in my new book - well almost. I HAVE A NEW BOOK COMING OUT in April 2026 - A Guide to Drinking in Venice! I've been talking about it for what... three years now? I can't wait for you to see it at last for pre-sale!Go to alushlifemanual.com/book for more details.Now let's join Pietro! Our cocktail of the week is the Isola Di PinoINGREDIENTS 40 ml Vodka20 ml Coffee liqueur10 ml AmaroSalted Sugar Syrup* to tasteMETHODCombine all ingredients in a shaker filled with ice. Shake until well chilled and frosted. Fine strain into a coupette glassAdd 3 coffee beans for good luck and enjoy. *Salted Sugar Syrup: Combine equal parts (by weight) of sugar and water. Add 5% salt based on the total weight. Stir until completely dissolved.You'll find this recipe and all the cocktails of the week at alushlifemanual.com, plus links to most of the ingredients.Full Episode Details: https://alushlifemanual.com/experimental-cocktail-club-venice-with-pietro-lorefice/-----Become a supporter of A Lush Life Manual for as little as $5 - all you have to do is go to https://substack.com/@alushlifemanual.Lush Life Merchandise is here - we're talking t-shirts, mugs, iPhone covers, duvet covers, iPad covers, and more covers for everything! And more! Produced by Simpler MediaFollow us on Twitter and InstagramGet great cocktail ideas on PinterestNew episodes every other Tuesday, usually!!

Dimestore Radio Theater #156 WFMU Playlist & Interactive Live Chat (The Digital Salon) In our first hour, we have an encounter with a street photographer – who hands Richard Diamond to get wrapped up in a case involving “The Photographer’s Card,” – is enough to get his working with his old unit on the police … Continue reading Dimestore Radio Theater #156

Like last week, mostly new music with a special trip to 1970. Lots of Indian and Middle Eastern sounds, too.Playlist: Antibalas - SolaceNoah Franche-Nolan - Union townJohn McLaughlin - Peace oneJohn McLaughlin - Peace twoWanees Zarour - FestivalBellbird - MurmationAmir ElSaffar - Ghazalu

News items read by Laura Kennedy include: Environmental factors shaped genetic lineages of prehistoric Japan (details) (details) Experimental study confirms ancient Greeks could have safely brewed a psychoactive drink (details) (details) Newly discovered Venezuelan petroglyph is one of the oldest in the country (details) Novel dating techniques show Ubeidiya site is at least 1.9 million years old (details)

Episode Title: Sky Rings Over the Upstate Runtime: ~18–20 minutes Tone: Curious, energetic, community-driven

Disney+ Bringing Back “Short Circuit Experimental Films”  https://whatsondisneyplus.com/disney-bringing-back-short-circuit-experimental-films/   #DisneyPlus  VISIT ONLINE -  http://www.WhatsOnDisneyPlus.com If you enjoy our content, please consider supporting it via our Patreon or as a YouTube Channel Membership from as little as $2 a month and get access to exclusive content and much more.

Disney+ Bringing Back “Short Circuit Experimental Films”  https://whatsondisneyplus.com/disney-bringing-back-short-circuit-experimental-films/   #DisneyPlus  VISIT ONLINE -  http://www.WhatsOnDisneyPlus.com If you enjoy our content, please consider supporting it via our Patreon or as a YouTube Channel Membership from as little as $2 a month and get access to exclusive content and much more.

UBradio Salon 945 – SquircUBe Chronicles: “Great, But Can It Dance?”… 22 Feb 2026 on DFM.nu This time, Austin & univac are joined by Aurora Josephson & Mike Dringenberg, where efforts to rehearse for an impending – and very important – show, is just out of reach thanks to two of the Pod’s more insistent … Continue reading UBradio Salon 945 – SquircUBe Chronicles: “Great, But Can It Dance?”… 22 Feb 2026 on DFM.nu

Disney+ Bringing Back “Short Circuit Experimental Films”  https://whatsondisneyplus.com/disney-bringing-back-short-circuit-experimental-films/   #DisneyPlus  VISIT ONLINE -  http://www.WhatsOnDisneyPlus.com If you enjoy our content, please consider supporting it via our Patreon or as a YouTube Channel Membership from as little as $2 a month and get access to exclusive content and much more.

Playlist: Andrew Staniland, Ryan Scott - ANTIGRAVITYDRUMColeridge-Taylor Perkinson, Sphinx Virtuosi - Sinfonietta No. 2 'Generations'Julius Eastman, Kukuruz Quartet - Evil N*****George E. Lewis, Ensemble Dal Niente - Merce and BabyErrollyn Wallen, Black Oak Ensemble - Making HayIan Cusson, Canada's National Arts Centre Orchestra - IQ84Joseph Schwantner, National Symphony Orchestra - New Morning for the World 'Daybreak of Freedom'Shelley Washington, Les Percussions de Strasbourg - Sunday

5 Schritte, wie man gelassener und ruhiger zu reagierenWenn du mich und den Podcast unterstützen möchtest, dann bewerte den Podcast gerne und schicke ihn an jemanden weiter, der sich auch dafür interessieren würde. Mein neues Buch hilft dir besser zu kommunizieren, deine Muster zu verändern und wieder Nähe herzustellen. Du hast Feedback oder Fragen? Dann schreib mir auf Instagram.Du möchtest eine persönliche (Online)Beratung oder Paartherapie mit mir? Dann schreib mir eine Mail an: kontakt@paartherapiebonn.com.Mehr zu mir und meiner Arbeit findest du ⁠⁠hier⁠⁠.Studien zum Thema: Almeida, D. M. (2005). Resilience and vulnerability to daily stressors assessed via diary methods. Current Directions in Psychological Science, 14(2), 64–68.Baikie, K. A., & Wilhelm, K. (2005). Emotional and physical health benefits of expressive writing. Advances in Psychiatric Treatment, 11(5), 338–346.Chambel, M. J., Lopes, S., & Carvalho, V. S. (2023). Work–family boundary management profiles and well-being at humanitarian aid missions. Stress and Health, 39(5), 1066–1080.Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York, NY: Harper & Row.Frattaroli, J. (2006). Experimental disclosure and its moderators: A meta-analysis. Psychological Bulletin, 132(6), 823–865.Greenglass, E., Schwarzer, R., & Taubert, S. (1999). The Proactive Coping Inventory (PCI): A multidimensional research instrument. Paper presented at the 20th International Conference of the Stress and Anxiety Research Society, Cracow, Poland.Meng, Y., Li, Y., & Zhang, Y. (2025). Work–family boundary fit and employee well-being: The mediating role of work–family conflict. Behavioral Sciences, 15(8), 1122.Pennebaker, J. W., & Beall, S. K. (1986). Confronting a traumatic event: Toward an understanding of inhibition and disease. Journal of Abnormal Psychology, 95(3), 274–281.Ryan, R. M., & Deci, E. L. (2000). Self determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78.Schuch, F. B., Vancampfort, D., Firth, J., Rosenbaum, S., Ward, P. B., Silva, E. S., Hallgren, M., de Leon, A. P., Dunn, A. L., Deslandes, A. C., Fleck, M. P., Carvalho, A. F., & Stubbs, B. (2018). Physical activity and incident depression: A meta-analysis of prospective cohort studies. American Journal of Psychiatry, 175(7), 631–648.Schuch, F. B., Vancampfort, D., Richards, J., Rosenbaum, S., Ward, P. B., & Stubbs, B. (2016). Exercise as a treatment for depression: A meta-analysis adjusting for publication bias. Journal of Psychiatric Research, 77, 42–51.Zacher, H., Braukmann, J., & Frese, M. (2014). Micro-breaks matter: A diary study on the effects of energy management strategies on occupational well-being. Journal of Vocational Behavior, 85(3), 287–297.

