Podcasts about Gallup

Walter Sterling hosts a hilarious therapy session on The Other Side of Midnight, diving headfirst into your absolute worst vacation nightmares. From Walter's own horror stories of being trapped in the pouring rain with World War II-obsessed in-laws and getting vomited on in Curacao, to callers sharing tales of toxic Turkish salads and station wagons that literally fell off the delivery truck.Later, Dave Scott of Spaced Out Radio joins to break down a mind-blowing Gallup poll revealing that 78% of Americans believe the government is hiding UFO secrets.

August 26, 2026: I look at Reuters' report on Meta's Project OT, the internal plan to turn Meta into an AI-native company with smaller, talent-dense teams overseeing software that does more of the daily work. Then I get into Anthropic reportedly telling investors its total addressable market could exceed $30 trillion and why that number may be more about payroll than software. Finally, I unpack Gallup's new Gen Z study and why the most important support for young people may not come from schools, but from weekly conversations at home.

FBI Director Kash Patel met with tribal law enforcement partners in Albuquerque, New Mexico last week. The visit comes on the heels of the agency launching a new tool to raise public awareness over missing and murdered Indigenous cases. KJZZ's Gabriel Pietrorazio has details. It is called Voices Not Forgotten, a webpage featuring select, unsolved crimes across Indian Country where the FBI is seeking the public's help by offering $25,000 minimum rewards. That includes the high-profile homicides in Arizona of Maleeka “Mollie” Boone and Emily Pike. But as Deiandra Reid with the Albuquerque nonprofit Coalition to Stop Violence Against Native Women notes, this tool is not exhaustive. “You know, I looked at this website that they have, and I didn't see my sister on there.” Twenty-two years ago, Navajo teenager Tiffany Reid went missing while walking to high school in Shiprock, New Mexico. Decades prior, a 9-year-old Navajo girl disappeared from nearby Gallup, New Mexico. “Anthonette Cayedito is on there, and she's [been] missing for about 40 years, so I don't see what the difference is between her case and my sister's case. And a lot of times, our relatives fall through the cracks. The visibility is very important, but it's not the finish line.” The Pinyon Plain Mine, as seen from the air in November 2019, is owned and operated by Energy Fuels Inc., which has extensive Canadian roots: (Photo: Ryan Heinsius / KNAU) There has been a surge of mining companies looking to dig for minerals in the Southwest, including near tribal communities. KNAU's Chris Clements explains why so many of these companies are Canadian. It boils down to this: Canada has a unique tax system that allows mining companies that are exploring projects to pass their costs along to investors. John Steen, a professor at the University of British Columbia, says Canada is home to hundreds of those companies. “They’re hearing that the regulatory regime is, you know, maybe as not as tight as it was, and they’re seeing the U.S. as an attractive place for investment and exploration.” Steen says Canadian firms are responding to President Donald Trump's push to end reliance on China for critical minerals. Take Chakana Copper, which is using a subsidiary to explore mining copper on the Navajo Nation. Or Laramide Resources, which wants to mine uranium near the site of the largest release of radioactive mining material in U-S history. James Hopkins, an associate professor at the University of Arizona, says the reason for that is due in part to the rollback of mining regulations. And that's had consequences. “The growth in uranium mining in the United States is unprecedented. With the increased deregulation, you’re seeing these conflicts arising more and more with respect to tribal lands and tribal resources.” Hopkins says the flurry of mining projects, including some proposed by Canadian companies, is causing pushback from tribes who have long borne the environmental consequences of mining. Opponents of a proposed project to drill for uranium in the southern Black Hills listen to a meeting of the Board of Minerals and Environment at the Joe Foss Building in Pierre, South Dakota, Aug. 20, 2026. (Photo: Meghan O'Brien / South Dakota Searchlight) The South Dakota Board of Minerals and Environment took actions affecting two proposed uranium projects in the Black Hills. South Dakota Searchlight's Meghan O'Brien has more. The Dewey-Burdock Project has been on hold for more than a decade. Project leaders want to mine for uranium near Edgemont in the southern Black Hills. Uranium is a metallic, radioactive element used as fuel in nuclear weapons and nuclear power plants. Interest in uranium exploration and mining has risen recently. That is in response to nuclear energy's potential to supply electricity for data centers. The project needs federal, state, and local permitting. After being held up by legal challenges, it secured the remaining federal permits it needs and will start seeking state permits. The Board of Minerals and Environment approved a socioeconomic study, which will help the board understand the economic, environmental, and community impacts of the project. The board also continued discussions on a separate request to drill holes in search of uranium near Craven Canyon, in the same general area of the southern Black Hills. A new state law requires the board to have language interpretation services available at hearings for those who need it, such as Lakota speakers. Some of the project opponents are members of Lakota tribes. A lawsuit by a project opponent against the board alleges it violated due process because an interpreter was not available on the first day of a May permit hearing. The lawsuit is ongoing in federal court and the hearing is on hold. Opponents to the drilling project say it could endanger the canyon walls which are lined with ancient Native American petroglyphs. Others say Native American spiritual practices at the site could be disrupted and the drilling could endanger local water sources. Get National Native News delivered to your inbox daily. Sign up for our daily newsletter today. Download our NV1 Android or iOs App for breaking news alerts. Check out today’s Native America Calling episode Monday, August 24, 2026 — Native in the Spotlight: Dr. Lori Arviso Alvord

In this “Articles of News” episode, Richie and Verlin (our resident News Wizard) are tackling a packed listener inbox, playing a pretty wild Old Testament version of Smooch, Marry, Kill, and breaking down all the biggest stories happening around the Church right now. Banter & The Listener Inbox Verlin is joining us straight from the 1994-era Durham, North Carolina stake office—getting ready for some weekend ward cleaning and a massive “pig pickin'” (smoked pork and banana pudding, anyone?). Meanwhile, Richie recaps a high-energy DJ gig for the Nightingale nursing group and calls out listener Jack Marinello to step up his game in the Facebook comments. Plus, we dive into a great email from Chris about navigating the “Moco” (Mormon Corridor) and the tricky balance of separating actual gospel principles from institutional church culture. Global Church Leadership & Events Happy 94th Birthday to President Oaks! We chat about his first international trip as the 18th President of the Church to dedicate the Belo Horizonte, Brazil temple. We also touch on Elder Patrick Kearon’s powerful message at Education Week to a crowd of 15,000, where he urged everyone to “stop earning their worth.” Also on the docket: Elder Rasband’s MTC address on the current global missionary surge, Elder Villar championing religious freedom down in Peru, and the Institute centennial broadcast out of Johannesburg. Policy, BYU & Institute Updates What do you guys think about the new, 25-minute-shorter Sunday block schedule? We cover that, along with the digital release of 10 joyful new hymns and the new ward-level event RSVP feature rolling out on the app. Over in Provo, Education Week just wrapped up with 16,000 attendees focusing on Charity, and the new BYU School of Medicine announced an upcoming “Christ-Centered Physician” conference. Plus, Seminary and Institute enrollment has officially topped 1 million globally, thanks in large part to the “Invite a Friend” initiative. Culture & Retention Trends We dig into some shifting demographics today, specifically a BYU Studies report on the sharp decline in church retention among Gen Z women. We discuss the commentary pointing to politics, purity culture, and feelings of powerlessness as driving factors. We also look at some interesting Gallup data comparing lower European church participation to the high devotion metrics seen in Africa, Asia, and Oceania. Finally, we share a laugh over a story about a YSA who shaved her head just to deter unwanted dates, and we discuss the viral Friend magazine article asking, “Are there any girl bishops?” Question of the Week: We want to hear from you! What was your biggest takeaway from Elder Kearon’s message about slowing down and no longer trying to “earn your worth”? The Cultural Hall, Articles of News, LDS podcast, Mormon Corridor, Smooch Marry Kill, Durham North Carolina, President Oaks, Belo Horizonte temple, Elder Kearon, Education Week, Elder Rasband, religious freedom, church schedule change, new hymns, BYU School of Medicine, Seminary and Institute, Gen Z retention, YSA dating, girl bishops The post Pig Pickin and cry for help AoN – 1062 appeared first on The Cultural Hall Podcast.

