Podcasts about CVS

Nine women and three men had to decide whether Lindsay Clancy chose to kill her children or whether her doctors broke her brain with medications. The prosecution held up a CVS receipt as proof of planning. The defense rattled off prescriptions one by one until the chart ran off the page. Criminal defense attorney Bob Motta sat in the gallery for every day of it.Bob joins Tony Brueski for the full conversation covering all three parts of the interview. He starts with what the cameras missed — the grief in the gallery, the jury's reactions during the worst testimony, Lindsay's in-person appearance, and the moment the room shifted. He moves to the prosecution's strongest evidence: the twenty-minute window, the takeout timing, and ADA Jennifer Sprague's argument that Lindsay resented her life. He examines the defense's medication cascade and Kevin Reddington's closing.Bob closes with the question everyone is asking: what happens to Lindsay Clancy? She has been inside Tewksbury Hospital since 2023, paralyzed from the waist down. Andrea Yates has been committed for twenty years. Whether the verdict is guilty or not criminally responsible, Lindsay's life is inside a locked building. Bob explains the commitment process, the annual evaluations, and whether any realistic scenario involves her walking out.Listen Anywhere You Get Podcasts: https://pod.link/1655749292Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspod?sub_confirmation=1Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/tonybpodThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.#LindsayClancy #LindsayClancyTrial #BobMotta #TrueCrime #PostpartumPsychosis #InsanityDefense #HiddenKillers #PatrickClancy #MurderTrial #DefenseDiaries

CPG disruptors have entered just about every legacy category over the past few years in hopes of capturing bored consumers looking for more interesting everyday products.  We've seen this play out across dandruff shampoo, toothpaste and mouth wash, supplements, sunscreen, and, most recently, the allergy aisle.  “We did a ton of consumer work up front, probably too much, pulling research reports, data and our own survey of 600 consumers, and what we realized was that there is a huge experience and efficacy gap,” Loren Lucree, the CEO and founder of 9-month-old allergy-care brand Wizard Wellness, told Glossy. “[We found that] only 7% were loyal to their current solutions, which is bananas. … [The] lesson is nobody's writing love letters to Flonase or Zyrtec.”  Lucree is a beauty industry veteran formulator and executive. His CV includes Unilever and Estée Lauder brands. “One morning I woke up and told my poor husband, ‘I have to do this,' … because somebody else will do it if I don't,” Lucree said. “[I thought], ‘I have this amazing beauty network around me, and now's the time'.” Lucree secured $7 million in funding from True Beauty Ventures, G9 Ventures, Able Partners and The Venture Collective to launch Wizard Wellness via a DTC model in January. The brand is built on a beauty industry playbook, including cleaner ingredients, clear positioning, clinical testing, a dynamic OOH advertising funnel and social-first marketing. Now, just nine months post-launch, Wizard Wellness has entered CVS, Walmart and, as of Monday, Target stores.  Glossy West Coast correspondent Lexy Lebsack sat down with Lucree to learn firsthand how he took on allergy incumbents and what it'll take to become a leader in the space.

The prosecution's case for premeditation depended on proving Lindsay Clancy was clear-headed when she killed her three children on January 24, 2023. Their strongest evidence: she sent Patrick to CVS and a Thai restaurant, creating a twenty-minute window. ADA Jennifer Sprague argued that a woman being controlled by a hallucinated voice cannot plan a pickup order, time a pharmacy trip, and carry out three separate acts in that span.The defense called that argument a misunderstanding of psychosis. Kevin Reddington told the jury that organized behavior and psychiatric crisis coexist every day in every hospital in the country. He showed the jury a chart of Lindsay's prescriptions — over a dozen psychiatric medications prescribed by providers who were not coordinating her care. He showed her journal entries from December 2022, one month before the killings, where her handwriting had deteriorated into scrawl.Criminal defense attorney Bob Motta was in the courtroom for both arguments. He joins Tony Brueski to examine which version the parents on the jury appeared to believe. Bob walks through the medication evidence, Lindsay's documented attempts to seek help, and the prosecution's argument that reaching for treatment proves she understood what was happening — not that she was sick.Lindsay told her doctors she was having intrusive thoughts about harming her children. She checked herself into two hospitals. She was prescribed medication after medication. The prosecution called it a cover story. The defense called it a system that destroyed her.Listen Anywhere You Get Podcasts: https://pod.link/1655749292Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspod?sub_confirmation=1Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/tonybpodCheck out Robin Dreeke's Master Class https://www.masterclass.com/classes/become-the-person-everyone-trustsThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.#LindsayClancy #PostpartumPsychosis #LindsayClancyTrial #TrueCrime #BobMotta #MaternalMentalHealth #HiddenKillers #MurderTrial #KevinReddington #CriminalJustice

A jury can't decide what to do about a woman who killed her three kids, so the women of TikTok have solved it for them: it was the husband, because husbands don't go to CVS. And given the Pluto placement that day, no Leo would have done this. It defies the science of all astrology.Also in this one: Trump renames Lake Ontario to Lake America and somebody's getting rich printing the new maps. The Venezuela oil deal broken down as what it really is — a headline with no article attached — including the $80/barrel break-even, the $100 billion buildout, and the five-to-seven years before any of it reaches the market, set against the $150 billion already spent on Iran. The Supreme Court greenlights the ballroom without ruling on whether it was legal, because the wrong person asked. Massie's second attempt at the Epstein files. A Fauci email that was supposed to be deleted twice. And a full Tales From The Flock: felony charges over a fake camera, drones over the Flock convention, Hawley's investigation, and the Officer of the Year whose award didn't survive his ex-girlfriend.Live porch shows: porchstore.comMerch: robbernsteinmerch.comPaywalled after-show, $5/mo: robbernsteincomedy.com

The prosecution's own forensic psychologist Kirk Heilbrun told the jury Lindsay Clancy killed her children out of love — a serious suicide attempt where she could not bear to leave them behind. Heilbrun said she was criminally responsible, but his characterization of the motive cut against the prosecution's theory of premeditated cruelty.Forensic psychiatrist Gregory Saathoff, also testifying for the prosecution, agreed under questioning that the state's opening statement minimized what Clancy had been going through. Saathoff found what he called significant inconsistencies in Clancy's account of the voice she says commanded the killings.Retired FBI Special Agent Jennifer Coffindaffer joins Tony Brueski live as the jury deliberates. They disagree on this case and dig into whether the prosecution can convict when its own experts softened the case on the stand.Assistant District Attorney Jennifer Sprague told the jury Clancy planned it — mapped the distance to the restaurant, added the CVS stop, calculated the window. Sprague called the children protective factors Clancy removed so she could end her own life.Nine women and three men have five verdict options. They deliberated three and a half hours on day one.Listen Anywhere You Get Podcasts: https://pod.link/1655749292Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspod?sub_confirmation=1Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/tonybpodThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.#LindsayClancy #LindsayClancyTrial #HiddenKillers #JenniferCoffindaffer #TrueCrime #PostpartumPsychosis #VerdictWatch #ClosingArguments #HKLive #MaternalMentalHealth

Today, I'm joined by Lorne Lucree, founder & CEO of Wizard Wellness.   Aspirational allergy support, Wizard Wellness is applying skincare logic to nasal care with its drug- and steroid-free sinus microbiome system.   In this episode, we discuss why the allergy aisle is ripe for disruption.   We also cover: Missing solutions for a large TAM First clinical testing and vanity metrics in allergy aisle Beauty playbook: microbiome science meets friction reduction   Subscribe to the podcast → insider.fitt.co/podcast  Subscribe to our newsletter → insider.fitt.co/subscribe  Follow us on LinkedIn → linkedin.com/company/fittinsider    Website: www.wizardwellness.com Available at Amazon, Walmart, CVS, and Target Store Locator: https://wizardwellness.com/pages/where-to-buy  Instagram: https://www.instagram.com/wizardwellness  Tiktok: https://www.tiktok.com/@wizardwellness    -   The Fitt Insider Podcast is brought to you by EGYM. Visit EGYM.com to learn more about its smart fitness ecosystem for fitness and health facilities.   Fitt Talent: https://talent.fitt.co/  Consulting: https://consulting.fitt.co/  Investments: https://capital.fitt.co/    Chapters: (00:00) Introduction (01:18) Background and overview (03:15) Drug-free, steroid-free approach (04:30) Prestige beauty connection to allergies (05:45) Microbiome science evolution (07:30) Vanity metrics and clinical testing (09:15) TAM and market opportunity (12:27) Drug-free solutions gaining traction (15:00) Customer acquisition and messaging strategy (19:00) Cleanse, relieve, balance (20:15) Navigating the education path (23:15) Oral care and skincare parallels (27:30) Shelf positioning and brand blocking (29:15) Expansion and messaging (31:48) Where to find Wizard Wellness (32:23) Conclusion

Full show notes: bengreenfieldlife.com/505 In this solosode, you'll get the latest on microplastics, spinal disc health, and what a heart scan sees that a cholesterol panel misses. A new seven-day trial pitted five plastic-avoidance strategies against each other, and the results tell you exactly where to spend your effort if you can't overhaul everything at once. You'll hear which plastic sources matter most and what I now take before bed with BrocElite® (use code BEN for 25% off your first month) to help clear microplastics from tissue. Then I get personal about my back. I'll walk you through my full-body MRI results, which show significant degeneration from L1 to S1, and explain why I still have almost zero back pain, from Dr. Stuart McGill's Big 3 to inversion hanging, the couch stretch, the founder stretch from Foundation Training, and my WALKOLUTION® treadmill desk ($100 off, enter your email for a unique code). You'll also learn why running was the only activity linked to healthier spinal discs in a study of more than 4,000 people, and why none of the sports people assume are hard on your back showed harm. Finally, you'll hear what a coronary CT angiography measures that your cholesterol panel cannot, why a 6,061-person study found plaque volume beats any standard risk calculator, what my own scan revealed, and the surprisingly simple thing that appears highly protective even when your plaque is already elevated. Episode Sponsors: ULTRA: ULTRA is a clean, nicotine-free, caffeine-free pouch that delivers smooth, sustained energy and focus using clinically backed nootropics and adaptogens, with no jitters, crashes, or sleep disruption. Visit takeultra.com and use code BENGREENFIELD for 15% off. Forkful: Forkful delivers chef-cooked, fresh, ready-to-eat meals made with premium ingredients like grass-fed bison and wild-caught salmon, with zero seed oils and no prep or cleanup, ready in under 3 minutes. Visit ForkfulMeals.com and use code BEN50 for 50% off your first order. Quantum Upgrade: Recent research revealed that the Quantum Upgrade was able to increase ATP production by a jaw-dropping 20 to 25% in human cells. Unlock a 15-day free trial with the code BEN15 at quantumupgrade.io. Supzential: More Than a Toothpaste: Created by biological dentist Dr. Dome, it combines highly bioavailable hydroxyapatite, a patented probiotic, xylitol, and lactoferrin to support enamel remineralization and a healthy oral microbiome, with no fluoride, SLS, or titanium dioxide. Visit Supzential.com and use code BEN20 for 20% off your order today. Active Skin Repair: Active Skin Repair uses hypochlorous acid, a molecule your body naturally produces, to support skin repair and defense without harsh chemicals, from post-workout irritation to everyday skin support. Go to ActiveSkinRepair.com and use code BEN for 20% off, or find it on Amazon and at your local CVS.See omnystudio.com/listener for privacy information.