O arroz é parte da história de Santa Catarina, está na mesa das famílias, move a economia de muitas regiões e agora também é símbolo de inovação. Um arroz desenvolvido pela Epagri, mais resistente às mudanças climáticas, acaba de conquistar o Prêmio de Inovação Catarinense 2025, na categoria Produto. Estamos falando da variedade SCSBRS126 Dueto, criada para enfrentar extremos de temperatura e garantir mais segurança ao produtor e à sociedade. Quem conversa com a gente hoje é o pesquisador Rubens Marschalek, da Estação Experimental da Epagri em Itajaí. >> CRÉDITOS:Produção, roteiro e locução: Mauro Meurer e Maykon OliveiraApoio técnico e edição: Eduardo Mayer

Reforma trabalhista de Milei é aprovada na Câmara com mudanças; texto volta ao Senado. Suprema Corte dos EUA pode decidir nesta sexta sobre legalidade do tarifaço de Trump. CNU 2025: listas de classificação e espera são divulgadas nesta sexta. Eric Dane, de 'Grey's Anatomy' e 'Euphoria', morre aos 53 anos. Paciente volta a andar e leva polilaminina aos trends; entenda o que a substância pode fazer e o que ainda não se sabe. 'Fiuk da Harmonia': jurado que viralizou no carnaval de SP é doutor pela USP, tem banda cigana e ajudou a fundar bloco de rua.

In the 175 episodes of the Coffee Sprudgecast, only a few are truly dedicated and earnestly focused on that most imporant of concepts: Proof of Taste. And on the latest episode, we take proof of taste to 100. Only the flavors matter. Only the best brew will do. Are you on the list? Are you ready to prove your taste once and for all?? On this week's episode of the Coffee Sprudgecast, hosts Jordan Michelman and Zachary Carlsen start by brewing coffee using a gorgeous ceramic Vandola that was thrown, glazed, and fired in Costa Rica. Then we dive into the world of Scenery Coffee, the London-based coffee company that just took home top honors in the Notable Roaster category at the 17th Annual Sprudgie Awards. Experimental processing, traditional brewing methods, coffee and coffee gear from near and far: truly this episode has it all…and then some! A little more on this incredible vessel you see above, courtesy of Coffee Balam, who sent us their beautiful Vandola Coffee Brewer designed by Minor Alfaro Alpízar along with their Alfaro Master Roast coffee blend of Catuai and Caturra grown and processed on Costa Rica's Nicoya Peninsula. Together they made a gorgeous, smooth, and beautiful brew. Coffee Balam donates five percent of proceeds to support cultural preservation projects in the Chorotega community. Trying this brewer + roaster combo was a total surprise to us, and we were thrilled to have such a cool concept come in through the general contact form at Sprudge. If you out there in Sprudge land reading this have something incredible you'd like to send our way for future consideration on the pod, get in touch! Meanwhile, Scenery Coffee took home top honors at our global voted Sprudgie Awards, and were kind enough to send along some coffees to sample at Sprudge HQ, with which everyone on team Sprudge was quite impressed. We brewed two of their lovely coffees on this week's episode—India Ratnagiri Estate LAB-6 and Costa Rica Corazón de Jesús "Los Toños" Java—and spent time learning more about both (Scenery's website is excellent). We brewed those coffees this week with the Miir Coffee Hand Grinder, Miir Pourigami brewer, an Acaia Pearl coffee scale, and enjoyed from Slow Pour Supply 2-Way Cups. Check out these coffee tools and other coffee gear at our popular gear hub Coffee Gear! At the end of the day, taste was well and truly proven. Because that's what it's all about. We really can't say it enough. It's all about…proof of taste. 

In part two of our conversation with Dmitry Osenilo, we dive deeper into his gaseous aether model and its attempt to unify light, electromagnetism, and gravity through hydrodynamics. Photons become vortex streets, electric and magnetic fields reduce to pressure gradients and rotational flow, and gravity emerges from thermodynamic imbalance in a compressible medium. Rather than treating fields as abstract entities, this framework insists on mechanical motion, viscosity, density, and conserved flow as the true foundations of physical law. It is a wager that if nature makes sense, it will do so in motion you can picture, not symbols you must accept.Part 1: https://youtu.be/eGBmuwI7X6IPATREON https://www.patreon.com/c/demystifysciPARADOX LOST PRE-SALE: https://buy.stripe.com/7sY7sKdoN5d29eUdYddEs0bHOMEBREW MUSIC - Check out our new album!Hard Copies (Vinyl): FREE SHIPPING https://demystifysci-shop.fourthwall.com/products/vinyl-lp-secretary-of-nature-everything-is-so-good-hereStreaming:https://secretaryofnature.bandcamp.com/album/everything-is-so-good-herePARADIGM DRIFThttps://demystifysci.com/paradigm-drift-show00:00 Go! Return to the aether framework00:05:54 When a gas can carry transverse waves00:09:31 Mass, conservation laws, and hidden assumptions00:14:14 Why gaseous aether fits extreme conditions00:20:31 Atoms as toroidal vortices00:27:48 Vortex stability and atomic longevity00:32:49 Photon as a vortex street00:35:01 Light versus electromagnetic radiation00:41:13 Flow-based light emission and reflection00:50:50 Electromagnetism as aether flow00:53:26 Electric and magnetic fields redefined01:02:27 Gravity as thermo-diffusion in aether01:05:31 Entanglement and faster-than-light claims01:08:06 Experimental predictions and new designs01:11:14 Reflections#physics, #aether, #vortex , #fluiddynamics, #hydrodynamics, #electromagnetism, #gravity, #photon , #theoreticalphysics, #quantumphysics , #physicspodcast, #philosophypodcast MERCH: Rock some DemystifySci gear : https://demystifysci-shop.fourthwall.com/AMAZON: Do your shopping through this link: https://amzn.to/3YyoT98DONATE: https://bit.ly/3wkPqaDSUBSTACK: https://substack.com/@UCqV4_7i9h1_V7hY48eZZSLw@demystifysci RSS: https://anchor.fm/s/2be66934/podcast/rssMAILING LIST: https://bit.ly/3v3kz2S SOCIAL: - Discord: https://discord.gg/MJzKT8CQub- Facebook: https://www.facebook.com/groups/DemystifySci- Instagram: https://www.instagram.com/DemystifySci/- Twitter: https://twitter.com/DemystifySciMUSIC: -Shilo Delay: https://g.co/kgs/oty671