Tech companies are deploying a variety of tactics—from holding listening sessions to offering guaranteed jobs to writing big checks—to win public support for the data centers they need to power AI. WSJ reporter Isabella Simonetti discusses what's at stake in getting public opinion on their side. Plus, we take you inside the race to build America's first nuclear reactor in a generation. Journal reporter Jennifer Hiller explains why atomic energy is hot again, and the risks of a nuclear hype cycle. Belle Lin, a reporter for the Wall Street Journal Leadership Institute, hosts. Sign up for the WSJ's free Technology newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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

A record number of Americans have decided not to drink at all. A Gallup survey of 1,200 adults living in all 50 states has found that 54% of them do consume alcohol, the lowest reading since the polling organization started tracking Americans' drinking habits in 1939. Do you drink?  Have you quit or drink less than before? Nicholas Gilpin, Professor of Physiology and Director at the Alcohol & Drug Abuse Center of Excellence at LSU Health New Orleans, joins Dave Cohen to talk about those trends.

In part two of Red Eye Radio with Gary McNamara and Eric Harley, the two biggest issues that most people are concerned about are vaccines and data centers. An experimental mRNA-based vaccine succeeded in preventing cancer from coming back or spreading in a study of high-risk melanoma patients, Moderna and its partner Merck said Wednesday, paving the way for a potentially new life-extending treatment for the thousands of people diagnosed with the deadly skin cancer each year. Moderna shares more than doubled Wednesday, while Merck's stock hit an all-time high. Also data centers, the gigantic buildings that house the computing power behind the artificial intelligence boom, are wildly unpopular. A recent Gallup poll found that 7 in 10 Americans oppose one being built in their area. For more talk on the issues that matter to you, listen on radio stations across America Monday-Friday 12am-5am CT (1am-6am ET and 10pm-3am PT), download the RED EYE RADIO SHOW app, asking your smart speaker, or listening at RedEyeRadioShow.com. Learn more about your ad choices. Visit podcastchoices.com/adchoices

After following up on Justice Alito's summer interview, the new birthright-citizenship executive orders, and the Court's record-low approval numbers, we devote the episode to Cisco Systems v. Doe, the Falun Gong surveillance case that closes the door Sosa v. Alvarez-Machain left open for new Alien Tort Statute claims. We try to build a theory of the ATS from first principles — Section 9 of the Judiciary Act of 1789, the law of nations, and the Marbois affair — before running through two decades of the Court narrowing the statute. Then we ask what to make of "door closing" as a phenomenon, from Edwards v. Vannoy to Rucho, and whether the Court would really be stuck if the perfect ATS unicorn finally showed up. Along the way: whether Justice Alito is an I-95 or an Amtrak guy, the seven-case October calendar led by Suncor, Rooker anti-Feldmanism, and a Phoenix bar band called the Blackstone Three.Highlights[00:00:21] Opening: 29 episodes makes a record-breaking season, and the secret to sub-4-hour recording sessions[00:02:28] Justice Alito's WSJ interview with James Taranto: "Obviously I'm here for another term," the vultures, and his high school English teacher's psychoanalysis[00:06:27] How Will became a libertarian: Mr. Flannery, Lexis news alerts for "Ayn Rand," and golfer David Duval[00:09:48] Still no action on the mail-in voting applications; a White House ballroom emergency application expected any day[00:11:15] No rehearing petition in Trump v. Barbara — instead, new executive orders probing the decision's edges[00:15:32] The October calendar: only 7 cases, starting with Suncor — "conservative intuitions in search of a constitutional clause"[00:17:04] Mailbag: Rooker anti-Feldmanism via Lance v. Dennis, and Michael Rosman on whether sex-segregated sports are really "equal opportunity"[00:20:32] Gallup has the Court at 33% approval, a record low — the maximally anti-legitimacy strategy[00:22:35] The main event: Cisco Systems v. Doe — an anonymous person versus a faceless corporation[00:23:16] ATS first principles: Section 9 of the Judiciary Act of 1789, the law of nations as brooding omnipresence, and the Marbois affair[00:37:27] The 1980 revival, Sosa v. Alvarez-Machain, and the door Justice Souter left ajar[00:42:45] Two decades of narrowing: Kiobel, Jesner, Nestlé — and Will's brush with a thriving atrocities practice[00:47:33] Cisco closes the door; the Edwards v. Vannoy parallel, and whether door closing is ever dicta[00:52:33] Door closing as a genre: Vieth v. Jubelirer, Rucho — a Green Bag piece for Richard Re[00:56:36] What about pirates? The Blackstone 3 — the doctrine, and the Phoenix bar band[01:00:18] Implied causes of action, the slow death of Bivens, and the Ex parte Young irony after Trump v. Cook[01:05:19] Scoring the opinion: a win for the Bradley–Goldsmith "Erie algorithm" — or selective originalism?[01:13:33] Sign-off: rate and review — and if we go quiet, Will has been taken by piratesRelevant linksCasesCisco Systems, Inc. v. Doe I — slip opinionTrump v. Barbara — the birthright-citizenship decision the new executive orders are testingSuncor Energy (U.S.A.) Inc. v. County Commissioners of Boulder County — the OT26 openerSosa v. Alvarez-Machain, 542 U.S. 692 (2004)Edwards v. Vannoy, 593 U.S. 255 (2021) — slip opinionLance v. Dennis, 546 U.S. 459 (2006) (per curiam) — the Stevens "Rooker good, Feldman bad" dissentCommentary & articlesCNN on the Alito interview — coverage of James Taranto's Wall Street Journal interviewGallup, "Supreme Court Job Approval Slumps to Record Low"Jonathan Adler, "Amicus Brief in Suncor Energy v. County Commissioners of Boulder County" — the solo plaintiffs-side amicusOona A. Hathaway et al., "Has the Alien Tort Statute Made a Difference?," 107 Cornell L. Rev. (2022) — the settlements study cited in Cisco footnote 2Carlos M. Vázquez & Stephen I. Vladeck, "State Law, the Westfall Act, and the Nature of the Bivens Question," 161 U. Pa. L. Rev. 509 (2013)Samuel L. Bray & Paul B. Miller, "Getting Into Equity," 97 Notre Dame L. Rev. 1763 (2022) — why equity never needed causes of actionOtherDivided Argument, "Separation-of-Powers Police" (S4E23) — the Daryl Levinson Law for Leviathan book episodeThe Blackstone Three — original and cover music for all events, parties, and concert venues

On this episode of Destination on the Left, I talk with Morag Barrett, leadership expert, executive coach, keynote speaker, and author of You, Me, We: Why We All Need a Friend at Work and How to Show Up as One. Morag shares why meaningful workplace relationships are no longer a "nice to have" but a critical leadership skill in today's rapidly changing world. We explore how leaders can strengthen human connection, build trust, and create workplaces where people feel supported, challenged, and empowered to do their best work. From navigating uncertainty to embracing vulnerability and accountability, Morag offers practical strategies that apply not only to leadership but to every relationship we build throughout our lives. What You Will Learn in This Episode: Why the human side of leadership often determines long-term organizational success  How uncertainty, rapid change, and remote work have reshaped workplace relationships  What it means to adopt an ally mindset and why everyone needs a friend at work  How the five Ally Mindset practices strengthen trust, collaboration, and accountability  Why meaningful conversations begin by checking in on people before focusing on the work  How leaders can create environments where candor, healthy debate, and new ideas flourish  Practical ways to strengthen relationships through small, intentional actions every day  Why Human Connection Matters More Than Ever Throughout her career, Morag Barrett has observed that successful organizations aren't defined solely by strategy, systems, or technology. Instead, their greatest advantage comes from how people relate to one another. While technical expertise remains essential, lasting success depends on trust, communication, and the quality of workplace relationships.  As organizations continue navigating constant change, hybrid work, artificial intelligence, and ongoing uncertainty, many employees are feeling increasingly disconnected. Morag explains that while conversations around leadership and emotional intelligence have grown, the challenge remains helping leaders invest the time required to strengthen relationships. Rather than treating connection as a soft skill, she encourages leaders to recognize it as a business imperative that directly influences engagement, collaboration, and performance.  Becoming an Ally at Work Morag shares the inspiration behind her book, You, Me, We, which reframes Gallup's familiar question, "Do I have a best friend at work?" into a more powerful leadership challenge: "Am I a friend at work?" This shift encourages individuals to focus less on what they receive from others and more on how they intentionally support those around them.  The conversation explores the five practices of the Ally Mindset: abundance and generosity, connection and compassion, courage and vulnerability, candor and debate, and action and accountability. Together, these practices create a framework for building healthier relationships, encouraging honest conversations, and fostering workplaces where people feel seen, valued, and supported. Rather than relying on grand gestures, Morag demonstrates how consistent everyday behaviors create lasting trust across teams and organizations.  Small Actions That Create Lasting Impact One of the most practical takeaways from this conversation is Morag's reminder that meaningful relationships are built through small, intentional moments. Whether asking a teammate, "What's your number today?" to better understand how they're showing up, expressing appreciation to someone who has positively influenced your career, or simply making time to truly listen, these simple actions create powerful ripple effects.  Morag also challenges leaders to reflect on how they are remembered by those they work alongside. The question isn't simply whether you have supportive colleagues, but whether others would eagerly choose to work with you again. By focusing on intentional connection, personal accountability, and genuine care for others, leaders can strengthen their teams while creating cultures where both people and organizations thrive.  Resources: Website: SkyeTeam.com Ally Mindset Self-Assessment: SkyeTeam.cloud/youmewe LinkedIn: https://www.linkedin.com/in/moragbarrett/