Ginny Yurich sits down with Active Skin Repair founder Justin Gardner to talk about the surprisingly simple product that has become a go-to in the Yurich household for the inevitable cuts, scrapes, bug bites, burns, and skin irritations that come with an active childhood. Justin explains the science behind hypochlorous acid—a molecule naturally produced by the body's immune system—and how he helped bring a medical-grade version of the technology from hospitals into everyday family life. They explore why formulation matters, how Active Skin Repair can replace a cabinet full of single-use products, and why its non-stinging, scent-free approach has resonated especially strongly with parents looking for simpler, cleaner options. Justin also shares the entrepreneurial journey behind growing the company from personally mailing its first orders to serving more than a million customers and landing on shelves in every CVS. Plus, hear about the company's expansion into hydration products and mineral sunscreens, the grit required to build a category-defining brand, and why sometimes the best products for getting kids outside are the ones that make parents a little less worried about what happens when they get there. Don't forget to put this in your first aid kit! Visit ActiveSkinRepair.com and use the code 1000HOURS to save 20% on all Active Skin Repair products. ** A huge thank you to our sponsors! Check them out below:  Fora Travel: Become a Fora Advisor today at Foratravel.com/1000hours  My Green Mattress: Visit www.mygreenmattress.com  and save 15% on your order during  their Labor Day Sale. Plus, use code 1000hours for an additional $10 off your cart total when you purchase any mattress. BetterHelp: Visit  www.BetterHelp.com/1000HOURS  today to get 10% off your first month. Quince - Visit www.quince.com/outside and get free shipping and 365 day returns IXL Learning - Head to www.ixl.com/1000hours to get an exclusive 20% savings on your membership Whisker - Take care of your cats while taking an additional $50 off bundles with code 1000HOURS when you shop www.whisker.com/1000HOURS  Muzzle Sleep Tape - Go to MuzzleSleep.com and use code 1000HOURS for 10% off.  Zenni Optical- Go to www.zenni.com/podcast  and use code PODCAST15 for 15% off your first order, plus free shipping on all U.S. orders over $65. Active Skin Repair - Don't forget to put this in your first aid kit! Visit ActiveSkinRepair.com and use the code 1000HOURS to save 20% on all Active Skin Repair products. KT by Knix - Go to www.KnixTeen.com , and use code 1000HOURS for 15 percent off. Learn more about your ad choices. Visit megaphone.fm/adchoices

Send us Fan MailRhode Island's primary sprint, the Providence mayor's race, and the shakeup in statewide politicsWith early voting underway, Bill Bartholomew and Jim Hummel (The Hummel Report, Ocean State Media, WPRO) break down a Rhode Island primary that feels unusually compressed, low-energy, and wide open in several marquee races. They focus on the governor's race, the Providence mayoral primary, and how turnout, apathy, and candidate organization could decide everything.We discuss why the governor's race appears to be Helena Foulkes versus Dan McKee, why Providence mayor could be the most consequential contest on the ballot, and how the attorney general and lieutenant governor primaries are shaped by heavy uncertainty and weak candidate separation. The conversation also zooms out to the collapse of Rhode Island Republican infrastructure and the question of whether independent Ken Block can change the dynamics.Key topicsThe primary feels like a sprint after a long buildup, with very little time to energize voters before election day.Hummel argues that apathy is the dominant force in this cycle, especially because many races feel either predetermined or hard to differentiate.In the governor's race, Dan McKee is framed as carrying a long list of political liabilities, including the Washington Bridge, CVS/opioids, and general voter fatigue.Helena Foulkes is seen as holding a consistent polling advantage, with multiple polls showing her ahead by a meaningful margin.The Providence mayor's race between incumbent Brett Smiley and challenger David Morales is described as the most interesting contest, with Morales bringing national attention and youthful energy.Smiley's strength is his political infrastructure, especially his turnout operation and support from Eddie Catucci, who is described as a master of mail ballots and ground game.The lieutenant governor and attorney general primaries are portrayed as crowded and muddy, with lots of undecided voters and very little ideological separation.The discussion notes that gun policy and constitutional concerns may be pushing some Democratic voters away from more aggressive positions in the AG race.National anti-incumbent sentiment is seen as helping challengers broadly, but not necessarily translating cleanly to every local race.Rhode Island Republicans are described as deeply weakened, lacking a coherent bench, a strong message, or an effective opposition strategy.Aaron Guckian and the Republican gubernatorial field are viewed as weakly positioned, while the congressional races are portrayed as even more chaotic.Ken Block is treated as the most plausible wild card in the governor's race, especially if he can consolidate support or benefit from a one-on-one dynamic.Timestamps(00:00) Opening the primary sprint and why this cycle feels flat (01:43) Why turnout and election-day energy matter more than usual (03:23) Providence mayor becomes the race to watch (05:36) McKee's polling problem and the uphill climb in the governor's race (06:23) What could help McKee and what still works against him (07:31) Smiley's turnout machine versus Morales' grassroots energy (08:42) Why the lieutenant governor and AG races are so unsettled (09:46) Little separation in the AG field and the gun policy divide (11:23) Does national anti-incumbent anger spill into Rhode Island? (13:14) What Providence schools and city management mean for Smiley (14:15) The collapse of the Rhode Island Republican ecosystem (15:55) Why the GOP congressional slate looks so weak (17:14) How Trump hollowed out the state party (19:41) Could Ken Block become the real governor's race alternative? (21:55) Block's media strategy and money challenge (22:25) Election day timing, early voting, and closing thoughtsSupport the showFollow Bill on Instagram and YouTube

CVS Health operates one of healthcare's largest consumer platforms, with businesses spanning health insurance, pharmacy benefits, retail pharmacy, care delivery and digital channels. This creates a rare opportunity to understand the full journey people navigate as they seek care, fill prescriptions, manage coverage and work to stay healthy. The company's overarching goal is not simply to improve each touchpoint. It is to remove the fragmentation that forces patients to piece care together on their own across multiple channels and organizations.In this episode of Healthcare is Hard, Keith Figlioli talked to CVS Health's head of enterprise customer experience, insights and innovation, Sri Narasimhan, to learn how the company uses customer signals, AI, and agentic twins to make healthcare more proactive and consumer-centered.Sri brings an unusually broad background to this challenge. He worked in Bangladesh and India on tuberculosis control, HIV initiatives and public health during college, but then decided to branch out so he could ultimately bring a more diverse skillset back to the healthcare industry. He started an economic consulting firm before going to business school. Then he joined GE, where he learned about commercial functions and consumer value. After GE, he worked at the tech company Medallia, where he sharpened skills around speed of innovation, and then moved to Wells Fargo where he worked as head of customer experience for branch banking, learning how to operate in a highly regulated environment.In 2021, Sri joined CVS Health where his work now sits at the intersection of consumer strategy and AI. During this interview, Sri shared his vast knowledge and experience to discuss topics including:Navigating bureaucracy. Sri points out that patients do not benchmark healthcare against other health plans, pharmacies or health systems. They compare it with the simple experiences they have everywhere else. He says most people want answers to four questions: Is it covered? What will it cost? When can I get it? And can I trust the answer? Healthcare's tendency to bury those questions in process and bureaucracy is a major source of frustration that Sri is focused on addressing.AI versus primary care. Trust grows when people get something valuable, and Sri expects consumers to increasingly turn to AI for quick answers about symptoms, diagnoses and side effects as those tools become more useful and accurate. But for serious health issues, he believes the provider relationship will remain essential. AI may change the questions patients bring to clinicians – and which interactions require a clinician at all – but people will still want a trusted human when the stakes are high.Agentic twins revolutionizing consumer research. Sri calls this technology one of the most transformational capabilities he has seen because it allows CVS Health to simulate the reactions of roughly 150,000 individual consumers in minutes. Through consented interviews, behavioral data and other context, CVS Health built digital twins of actual consumers that simulate how they think and act. Instead of recruiting a new panel, running a focus group or launching a small pilot every time the company wants to test an idea, CVS can assemble the relevant population from its bank of agentic twins and pressure-test messages, choices and scenarios before going live. As Sri puts it, “I have 150,000 patients in the room with us."To hear Sri and Keith discuss these topics and more, listen to this episode of Healthcare is Hard: A Podcast for Insiders.

Texas based attorney Mark Lanier joined Gene on Wednesday to discuss the landmark decision against social media companies that will platforms like META pay 17 billion dollars to dozens of states. Lanier also talks about his latest role in the opioids case he is prosecuting in Ohio which includes Rhode Island based pharmacist, CVS.See omnystudio.com/listener for privacy information.