The Future of When WFMU Playlist & Interactive Live Chat Inspired recently by watching the time-bending story in the early 90’s film, Orlando, I began thinking about the way the future was seen from the past. This led me to thinking about the work that the picsandportraits channel on YouTube has been doing, raiding archive.org for … Continue reading The Future of When

Send a textWe chart Alan Bishop's leap from an established distillery to Old Homestead, how he rebuilt his stills, and why he's doubling down on experiential spirits. We taste and unpack Wickliffe Bell at 139.2 proof—peat-smoked oats, smoked apples, clean cuts, and a rest that polishes without erasing character.• Reinvention after French Lick and owning the build at Old Homestead• Pot still aging limits and why barrel babysitting matters• Labels that free creativity: whiskey from a bourbon mash• Making uncommon whiskey for common people as a guiding idea• The Old Homestead campus and “Alcohol Acres” destination• Wild Newton Stewart yeast capture and sense of place• Wycliffe Bell process, thumpers, peat, apples, and cask strength• Water, highballs, and choose-your-proof tasting• Upcoming Rise & Shine trio and barrel-rested sunshines• New absinthe and gin releases, plus where to find Alan's workThe best spirits don't just taste like a place—they tell you its story. We sit down with Alan Bishop for his record-setting return to talk about leaving a legacy brand, hand-building a new distillery at Old Homestead, and charting a bolder future where labels serve flavor, not the other way around. If you've ever wondered how a distiller reinvents without losing soul, this is a masterclass in making uncommon whiskey for common people.Alan opens up about the real arc of starting over: the existential first year, the stubborn stills, and the moment the “house character” finally reveals itself. He explains why pot still whiskey has a sweet spot, how to babysit barrels so wood doesn't swallow grain, and why he's transparent about using “whiskey distilled from a bourbon mash” to unlock honest flexibility—used oak, varied entry proofs, and subtle pre-distillation botanicals—while telling drinkers exactly what's in the glass.Then we dive into Wickliffe Bell, a cask-strength Black Forest Spirit at 139.2 proof that drinks shockingly gentle. Oats malted by Sugar Creek are peat-smoked with Irish turf, apples are smoked and loaded into a thumper, and the cut is clean like a white distillate before a short rest in new oak. The result is apple-oat warmth, soft phenolics that read like hickory-kissed smoke, and a choose-your-own-proof journey that blooms with a splash of water or lifts in a smoky highball. It's not bourbon. It's not scotch. It's a place in a bottle.We also map the broader canvas: Bartels & Bishop hitting distribution, limited Old Homestead bourbon kept intentionally scarce, the Rise & Shine trio (citrus, jasmine-chamomile, hickory bark) riding the thumpers, and a new absinthe that merges Old World method with New World botanicals. Along the way, Alan talks underdog grit, storytelling as craft, and building “Alcohol Acres”—a lakeside destination that pairs serious spirits with a weekend worth remembering.If you care about flavor, place, and where American whiskey goes next, press play. Then tell us how you took your pour—neat, water, or highball—and leave a review so more curious drinkers can find the show.Find us at www.scotchybourbonboys.com — glens, t-shirts, bourbon balls, and moreFollow on Facebook, Instagram, YouTube, X, TikTok, and PatreonApple listeners: leave a five-star rating and a thoughtful review“Drink and drive, drink responsibly, and live your life uncut and unfiltered”voice over Whiskey Thief Add for SOFLSupport the showhttps://www.scotchybourbonboys.com The Scotchy bourbon Boys are #3 in Feedspots Top 60 whiskey podcasts in the world https://podcast.feedspot.com/whiskey_podcasts/