Sara discusses new Gallup data that highlights a profound challenge in the modern workplace: only 21% of employees are engaged, and half are actively seeking new roles. This widespread attitude characterizes the workforce as "psychologically checked out but economically present". Sara argues that low engagement is a systemic organizational problem, not merely a motivational one, and provides specific steps for leaders to implement to address this issue. Stream more episodes on your favorite podcast app! Research Revealed is a production of MOD Network and Evergreen Podcasts.

In this episode of the Celebrate Kids podcast, Dr. Kathy shares her journey of personal growth and the importance of allowing young people the space to explore their paths without the pressure to get it right immediately. Drawing on her experiences as a teacher and professor, she emphasizes that change is a natural part of life and growth. The discussion shifts to the future of parenting, highlighting a recent Gallup survey that explored parents' perceptions about their children's readiness to launch into adulthood. Dr. Kathy encourages parents to embrace the journey of raising their children, preparing them to thrive as young adults in an ever-changing world. Join her as she offers insights and reflections on navigating the challenges and uncertainties of parenting.

Most founders treat culture as a launch-phase item: define the values, hire people who believe in the mission, and trust that early momentum carries it forward. It does, for a while. But as the team grows, the distance between the CEO and the day-to-day experience of employees widens quietly, and the gap between what's on the website and what employees actually live starts to show. Jeannie Kidera, CEO of Kidera Culture Consulting, uses Gallup-backed research methods to help mission-driven companies turn employee listening data into concrete leadership action. Her practice is built on one argument she's made dozens of times: culture isn't a morale issue, it's a revenue line. In this episode, she covers: Why the disengaged employee who stays costs up to 34% of their annual salary every year, a figure that outweighs the turnover number most HR leaders already track How to translate an engagement argument into a money argument, and why that reframe is the most important skill an HR leader can bring to a C-suite conversation What a 90-day culture improvement plan actually looks like: the Gallup 12, one focused pain point, a pulse survey, and an action plan communicated back to employees so change is visible Timestamps [00:01:19] How teaching literature, and specifically asking "what's the subtext," directly maps to the skills needed for employee listening and interpreting between employees and leaders [00:03:33] The four Gallup stats every HR leader should have ready: 23% higher profitability, 20% higher sales, 17% greater productivity, and 10% higher customer loyalty in top-quartile engagement companies [00:05:01] The most common culture mistake founders make without realizing it: assuming that hiring mission-aligned people is enough to sustain and build culture as the company scales [00:06:00] Why rapid growth forces founders to look outward, creating a belief that culture is a soft part of business strategy rather than a direct revenue driver [00:06:42] The Gallup stat that rarely makes it into culture conversations: a disengaged employee who stays costs up to 34% of their annual salary every year, and that number compounds across teams [00:08:16] Why responding to employee survey data matters far more than collecting it, and why ignoring results is actually worse for engagement than not asking at all [00:11:28] How internal communication functions as a core component of employee experience, including why word choice, "subordinates" versus "team members," alters both morale and culture [00:12:15] How to turn an empathy-based engagement argument into a money argument, and the Gallup stat that should anchor every culture conversation with leadership [00:15:39] What it actually takes to live your company values: leadership modeling, public acknowledgment, values alignment assessments, and policies that match what you say you believe [00:18:31] Jeannie's 90-day culture improvement plan: start with the Gallup 12, identify one pain point, run a focused pulse survey, build an action plan with named owners and deadlines, and communicate it back to employees Brought to You by Paylocity Paylocity is the fastest growing unified platform for HR, Finance, and IT. Paylocity brings your people, processes, and data together in one place so HR leaders can spend less time managing systems and more time doing the work that actually moves their organizations forward. Learn more at paylocity.com Keywords: employee engagement, Gallup research, culture consulting, employee experience, mission-driven companies, startup culture, culture as revenue driver, disengagement cost, values alignment, internal communications, employee listening, 90-day culture plan, action planning, pulse surveys, people analytics, retention, people-first culture, culture ROI, HR leadership, founder culture

It's Tuesday, August 18th, A.D. 2026. This is The Worldview in 5 Minutes heard on 140 radio stations and at www.TheWorldview.com.  I'm Adam McManus. (Adam@TheWorldview.com) By Kevin Swanson and Timothy Reed Arizona pastor murdered by crucifixion Demonically inspired opposition to the Christian faith is on the rise here in the United States as well as overseas.  A Christian pastor in Arizona was subjected to a crucifixion-type murder last year. The perpetrator, Adam Sheafe, confessed he did it because the pastor would not compromise on his teaching on the Biblical doctrine of the Trinity and the deity of Jesus Christ.   The murderer, in this case, has been sentenced to life in prison. “For this reason, the Jews persecuted Jesus, and sought to kill Him, because He had done these things on the Sabbath..  . but also that He said that God was His Father, making Himself equal with God.” That's John 5:16 and 18.   Ukraine has achieved an 8-1 casualty ratio with Russia since January Ukraine is back on top in the Russia-Ukraine conflict.  The Center for Strategic and International Studies reports that Ukraine has achieved as much as an 8-1 casualty ratio since the beginning of the year — up from a 2-1 ratio since the beginning of the war.  The report also notes that the war is taking a toll on the Russian people. They suffer from a “sputtering economy, higher prices on groceries and other expenses, tax increases, significant internet restrictions, and an oppressive crackdown on freedom of speech.” Russia has suffered an estimated 450,000 fatalities in the conflict. That compares to the United States losing 102,000 men in military conflicts since World War II. Dramatic increase in military budgets in the Far East Sabers are rattling in the Pacific. Japan's military budget is up 5% year-over-year. South Korea's budget is up 7.5%. The Philippines' budget is up 9%.  And Taiwan's is up 16%.  China's build-up began 25 years ago and is now averaging 7% per year. China's budget is running at $283 billion compared to Japan, South Korea, and Taiwan which are spending $150 billion combined.  America's deficit up 11% Here in America, for the first 10 months of the fiscal year, the U.S. deficit registered an 11% increase year-over-year. That's 31% above the average deficit produced by the Biden budgets between 2021 and 2025. Proverbs 28:22 reads, “A man with an evil eye hastens after riches, and does not consider that poverty will come upon him.” Gen Z investors believe sports betting is good investment An online survey of 1,000 U.S. retail investors conducted in late March and early April, which was released this week, found that 52% of Gen Z investors were planning to shift money originally set aside for stocks or other investments into sports wagers over the past year.  Only about one-third of Gen Z participants reported no involvement in sports betting at all, compared with 63% across all age groups in the survey. Specifically, 26% of Gen Z respondents -- those born between 1997 and 2007 -- said they view sports betting as a deliberate, ongoing part of their wealth strategy. That figure drops sharply with age: 14% of Millennials, 6% of Gen X, and just 1% of Baby Boomers reported the same outlook. Overall, U.S. sports betting has increased from $2 billion of waging to $166 billion in waging since 2018 - just eight years ago, according to Research Ground.   Gen Z also loves cryptocurrency In addition, Motley Fool's recent survey found that Gen Zers are the most likely to invest in cryptocurrency at 49% compared to other demographics including 46% of Millennials, 26% of Gen Xers, and 11% of Baby Boomers.   Plus, 57% of cryptocurrency purchasers think it's an investment, and 26% use it for a monetary exchange. But crypto is losing favor with American investors. Gallup's recent poll found only 2% of Americans favor crypto for a long-term investment which is down from 8% four years ago.  Real estate, stocks, and gold are the favorite choices for investors now. The birth dearth in America The National Center for Education Statistics reports that public schools in America have lost almost two million students since 2019.  This is partially due to the birth dearth – or the decline in America's fertility rate. Since 2015, it amounts to a loss of about one million children. Births to women in America topped out in 2007 at 2.12 or 2,122 births per 1,000 women aged 15–44.  Today, the birth rate is hovering around 1.57 or 1,570 births per 1,000 women. By contrast, the average birth rate for homeschooling families is 3.5 children per family. The Centers for Disease Control reveals that total U.S. births fell off during the first quarter of 2026  — a 2.1% drop off from the previous year. There were 4.3 million births in America in 2007, but only 3.6 million births last year. And we're looking at another drop of about 700,000 students this year.  This data points to an 18% drop in American births in 18 years.  Based on these recent numbers for American births, by 2031, the public schools will lose another 2.44 million students due to birth decline alone in this country. That's not counting the number of students who drop out. Shocker: Canadian male cyclist beating women in the sport And finally, men, pretending to be women, are once again proving that they can beat women in women's sports.  A Canadian cyclist, by the name of “Mr. Ivy,” claimed to have transgendered into a woman; after which he won a women's cycling championship. More recently, “Mr. Ivy” has gone on to win the Inter-Provincial Team title at the Canadian Women's Mid-Amateur Championship golf tournament.  This is actually the third time that he has won the women's Canadian golf tournament. Not surprisingly, he has dominated in other recent golf competitions for woman as well. Close And that's The Worldview on this Tuesday, August 18th, in the year of our Lord 2026. Subscribe for free by Spotify, Amazon Music, or by iTunes or email to our unique Christian newscast at www.TheWorldview.com.  Plus, you can get the Generations app through Google Play or The App Store. I'm Adam McManus (Adam@TheWorldview.com). Seize the day for Jesus Christ. Extra print U.S. Senate still has not passed Safeguard American Voter Eligibility The United States Senate continues to drag its feet on the Safeguard American Voter Eligibility, or SAVE America, Act. The Senate has now adjourned for five weeks, and has no formal plans to try and pass the SAVE Act before fall.  President Donald Trump has repeatedly called on the Republican led Senate to secure American elections and to pass the SAVE Act, but to no avail. Republican Senator Mike Lee of Utah said, “We did our best, left no stone unturned. I wish the outcome had been different, both as to adjournment and as to these votes. This fight's not over. We're just getting started.” Contact your two U.S. Senators by phone or email and ask them to vote for the SAVE Act. 1,000 fake marriages to Chinese nationals in New York The Department of Justice charged 11 individuals in New York last week in a massive marriage fraud scheme. Per the Justice Department, more than 1,000 fake marriages were conducted, mostly between Chinese nationals seeking to obtain green card status in the United States. The operation had been running for more than 10 years.