Stream Midnight Sun! And Galaxy Brain. Please note that this episode may contain paid endorsements and advertisements for products and services. Individuals on the show may have a direct or indirect financial interest in products or services referred to in this episode. Sponsors: Shop at Sephora or get 10% off your first purchase at k18hair.com with code RIDE. That's code RIDE at k18hair.com. Today, Beekeeper's Naturals is giving my listeners an exclusive offer: Go to beekeepersnaturals.com/RIDE or enter code RIDE to get 20% off your order. Beekeeper's Naturals products are also available at Target, Whole Foods, Walmart, Amazon, CVS, and Walgreens. Produced by Dear Media. Learn more about your ad choices. Visit megaphone.fm/adchoices

If Lindsay Clancy was truly psychotic, why would she care whether Patrick was home? That's the question in this comment section, and it's the prosecution's argument, so it deserves the record's answer.Prosecutors allege she timed the errand. Patrick Clancy testified she asked him to add the CVS stop as he was walking out, and texted the product name around 5:15. Both facts are in evidence. Whether that adds up to premeditation is the jury's call, and the prosecution's own witness, Dr. Sejal Shah, agreed a person in psychosis can still communicate and plan.Her account of that night comes through three witnesses. Zeizel, Cavanaugh, and Mack all testified she described a male voice telling her she had no choice and had to kill the children and then herself. That's her claim, and prosecutors contest it. It's also the exact sequence she was on when Patrick found her in the yard.Another comment bets on OCPD. No expert who testified diagnosed it. The record has bipolar disorder from experts on both sides, major depression from Mack, and postpartum psychosis from the defense only.Then there's the coworker. Margaret Hamp testified she told Lindsay about Andrea Yates during Lindsay's first year on the unit, because a pregnant patient had come in planning to hurt herself. Lindsay had never heard the name. Her reaction is on the record and it opens this segment.Five comments about whether Lindsay was in her right mind, each checked against the doctors, the nurse practitioner, the therapist, and the standard the judge gave the jury. The psychosis fight is real. It's happening between experts, and the comment section is a long way behind them.END LINKSListen Anywhere You Get Podcasts: https://pod.link/1655749292Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspod?sub_confirmation=1Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/ Instagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/tonybpodDISCLAIMERThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.HASHTAGS#LindsayClancy #AndreaYates #HiddenKillers #PostpartumPsychosis #InsanityDefense #LindsayClancyTrial #TrueCrime #Duxbury #TrueCrimePodcast #ClancyTrial

One comment on this channel says the doctors found no head injuries on Lindsay Clancy, which proves she never went out the window head-first, which proves the defense pathologist is lying. Two facts from the record, one wrong conclusion.Dr. Kelly McDonough of South Shore Hospital testified that CT scans showed no head injury. A defense medical expert testified to a C1 Jefferson fracture, a break in the top vertebra of the neck that happens when the skull drives down into the spine on impact. That's the injury you get landing on your head without fracturing the skull. The head-first fall is the defense's account; the slide down the shingles is the prosecution's. Both put her going out that window on her own.The same commenter heard about the voice only once. The record has it from the prosecution's first witness. Patrick Clancy testified Lindsay called him from her hospital bed on Feb. 6, 2023 and told him a voice had ordered her to kill the children and herself. Forensic psychologist Paul Zeizel was on speaker for that call. Chaplain Sheila Cavanaugh said Lindsay alluded to it several times across 14 visits. Dr. Phillip Resnick heard it. So did Dr. Avram Mack, the prosecution's rebuttal psychiatrist, who testified she told him it started the moment Patrick left for CVS. What prosecutors argue is that it doesn't appear in her records before Jan. 24.This is the first segment of Lindsay Clancy: Conspiracy and Confusion, five comments checked against sworn testimony. It covers the rope that appears in no exhibit, the blood on the window, the knife, the carotid search her own lawyer showed the jury, and whether Patrick fled. The record answers each one.END LINKSListen Anywhere You Get Podcasts: https://pod.link/1655749292Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspod?sub_confirmation=1Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/ Instagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/tonybpodDISCLAIMERThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.HASHTAGS#LindsayClancy #PatrickClancy #HiddenKillers #TrueCrime #LindsayClancyTrial #ClancyTrial #Duxbury #PostpartumPsychosis #TrueCrimePodcast #PlymouthSuperiorCourt

Send us Fan MailRhode Island's primary sprint, the Providence mayor's race, and the shakeup in statewide politicsWith early voting underway, Bill Bartholomew and Hummel break down a Rhode Island primary that feels unusually compressed, low-energy, and wide open in several marquee races. They focus on the governor's race, the Providence mayoral primary, and how turnout, apathy, and candidate organization could decide everything.We discuss why the governor's race appears to be Helena Foulkes versus Dan McKee, why Providence mayor could be the most consequential contest on the ballot, and how the attorney general and lieutenant governor primaries are shaped by heavy uncertainty and weak candidate separation. The conversation also zooms out to the collapse of Rhode Island Republican infrastructure and the question of whether independent Ken Block can change the dynamics.Key topicsThe primary feels like a sprint after a long buildup, with very little time to energize voters before election day.Hummel argues that apathy is the dominant force in this cycle, especially because many races feel either predetermined or hard to differentiate.In the governor's race, Dan McKee is framed as carrying a long list of political liabilities, including the Washington Bridge, CVS/opioids, and general voter fatigue.Helena Foulkes is seen as holding a consistent polling advantage, with multiple polls showing her ahead by a meaningful margin.The Providence mayor's race between incumbent Brett Smiley and challenger David Morales is described as the most interesting contest, with Morales bringing national attention and youthful energy.Smiley's strength is his political infrastructure, especially his turnout operation and support from Eddie Catucci, who is described as a master of mail ballots and ground game.The lieutenant governor and attorney general primaries are portrayed as crowded and muddy, with lots of undecided voters and very little ideological separation.The discussion notes that gun policy and constitutional concerns may be pushing some Democratic voters away from more aggressive positions in the AG race.National anti-incumbent sentiment is seen as helping challengers broadly, but not necessarily translating cleanly to every local race.Rhode Island Republicans are described as deeply weakened, lacking a coherent bench, a strong message, or an effective opposition strategy.Aaron Guckian and the Republican gubernatorial field are viewed as weakly positioned, while the congressional races are portrayed as even more chaotic.Ken Block is treated as the most plausible wild card in the governor's race, especially if he can consolidate support or benefit from a one-on-one dynamic.Timestamps(00:00) Opening the primary sprint and why this cycle feels flat (01:43) Why turnout and election-day energy matter more than usual (03:23) Providence mayor becomes the race to watch (05:36) McKee's polling problem and the uphill climb in the governor's race (06:23) What could help McKee and what still works against him (07:31) Smiley's turnout machine versus Morales' grassroots energy (08:42) Why the lieutenant governor and AG races are so unsettled (09:46) Little separation in the AG field and the gun policy divide (11:23) Does national anti-incumbent anger spill into Rhode Island? (13:14) What Providence schools and city management mean for Smiley (14:15) The collapse of the Rhode Island Republican ecosystem (15:55) Why the GOP congressional slate looks so weak (17:14) How Trump hollowed out the state party (19:41) Could Ken Block become the real governor's race alternative? (21:55) Block's media strategy and money challenge (22:25) Election day timing, early voting, and closing thoughtsSupport the showFollow Bill on Instagram and YouTube

Did anyone actually investigate Patrick Clancy? That question runs under half the comments on this channel, and the Lindsay Clancy trial already answered it under oath.State Police Det. Sgt. Andrew Chiachio testified that he mapped the route Patrick drove the night of Jan. 24, 2023, pulled surveillance from the Kingston CVS and the ThreeV restaurant, and interviewed witnesses including Lindsay's mother. The CVS footage shows Patrick walking in at 5:32 p.m. The restaurant footage shows him picking up the order at 5:54. A Cellebrite expert testified Lindsay's phone placed a 14-second call to Patrick between those two clips. He was two miles away with a receipt.Then there's the New Yorker theory: that Patrick left the country in February 2023 and that proves something. The magazine did report solo trips to Latin America and Europe before he sold the Duxbury house. No February date appears in that reporting that I can find. He wasn't a suspect, he wasn't charged, and he came back to Massachusetts to testify for the prosecution for two days.Another commenter asks a fair question: if Lindsay was psychotic, can her admission even be trusted? Her admission isn't one statement. It's the 911 call, her lawyer's opening, a hospital phone call to Patrick that Patrick testified about, dozens of evaluations, and a formal stipulation in court to the DNA on the bands.This segment works through five comments and puts the testimony next to each one. Some claims are missing from the record. One is in the record and backwards. All of them get an answer you can check.END LINKSListen Anywhere You Get Podcasts: https://pod.link/1655749292Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspod?sub_confirmation=1Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/ Instagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/tonybpodDISCLAIMERThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.HASHTAGS#LindsayClancy #PatrickClancy #TrueCrimeToday #TrueCrime #LindsayClancyTrial #ClancyTrial #Duxbury #PostpartumPsychosis #TrueCrimePodcast #PlymouthSuperiorCourt

When Dick's Sporting Goods acquired Foot Locker last year, it was supposed to be a transformative deal that would serve a “broader range of consumers”. Fast forward to today, and the company is still struggling with the integration. Matt, Rachel, and Tyler take a look at the Dick's challenging quarter. Plus, unhearalded earnings reports and listener questions Have a question? Email us; podcasts@fool.com Tyler Crowe, Rachel Warren, and Matt Frankel discuss: - Dick's Sportinf Goods earnings and guidance cut. - Was it “geopolitical concerns” or just Foot Locker? - The woes of Walker & Dunlop - CVS HEalth's turnaround candidacy - Is UPS a value or a value trap? Companies discussed: DKS, NKE, ONON, ASO, UA, CROX, WD, CVS, UPS, AMZN Host: Tyler Crowe Guests: Matt Frankel, Rachel Warren Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit ⁠⁠megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

Should workforce transformation belong to HR? Bettina Dietsche, Group Chief People and Culture Officer at Allianz, doesn't think so. Bettina leads the people agenda for around 156,000 employees at Allianz. She came to HR after 25 years in IT and digital transformation, picking up the people function while serving as COO of Allianz Commercial during a company turnaround. That background shapes her view that HR's job is to challenge and push transformation onto the business agenda - not to own it.In this episode, David and Bettina discuss: Why she believes HR should challenge and nudge workforce transformation, while ownership sits with the businessHow 25 years leading IT and digital transformation, including a COO turnaround, shaped her approach to the CPO roleWhy she runs regular sessions with more than 60 CEOs across Allianz, and what that partnership actually looks like in practiceHer test for a healthy culture - what people do when no one's watching - and why she calls culture "the hardest currency"How Allianz builds daily AI habits into leadership, from "AI gem sessions" to asking each morning what AI can help with firstWhy she sees AI creating as many new early-career roles as it displaces, and how Allianz is reshaping graduate hiring around that This episode is sponsored by Valence. Nadia, Valence's AI coaching platform, connects talent strategy to the work employees are actually doing — offering coaching from the frontline to the boardroom, and surfacing organisational insights that weren't visible before.As the most widely deployed coach in the Fortune 500, Nadia is already helping global leaders like Nestlé, Delta, CVS, and Kraft Heinz transform talent at scale.Learn more at valence.co/insight222 Hosted on Acast. See acast.com/privacy for more information.