“You can create a virtual board of directors that will have different expertises and that will come up with ideas that a given person may not come up with.” – Felipe Csaszar About Felipe Csaszar Felipe Csaszar is the Alexander M. Nick Professor and chair of the Strategy Area at the University of Michigan’s Ross School of Business. He has published and held senior editorial roles in top academic journals including Strategy Science, Management Science, and Organization Science, and is co-editor of the upcoming Handbook of AI and Strategy. Webiste: papers.ssrn.com LinkedIn Profile: Felipe Csaszar University Profile: Felipe Csaszar What you will learn How AI transforms the three core cognitive operations in strategic decision making: search, representation, and aggregation. The powerful ways large language models (LLMs) can enhance and speed up strategic search beyond human capabilities. The concept and importance of different types of representations—internal, external, and distributed—in strategy formulation. How AI assists in both visualizing strategists' mental models and expanding the complexity of strategic frameworks. Experimental findings showing AI's ability to generate and evaluate business strategies, often matching or outperforming humans. Emerging best practices and challenges in human-AI collaboration for more effective strategy processes. The anticipated growth in framework complexity as AI removes traditional human memory constraints in strategic planning. Why explainability and prediction quality in AI-driven strategy will become central, shaping the future of strategic foresight and decision-making. Episode Resources Transcript Ross Dawson: Felipe, it’s a delight to have you on the show. Felipe Csaszar: Oh, the pleasure is mine, Ross. Thank you very much for inviting me. Ross Dawson: So many, many interesting things for us to dive into. But one of the themes that you’ve been doing a lot of research and work on recently is the role of AI in strategic decision making. Of course, humans have been traditionally the ones responsible for strategy, and presumably will continue to be for some time. However, AI can play a role. Perhaps set the scene a little bit first in how you see this evolving. Felipe Csaszar: Yeah, yeah. So, as you say, strategic decision making so far has always been a human task. People have been in charge of picking the strategy of a firm, of a startup, of anything, and AI opens a possibility that now you could have humans helped by AI, and maybe at some point, AI is designing the strategies of companies. One way of thinking about why this may be the case is to think about the cognitive operations that are involved in strategic decision making. Before AI, that was my research—how people came up with strategies. There are three main cognitive operations. One is to search: you try different things, you try different ideas, until you find one which is good enough—that is searching. The other is representing: you think about the world from a given perspective, and from that perspective, there’s a clear solution, at least for you. That’s another way of coming up with strategies. And then another one is aggregating: you have different opinions of different people, and you have to combine them. This can be done in different ways, but a typical one is to use the majority rule or unanimity rule sometimes. In reality, the way in which you combine ideas is much more complicated than that—you take parts of ideas, you pick and choose, and you combine something. So there are these three operations: search, representation, and aggregation. And it turns out that AI can change each one of those. Let’s go one by one. So, search: now AIs, the current LLMs, they know much more about any domain than most people. There’s no one who has read as much as an LLM, and they are quite fast, and you can have multiple LLMs doing things at the same time. So LLMs can search faster than humans and farther away, because you can only search things which you are familiar with, while an LLM is familiar with many, many things that we are not familiar with. So they can search faster and farther than humans—a big effect on search. Then, representation: a typical example before AI about the value of representations is the story of Merrill Lynch. The big idea of Merrill Lynch was how good a bank would look if it was like a supermarket. That’s a shift in representations. You know how a bank looks like, but now you’re thinking of the bank from the perspective of a supermarket, and that leads to a number of changes in how you organize the bank, and that was the big idea of Mr. Merrill Lynch, and the rest is history. That’s very difficult for a human—to change representations. People don’t like changing; it’s very difficult for them, while for an AI, it’s automatic, it’s free. You change their prompt, and immediately you will have a problem looked at from a different representation. And then the last one was aggregating. You can aggregate with AI virtual personas. For example, you can create a virtual board of directors that will have different expertises and that will come up with ideas that a given person may not come up with. And now you can aggregate those. Those are just examples, because there are different ways of changing search, representation, and aggregation, but it’s very clear that AI, at least the current version of AI, has the potential to change these three cognitive operations of strategy. Ross Dawson: That’s fantastic. It’s a novel framing—search, representation, aggregation. Many ways of framing strategy and the strategy process, and that is, I think, quite distinctive and very, very insightful, because it goes to the cognitive aspect of strategy. There’s a lot to dig into there, but I’d like to start with the representation. I think of it as the mental models, and you can have implicit mental models and explicit mental models, and also individual mental models and collective mental models, which goes to the aggregation piece. But when you talk about representation, to what degree—I mean, you mentioned a metaphor there, which, of course, is a form of representing a strategic space. There are, of course, classic two by twos. There are also the mental models which were classically used in investment strategy. So what are the ways in which we can think about representation from a human cognitive perspective, before we look at how AI can complement it? Felipe Csaszar: I think it’s important to distinguish—again, it’s three different things. There are three different types of representations. There are the internal representations: how people think in their minds about a given problem, and that usually people learn through experience, by doing things many times, by working at a given company—you start looking at the world from a given perspective. Part of the internal representations you can learn at school, also, like the typical frameworks. Then there are external representations—things that are outside our mind that help us make decisions. In strategy, essentially everything that we teach are external representations. The most famous one is called Porter’s Five Forces, and it’s a way of thinking about what affects the attractiveness of an industry in terms of five different things. This is useful to have as an external representation; it has many benefits, because you can write it down, you can externalize it, and once it’s outside of your mind, you free up space in your mind to think about other things, to consider other dimensions apart from those five. External representations help you to expand the memory, the working memory that you have to think about strategy. Visuals in general, in strategy, are typical external representations. They play a very important role also because strategy usually involves multiple people, so you want everybody to be on the same page. A great way of doing that is by having a visual so that we all see the same. So we have internal—what’s in your mind; external—what you can draw, essentially, in strategy. And then there are distributed representations, where multiple people—and now with AI, artifacts and software—among all of them, they share the whole representation, so they have parts of the representation. Then you need to aggregate those parts—partial representations; some of them can be internal, some of them are external, but they are aggregated in a given way. So representations are really core in strategic decision making. All strategic decisions come from a given set of representations. Ross Dawson: Yeah, that’s fantastic. So looking at—so again, so much to dive into—but thinking about the visual representations, again, this is a core interest of mine. Can you talk a little bit about how AI can assist? There’s an iterative process. Of course, visualization can be quite simple—a simple framework—or visuals can provide metaphors. There are wonderful strategy roadmaps which are laid out visually, and so on. So what are the ways in which you see AI being able to assist in that, both in the two-way process of the human being able to make their mental model explicit in a visualization, and the visualization being able to inform the internal representation of the strategist? Are there any particular ways you’ve seen AI be useful in that context? Felipe Csaszar: So I was very intrigued—as soon as LLMs became popular, were launched—yeah, ChatGPT, that was in November 2022—I started thinking, there are so many ways in which this could be used. So myself and two co-authors, Hyunjin Kim and Harsh Ketkar, we wrote a paper, one of the initial papers on how AI can be used in strategy. It’s published in Strategy Science, and in that paper, we explore many ways in which AI could be used in strategy. Of course, you can ask AI about coming up with answers to questions that you may have. You can also use AI to use any of these frameworks that have been developed in strategy. It was very clear to us that it was usable. Then the question was, how good are those uses? What’s the quality of current AI doing this type of task? So what we did is an experiment where we compared the performance of AI to the performance of humans. In strategy, there are two types of tasks: one is to generate alternatives, and the other is to select alternatives. You have a problem—the first thing you want to do is have possible solutions, and then you want to be able to pick the best out of those. So we had two experiments: one where we measured the ability of AI to generate alternatives, another to select. For generation, what we did is we got data from a business plan competition where people were applying with business plans that all had the same format. The important thing is that the first paragraph of that application had the problem—a problem that they thought was important. So we took all of those applications and removed everything except for the problem, and then we gave that problem to an AI and asked the AI, “Hey, complete the rest of the business plan.” So now we have business plans that are real, and the AI twins of those—business plans created by an AI that try to solve the same problem. Then we put both in a kind of business plan competition, where we had people with experience in investments ranking all of these business plans, and they didn’t know which ones were created by humans and which ones were created by AIs. We looked at their evaluations at the end of the day, and on average, the ones that were generated by the AI were ranked a little bit higher—7% higher—than the ones that were generated by humans. So at least in this very specific context of business plan competitions, there’s potential. We’re saying, hey, AI could generate things at a level that is comparable to the people applying to this type of business plan competition. That has a lot of potential. We could use it in different ways. The other part of this study was to measure the ability of AI to select strategies among strategies. There, what we did is use data from another business plan competition, where all of the business plans had been evaluated by venture capitalists according to 10 dimensions: how strong is the idea, how strong is the team, how strong is the technology, etc. Then we gave an AI the same rubric that the venture capitalists received and asked the AI to rank or grade each one of these startups according to these 10 dimensions. Then we compared how similar the evaluations of the LLM were to the evaluations of the venture capitalists, and we showed that they are quite similar—there’s a correlation of 52%. This, again, tells us that there is potential here. An AI could do things that are quite similar to an experienced human evaluating this type of startup. A very interesting result there is that the correlation between two venture capitalists is lower than that 52%. So if you want to predict what a venture capitalist is going to say about your business, you’re better off asking an LLM than asking another venture capitalist. Ross Dawson: Yes, which perhaps shows the broad distribution of VC opinions. So obviously, LLMs can play valuable roles in many aspects of the strategy process, but this brings us back to the humans plus AI role. There are many—again, a big topic—but rather than looking at them, comparing what humans and AI did, where do you see the primary opportunities for humans and AI to collaborate in the strategy process? Felipe Csaszar: Yeah, yeah. So I think that’s a fascinating question, and my guess is that the study of the