August 17, 2026: I look at Gallup's new research showing that AI adoption can improve or damage workplace culture depending heavily on one person: the direct manager. Then I get into Siemens CEO Roland Busch's approach to leadership, including short email replies, a sub-100-message inbox, and no recurring one-on-ones with direct reports. Finally, I unpack the public debate between Gavin Baker and Anthropic CEO Dario Amodei over AI fearmongering, trust, data centers, and whether AI leaders have helped create the backlash they are now trying to explain.

Mike Catherwood cohosted Loveline from 2010-2016. He reunites with Dr. Drew LIVE to talk about their years on the iconic radio show, his history with addiction, and how far the recovery conversation has moved since they last shared a studio. CA Governor Gavin Newsom is on record saying ‘clean and sober' was the biggest mistake this country ever made, as part of an argument for dropping sobriety requirements at homeless shelters. Meanwhile young Americans are walking away from alcohol on their own: Gallup's 2025 survey found 50 percent of adults under 35 say they drink, down from 59 percent two years earlier, with the overall US rate at 54 percent, the lowest Gallup has recorded in nine decades. Emmy Award-winning journalist Yuval David discusses the Ceuta migrant crisis after Spain's North African enclave was overwhelmed when tens of thousands of migrants crossed from Morocco in a matter of days. Comedian Francisco Ramos speaks about his new special Still Learning, filmed at The Triad Theater in New York City. Yuval David is an Emmy Award-winning journalist, news commentator, and strategic political advisor working across public diplomacy, human rights, and strategic communications. Follow at https://yuvaldavid.com Mike Catherwood is known as the “best looking and most well-equipped radio and TV personality” in the world. He cohosted Loveline with Dr. Drew from 2010–2016 and now hosts the Mikey Likes You podcast. Follow at https://instagram.com/mikecatherwood/ Francisco Ramos is a stand-up comedian who has performed in English, Spanish, and every room in between, including a Top 10 finish on Last Comic Standing. His new special, “Still Learning,” filmed live at The Triad Theater in New York City and produced by Super Nice Guys, digs into marriage, therapy, cultural collisions, and growth. 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As the 2026 midterms approach, we're taking on a defining question in American politics: is MAGA the same as Trump, and is Trump the same as the Republican Party? MAGA has become the party's public face, yet many of Trump's own voters don't consider themselves part of the movement. We examine whether that coalition can hold together with Trump off the ballot, what happened the last time his name wasn't on it, and why one party is heading into November noticeably more motivated to vote than the other. It may be the clearest test yet of whether MAGA is bigger than the man who built it. Then, we turn to criminal records. A person can be arrested, never convicted, and still carry a record for life, one that can affect their ability to find a job, rent a home, earn a professional license, or even vote. We look at how many Americans are living with a record, the rare bipartisan support for reforming how those records are used, and why, despite that agreement, so little has changed. We also examine how Americans view the prison system itself and why that view has held largely steady for a generation. And for our fun fact, we go back to 1950, when Gallup asked Americans a simple question: can you swim?