On August 8th, 2026, 63-year-old grandmother Alisa Goods stepped out of a Las Vegas home to pick up iron pills from a nearby CVS. She never came back and there aren't any witnesses we're aware of, no trace of the woman, just silence. Then four days later, her phone started sending texts to her family asking for gas money and Bitcoin. There's one problem: Alisa Goods doesn't drive and I doubt she even uses bitcoin. Someone else likely has her phone and they knew her name, her family's numbers, and exactly how to make them desperate enough to consider sending money. Her daughter flew across the country to search while other family members plea for help on the internet. Her son recorded a phone call from a woman claiming to be his mother but the voice on the other end of the line, wasn't her. Law enforcement says there's "nothing to suggest she is in danger," but I join the family in disagreeing. This is the story of a woman who simply went to the store and a case that is raising serious questions about fraud, foul play, and who gets to decide when a missing person matters. #AlisaGoods #MissingPerson #LasVegas #LasVegasMissing #LVMPD #LasVegasMetroPolice #Nevada #BlackAndMissing #FindAlisaGoods #TrueCrime #MissingWomen #BringAlisaHome #ColdCase #MissingGrandmother #Esri #GIS #ArcGIS========================================20% OFF Newspapers.comhttps://www.newspapers.com/go/podcast/?ref=profilingevil?xid=8877&utm_source=ProfilingEvilPodcast&utm_medium=podcst&utm_campaign=ProfilingEvil26========================================Discounts on eBikes: https://aipasbike.com/?ref=PROFILINGEVILReferral Coupon Code: PROFILINGEVIL========================================Email your questions to: ProfilingEvil@gmail.com========================================

Big Dipper and Meatball welcome campy queen Darlene Mitchell to spill on going from Trash to Drag Race finalist, reinventing herself after sobriety, and surviving early LA drag with CVS makeup and airbag-sized pads. Plus: Snatch Game chaos, Tumblr porn, cumin-flavored dick, and the shocking revelation that this “trailer trash” diva had a second home.Listen to Sloppy Seconds Ad-Free AND One Day Early on MOM Plus⁠Call us with your sex stories at 213-536-9180!Or e-mail us at ⁠sloppysecondspod@gmail.com⁠⁠FOLLOW SLOPPY SECONDS⁠⁠FOLLOW BIG DIPPER⁠⁠FOLLOW MEATBALL⁠⁠SLOPPY SECONDS IS A FOREVER DOG AND MOGULS OF MEDIA (M.O.M.) PODCASTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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

#999: Join Lauryn Bosstick for a solo episode on the unsexy habits, systems, and mindset shifts that keep you feeling your best, looking your best, and moving through life with more intention. In this episode, Lauryn breaks down the behind-the-scenes habits and systems that have the biggest impact on her life,  the unsexy habits that keep you feeling sexy! She shares the routines she relies on to feel grounded, energized, and confident, how she creates structure without letting her life feel overly rigid, and the systems she's built to manage a full schedule, protect her energy, and make everyday life run more efficiently. From beauty and wellness to mindset, family, productivity, and the environment around her, this episode is all about the small things that compound into feeling better, living better, and feeling your best.   For Detailed Show Notes visit TheBossticks.com   To connect with Lauryn Bosstick click HERE   Read More on The Skinny Confidential HERE   Head to our ShopMy page HERE and LTK page HERE to find all of the products mentioned in each episode.   This episode is sponsored by The90 Head to http://The90.com and use code BOSSTICKS for $50 off.   This episode is sponsored by Little Spoon Get 30% off your first online order at http://littlespoon.com/SKINNY30 with code SKINNY30.   This episode is sponsored by Branch Basics Just use code SKINNY for 15% off the Premium Starter Kit at http://BranchBasics.com.   This episode is sponsored by Opill You can find Opill at most major retailers, in-stores and online.   This episode is sponsored by Just Ingredients Visit https://justingredients.com/SKINNY and use code SKINNY at checkout for 20% off your first full-price purchase.    This episode is sponsored by The Absorption Company Go to http://absorbmore.com and enter BOSSTICKS at checkout for up to 35% off your first order.   This episode is sponsored by Vuori Get 20% off your first order at http://vuori.com/skinny.   This episode is sponsored by Neuro Gum For a limited time, you can get 20% off your first order at http://neurogum.com by using code SKINNY. You can also find Neuro at CVS, Walmart and Amazon Produced by Dear Media

Sam Faiers had already shut down two businesses. She'd laid off her entire team in one day when the fashion brand stopped turning a profit. So when she found a collagen formula every manufacturer told her couldn't be made, she put the money from the sale of her house into it anyway. Revive Collagen launched in August 2020, mid-lockdown, with no marketing budget, and hit £1 million in sales in 13 weeks. Six years later it's on track for £26 million, sits in 6,000 US retail doors including Ulta, Walgreens and CVS, and is the most awarded supplement brand in the UK - all bootstrapped. In this interview, Sam breaks down the mistakes from her failed businesses that she deliberately reversed the second time, why she spent five and a half years without an office, and what a Kim Kardashian post actually does for a business (it's not what you'd think). What you'll learn in this interview: • Why she sold her house to fund the launch - and how two failed businesses gave her the conviction to do it • The two-year R&D battle where every manufacturer said no - and why that formula is now nearly impossible to copy • How one raw, unpolished video about her own acne drove the entire first 13 weeks • Why they had no office for five and a half years - and the exact overhead mistake that killed her last brand • The cash flow discipline that changed everything: reviewing accounts weekly, not monthly • How they got a six-figure London bus campaign for around 20% of rate card • The ambassador playbook: why they gift product for months before ever signing a deal • What the Kim Kardashian post really did - and why the retailer meetings mattered more than the sales spike • Why she deliberately kept her face off the packaging to avoid being labelled a celebrity brand • How they build products around life stages instead of one supplement for everyone If you're bootstrapping a wellness or supplement brand, deciding whether to put your own face on your marketing, or coming back from a business that failed and trying to get it right this time, this conversation will fundamentally change how you think about product, trust, and building something bigger than your own name. SAVE 50% ON OMNISEND FOR 3 MONTHS Get 50% off your first 3 months of email and SMS marketing with Omnisend with the code FOUNDR50. Just head to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://your.omnisend.com/foundr⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to get started. WANT TO GROW YOUR BRAND WITH META ADS? Join the Foundr Operators Waitlist → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://foundr.com/operators⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ HOW WE CAN HELP YOU SCALE YOUR BUSINESS FASTER Learn directly from 7, 8 & 9-figure founders inside Foundr+ Start your $1 trial → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.foundr.com/startdollartrial⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ PREFER A CUSTOM ROADMAP AND 1-ON-1 COACHING? → Starting from scratch? Apply here → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://foundr.com/pages/coaching-start-application⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ → Already have a store? Apply here → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://foundr.com/pages/coaching-growth-application⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CONNECT WITH NATHAN CHAN Instagram → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/nathanchan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/nathanhchan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CONNECT WITH SAM FAIERS Instagram → ⁠⁠⁠⁠https://www.instagram.com/samanthafaiers/ Instagram → ⁠⁠https://www.instagram.com/revivecollagen/ Website → ⁠⁠https://revivecollagen.com/ FOLLOW FOUNDR FOR MORE BUSINESS GROWTH STRATEGIES YouTube → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bit.ly/2uyvzdt⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Website → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.foundr.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/foundr/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/foundr⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Twitter → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.twitter.com/foundr⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/foundr/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Podcast → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.foundr.com/podcast⁠

Lindsay Clancy's own attorney told the jury she killed her children. The prosecution agrees. Patrick Clancy's errand timeline has been verified by CVS surveillance, phone records, and the 911 call. Every conspiracy claim circulating on TikTok — the body temperature, the Apple Watch, the timeline gaps — has been addressed in testimony or doesn't survive contact with the evidence.The theories haven't slowed down. They've accelerated. And the people posting them aren't stupid. They cite timestamps, reference medical records, and build chains of logic that look like research.Psychotherapist Shavaun Scott, author of Nightbird, joins Tony Brueski to identify the specific psychological mechanism that fires when the brain encounters evidence it cannot accept. She explains why the conspiracy believers' process mimics critical thinking without being critical thinking. Why debunking a specific claim strengthens the surrounding belief structure. Why people with zero connection to the Clancy family describe real physiological distress — insomnia, trembling hands, sustained rage — that maps to a genuine threat response.This is Part 1 of a three-part conversation exploring the psychology of the culture war over Lindsay Clancy. Part 1 covers the malfunction. Part 2 covers the gender split. Part 3 covers what the obsession reveals about the audience.Tony Brueski and psychotherapist Shavaun Scott discuss the psychology of evidence rejection in the Lindsay Clancy trial.Listen Anywhere You Get Podcasts: https://pod.link/1655749292Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspod?sub_confirmation=1Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/tonybpodThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.#LindsayClancy #ShavaunScott #HiddenKillers #LindsayClancyTrial #PatrickClancy #TrueCrime #ConspiracyTheories #PostpartumPsychosis #PlymouthSuperiorCourt #TrueCrimePsychology