strategy process will completely change in the next 10 to 20 years. So far, all of the strategy process has been to study what happens when you have multiple people making strategy decisions. In the past, we studied things like devil’s advocate, or we have studied the role of changing the size of the group of people making decisions, or the consensus level required. But in the future, there will be AIs in this process that will have completely different bounds or capacities than humans. So we will need to learn what’s the best way of collaborating with them and including them into the strategic decision making process. Today, we don’t know much about it. We are beginning to learn things, like the study I mentioned—hey, in this task, it seems to be better—but there’s so much that we need to learn. I am working on some things, but it’s still early. Ross Dawson: Going back to the distributed representation—this is something where, of course, distributed representation can be in multiple people. Arguably, it can include human and AI agents as each having different representations. But this goes, of course, to the aggregation piece, where the aggregation is—you have a board of directors, group of executives, potentially a participative strategy process bringing more people into the organization. What are the specific roles of AI in assisting or facilitating effective aggregation to form a cohesive strategy? Felipe Csaszar: Yeah, so the truth is, we yet don’t know. There’s not enough research. We’re starting to think about it. We can see many uses, and I think what people should be doing now is running experiments to see when those add value and when they don’t. It will be different for different companies in different industries, so probably there’s no one solution that’s the same for everybody. For example, one possible use in strategic decision making is predicting what your competitors would do. If I do this, what would be the most likely reaction of my competitor? That’s one. Another one is predicting consumers: if I launch this product with this set of characteristics, what would be the most likely response of my consumers? In strategy, something that has been very popular for the last 20 years is something called the Blue Ocean Strategy, which is a method to come up with new offerings, with new value propositions, but that requires a lot of creativity. With AI, you can automate part of that. At the end of the day, it’s a search process. You have to think about what would happen if I add this, or if I add this other thing, or if I increase this. Part of that can be automated—that would be another use. Or if you have different proposals—in this other study, we show, hey, AI is good at evaluating, so if you have the right rubric, this can automate the evaluation, or can automate the first part of that evaluation so that you only have to spend your time among the really complicated, more sophisticated decisions or alternatives. There are many, many things that can be done at this point. Ross Dawson: Which goes to, I think, one of the interesting points in your work—representational complexity. Some strategies are arguably simple; other strategies, you can call them more sophisticated, but they are more complex. The representation of complexity is greater. There are two things that are required for that. One is, of course, sophisticated thinking, but also, because strategy in any organization involves multiple people, it requires that there is an ability for a number of people together to hold a hopefully similar or very similar representation of a quite complex topic. What are ways in which AI can be used to enhance that development of more sophisticated or nuanced or complex representations that can support a better strategy? Felipe Csaszar: So that’s a great point. I have a paper from before this new round of AI called exactly that—representation complexity. There has been a long-standing discussion in strategy of when you want to use a simple representation, whether it’s better to use a complex representation, or something in between. We tried to clarify when each one of these applies. But then came this new round of AI, and I think it changes things a lot. I talk a little bit about this in a chapter I uploaded recently—it’s called “Unbounding Rationality.” The key thing there is that humans—we have our own computer here, it’s the brain, and the brain has some constraints. One very important for strategy is the capacity of our working memory. There’s this famous paper from the 1950s called “The Magical Number Seven,” that we can hold in our working memory seven plus or minus two items—so between five and nine things we can keep at the same time in our mind. That’s why, for example, I think all strategy frameworks are very simple. There’s the five forces—fits within our working memory—or these typical two by twos, they have four quadrants—fits within our working memory. But AIs don’t have that bound. They are not constrained by the same working memory constraint that we have. So I would expect that future frameworks will be much more complex, that representational complexity will increase because of AI. Of course, frameworks of the future won’t have a million things, because when you put too many things, you’re overfitting—it works well with things that happened in the past, but not in the future—but they will probably have more than five things. Also, another reason for not having a million things inside a framework is that at the end of the day, you will still need to communicate frameworks. You will need to convince the other people in the organization, the ones that are implementing the strategy, that this is the right strategy. You will need to convince them, so you don’t want to have something that’s extremely complex. But my guess would be that the complexity of frameworks and of strategies will increase with AI. Ross Dawson: So looking forward—you talked about 10 or 20 years. If we see the current pace of capability development of LLMs on a similar trajectory, where do you see the remaining role of humans as a complement to AI in shaping strategy? I think you mentioned this possibility of essentially AI forming strategy, but I think for a wide array of reasons, it will be human plus AI—humans will play a role as final decision maker or other things. So where do you see those fundamental human capabilities still being retained for the foreseeable future, as a complement to AI in strategy? Felipe Csaszar: So I think that for the next 10, 20, maybe 30 years, humans will be really busy coming up with how to use AI—all of these experiments that we mentioned, people will be running all of those things in all different industries, and that takes a while. That will require human ingenuity and trying things and really understanding strategy and understanding the capabilities of AI. So I don’t see AI replacing human strategists in the very short term. On the contrary, because of AI, strategists will be more busy finding what are the best ways of using AI in their businesses. I think 10, 20, or 30 years is very reasonable. If you think about the previous technological revolution, which I could say was the Internet—the technology for the Internet, we could say, existed since around ’94. The World Wide Web is from ’94, browsers are from ’94, bandwidth enough to send email. Essentially all of the technology that supports internet business today was mostly in place in the mid to late ’90s. But the businesses, or people, ended up using all of those things 10 or 20 years after that, because it takes a long time for people, for strategists, to come up with the idea—for someone to come up with the idea of, let’s say, Netflix or eBay or PayPal or Facebook—all of those things, they take time for people to understand this is doable. Then it takes time to implement. Then it takes time for users to say, “Hey, this is useful.” There’s a lot of adaptation, and then there will be regulation. So the whole process takes a long time. I don’t think that businesses will change from one day to the next. It will be a relatively slow process that will take decades. When we look back in 20 years from now, we will see, “Hey, everything changed,” but every year we will see just a little bit of change, like what happened with the Internet. So I imagine that people designing strategies, implementing strategies, they will be very busy in the next 20 years. Ross Dawson: So to round out, I won’t ask you to make predictions, but maybe some hypotheses. What do you think are some interesting hypotheses that will inform your research—not just next year, but in the years beyond? Where do you think are the interesting avenues that we should be not just exploring and researching, but where there is a valid and useful hypothesis? Felipe Csaszar: Yeah, so many things, but one very important—I think that strategy will be more about making the right predictions. The role of foresight. It turns out that when you want to train a machine learning algorithm, you need to have some signal that informs how you train the system. It’s called the gradient, or the objective function. So in strategy, we will need to make that more central, and then think, what are the best ways in which you can use AI to make the right predictions? That requires measuring the quality of predictions. So you change this in the business, and this ends up happening. We want an AI to be able to do that. So coming up with ways in which you can measure the quality of decisions will become more important, so that we can train those AIs. That’s one. And very related to that is, well, the thing that’s generating the predictions are representations, and then it’s coming up with those more complex representations that are better at making decisions or are better at discovering things that are hard for humans to discover. Those are the two main things. I think the future of strategy will be about finding ways of improving foresight and finding ways of improving the thing that creates that foresight, which are the representations. All of that will change what has been called the strategy process—how we make decisions in strategy. Ross Dawson: So I just need to pick up on that point around prediction. One of the challenges with external predictions is that, then, as a strategist, you have to say, either I will build my strategy based on that prediction, or I question that prediction. I think there are alternatives or attribute probabilities to it. So even if a prediction machine gets better, it’s still very challenging, particularly cognitively, in terms of accountability for the strategist to incorporate a prediction where you don’t necessarily have all of the logic behind the prediction as a machine learning model to incorporate. So how can a strategist incorporate what may be a relatively black box prediction into an effective strategy? Felipe Csaszar: Yeah, well, and here we are in the conjecture part of this interview. So my answer is in that spirit. I think there are two ways out of this. One is that we will ask for explainable predictions. There’s a whole area of AI called Explainable AI, which is exactly trying to do this—not just say what’s the best prediction, but why the AI is saying that’s the right prediction. So that could develop, and probably that will develop, because humans will question whatever the AI will predict. That’s one way. The other is, imagine that the AI becomes very, very, very good at making predictions. Then at some point, it doesn’t matter if it can explain it or not—it’s just making very good predictions. It’s like, imagine you want to win at chess and you have this machine that can play chess very well. This machine wins at chess. You don’t need to exactly understand how that machine is making each one of those decisions. But if the machine is very good at it, and it’s consistently good at it, people will use it. In a sense, the market will decide. If this works better than a machine that provides an explanation for each one of the steps, people will just go with the one that’s making the right prediction. Ross Dawson: I think there’s all sorts of other places we can go to from there, but that’s fascinating. So where can people go to find out more about your work? Felipe Csaszar: Well, I upload all of my stuff to SSRN. So if you Google my name and SSRN, you will find all of my papers. In the near future, like in the next three months or so, I’ll have two things coming out. One is a Handbook of AI, written also with my co-editor Nan Jia from USC, that will have 20 chapters that will explore different ways in which AI will be affecting strategies—the Handbook of AI and Strategy, published by Elgar. And then around that same time, there will be a special issue of the Strategy Science journal where I’m one of the co-editors, which will be exactly about the same—about AI and strategic decision making. We already have accepted several of the papers for that special issue. Those papers will be pushing the frontier of what we know about AI and strategic decision making. Ross Dawson: That’s fantastic. I will certainly be following your work—very highly aligned with the humans plus AI movement. And thank you for all of the wonderful research and work you’re doing. Felipe Csaszar: Thank you so much, Ross. It’s been a pleasure. The post Felipe Csaszar on AI in strategy, AI evaluations of startups, improving foresight, and distributed representations of strategy (AC Ep32) appeared first on Humans + AI.