It's Thursday, August 13th, A.D. 2026. This is The Worldview in 5 Minutes heard on 140 radio stations and at www.TheWorldview.com.  I'm Adam McManus. (Adam@TheWorldview.com) By Jonathan Clark and Adam McManus Haitian gangs target churches Violent gangs in Haiti are increasingly targeting churches. These gangs control up to 90 percent of the capital of Port-au-Prince. They have killed and kidnapped religious leaders and shut down dozens of churches.  Catholic Bishop Joseph Gontrand Décoste told Aid to the Church in Need, “We are the last remaining retaining wall: moral, ethical, spiritual, and prophetic. … That is why they want to eliminate us.” Christians help victims of Columbia's earthquake Christians are bringing disaster relief to Colombia.  A 7.4-magnitude earthquake struck the South American country on Monday. The quake killed 250 people and injured thousands more.  Many Christian relief organizations are sending aid to the country, including Samaritan's Purse. Franklin Graham, the president, wrote on X, “We … are currently working to put together an airlift of relief supplies, including emergency shelter tarp and hygiene kits. I encourage you to pray for the people of this country.” Hebrews 13:16 says, “Do not forget to do good and to share, for with such sacrifices God is well pleased.” Send a much-needed donation to the Columbian victims of this earthquake through Samaritan's Purse. You'll find the donation link in our transcript today at www.TheWorldview.com. Mexican Bible Society translates Scriptures into 8 local languages The Bible Society of Mexico is celebrating six decades of ministry this year. The Bible has been translated into eight indigenous languages in the country. And the demand for Bibles is growing as Protestant churches expand their presence.  Efraín Amaro is the head of distribution of the Bible society. He told Christian Daily International, “In 60 years, more than 374 million biblical materials have been distributed. We have reached 13 cities across the country with service and distribution centers.” Revelation 7:9-10 says, “After these things I looked, and behold, a great multitude which no one could number, of all nations, tribes, peoples, and tongues, standing before the throne and before the Lamb, clothed with white robes, with palm branches in their hands, and crying out with a loud voice, saying, ‘Salvation belongs to our God Who sits on the throne, and to the Lamb!'” White House Press Secretary Karolien Leavitt embraces motherhood White House Press Secretary Karoline Leavitt, age 28, will be leaving her position to fully embrace motherhood. She and her 60-year-old husband, Nicholas Riccio, have two children together -- their son Niko, 2, and Viviana who is three months. In a Truth Social post, President Donald Trump explained that she “will be departing her role at the end of the month so she can spend more time with her beautiful young children and family, a decision I totally understand and respect!” In a statement on X, Leavitt added, “Serving as the White House Press Secretary over the past year and a half has been the honor and adventure of a lifetime. I am incredibly grateful to President Trump for granting me so many extraordinary opportunities, such as working in the West Wing and spending countless hours in the Oval Office, flying around the world and meeting foreign leaders, and traveling across our beautiful country and meeting Americans from all walks of life. “The truth is, since returning to the White House after the birth of my daughter, I have felt in my heart that I cannot be the best mom my two young children deserve while devoting the constant time, energy, and attention required of the White House Press Secretary. And that is why I have ultimately made the bittersweet decision to depart the White House.” Titus 2:4-5 says, “Train the young women to love their husbands and children, to be self-controlled, pure, working at home, kind, and submissive to their own husbands, that the word of God may not be reviled.” Democrat socialist barely defeated in Wisconsin Socialist Democrats suffered a setback in Wisconsin on Tuesday. Moderate David Crowley barely defeated socialist Francesca Hong in the Democrat primary election for governor. According to NBC, the vote was 39.8% vs 39.3%. Just 3,796 votes separated the two in the statewide race. Leftist candidates had been winning many Democrat primaries this year. Despite being considered a moderate, Crowley believes that killing unborn babies is “healthcare” and must be “protected at all costs.” He made this comment in his victory speech. CROWLEY: “Every one of us has something much bigger to unite around. And that is keeping [Make America Great Again] extremism from bringing the chaos we see in Washington into our neighborhoods right here in the state of Wisconsin. From the very first day that I announced this campaign, I said the real threat wasn't any of my primary opponents. The real opponent has always been Tom Tiffany. That remains true today.” Tiffany, the Republican nominee for Wisconsin governor, is currently a member of Congress. The Washington Examiner reports that new Democratic-affiliated polling shows Crowley beating Tiffany by three points this fall, though the race is within the margin of error. Crowley leads Tiffany 47% to 44%, according to the poll by Protect Our Wisconsin, a group backed by the Democratic Governors Association.  Federal gov't gave mega money to religious migrant resettlement groups The federal government funded major religious groups with hundreds of millions of dollars in migrant resettlement grants. The data comes from Brian Chau, the founder of Efforts News. Tech entrepreneur Elon Musk brought attention to this research in a post on X this week. In one case, the U.S. Conference of Catholic Bishops received over $180 million dollars in migrant resettlement grants in 2024. That was over 80 percent of the group's revenue at the time. The contracts ended last year after the Trump administration cut funding to such programs.  Women hold more jobs than men in America Women now hold more jobs than men in the U.S economy.  A report from Indeed's Hiring Lab found the number of jobs held by men declined by 142,000 between February 2025 and February 2026. Over the same period, the number of jobs held by women grew by 298,000.   The report noted, “More jobs are held by women than men in the non-farm economy, not because of a recession, but because of years of eroding male labor force participation.” Americans become skeptical of capitalism Americans are becoming less positive toward capitalism. A new Gallup survey found 54 percent of U.S. adults said they have a positive image of capitalism. That's down from 61 percent in 2010. Thirty-nine percent said they have a positive image of socialism. That's up from 36 percent in 2010. The drop in positivity toward capitalism has accelerated since 2021. Americans trust small, local businesses and churches And finally, Americans tend to trust small, local institutions, according to research from the Barna Group.  U.S. adults put some of their highest trust in local businesses, individual Christians, and small churches. They put moderate trust in Christian pastors, Christian non-profits, and Christian businesses. But they had little trust for megachurches and celebrity pastors.  Compared to 2024, Christian non-profits, charities, and small churches saw the largest growth on the trust index.  Close And that's The Worldview on this Thursday, August 13th, in the year of our Lord 2026. Subscribe for free by Spotify, Amazon Music, or by iTunes or email to our unique Christian newscast at www.TheWorldview.com.  Plus, you can get the Generations app through Google Play or The App Store. I'm Adam McManus (Adam@TheWorldview.com). Seize the day for Jesus Christ.

Hey everybody, Welcome to Chapter 50 of 3 Books! We're going to hang out on a hotel room couch in Vancouver for a little bit of calm. I am very excited to have you on the couch beside me and the absolutely incredible Marcus Buckingham. Who is Marcus? Well, if you're in the business world, you've probably heard of him. Why? Well, he's written books sitting on every executive's bookshelf and his assessments and work are used everywhere.    Marcus Buckingham is a global researcher and thought leader focused on unlocking people's strengths, increasing their performance, and pioneering the future of how people work.    How did Marcus end up doing this job? Well, after working as Senior Researcher inside Gallup for a couple of decades he co-authored some of the most popular business books of all time including 'First Break All The Rules', 'Now Discover Your Strengths', and his bestseller,  'Love + Work: How to Find What You Love, Love What You Do, and Do It for the Rest of Your Life'.  What does Marcus do now? He is currently focusing on his book, 'Design Love In', and leading his coaching and education firm, the Buckingham Institute. I love the optimism behind his work. That people are born as acorns, with an imprint inside them on what they could be, and what their true potential could lead them to. I sat down with Marcus overlooking the foggy mountains over Vancouver Harbour just before he took to the stage for the headlining slot at The Art of Leadership. We cover a lot of topics in this chapter including: How do we learn to truly see our children? How can the education system be improved? How do we avoid tribalism? What is the real definition of weird? What's the single best question to ask yourself when trying to articulate your strengths? And how can we find our own unique way to draw strength and love from life? I found Marcus to be brave, vulnerable, and inspiring in this conversation. Years ago, when I worked at Walmart, we used Marcus's books and videos in our training sessions. Getting a chance to sit down with him many years later to discuss his 3 most formative books was a rare treat. Let's go…

What if the skill that makes a comedian great on an unscripted stage is the same skill that makes a leader great in an unpredictable economy?Layoffs and AI have left a lot of people feeling like a line item instead of a human being. Jordana Cole flips that on its head: you are not the resource, you are the source.Jordana is an applied improviser, Gallup Strengths Coach, and University of Pennsylvania positive psychology grad. In this episode she joins host Ashish Kothari to turn a decade on the improv stage into a practical playbook for leading through uncertainty.Together they dig into why AI has no source material without us, why uncertainty is the constant rather than the exception, why an 80/20 tilt toward strengths beats the grind of fixing what is broken, and why play is not a reward for hard work but the thing that makes hard work possible.Improvisation, not certainty, is the human edge in the age of AI. You will walk away with three things you can try this week and one brainstorming trick that changes how your team thinks.What You Will Learn:You are the source, not the resource. AI has nothing to learn from without us.Uncertainty is the constant, not the exception. Possibility, not threat.Play to the scene you're in. Accept reality first, then decide what's next.Lead with your strengths. Gallup: 3x higher quality of life, 6x more engagement.Co-create, including with AI. Treat AI as a partner, not a vending machine.Don't carry your mistakes. Park it and return to center.Episode Chapters:00:00 Why human creativity and connection matter even more in an AI-driven world.08:09 Jordana reframes uncertainty as a constant—and an opportunity.10:17 Use AI to amplify your strengths rather than simply replace tasks.17:17 How improv helps people adapt when plans change.24:25 Focus on the reality you're in and what you can control.36:00 Co-creation: building better ideas by building on others' input.45:30 Why play is a catalyst for creativity, energy, and better work.50:27 Three practical ways to navigate uncertainty with more confidence and play.Resources:Connect with the GuestLinkedIn: Jordana ColeWebsite: Ignited by JordanaTEDx: What to do when you don't know what's next Connect with the HostLinkedIn: Ashish KothariWebsite: Happiness SquadBook: Hardwired For HappinessYouTube: Happiness Squad ChannelTEDx: How to make flourishing your competitive edgeIf this conversation sparked something for you, please subscribe and leave a review, it takes 30 seconds and helps more people discover the show.