Tiama Hanson-Drury is CPTO at Opus 2, the legal technology company behind the systems that run some of the world's largest and most high-stakes litigation. She started her career in sales, moved into product in 2010 and has spent the last 16 years split roughly evenly between individual contributor and leadership roles. Her verdict on AI in product organisations is neither evangelism nor scepticism: the tooling has removed software as a bottleneck, but the markers of quality that mattered before AI have not changed, and teams that forget them end up shipping slop and burning out. In this episode, we discuss:Why a sales background is better preparation for product than an engineering one, and how to lead engineers without pretending to be an expertHow the promise of doing more with AI is producing overload and burnout, and what leaders owe their teams in responseWhy high AI adoption scores mean nothing if pull request sizes are ballooning and someone else has to review the outputThe three things Tiama looks for in her teams now: outcome focus over craft, curiosity, and a culture of sharing failure as readily as successWhy the right move is not to hand three of your seven steps to AI, but to start again from the outcome you wantHow Opus 2 went from shipping every six to 12 weeks to shipping daily, and why that made documentation and planning more important, not lessThe case for betting on humans in the loop when your customers explicitly prefer itWhy Opus 2 is still hiring juniors, and how to build commercial judgment when the groundwork can be skippedThe one situation where Tiama tells people to let AI write the first draft rather than the secondChapters(01:31) From sales to product(03:24) Why the move is less obvious than it sounds(04:34) Leading engineering without an engineering background(06:28) How outsider questions sharpen engineering teams(07:36) What AI has changed for a CPTO(08:16) Overload, burnout and the pressure to token max(10:32) Adoption scores versus quality signals(11:39) What AI adoption actually looks like inside law firms(12:42) Outcomes over output(14:07) How Opus 2 built its AI strategy(16:07) Removing friction from an AI rollout(16:53) Partnering with AI instead of splitting up the steps(18:08) A message from Mike Belsito(19:40) Three things AI asks of a team(21:47) More agency, and why planning matters more(23:51) Scaling a team on conflicting evidence(26:09) Betting on humans in the loop(27:36) Why Opus 2 keeps hiring juniors(29:44) Building judgment when the work moves faster(32:36) Sharing your own AI operating system(33:22) AI slop, CVs and the hiring algorithm(36:17) Top tips for a product career in the age of AI(38:36) Wrap-upReferencedOpus 2: https://www.opus2.comOpus 2 announces addition of Tiama Hanson-Drury as chief product and technology officer: https://www.opus2.com/news/opus-2-announces-cpto-tiama-hanson-drury/Minna Technologies, where Tiama was previously chief product officer: https://minnatechnologies.comDX, the developer intelligence platform used to track squad performance: https://getdx.comDORA metrics: https://dora.devVote for Mike Belsito's South by Southwest 2027 session: https://tinyurl.com/belsitosxswWhere to find Tiama Hanson-DruryLinkedIn: https://www.linkedin.com/in/tiamahansondruryOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

A fake consultancy fronts an alleged Chinese spy campaign. Meta heads to court over claims it hooked young users. Researchers crack the mystery behind the French EncroChat hack. CISA warns ransomware gangs are exploiting a Windows flaw. Meet C2Looper, a new Rust-based backdoor. A critical WordPress plugin bug threatens hundreds of thousands of sites. MessiahGPT brings generative AI to cybercrime. A lender discloses a breach affecting 1.2 million people. A Ukrainian developer stands trial in Switzerland over alleged ransomware ties. Our guest is Ev Kontsevoy, CEO at Teleport, discussing how AI agents have nondeterministic behavior. The psychology of the endless scroll.  Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest On today's Industry Voices, we are joined by Ev Kontsevoy, CEO at Teleport, discussing how AI agents have nondeterministic behavior. If you enjoyed this conversation, check out the full interview here. Selected Reading A fake website and a deluge of CVs: the Australian firm embroiled in an FBI probe into alleged Chinese espionage (The Guardian) States Seek $200 Billion From Meta Over Child Social Media Addiction Claims (The New York Times) Revealed: Cyber spies used malware from GitHub to hack EncroChat cryptophone network (Computer Weekly) CISA: Windows Task Host flaw now exploited by ransomware gangs (Bleeping Computer) C2Looper Backdoor Uses GitHub for C2 (ThreatLabz) 300,000 WordPress Sites Potentially Exposed to Hacking Due to Form Plugin Flaw (SecurityWeek) MessiahGPT Criminal AI Service Advertised on BreachForums (HackRead) Heights Finance Data Breach Impacts at Least 1.2 Million Individuals (SecurityWeek) Ukrainian software developer faces 12 years in Swiss ransomware trial (The Record from Recorded Future News) Why Can't We Stop Scrolling? (Psychology Today) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc.

RSVP and Join us for the Dear FoundHer... Virtual Open House and Networking event on August 20th! Bootstrapping a beauty brand to eight figures before bringing on outside investors sounds impossible until you hear the two financial tools that made it work.Elina Wang, co-founder and CEO of ESW Beauty, joins Lindsay Pinchuk on Dear FoundHer to break down exactly how she built a skincare brand now sold in more than 19,000 retail locations across North America, including Target, Walgreens, Whole Foods, and CVS. Factoring and PO financing kept her cash moving while retailers paid on their own terms, and those two tools became the real financial turning points behind the brand.Elina shares the bad hires that slowed her down, the late shipments from overseas suppliers that forced her to rethink timelines, and the moment she overbought inventory out of fear and what that did to her cash flow.Elina shares her decision-making behind scaling a business while bootstrapping the business, including why she waited years before spending on D2C marketing and what made Whole Foods her first true anchor retailer. Managing rapid growth meant learning these lessons in real time, not reading about them first.Press play to hear Elina's three actionable tips for any founder trying to grow without a safety net.Episode Breakdown:00:00 Elina Wang's K-Beauty Family Business Roots03:47 Launching ESW Beauty From Scratch05:13 Landing Kohl's and Her First Retail Win06:58 Building Community Before Chasing Sales09:53 Finding the White Space in Skincare14:19 Target, Whole Foods, and Anchor Retailers16:14 Bootstrapping With Factoring and PO Financing19:36 Bad Hires, Late Shipments, and Cash Flow20:39 Turning Personal Brand Into Business Growth29:34 Three Tips for Founders Starting OutConnect with Elina Wang:Follow Elina on InstagramFollow ESW Beauty on InstagramSubscribe to The FoundHer Files Follow Dear FoundHer on Instagram Podcast production and show notes provided by HiveCast.fm Hosted on Acast. See acast.com/privacy for more information.

In this episode, Rita Cosby breaks down Florida's ultimate democratic socialist test. We dive into the shocking, newly uncovered audio of Michigan candidate Abdul El-Sayed's activist sister praising October 7th, and slam Brooklyn Assemblywoman Emily Gallagher for defending shoplifters stealing from CVS and Walgreens.

Catherine Hayden, Chief Marketing Officer of Kate Farms, on why health nutrition is not a niche category. Six in ten Americans live with a chronic health condition. Catherine explains what that means for how Kate Farms markets, and what changes as the brand expands into 6,800 doors across Walmart and CVS. In this conversation: The "Here for the Champions" brand campaign and the insight behind it Why a new high protein shake flavor took 800 variations to get right Staying authentic while scaling into mass retail Where AI helps, and why the origin and the idea stay with the brand Using an AI chatbot for faster issue resolution, and aggregating reviews, social, and post purchase surveys to surface friction points weekly Chapters00:00Introduction and What Is New at Kate Farms01:03The Here for the Champions Campaign01:54Fireside Chat Preview02:36How Kate Farms Uses AI04:15Building Awareness and Closing Thoughts Catherine Hayden: LinkedIn Kate Farms: katefarms.com Recorded live at eTail Boston, August 10 through 12, 2026. To learn more about our at-event interviews, go to talk-commerce.com/events

Full show notes: https://bengreenfieldlife.com/dylan In this episode with Dylan Gemelli, you'll hear one of the wildest origin stories in the health world. Dylan went from college athlete to Milan model to cocaine dealer to a 15-year prison sentence, and came out on the Fourth of July with two felonies, no job prospects, and a decision to start over. Within a year he had a million YouTube subscribers explaining compounds almost nobody was talking about yet, and today he hosts the number one health and fitness podcast in the country. You'll also get the practical side: what SARMs really are and why he turned against steroids, what happened when a routine calcium score came back at 120 with an Lp(a) of 330, how he pushed back against the Mayo Clinic and got that number down into the 90s anyway, and what he learned about ejection fraction and chronic cardio the hard way. Dylan explains why he believes many biohackers are among the unhealthiest people out there, how stacking too many supplements and peptides creates redundancy that backfires, and which lesser-known peptides will rise in popularity. Episode Sponsors: LMNT: Everyone needs electrolytes, especially those on low-carb diets, who fast, are physically active, or sweat a lot. Go to DrinkLMNT.com/BenGreenfield to get a free sample pack with your purchase. Dr. Murray Natural Products – ThymoQuin®: A clinically researched black seed oil that supports healthy cortisol levels, resilience to everyday stress, and overall well-being, and the only one that meets U.S. Pharmacopeia guidelines. Visit doctormurray.com/ben and use code BEN25 for 25% off all Dr. Murray Natural Products. Manukora: You haven't tasted honey like this before, so try some honey with superpowers from Manukora. Head to manukora.com/ben or use code BEN to get $25 off your Starter Kit. Quantum Upgrade: Research shows the Quantum Upgrade increased ATP production in human cells by 20 to 25%. Unlock a 15-day free trial with code BEN15 at quantumupgrade.io. Active Skin Repair: Uses hypochlorous acid, a molecule your body naturally produces, to support skin repair and defense without harsh chemicals. Go to ActiveSkinRepair.com and use code BEN for 20% off, or find it on Amazon and at your local CVS.See omnystudio.com/listener for privacy information.