Dimestore Radio Theater: Our President’s Day Special! WFMU Playlist & Interactive Live Chat (The Digital Salon) Another holiday means another round of episodes from the Lux Radio Theater and The CBS Radio Mastery Theater, to offer you two different ways to spend the day. First, we hear a version of, Blossoms in the Dust, the “true” story of a … Continue reading Dimestore Radio Theater: Our President’s Day Special!

One long trip into the past this week plus a bunch o' new stuff.Playlist: Elton Dean, Hugh Hopper, Simon Goubert, Sophia Domancich - Kings and queensJeff Lofton - She's about a moverGlenn Makos & Bru - Liquid sunshineHugo Blouin - Soupe pragmatiqueDon Thompson - A waltz in 3 quarter timePeter Paulsen - Fine featheredRick Roe - Modal yodel #2

1.  Guest: Richard Snow. Snow introduces the key figures of the Somers mutiny: Philip Spencer, the rebellious son of a cabinet member, and Captain Mackenzie, a disciplinarian author. Their conflict unfolds aboard a crowded, experimental naval school ship.

Support us on https://www.buymeacoffee.com/onlyonepodcast Playlist: 01. Pensees - Eclectica (Original Mix) 00:00 02. Pensees - Meet Me (Original Mix) 03:02 03. Pensees - Terminal (Original Mix) 05:45 04. Pensees - Moment (Original Mix) 08:05 05. Pensees - Chronicle (Original Mix)10:50 06. Pensees - 4.35 am (Original Mix)13:54 07. Pensees - Echoes (Original Mix)16:26 08. Pensees - Moonlift (Original Mix) 18:42 09. Pensees - Milove (Original Mix) 22:01 10. Pensees - Sad Alien (Original Mix) 24:44 11. Pensees - Mental Connection (Original Mix) 28:16 12. Pensees - Intergirl (Original Mix) 31:50 13. Pensees - Subwater (Original Mix) 35:02 14. Pensees - Slow Kisses (Original Mix) 37:37 15. Pensees - Existence (Original Mix) 40:54 16. Pensees - Scamper (Original Mix) 43:54 17. Pensees - Lunamoth (Original Mix) 46:43 18. Pensees - Lines In Head (Original Mix) 49:44 19. Pensees - Callovs (Original Mix) 52:26 20. Pensees - Cycle (Original Mix) 55:02 21. Pensees & Øneheart - Sequoia (Original Mix) 58:42

Happy Chinese New Year! Fire Horse!Playlist: Melissa Hui, Zuzana Šimurdová - When Soft Voices DieBright Sheng, The Orchestra Now - Let FlyDu Yun, International Contemporary Ensemble - Impeccable QuakeRoydon Tse - BreatheWang Jie, JoAnn Falletta- Buffalo Philharmonic Orchestra - The Winter That United UsVincent Ho, Tony Yike Yang, piano - The Twelve Chinese Zodiac Animals, Book II, Vol. 2Gao Hong, Royal Philharmonic Orchestra - Flying Dragon Concerto

karen power, keith de mendonca; works from the mɜː.məˈreɪ.ʃən #6: sounding objects compilation by agnieszka habraschka, aroa fuentes, ecem ince, ellie cherry, manon fantini, and pheobe riley law; sounds from the aporee maps by maciej wirmański (poland), pauline de tavernier (france), bbpppqqqdd (japan), sory edouard (switzerland), and matthias feuersenger (cape verde); and a framework introduction recorded in norway by dillon j. vessels. image: 'mɜː.məˈreɪ.ʃən #6: sounding objects', engraved glass 2026, photo by jez riley french. for a full playlist see https://frameworkradio.net/2026/02/961-2026-02-15/.