This summer on Dominate Your Day, we are returning to the episode vault to bring back experts to discuss each of Gallup's five essential areas of wellbeing: Purpose, Social, Financial, Physical, and Community. Today we explore Social Wellbeing what Gallup identifies as having strong relationships and love in your life. According to Gallup, people who are thriving in social wellbeing have several hours of meaningful social interaction every single day. Yet we are living through a loneliness epidemic unlike anything we have seen before. This episode is for every leader who feels it. Dr. Camille Preston business psychologist, executive coach, and author of Living Real discusses the danger of shallowing and why the world is craving real connection. Shari Leid connection coach, friendship expert, author of Table for 51 and Flip the Box, and founder of the Flip the Box Method shares what happened when she shared a meal with a stranger in all 50 states and what it taught her about why we struggle to connect. Andy Lopata professional relationship strategist and author of six books explains the blended mindset that makes relationships work and the Curiosity Cycle that builds trust. Episode Minutes: Minute 4: Life as A Sine Wave Minute 8: What Stops Us From Connecting Minute 16: The Curiosity Cycle Links + Resources from This Episode: Learn more about Dr. Camille Preston's work at www.aimleadership.com Get a copy of Dr. Camille Preston's book, Living Real: Redifining Success, Pretense, and Happiness Get Dr. Camille Preston's Living Real Gathering Kit at www.livingreal.aimleadership.com Learn more about Shari Leid's work at www.animperfectlyperfectlife.com Get a copy of Shari Leid's books Table for 51 and Flip the Box Find Andy Lopata's books, podcast, and assessments here Take the free 3-minute Authentic Imprint™ Assessment Get a copy of Dana's book, The Internal Revolution: Lead Authentically and Build Your Personal Brand from Within Learn more about The Strengths Journal

Send us Fan MailManagers are carrying too much, employees are feeling less connected, and AI is about to expose every weak workplace system that already exists. Chuck from HR Stories and leadership expert John Thalheimer break down Gallup's 2025 State of the Global Workplace findings and reveal what they actually mean for 2026.The headline number is hard to ignore: global employee engagement fell to 20%, costing the world an estimated $10 trillion in lost productivity. But the real story is not just disengagement, but rather what is driving it, from overwhelmed managers and broken processes to unclear priorities, poor systems, and workplaces that ask people to care without giving them a reason to.Chuck and John unpack why engagement is a result, not a goal you can simply demand. They dig into the manager decline, the emotional burden of leadership, and why so many organizations keep promoting high performers into roles they were never trained to handle. You'll hear why “pizza party” perks do not fix culture, why agency matters more than inspirational posters, and why meaningful choice, contribution, and progress are the real ingredients of better work. Support the showOur new book...The Ultimate Guide to HR: Checklists Edition is now AVAILABLE! Go to UltimateGuidetoHR.com to Get HR Right: and Avoid Costly Mistakes. Certified and approved for 3 SHRM Recertification Credits.Join the HR Team of One Community on Facebook or visit TeamAtHRstories.com and sign up for emails so you can be the first to know about new things we have coming up.You can also follow us on Instagram and TikTok at @HRstoriesPodcastDon't forget to rate our podcast, it really helps other people find it!Do you have a situation or topic you'd like the team to discuss? Are you interested in having Chuck or John talk to your team or Emcee your event?  You can reach the Team at  Email@TeamAtHRStories.com for suggestions and inquiries.The viewpoints expressed by the characters in the stories are not necessarily that of The Team at HR Stories. The stories are shared to present various, real-world scenarios and share how they were handled by policy and, at times, law. Chuck and John are not lawyers and always recommend working with an employment lawyer to address concerns. 

You’re listening to American Ground Radio with Stephen Parr and Louis R. Avallone. This is the full show for August 10, 2026. We kick things off with Iran's audacious demand for war reparations from the United States — and President Trump's brilliant response that flips the script and opens up Iran's own record of terror funding, hostage-taking, and brutality against its own people for the world to see. Then we run through the Top 3 things you need to know: President Trump's executive order spacing out childhood vaccines and trimming the recommended schedule, the DOJ's lawsuit against New York, Connecticut, and Vermont over in-state tuition for illegal aliens, and the Pentagon renaming Joint Base Charleston to Joint Base Lindsey Graham in honor of the late senator. We dig into the disturbing pattern of violence in the WNBA, including the flagrant hit on Sophie Cunningham, and ask our American Mamas whether Enes Kanter Freedom and Royce White should be allowed to play in the WNBA after applying under the league's gender rules. We break down new numbers showing marijuana use has overtaken both daily cigarette and alcohol use in America — and why that should worry us more than it does. In Digging Deep, we expose how a soft-on-crime plea deal in Maricopa County let a confessed murderer walk free, only for him to allegedly torch 700 homes in Spokane, Washington. We also cover the discovery that British Royal Navy sea drones have been caught communicating with a server in China. There's a Bright Spot in new Gallup polling showing more Americans — especially Republicans — believe parents should be married before having kids. We call out the University of Michigan for hiding freshman grades behind a pass/no-credit system that shields students from the consequences that build real character. And we close by remembering Ben Jones, the actor who played Cooter on The Dukes of Hazzard and went on to serve in Congress, who passed away this weekend at 85. May your pursuit of happiness bring you joy. Listen now wherever you get your podcasts, visit AmericanGroundRadio.com, and join the conversation at 866-AGR-1776.See omnystudio.com/listener for privacy information.