The Plymouth County District Attorney charged one person in the deaths of the three Clancy children. State Police investigated and landed on that same name. It wasn't Patrick Clancy. So why does a growing slice of the internet keep insisting otherwise? Tony Brueski runs the theory down. The claims circulating on Instagram and TikTok form a full list: Patrick drugged his wife for months, he held the restraints, he staged the bedroom window, the locked door was his doing, and his 2026 remarriage is proof he had a motive all along. Tony checks each one against actual courtroom testimony — NMS Laboratories toxicologist Justin Brower's findings on four medications in Lindsay Clancy's blood, the direction an interior bedroom lock actually turns, and a fingerprint claim that turns out to misread what a state trooper said on the stand. Retired FBI behavioral analyst Robin Dreeke joins to explain why online crowds gravitate toward the husband as a suspect almost by reflex, no matter what the paper trail shows, and what it would genuinely take to change that. His answer isn't the easy one. Patrick's alibi is backed by CVS surveillance and phone records down to the minute. The remarriage detail came out in open court — Lindsay's own attorney disclosed it and told the judge Patrick had lived through one of the worst tragedies a person can survive. Three providers who treated Lindsay have since testified, and civil filings name all three as defendants in the case some are calling a cover story. Hear the full breakdown and decide where the evidence actually points. Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/ Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1 Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/TrueCrimePod This publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice. #LindsayClancy #PatrickClancy #HiddenKillers #LindsayClancyTrial #TrueCrime #Duxbury #RobinDreeke #TrialWatch #PostpartumPsychosis #ConspiracyTheories 

Lindsay Clancy's own defense attorney stood up in Plymouth Superior Court and said something about Patrick Clancy's remarriage that cuts directly against the theory that he's secretly guilty. Tony Brueski breaks down what actually got said, and why it matters. The backdrop: online accounts pulling hundreds of thousands of views are working through a full list of claims against Patrick — that he drugged his wife for months, that he held the restraints, that he staged the bedroom window, that the locked door was his doing, and that the remarriage itself is proof of motive. Tony takes the list item by item against courtroom testimony, including NMS Laboratories toxicologist Justin Brower's account of four medications found in Lindsay's blood and the direction an interior bedroom lock actually operates. Retired FBI behavioral analyst Robin Dreeke joins to unpack why an internet crowd defaults to suspecting the husband almost on instinct, regardless of what the paper trail shows, and what would genuinely change their minds. His answer is more interesting than a simple 'nothing ever will.' Patrick's timeline is backed by CVS surveillance footage and phone records. The Plymouth County District Attorney has charged one person. State Police investigated and arrived at the same name. Nobody with subpoena power has pointed at Patrick. Three of the providers who treated Lindsay have now testified, and civil filings name all three as defendants — the same lawsuit some corners of the internet are calling a cover story. This episode pulls both threads together: the behavioral science of why the theory took hold, and the specific claims driving it, checked line by line against what witnesses actually said under oath. Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/ Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1 Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/TrueCrimePod This publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice. #LindsayClancy #PatrickClancy #HiddenKillers #LindsayClancyTrial #TrueCrime #Duxbury #RobinDreeke #TrialWatch #PostpartumPsychosis #ConspiracyTheories 

Patrick Clancy has a timeline verified by CVS surveillance and phone records. His wife's own attorney told a jury she killed their three children. And a growing internet mob is convinced he's the real killer anyway. Tony Brueski asks retired FBI behavioral analyst Robin Dreeke a direct question: is there any evidence that would actually satisfy this crowd? Robin ran the FBI's Counterintelligence Behavioral Analysis Program, and he walks through what's driving the instinct to suspect the husband — the alibi read through a trained investigator's eyes, the way people interpret Patrick's composure on the stand as guilt, and the remarriage three years later that some have turned into a motive. Then the episode gets specific. NMS Laboratories toxicologist Justin Brower testified to four medications found in Lindsay Clancy's blood. A state trooper's testimony about fingerprints has been misread into a claim it never supported. The interior bedroom lock at the center of one theory only turns one direction. And there's the anniversary phone call — two years old, sitting in plain sight — where Patrick asked his wife the exact question people assume he's avoided. The remarriage detail didn't leak from a tabloid. Lindsay's own attorney raised it in Plymouth Superior Court and told the judge Patrick had endured one of the worst tragedies a person can survive and was trying to move forward. Nobody with the authority to subpoena a phone record has ever pointed at him. Robin's answer to what it would take for the online crowd to finally drop the theory is the one worth sticking around for — and it might not be what you'd guess. Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/ Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1 Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/TrueCrimePod This publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice. #LindsayClancy #PatrickClancy #HiddenKillers #LindsayClancyTrial #TrueCrime #Duxbury #RobinDreeke #TrialWatch #PostpartumPsychosis #ConspiracyTheories 

Did Patrick Clancy kill his children? No. And the Lindsay Clancy trial record says so, including in her own defense attorney's opening statement.Millions of people on TikTok and Instagram have convinced themselves that Patrick Clancy strangled Cora, Dawson, and Callan Clancy in Duxbury, Massachusetts, and framed his wife for it. This episode goes through that theory claim by claim against the actual trial evidence: the surveillance footage, the CVS and ThreeV timeline, the 911 call, the medical records, and the sworn testimony.Robin covers what Kevin Reddington really said in his opening statement, the "he changed his shoes" theory, what the twelve unaccounted minutes before CVS do and do not prove, who actually sent Patrick out for the takeout order that night, and why Patrick Clancy's remarriage happened three years and three months after the killings, not three months.She also covers the part almost nobody is clipping: Lindsay Clancy's MyChart messages to her psychiatric nurse practitioner in the weeks before her children died, and what happened when she reported intrusive thoughts she had never had before.Facts, filings, and transcripts. No conspiracy theories.Questions discussed in this episode:Did Patrick Clancy kill his children?Did Lindsay Clancy's lawyer admit she killed her kids?Did Patrick Clancy change his shoes between CVS and ThreeV?What are the twelve missing minutes in the Patrick Clancy timeline?Did Patrick Clancy send an email from home at 5:24?When did Patrick Clancy remarry, and who is Rachel Danis?Is Kevin Reddington secretly building a case against Patrick Clancy?Why did a judge say "this is not Tripadvisor" during the Lindsay Clancy trial?Become a supporter of this podcast: https://www.spreaker.com/podcast/we-saw-the-devil-unfiltered-political-analysis--4433638/support.Website: http://www.wesawthedevil.comPatreon: http://www.patreon.com/wesawthedevilRobin's Instagram: http://www.instagram.com/robin_wstdTwitter: http://www.twitter.com/WeSawtheDevilInstagram: http://www.instagram.com/wesawthedevilpodcast.TikTok: tiktok.com/@wesawthedevilpolitics

Text messages from Lindsay Clancy's phone were read to the jury at Plymouth Superior Court on Day 13 of her murder trial. On the morning of January 24, 2023, she sent Patrick a snowman photo at 8:19 a.m. He responded: "You're a good mama." She asked about takeout from a restaurant. That afternoon — Miralax, CVS, Callan's nap schedule, Pedialax. Parenting logistics until the final hours.The prosecution led the day's digital forensics testimony with one Google search from January 20: "Can you treat a sociopath?" Kevin Reddington spent his cross reading the rest of the browser history aloud. Searches spanning December 29 through January 23 covered every psychiatric medication Lindsay had been prescribed and symptoms including schizophrenia, psychosis, intrusive thoughts, and hallucinations.Messages between Lindsay and her mother showed a slow-motion check-in across January. Anxious about meeting the psychiatry team on January 3. Feeling a little better on January 10. Starting a new medication on January 18. On January 14: "Hanging in there, waiting for the day I feel like me."A forensic examiner testified that a second trooper had performed a separate extraction of the phone's data using a different method, and the two results didn't match. The case officer's walkthrough video showed blood pooled on the bedroom floor and a chef's knife on the nightstand. A medical examiner told the case officer that strangulation takes several additional minutes after loss of consciousness to cause death. Lindsay Clancy has pleaded not guilty and argues postpartum psychosis made her unable to appreciate the wrongfulness of her actions. Prosecutors allege deliberate planning.Listen Anywhere You Get Podcasts: https://pod.link/1655749292Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/@UC8-vxmbhTxxG10sO1izODJgJoin Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Instagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/tonybpodThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.#LindsayClancy #LindsayClancyTrial #PlymouthSuperiorCourt #DuxburyMassachusetts #TrueCrime #TrueCrimePodcast #HiddenKillers #CriminalTrial #PostpartumPsychosis #CourtRoom

We were rocking and rolling from the get-go this week with very special guest comedian Blair Socci and a cavalcade of rock news including a look at aging rocker incubus producer Andrew Watt's drip, an update on our CVS sponsorship deal and lots of YOU on zoom and the hotline with bone picks, tall tales and more. Support Office Hours, watch or listen to another hour of today's episode including Jefferson Starship's latest, some Jerry Lewis goofs, and much more with OFFICE HOURS+. Try it FREE for seven days at patreon.com/officehoursliveCheck out Blair's podcast "Spaced Out" at youtube.com/@blairsocciofficialGet tickets to see On Cinema LIVE on the "Certified Five Bags of Popcorn Tour" this November at heinetwork.tv/eventsShop our merch store at officehours.merchtable.com and find the rest of our links at linktr.ee/officehoursliveSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Full live session with Tony Brueski and retired FBI behavioral analyst Robin Dreeke, covering the two stories dominating the mailbag. First, the Nancy Guthrie ransom notes. Then the Lindsay Clancy trial, including the conspiracy theory that refuses to release Patrick Clancy.Everything is on the table live. Whether the Guthrie family should accept a letter claiming their mother is buried in nature, from a writer who walked away from $4 million and wished her children peace. Whether a sheriff who denied having that note one day before releasing it still has the room's trust. Whether Lindsay Clancy's prosecution is quietly helping her defense, one loving-mother witness at a time. And whether any amount of CVS footage and phone records will ever satisfy the crowd convinced Patrick did it.The chat drives all of it. Every question tonight was built to split the room, Robin has a professional read on each one, and the disagreements are the show. Show up with an opinion — or lose one.Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/ Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1 Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/TrueCrimePodThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.#LindsayClancy #NancyGuthrie #HiddenKillersLive #TrueCrime #TrueCrimePodcast #SavannahGuthrie #PatrickClancy #RansomNote #TrialWatch #CrimeNews

For most of his 20+ career, Josh White watched supply chain get treated like every other retailer treats it: a cost to be minimized. But as Chief Supply Chain and Logistics Officer at CVS, he's spent his tenure rewriting that narrative: repositioning supply chain as a growth enabler that his Chief Merchandising Officer now calls “his supply chain.” This week, Josh tells Zero100's Co-Founder and Chief Research Officer Kevin O'Marah how he pulled off both transformations at once. The growth piece required automation that punches above its weight, AI-powered demand sensing, and flexible systems built for future capabilities. But winning over merchandising required something harder: a shift from “that plan will break our network” to “here's what it would take to make that possible.”