To find The Cosmic Peach Podcast---> https://open.spotify.com/show/0a2MALZHeOng77TuwryzZU?si=7bf9298c27424781Sign up for our Patreon go to-> Patreon.com/cultofconspiracypodcastTo Find The Cajun Knight Youtube Channel---> click hereTo find the Meta Mysteries Podcast---> https://open.spotify.com/show/6IshwF6qc2iuqz3WTPz9Wv?si=3a32c8f730b34e79Cult Of Conspiracy Linktree ---> https://linktr.ee/cultofconspiracyBecome a supporter of this podcast: https://www.spreaker.com/podcast/cult-of-conspiracy--5700337/support.

Hold on to your hats, folks! This interview is wild! Today I am sharing with you an interview of an SRA survivor who has seen and been through some really crazy shit. The beginning of the interview moves a little slow, but stick it out to the end, it's totally worth it.Hate the Ads? Join Patreon! PATREON (ROOM 237)!⁠https://www.patreon.com/Cosmicpeachpodcast⁠

Faith No More, The Body & Kreig, Sunburned Hand Of The Man, 1-800-HOT-DUCK, Puritan Bone, Monastics, Amphibian Performance, astrid hubbard flynn & aros e-v, Storm Ross, Kmet, and Lone Adventurer

Another UFO: Supplemental (Document #MVM05) WFMU Playlist & Interactive Live Chat Time marches on, and the case files regarding Extra Terrestrial activity only get larger and more complicated. This time we try to get to a few different perspectives, all of which draw no conclusions that are any different than the ones you knew about … Continue reading Another UFO: Supplemental (Document #MVM05)

This show has been flagged as Clean by the host. Thorium Reactors 01 Introduction In this episode we will describe the use of thorium in nuclear power, including what thorium is, how it differs from uranium, and what sort of reactors can use it. 03 What is thorium 05 How thorium differs from uranium 07 Sources of Thorium 09 Why there is interest in using thorium as a fuel 10 Abundance of Thorium 11 Some Countries Have a Lot of It 12 Thorium Breeder Reactors are Simpler than Uranium Breeder Reactors 14 Supposed Lower Nuclear Weapons Potential 16 What is Thorium Breeding 20 Breeding Ratio 21 What sorts of reactors can use thorium 22 PHWRs - Heavy Water Reactors (Including CANDU) 24 HTR - High Temperature Gas Cooled Reactors 26 MSR - Molten Salt Reactors 29 Light Water Reactors (PWR, BWR) 31 Fast Neutron Reactors 32 The Challenges Facing Thorium Fuelled Reactors 37 Thorium in India - An Example Use Case 39 Why is India Pursuing Using Thorium? 40 How a Thorium Fuel Cycle Would Work in India 43 Current Status 46 Conclusion Thorium is an abundant material that is seen as an alternative to uranium in nuclear power. Experimental thorium power reactors date back to at least the 1960s. No new reactor technology is required to use thorium. Existing well proven reactor designs which have been in use for decades can use thorium as fuel. The common light water reactor designs that popular in some countries however are not well suited to using thorium. Initial interest in thorium was mainly driven by a perception that uranium would be in short supply in future, and slow neutron thorium reactors were cheaper and simpler than fast neutron uranium reactors. However, huge new high grade supplies of uranium were found in a number of countries, causing uranium prices to fall and reducing interest in finding alternatives. While some R&D continues on thorium fuel in a number of countries, the mainstream of development continues to be on uranium based fuel. Some countries with abundant thorium reserves though maintain a major interest in thorium, with India being the prime example. In the next episode we will describe small modular reactors. Provide feedback on this episode.

3 hour spin...audio / playlisthttp://feeds.feedburner.com/RadioTroubleArchives

Dimestore Radio Theater #155 WFMU Playlist & Interactive Live Chat (The Digital Salon) A simple effort to test his sikills, and renew his Private Eye License, causes Richard Diamond get involved in a murder case that happens at the police station, DURING a test.  Meanwhile, we spend a fair amount of time in Cairo’s Chinatown, … Continue reading Dimestore Radio Theater #155

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Support us on https://www.buymeacoffee.com/onlyonepodcast Playlist: 01. VOJ & Narvent - Memory Reboot (Extended Mix) 00:00 02. VOJ & Nueki & Narvent & Tolchonov - Aurora (Extended) 06:31 03. VOJ & Asketa - Prophet Cosmic (Original Mix) 10:46 04. VOJ & Asketa - Constellation (Original Mix) 12:40 05. VOJ & Heartixe - Lost Generation (Extended Mix) 14:50 06. VOJ & Narvent & KoruSe - Euphoria (Original Mix) 20:32 07. VOJ & ATSMXN - Winter Memories (Slowed Extended Mix) 23:34 08. VOJ & Narvent - Moonlit (Original Mix) 27:14 09. VOJ & Narvent - Lost Memory (Original Mix) 29:40 10. VOJ & Asketa - Another Side (Slowed) 32:10 11. VOJ & Gotei - Art Inside (Original Mix) 35:02 12. VOJ & Asketa - Farewell Serenade (Extended Mix) 37:00 13. VOJ & IVOXYGEN & Zaichkou888 & HXPETRAIN Not Perfect (Original Mix) 40:10 14. VOJ & Nightmorss - Golden Dragon (Slowed) 43:00 15. VOJ & Narvent & VXLLAIN - Distant Echoes (Original Mix) 44:40 16. VOJ - Ghost Raider (Original Mix) 47:25 17. VOJ & Asketa - Summer (Original Mix) 49:38 18. VOJ & Asketa - Kaleidoscope (Original Mix) 52:10 19. VOJ & B.A.S.L. - Fire In Me (Original Mix) 54:00 20. VOJ & Asketa - Mozart (Original Mix) 57:02

Send us a textAndrew Munn in conversation!Deep Listening, Between Cage and Wagner, from Silence to Parsifal. Listening for the unheard, where sound becomes ceremony.>>>>>>>>>>>>>>>Links to more on what we spoke of:ANDREW MUNNShort video from the HMML performance.Peter MatteiJohn CagePauline OliverosDeep ListeningRami SarieddeineShanghai Concert HallTanglewoodParsifalMagic FluteElektraSupport the show_________________________________________________This podcast is a production of the Henry Miller Memorial Library with support from The Arts Council for Monterey County! Let us know what you think!SEND US AN EMAIL!