With Congress heading deeper into the midterm election season, what remains unresolved? Wisconsin Republican Congressman Derrick Van Orden joins the Rundown to discuss the stalled Farm Bill and proposed reforms to the SNAP food assistance program. As a member of the House Agriculture Committee, Van Orden also weighs in on recent food safety concerns and efforts to protect livestock from the New World screwworm, which he says is contributing to high beef prices. Plus, he discusses his reelection fight in Wisconsin's competitive 3rd Congressional District and the broader political landscape heading into the midterms. As America marks its 250th birthday, recent polling suggests national pride is shifting. A FOX News poll shows 53 percent of Americans are proud of the country, while Gallup reports national pride has dropped to an all-time low. Connor Boyack, president of the Libertas Institute and creator of the Tuttle Twins series, joins the Rundown to discuss what is driving the decline—and how education can reconnect young Americans with the nation's founding principles. PLUS, commentary by Tevi Troy, senior fellow at the Ronald Reagan Institute and a former senior White House aide. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Episode Summary Quiet cracking,  distinct from quiet quitting, describes employees who are still showing up, still performing, sometimes performing really well, but are internally under pressure, uncertain about their job security, or unclear on what's expected of them. They're not checked out. They're just cracking quietly while holding it together on the surface.  In this episode, co-hosts Karen Swim, APR, and Michelle Kane address this trend and how it impacts Solo PR Pros. The Talent Trends 2026 report found 54% of respondents have experienced some level of quiet cracking, with one in five saying they experience it frequently or constantly. Gallup's 2025 engagement data shows only 31% of US employees were actively engaged at work. Karen and Michelle make the case that this is not an HR headline — it's a communications problem that solo PR pros are already standing in the middle of, and one they're uniquely positioned to surface and address. They walk through what quiet cracking looks like in client organizations, the say-do gap it creates between internal reality and external messaging, four objections practitioners will raise (with honest answers to each), a three-question filter for identifying quiet cracking clients, a live scenario drill on handling a client who just went through quiet layoffs, and what to do when the same isolation and uncertainty you help clients name applies to your own practice. Episode Highlights [01:22] Quiet Cracking vs. Quiet Quitting: Why the Distinction Matters: Karen draws the line clearly. Quiet quitting was behavioral — people doing the bare minimum on purpose. Quiet cracking is about people who are still showing up and often performing well, but are internally under pressure, uncertain about job security, or unclear about expectations. They're not checked out. They're holding it together while cracking on the inside. The distinction matters because quiet cracking is harder to see, harder to name, and — for PR practitioners — far more consequential to the external messaging they're being paid to manage. [02:43] The Data: 54% Have Experienced It, Only 31% Are Actively Engaged: The Talent Trends 2026 report found 54% of respondents had experienced some level of quiet cracking, with one in five reporting it frequently or constantly. Separately, Gallup's 2025 data shows only 31% of US employees were actively engaged at work. Michelle notes the real number is probably higher — people were likely reluctant to admit it. Karen and Michelle flag upfront that some regional figures they found alongside these reports are still working through their verification process and will be linked in the show notes as confirmed. [04:07] Why This Is a Communications Problem, Not an HR Problem: Karen's framing lands clearly: when a workforce is quietly cracking, the people experiencing it are also the people who talk — to friends, to Glassdoor, to LinkedIn, to reporters who cover their industry. Meanwhile, the company's external messaging is often saying the exact opposite of what's happening inside. In the past, a scandal or mass layoff was needed to make that gap visible externally. Now it leaks constantly in small ways, because everyone has a publishing platform in their pocket. The say-do gap between internal reality and external narrative is squarely a communications problem. [06:03] Why Solo PR Pros Are Already Standing in This Spot: The most common objection Karen anticipates: 'I'm an external comms person, this is an HR or culture consultant's job.' Her response: if you already do executive communications, thought leadership, or employer brand messaging, you're already standing at the exact intersection where internal reality and external narrative either line up, or they don't. The question to start asking: is what you're telling the outside world about this company's culture and people something that would hold up if anyone looked inside right now? That's a comms function, not an HR function. [09:01] Four Objections — With Honest, Bounded Answers: Karen and Michelle work through four objections the Solo PR Pro community will raise. One: I'll get pulled into HR issues I'm not equipped to fix. Answer: you're doing a narrative alignment check, not a culture overhaul Two: this feels like scope creep. Answer: keep the initial offer narrow and bounded, a message and narrative audit, maybe a leadership communications coaching session, scoped clearly upfront. Three: is quiet cracking just another buzzword? Answer: the underlying data isn't new, Gallup has been tracking disengagement for years, and it keeps getting worse; the label may fade but the problem won't. Four (the quiet one): will raising this insult the client and jeopardize the relationship? Answer: frame it as market context, not a diagnosis — here's a trend I'm seeing across industries; I wanted to flag it and ask a couple of questions. [13:05] How to Raise It Without Blowing Up the Relationship: Karen's approach: never lead with it and never frame it as an accusation. Bring it as market context — a trend showing up across industries that you wanted to flag and ask a couple of questions about. That framing lands completely differently than suggesting the client's organization is falling apart. Karen also names these as her favorite kind of client engagement: rich, layered, strategy-heavy work that uses PR skills in ways that don't always get deployed in day-to-day media relations. [14:33] The Three-Question Filter for Identifying Quiet Cracking Clients: Karen's three questions to run on any current or prospective client. One: is there a visible gap between the external messaging and what you would actually find if you talked to employees? That's the say-do gap check. Two: is leadership communicating clearly right now about anything that will create uncertainty — restructuring, return to office, layoffs, a merger, a rocky quarter? If not, that silence is the opening. Three: would a light-touch audit — not a full culture overhaul, just a message and narrative review — surface something useful? If all three are yes, you have a real offer to bring. [16:53] The Live Drill: A B2B Tech Client with Quiet Layoffs: Michelle runs a scenario: a long-retained B2B tech client just went through quiet layoffs — no public announcement, people disappearing from company Slack — while the careers page still says 'we invest in our people.' Karen runs it through all three questions: the say-do gap is glaring, leadership communication was absent, which created an uncertainty vacuum for remaining employees, and a light-touch audit of the careers page messaging is a completely natural scope conversation. The entry point: 'I noticed the careers page messaging hasn't been updated since before the reorganization. Do you want me to take a look at whether it still reflects where you are?' Not scary. Not confrontational. Exactly in scope. [20:54] Why This Connects Back to Why Solos Went Solo: Karen closes on the thread beneath the whole episode: a lot of solo practitioners went independent partly because they didn't want to be inside a workplace that was quietly cracking. Now they're watching that same dynamic play out for the clients they serve. The isolation and uncertainty they help clients name in their organizations is worth naming for themselves too — and it's a good reminder that none of them should be figuring out how to spot or address this stuff completely alone.   Resources & Additional Information Talent Trends 2026 Report — Quiet cracking research Gallup — State of the Global Workplace 2025 That Solo Life, Episode 349: The 4 Structural Fixes That Protect Solo PR Pros from Burnout Solo PR Pro membership community: soloprpro.com That Solo Life podcast website: thatsololife.com   Host & Show Info That Solo Life is a podcast created for public relations, communication, and marketing professionals who work as independent and small practitioners. Hosted by Karen Swim, APR, President of Solo PR Pro, and Michelle Kane, Principal of Voice Matters, the show delivers expert insights, encouragement, and practical advice for solo PR pros navigating today's dynamic professional landscape. Listen to all episodes and catch up on previous conversations at thatsololife.com. Did this episode inspire you? If you found value in this conversation, please take a moment to leave us a review on your favorite podcast platform. Your feedback helps us reach more solo pros just like you! Don't forget to subscribe so you never miss an episode.

With Congress heading deeper into the midterm election season, what remains unresolved? Wisconsin Republican Congressman Derrick Van Orden joins the Rundown to discuss the stalled Farm Bill and proposed reforms to the SNAP food assistance program. As a member of the House Agriculture Committee, Van Orden also weighs in on recent food safety concerns and efforts to protect livestock from the New World screwworm, which he says is contributing to high beef prices. Plus, he discusses his reelection fight in Wisconsin's competitive 3rd Congressional District and the broader political landscape heading into the midterms. As America marks its 250th birthday, recent polling suggests national pride is shifting. A FOX News poll shows 53 percent of Americans are proud of the country, while Gallup reports national pride has dropped to an all-time low. Connor Boyack, president of the Libertas Institute and creator of the Tuttle Twins series, joins the Rundown to discuss what is driving the decline—and how education can reconnect young Americans with the nation's founding principles. PLUS, commentary by Tevi Troy, senior fellow at the Ronald Reagan Institute and a former senior White House aide. Learn more about your ad choices. Visit podcastchoices.com/adchoices

With Congress heading deeper into the midterm election season, what remains unresolved? Wisconsin Republican Congressman Derrick Van Orden joins the Rundown to discuss the stalled Farm Bill and proposed reforms to the SNAP food assistance program. As a member of the House Agriculture Committee, Van Orden also weighs in on recent food safety concerns and efforts to protect livestock from the New World screwworm, which he says is contributing to high beef prices. Plus, he discusses his reelection fight in Wisconsin's competitive 3rd Congressional District and the broader political landscape heading into the midterms. As America marks its 250th birthday, recent polling suggests national pride is shifting. A FOX News poll shows 53 percent of Americans are proud of the country, while Gallup reports national pride has dropped to an all-time low. Connor Boyack, president of the Libertas Institute and creator of the Tuttle Twins series, joins the Rundown to discuss what is driving the decline—and how education can reconnect young Americans with the nation's founding principles. PLUS, commentary by Tevi Troy, senior fellow at the Ronald Reagan Institute and a former senior White House aide. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Send us Fan MailAugust can feel like a race against the clock for school leaders. Between staffing, schedules, professional development, technology, and a never-ending to-do list, it's easy to believe that success comes from simply getting everything checked off. But experienced principals know there's a better way.In this episode, Dr. Mel shares the priorities that have the greatest impact before students ever walk through the doors. Rather than focusing on doing more, you'll learn how to focus on what matters most through the three leadership systems—Leader, Logistics, and Learning. If you're a new principal or early-career school leader, this episode will help you begin the school year with greater clarity, confidence, and purpose.In This EpisodeWhy a longer checklist doesn't always lead to a stronger school year.The leadership mistake many principals make before teachers return.How to identify the few priorities that create momentum for everything else.Practical ways to strengthen your Leader, Logistics, and Learning systems.Research-backed leadership insights that support sustainable school improvement.One simple action you can take today to reduce stress before the first day of school.Resources MentionedCollins, J. (2001). Good to Great: Why Some Companies Make the Leap... and Others Don't. HarperBusiness.Fullan, M. (2020). Leading in a Culture of Change (2nd ed.). Jossey-Bass.Gallup. (2023). State of the Global Workplace 2023 Report. Gallup Press.Hattie, J. (2023). Visible Learning: The Sequel. Routledge.Sinek, S. (2009). Start with Why: How Great Leaders Inspire Everyone to Take Action. Portfolio.The Wallace Foundation. (2021). How Principals Affect Students and Schools: A Systematic Synthesis of Two Decades of Research. https://www.wallacefoundation.org/knowledge-center/pages/how-principals-affect-students-and-schools.aspxProverbs 24:3–4 (NIV)"By wisdom a house is built, and through understanding it is established; through knowledge its rooms are filled with rare and beautiful treasures."As leaders, we don't build great schools by accident. We build them intentionally—through wise decisions, thoughtful systems, and a commitment to serving students, staff, and families well.Support the showMillion Podcasts ListDownload Upside and use my code MELINDA35278 to get 15¢ per gallon extra cash back on your first gas fill-up and 10% extra cash on your first food purchase!Download Fetch app using this link, submit a receipt and we'll both score bonus points.Calling All Educators! I started a community with resources, courses, articles, networking, and more.I am looking for members to help me build it with the most valuable resources.I would really appreciate your input as a teacher, leader, administrator, or consultant.Join here: Empowered Educator CommunityBook: Educator to Entrepreneur: IGNITE Your Path to Freelance Successemail: melinda@empowereducator.com