Behind every athlete is a story of perseverance—and often those who help make it possible. When Wendy Stacken's son, Nick, was born, doctors warned he would face significant health challenges and an uncertain future. Today, at 31, Nick's lifelong participation in Special Olympics reflects determination, commitment, and optimism—as Special Olympics athletes compete throughout the summer. His journey shows the impact of dedicated care and strong family support. Tune in for Wendy Stacken and Lucille Accetta of CVS Health to discuss caregiving, resilience, and helping individuals with complex medical conditions thrive. Moments with Marianne airs in the Southern California area on KMET 1490AM & 98.1 FM, an ABC Talk News Radio Affiliate!  https://www.kmet1490am.comLearn more about CVS Health at: www.cvshealth.comDiscover inspiring conversations with today's leading authors, celebrities, thought leaders, and change makers. To learn more about the Moments with Marianne Radio Show, explore guest interview opportunities, connect with Marianne, and follow her on social media, visit https://www.mariannepestana.comExplore the Moments with Marianne Book Club and find your next great read: https://www.mariannepestana.com/book-club/Listen to the Moments with Marianne Radio Show on KMET 1490AM & 98.1FM, an ABC News Radio Affiliate, weekdays at 8:06 AM PT / 11:06 AM ET and Sundays at 10:06 AM PT / 1:06 PM ET. Learn more at: https://www.kmet1490am.com/moments-with-marianne

We're back and somehow Deric survived driving through the absolute chaos of Midtown Manhattan without getting a single New York honk. While Deric was out dodging rats and locked-up CVS candy bars, Eric managed to accidentally launch a full-scale manufacturing facility in his closet. His new Glue Dock went so incredibly viral that he had to nearly buy out the local Best Buy's stock of 3D printers just to keep his head above water.We also dive into the drama surrounding the upcoming Kreg Domino clone—is it actually a Festool killer, or just a track saw situation all over again? Plus, we touch on why all of our hobbies are brutally expensive. Is Mattress Firm a money-laundering front? How to quiet down a 3D print farm before the vibrations drive you insane. Grab a drink, pull up a stool, and let's get after it.Got questions? Email us at offthecutpodcast@gmail.comJoin the Aftershow: https://www.patreon.com/offthecutpodcastWatch Live: https://www.youtube.com/channel/UCcRJPIp6OaffQtvCZ2AtWWQMerch: https://www.spencleydesignco.comStart a Podcast: https://streamyard.com/pal/c/5926541443858432Follow the Hosts:Zac: @ZacBuildsEric: @SpencleyDesignCoDeric: @PecanTreeDesignProudly Sponsored By: KM Tools (kmtools.com/SPENCLEYDESIGNCO)WTB Woodworking (wtbwoodworking.com/giveaway)Gorilla Glue (http://gorillatough.com/offthecut) #Woodworking #DIY #3DPrinting #Maker #ContentCreation #OffTheCutPodcast #Sponsored #KMTools #WTBWoodworking #GorillaTough

Patrick's friend from college testifiesA detective who got video from CVS and takeout testifies about getting the videos, her DNA, and a FB post of Lindsay's from when Dawson was a toddlerBecome a supporter of this podcast: https://www.spreaker.com/podcast/pretty-lies-and-alibis--4447192/support.ALL MERCH 10% off with code Sherlock10 at checkout  - NEW STYLES Donate: (Thank you for your support! Couldn't do what I love without all y'all) PayPal - paypal.com/paypalme/prettyliesandalibisVenmo - @prettyliesalibisBuy Me A Coffee - https://www.buymeacoffee.com/prettyliesrCash App- PrettyliesandalibisAll links: https://linktr.ee/prettyliesandalibisMerch: prettyliesandalibis.myshopify.comPatreon: https://www.patreon.com/PrettyLiesAndAlibis(Weekly lives and private message board)

The latest jobs report for July is out. The economy lost 23,000 jobs last month, but analysts were expecting more than 80,000 jobs to be created. This morning, we have some context behind the headline numbers. Plus, we got dozens of financial results this week. Some of the big names were Uber, Palantir, McDonald's, Disney, and CVS. What stood out? And later, Meta was fined $567 million over social media's harm to kids.Every story has an economic angle. Want some in your inbox? Subscribe to our daily or weekly newsletter.Marketplace Morning Report is more than a radio show. Check out our original reporting and financial literacy content at marketplace.org — and consider making an investment in our future.

The latest jobs report for July is out. The economy lost 23,000 jobs last month, but analysts were expecting more than 80,000 jobs to be created. This morning, we have some context behind the headline numbers. Plus, we got dozens of financial results this week. Some of the big names were Uber, Palantir, McDonald's, Disney, and CVS. What stood out? And later, Meta was fined $567 million over social media's harm to kids.Every story has an economic angle. Want some in your inbox? Subscribe to our daily or weekly newsletter.Marketplace Morning Report is more than a radio show. Check out our original reporting and financial literacy content at marketplace.org — and consider making an investment in our future.

Two witnesses, two completely different pictures of Lindsay Clancy — that's what jurors got in Plymouth Superior Court this week in the trial of the Duxbury, Massachusetts mother accused of strangling her three children, 5-year-old Cora, 3-year-old Dawson, and 7-month-old Callan, with exercise resistance bands inside the family's Summer Street home on January 24, 2023. Clancy is facing three counts of murder and three counts of strangulation. She's pleaded not guilty, with defense attorney Kevin Reddington arguing she was gripped by severe postpartum psychosis and psychiatric overmedication when it happened.Kyle Carney, a friend of Patrick Clancy's, opened the day describing January 24 as ordinary — a good day, nothing that hinted at what was coming. Then Massachusetts State Police Trooper Andrew Chiachio took over, and the testimony got a lot more procedural and a lot more pointed. He walked the jury through pulling surveillance video from a CVS and Three V Restaurant near the scene, then described a search warrant executed six months after the killings to collect possible DNA evidence from outside the house. A second warrant went after Facebook, where investigators found a May 2021 post from a parenting support group in which Clancy wrote that every day with Dawson felt like a fight. Reddington, on cross, got Chiachio to concede that despite the digging, investigators never found any evidence Clancy had actually abused her son. Jurors were dismissed once both witnesses finished.Prosecutors are expected to argue Clancy knew exactly what she was doing that day, mental-health defense or not. She allegedly attempted suicide afterward by jumping from a second-story window and remains paralyzed from the waist down. Her husband, Patrick, was running errands at the time and has since relocated to Manhattan. The trial continues for several more weeks.Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1Instagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/TrueCrimePodDisclaimerThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health, or legal advice.Hashtags #LindsayClancy #DuxburyTragedy #PostpartumPsychosis #TrueCrime #PlymouthCounty #CoraDawsonCallan #InsanityDefense #KevinReddington #TrueCrimeToday #Breaking

Lindsay Clancy, the 34-year-old Duxbury, Massachusetts mother accused of strangling her three children — 5-year-old Cora, 3-year-old Dawson, and 7-month-old Callan — with exercise resistance bands inside the family's Summer Street home on January 24, 2023, was back in Plymouth Superior Court as jurors heard from two very different witnesses. Clancy faces three counts of murder and three counts of strangulation. She's pleaded not guilty, and attorney Kevin Reddington is mounting an insanity defense built on severe postpartum psychosis and psychiatric overmedication.First up: Kyle Carney, a friend of Patrick Clancy's, who testified that the day of the killings looked like nothing at all — normal, unremarkable, a good day. No warning signs. Then Massachusetts State Police Trooper Andrew Chiachio took the stand and the mood in the room changed. He detailed pulling surveillance footage from a nearby CVS and Three V Restaurant, and revealed that six months after the incident, investigators got a warrant to swab the outside of the Clancy home for possible DNA. A second warrant targeted Facebook, surfacing a May 2021 post from a parenting support group where Clancy described every day with Dawson as a battle. But on cross, Reddington got Chiachio to admit something that cuts the other way — no evidence Clancy was ever abusive toward her son turned up anywhere. The jury was dismissed after the two testified.Prosecutors are expected to argue Clancy understood what she was doing despite the defense's mental-health claims. After the killings, Clancy allegedly attempted suicide by jumping from a second-story window and is now paralyzed from the waist down. Her husband, Patrick, was out running errands at the time and has since relocated to Manhattan. The trial is expected to run several more weeks.Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1Instagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/TrueCrimePodDisclaimerThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health, or legal advice.Hashtags #LindsayClancy #DuxburyTragedy #PostpartumPsychosis #TrueCrime #PlymouthCounty #CoraDawsonCallan #InsanityDefense #KevinReddington #HiddenKillers #Breaking