Neste episódio do Brassagem Forte, Henrique Boaventura recebe Fábio Koerich para uma conversa profunda, técnica e necessária sobre o estilo BJCP 34B – Mixed-Style Beer. Um daqueles estilos que parecem simples na teoria, mas que exigem muito critério quando o assunto é criação, inscrição em concursos e julgamento.O papo passa pela evolução do BJCP, pela diferença entre Mixed-Style e Experimental, pelos erros mais comuns na hora de inscrever cervejas e, principalmente, pelo que realmente importa: o que está no copo. Harmonia, equilíbrio, drinkability e comunicação sensorial são discutidos tanto do ponto de vista de quem produz quanto de quem julga.Além da discussão conceitual, o episódio entrega uma aula prática com uma receita detalhada de Cold IPA (ou Crispy IPA, como o Fabito prefere chamar), abordando água, adjuntos, fermentação lager, lúpulos, dry hopping e técnicas para alcançar limpidez, amargor limpo e final seco.Um episódio essencial para quem quer entender melhor as categorias de especialidade, evitar armadilhas em concursos e, ao mesmo tempo, ampliar o repertório criativo com responsabilidade técnica.

framework:afield produced in germany by felix birke. for a full playlist see https://frameworkradio.net/2026/02/960-2026-02-08/.

Unexplained infertility, PMS, and low progesterone are often dismissed when labs fall “within range.” In this episode, Dr. Brendan McCarthy explains why prolactin may be the missing piece. Learn how mildly elevated prolactin can suppress ovulation, lower progesterone, and impact fertility—even when labs appear normal. We also discuss common causes, symptoms, the role of stress and medications, and why diet (including gluten sensitivity) may matter. This episode focuses on precision medicine, not fear—helping you understand what standard reference ranges often miss. Citations: Research — Prolactin and Breast Cancer Risk Below are key epidemiologic and review papers that inform the discussion in this episode regarding prolactin and breast biology. These studies look at associations, not simple cause-and-effect relationships, and help explain why prolactin shows up in breast health conversations. Meta-analysis: circulating prolactin and breast cancer risk Wang M, et al. (2016). Plasma prolactin and breast cancer risk: a meta-analysis. Cancer Causes & Control. This meta-analysis pooled data from multiple observational studies comparing women with higher versus lower circulating prolactin levels. Across studies, higher prolactin levels were associated with a modest but statistically significant increase in breast cancer risk. The association was most evident in postmenopausal women and in hormone-receptor–positive tumors. This helps explain why prolactin is considered a relevant growth signal in breast tissue rather than just a “lactation hormone.” Systematic review and meta-analysis: prolactin levels across breast cancer cohorts Aranha AF, et al. (2022). Impact of prolactin levels in breast cancer: a systematic review and meta-analysis. Endocrine-Related Cancer. This more recent systematic review and meta-analysis evaluated circulating prolactin levels across breast cancer populations and control groups. Elevated prolactin levels were associated with higher breast cancer occurrence, with stronger associations seen in invasive cancers and hormone-receptor–positive disease. This paper adds weight to the idea that prolactin participates in breast biology in ways that matter clinically, even outside of pregnancy and breastfeeding. Prospective cohort studies: prolactin measured before diagnosis Tworoger SS, et al. (2004; 2006). Prospective analyses from large cohorts including the Nurses' Health Study. In these studies, prolactin was measured years before any breast cancer diagnosis. Women with higher prolactin levels had a higher likelihood of developing breast cancer later, particularly estrogen-receptor–positive tumors in postmenopausal women. Because prolactin was measured before cancer developed, these studies help clarify timing and reduce the concern that elevated prolactin is simply a consequence of disease. Mechanistic context (supportive background) Experimental and translational studies show that prolactin receptor signaling influences mammary epithelial cell growth, differentiation, and interaction with estrogen signaling pathways. This provides a biologic backdrop for why epidemiologic associations between prolactin and breast cancer risk keep appearing across different study designs. How to read this as a clinician or patient These data do not mean prolactin “causes” breast cancer in a simple or deterministic way. What they do show is that prolactin is an active hormone in breast tissue, and chronically higher levels are consistently associated with changes in breast risk profiles across large populations. That's why prolactin deserves attention in conversations about fertility, breast symptoms, and long-term hormonal signaling—not fear, and not dismissal.    Dr. Brendan McCarthy is the founder and Chief Medical Officer of Protea Medical Center in Arizona. With over two decades of experience, he's helped thousands of patients navigate hormonal imbalances using bioidentical HRT, nutrition, and root-cause medicine. He's also taught and mentored other physicians on integrative approaches to hormone therapy, weight loss, fertility, and more. If you're ready to take your health seriously, this podcast is a great place to start.  

Send us a textDr. John Neustadt, ND, is the Founder and President of Nutritional Biochemistry, Inc. (NBI). Dr. Neustadt earned his naturopathic medical degree from Bastyr University where he was awarded the Founder's Award for academic and clinical excellence.Dr. Neustadt is a highly sought-out speaker at medical conferences, and has been recognized as one of the Top Ten Cited Authors in the world for his work. His research on integrative and functional medicine has been featured in the Natural Medicine Journal, Integrative Medicine: A Clinician's Journal, Holistic Primary Care, Molecular Nutrition & Food Research, and Experimental and Molecular Pathology.Dr. Neustadt has published more than 100 medical articles, written four health and wellness books and is now a #1 Amazon Best Selling Author in the field of Osteoporosis. His most recent book is, Fracture-Proof Your Bones: A Comprehensive Guide to Osteoporosis.Dr. Neustadt was also an editor of the textbook Laboratory Evaluations for Integrative and Functional Medicine, which was used across the United States to train and educate physicians on using functional medicine with their patients.Find Dr. Neustadt at-https://www.nbihealth.com/Find Boundless Body at- myboundlessbody.com Book a session with us here!

Our videos are made possible by Members of CorridorDigital, our Exclusive Streaming Service! Try a membership yourself with a 14-Day Free Trial ► http://corridordigital.com/Niko, Wren, and Sam come together in this podcast at a time when their current experimental projects reach a head. They take a moment to share with you their individual project updates and how overwhelming it can all feel. Also, how is your relationship with The Truth holding up?Join our Public Fan Discord for Questions and Collaboration - https://discord.gg/cRef7KyN8hThis episode was recorded LIVE, exclusively for our website subscribers. Look out for updates on our website homepage, YT Community, and social media to find out about our next live recording session!