Andrew, Ben, and Tom discuss SpaceX falling 11% despite laying out an ambitious AI and Starlink roadmap including Grok 5 trained on internal SpaceX data by year-end, 1.4GW of current compute growing toward 10GW by end of 2027, deploying NVL72-designed data centers on the ground rather than in space, boots on the moon by 2028, and the goal of scaling launch cadence to one per day in 2027, SpaceX's decision to go exclusively with Nvidia sending AMD down 9% despite good results and CPU acceleration while Arista Networks jumped 14% on accelerating networking demand tied to Nvidia, CVS raising guidance and re-adding Zepbound to its formulary while publicly backing Eli Lilly with expanded GLP-1 support, Lilly beating on stronger-than-expected GLP-1 pricing, Disney rising 4% on parks strength and a TikTok short-form video partnership, Uber slipping despite record first-time user additions, and the JOLTS report showing softer job openings but likely not a signal Warsh will weigh.Join our live YouTube stream Monday through Friday at 8:30 AM EST:http://www.youtube.com/@TheMorningMarketBriefingPlease see disclosures:https://www.narwhal.com/disclosure

Diana Elder and Nicole Dyer explore the value of writing an ancestor's military story by correlating multiple sources. Diana uses her father Bob Shults's World War II Navy records as a case study. She demonstrates how to use AI to cross-reference personal oral histories with official documents like muster rolls and discharge papers. Listeners learn how to build a comprehensive timeline that bridges the gap between limited personal recollections and formal military service records. The discussion highlights the use of the FamilySearch Simple Search tool to locate unindexed muster rolls that reveal specific locations and dates of service. Diana shows how she organizes this research in Airtable to track her father's path through training in Tennessee, Oklahoma, and Florida, and his eventual deployment on the USS Antietam in the Western Pacific. By integrating this specific documentation with historical context about training bases and ship operations, researchers can effectively flesh out an ancestor's service experience and uncover new avenues for future investigation. This summary was generated by Google Gemini. Links A Navy Life: The World War II Service of Bobby Gene Shults - https://familylocket.com/a-navy-life-the-world-war-ii-service-of-bobby-gene-shults/ "Formal Naval Air Station Memphis," NAVFAC  - https://www.bracpmo.navy.mil/BRAC-Bases/Southeast/Former-Naval-Air-Station-Memphis/ Technical Training, Naval Aviation News, November 15, 1944; imaged, Oklahoma Naval Air History - https://www.oklahomanavalairhistory.com/techarticle01.php Lelan Kent, "Yellow Water N.A.G.S. & Weapons Storage," Abandoned Southeast - https://abandonedsoutheast.com/2023/10/11/yellow-water-n-a-g-s-weapons-storage/ Andrew Bucholtz, "San Diego in WWII, Part IV: Home Base of the Pacific," posted 11 October 2023, SDHist - https://sdhist.com/home-base-pacific-san-diego-wwii-iv/ CV 36/CVA 36 / CVS 36 – USS Antietam, Seaforces-online - https://www.seaforces.org/usnships/cv/CV-36-USS-Antietam.htm Sponsor – Newspapers.com For listeners of this podcast, Newspapers.com is offering new subscribers 20% off a Publisher Extra subscription so you can start exploring today. Just use the code "FamilyLocket" at checkout.   Research Like a Pro Resources Airtable Universe - Nicole's Airtable Templates - https://www.airtable.com/universe/creator/usrsBSDhwHyLNnP4O/nicole-dyer Airtable Research Logs Quick Reference - by Nicole Dyer - https://familylocket.com/product-tag/airtable/ Research Like a Pro: A Genealogist's Guide book by Diana Elder with Nicole Dyer on Amazon.com - https://amzn.to/2x0ku3d Research Like a Pro with AI Workbook – Second Edition (eBook) - https://familylocket.com/product/research-like-a-pro-with-ai-workbook-second-edition-ebook/ 14-Day Research Like a Pro Challenge Workbook - digital - https://familylocket.com/product/14-day-research-like-a-pro-challenge-workbook-digital-only/ and spiral bound - https://familylocket.com/product/14-day-research-like-a-pro-challenge-workbook-spiral-bound/ Research Like a Pro Webinar Series - monthly case study webinars including documentary evidence and many with DNA evidence - https://familylocket.com/product-category/webinars/ Research Like a Pro eCourse - independent study course -  https://familylocket.com/product/research-like-a-pro-e-course/ RLP Study Group - upcoming group and email notification list - https://familylocket.com/services/research-like-a-pro-study-group/ Research Like a Pro Institute Courses - https://familylocket.com/product-category/institute-course/ Research Like a Pro with DNA Resources Research Like a Pro with DNA: A Genealogist's Guide to Finding and Confirming Ancestors with DNA Evidence book by Diana Elder, Nicole Dyer, and Robin Wirthlin - https://amzn.to/3gn0hKx Research Like a Pro with DNA eCourse - independent study course -  https://familylocket.com/product/research-like-a-pro-with-dna-ecourse/ RLP with DNA Study Group - upcoming group and email notification list - https://familylocket.com/services/research-like-a-pro-with-dna-study-group/ Thank you Thanks for listening! We hope that you will share your thoughts about our podcast and help us out by doing the following: Write a review on iTunes or Apple Podcasts. If you leave a review, we will read it on the podcast and answer any questions that you bring up in your review. Thank you! Leave a comment in the comment or question in the comment section below. Share the episode on Twitter, Facebook, or Pinterest. Subscribe on iTunes or your favorite podcast app. Sign up for our newsletter to receive notifications of new episodes - https://familylocket.com/sign-up/ Check out this list of genealogy podcasts from Feedspot: Best Genealogy Podcasts - https://blog.feedspot.com/genealogy_podcasts/

#993: Join us as we sit down with Clara Sieg – co-founder and CEO of Loonen, a company rethinking the most foundational thing we consume: water. The idea for Loonen took shape during her IVF journey and pregnancy, when she started paying closer attention to what was actually in her water and realized how hard it was to find water she truly trusted for her family. That personal search became a mission: to make clean, trustworthy water the most dependable thing we drink. In this episode, Clara exposes the biggest misconceptions surrounding bottled water, breaks down what's really happening behind water supply chains, reveals the hidden health risks of plastic bottles and endocrine disruptors, and shares practical advice on water filtration and healthier alternatives for daily consumption.   For Detailed Show Notes visit TheBossticks.com   To connect with Clara Sieg click HERE   To connect with Loonen click HERE   To connect with Lauryn Bosstick click HERE   To connect with Michael Bosstick click HERE   Read More on The Skinny Confidential HERE   Head to our ShopMy page HERE and LTK page HERE to find all of the products mentioned in each episode.   To learn more about Loonen visit https://loonen.com.    This episode is sponsored by The90 Head to http://The90.com and use code BOSSTICKS for $50 off.   This episode is sponsored by Just Thrive Go to https://get.justthrivehealth.com/pages/skinny and start your gut health journey today.   This episode is sponsored by Paleovalley Head to http://paleovalley.com/skinny, or use code skinny at checkout for 20% off your first purchase.   This episode is sponsored by Caldera + Lab Go to http://calderalab.com/SKINNY and use code SKINNY for 20% off your first order.   This episode is sponsored by Wayfair Ready to upgrade your home for way less? Head to http://Wayfair.com right now to shop all things home and get your space ready for less.    This episode is sponsored by The Absorption Company Go to http://absorbmore.com and enter BOSSTICKS at checkout for up to 35% off your first order.   This episode is sponsored by ThirdLove Use code BOSSTICKS15 for $15 off your first purchase at http://thirdlove.com.   This episode is sponsored by Neuro Gum For a limited time, you can get 20% off your first order at http://neurogum.com by using code: SKINNY. You can also find Neuro at CVS, Walmart and Amazon Produced by Dear Media

Volume 98 of Brad & Mira For the Culture...Mira moves into her new apartment...the movers stole her underwear?...she's now in debt to Erehwon...invites Brad to 4DX screening of The Odyssey...Brad's wife and daughter have Covid...he takes a trip to a dystopian CVS...despite all his rage, Angry Adam is still just a rat in a cage...Suri Cruise drops the 'Cruise'...Hollywood's hottest new trend: A-List women dating private equity fiance bros...Tennessee Geoff's delusions of grandeur...Rachel Cusk is going to publish a novel about Natalie Portman...Andrew Tate writes tender, ethereal poetry in his maximum security man cell...& more... *** Today's episode is brought to you by Rula. Thousands of people are already using Rula to get affordable, high-quality therapy that's actually covered by insurance. Visit ⁠⁠⁠⁠⁠⁠⁠⁠www.rula.com/otherppl⁠⁠⁠⁠⁠⁠⁠⁠ to get started. *** ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Otherppl with Brad Listi⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ is a weekly podcast featuring in-depth interviews with today's leading writers. Available where podcasts are available: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, etc. Get ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠How to Write a Novel,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ the debut audio course from DeepDive. 50+ hours of never-before-heard insight, inspiration, and instruction from dozens of today's most celebrated contemporary authors. Subscribe to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Brad's email newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Support the show on Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Merch⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Email the show: letters [at] otherppl [dot] com The podcast is a ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠proud affiliate partner of Bookshop⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, working to support local, independent bookstores. Learn more about your ad choices. Visit megaphone.fm/adchoices

Back on the stand is Patrick Clancy, Lindsay's ex husband- he talks about running the errands and coming home to find the house quiet. He goes through finding blood in the bedroom, the open window, finding Lindsay outside, and then finding his children in the basement. They called witnesses out of order - a CVS employee & an employee of the restaurant they got takeout from.Become a supporter of this podcast: https://www.spreaker.com/podcast/pretty-lies-and-alibis--4447192/support.ALL MERCH 10% off with code Sherlock10 at checkout  - NEW STYLES Donate: (Thank you for your support! Couldn't do what I love without all y'all) PayPal - paypal.com/paypalme/prettyliesandalibisVenmo - @prettyliesalibisBuy Me A Coffee - https://www.buymeacoffee.com/prettyliesrCash App- PrettyliesandalibisAll links: https://linktr.ee/prettyliesandalibisMerch: prettyliesandalibis.myshopify.comPatreon: https://www.patreon.com/PrettyLiesAndAlibis(Weekly lives and private message board)