Nearly three out of five people say no one truly knows them. Almost half describe their relationships as meaningless, and most people feel disconnected from the work they spend the majority of their lives doing. Darin believes this isn't just a mental health crisis, it's a symptom of a deeper "matrix" that keeps us living someone else's version of life. In this powerful solo episode, Darin explores why comfort has become one of the greatest barriers to transformation. He explains how fear disguises itself as familiarity, why the voice holding you back often sounds exactly like your own thoughts, and how giving yourself permission to pursue your authentic vision is the first step toward reclaiming your life. Through personal stories, practical mindset shifts, and a call to courageous action, Darin reveals why escaping the matrix isn't about fighting the outside world—it's about overcoming the internal programming that's kept you playing small. This episode is the first installment of a deeper multi-part conversation, with additional principles available in the full extended version live now on my Patreon: https://patreon.com/DarinOlien  What You'll Learn Why comfort may be the greatest obstacle to living your purpose Darin's definition of the "matrix" and how it operates through your own thoughts Why fear often disguises itself as comfort and familiarity How to recognize when you've outsourced your power The importance of giving yourself permission instead of waiting for approval Why your vision must be bigger than your fear How Darin overcame self-doubt to ask a celebrity to join his documentary series Why meaningful change begins with choosing possibility over limitation How to identify the internal stories keeping you stuck Why building a SuperLife requires consistently choosing discomfort over complacency Chapters 00:00:00 – Welcome to SuperLife 00:00:32 – Sponsor: Alkemis 00:03:23 – The loneliness epidemic and the modern matrix 00:04:20 – What the "matrix" really is 00:05:23 – Why you can't think your way out of it 00:06:04 – Comfort: fear's greatest disguise 00:06:37 – The internal voice keeping you stuck 00:07:05 – Darin's story of overcoming fear to ask a celebrity for help 00:09:09 – Why courage creates unexpected opportunities 00:10:19 – The matrix doesn't need to trap you—it only needs to keep you comfortable 00:11:24 – What people actually need to break free 00:11:53 – Give yourself permission 00:12:25 – Sponsor: Manna Vitality 00:14:20 – Stop outsourcing your power 00:15:20 – Build a vision powerful enough to break inertia 00:16:03 – Darin's vision: creating a world that works 00:17:15 – Reclaim your power and choose your own path 00:17:33 – What comes next in Part Two on Patreon 00:18:23 – Continue the journey on Patreon Thank You to Our Sponsors Alkemis: Go to https://alkemispaint.com/ and use code DARIN10 for 10% off your order. Manna Vitality: Go to mannavitality.com/ and use code DARIN12 for 12% off your order. Join the SuperLife Patreon: This is where Darin now shares the deeper work: - weekly voice notes - ingredient trackers - wellness challenges - extended conversations - community accountability - sovereignty practices Join now for only $7.49/month at https://patreon.com/darinolien Find More from Darin Olien: Website: darinolien.com Instagram: @darinolien Book: Fatal Conveniences Platform & Products: superlife.com New Show: Roadmap to Happiness Key Takeaway "The greatest prison isn't built with walls—it's built with comfort. Every time you choose familiarity over possibility, fear over vision, or permission from others over trust in yourself, you reinforce the life you say you want to escape. Freedom begins the moment you stop waiting, reclaim your power, and take the first uncomfortable step toward the life you know you're meant to live."     Bibliography/Sources: Loneliness & Connection Data Gallup. (n.d.). State of the global workplace report [Data on loneliness]. Reach Out Recovery. (n.d.). Statistics on loneliness and how to cope. https://reachoutrecovery.com/ Science of People. (n.d.). Loneliness statistics: How many people are lonely?. https://www.scienceofpeople.com/loneliness-statistics/ Workplace Engagement & Economic Impact Archie App. (n.d.). The $8.8 trillion cost of employee disengagement. https://archieapp.co/ Gallup. (2024). State of the global workplace report. https://www.gallup.com/workplace/349484/state-of-the-global-workplace.aspx Gallup / AOL. (n.d.). U.S. employee engagement drops to 11-year low. https://www.aol.com/ HR Cloud. (n.d.). Employee engagement statistics. https://www.hrcloud.com/

Artificial intelligence may be transforming the way we work, but the infrastructure behind it is creating new questions for communities across the country. As demand for AI grows, so does the need for massive data centers that power everything from cloud computing to new AI tools. While supporters point to jobs, investment, and economic growth, many Americans are raising concerns about electricity use, water consumption, environmental impacts, and whether local communities should bear the costs of powering the AI revolution. And the issue is blasting into election campaigns across the country ahead of the mid-terms. Is this the sleeper issue of the year? Next, we look at the growing conversation around mental health in the workplace. Stress and burnout remain widespread, especially among younger workers, and employees increasingly say that workplace well-being affects where they choose to work and whether they stay. We explore the push for mental health days, the rise of employer-sponsored mental health benefits, and the challenge of creating workplaces that support employees before problems become crises. Finally, we test your knowledge with a fun fact from the past — when Gallup asked Americans in 1948 about their ideal home temperature. See how public preferences have changed and whether your guess matches the numbers.

Purple Political Breakdown: Political Solutions Without Political Bias. Host Radell Lewis breaks down the week in national politics, Trump corruption, the 2026 midterms, and the stories other coverage is flattening. This week opens with two pieces of audio and the gap between them. Hasan Piker responds to Abdul El-Sayed's Michigan Senate primary win by calling Democrats Islamophobic and relitigating a race that was already over. El-Sayed responds by saying there is more that unites us than divides us and that there are thirteen weeks to beat Mike Rogers. One of those people understands the political landscape. The other is grifting for clout. Radell explains why the difference matters heading into November. Then the debut of a new weekly segment: Follow the Money, This Week in Trump Corruption. Trump Media launched Truth API on August 1, selling financial firms a real-time feed of the President's Truth Social posts milliseconds before the public sees them, at up to 100,000 dollars a month, while Trump holds roughly 41 percent of the company and announces tariffs and military action on that platform first. Warren and Schiff have asked the SEC to investigate. Also covered: Capital One telling a federal judge it closed more than 300 Trump-linked accounts over money laundering concerns, framed accurately as a litigation position rather than a finding, plus the 1.776 billion dollar slush fund and the tax immunity deal at the center of the Todd Blanche confirmation fight. Nuanced News: hackers compromised water systems in twelve states while the President blamed Minnesota, and the Cybersecurity Information Sharing Act expires September 30. Blanche advanced out of committee 12 to 10. Elon Musk authorized up to 120 million dollars for America PAC across eight states including Ohio and Michigan, one year after saying he was done with politics. Plus the ADP jobs miss, 25 states suing over tariffs, the Minnesota nudify app ruling, Iran talks, the stalled Gaza roadmap, Colorado River water cuts, and the measles elimination review. Research on a Dime goes deep on Michigan: who Abdul El-Sayed actually is, his real policy positions, the 49 to 47 result, the immediate unity from Haley Stevens and Mallory McMorrow, the down-ballot picture including Michigan 7 and 10, and why the DSA platform is a separate question from El-Sayed himself. Radell lays out why MAGA is the primary enemy, why DSA is not an ally, and why the money story is really a media attention story. Breakdown in the Public: Supreme Court approval hit a record low 33 percent in Gallup polling, driven almost entirely by Republicans defecting after the Court ruled against Trump. Trump approval sits at 32 to 34 across three polls. Plus new data on who Americans actually consider elite. Good News: global hunger fell below 8 percent for a third straight year, the first at-home tick test launches this month, and the Phoenix Species Project puts 200 million dollars behind 100 critically endangered species. Have a political solution? Share it here: https://www.reddit.com/r/policysolutions/ Standard Resource Links & Recommendations The following organizations and platforms represent valuable resources for balanced political discourse and democratic participation: PODCAST NETWORK Check Out the Podcast Website: https://www.purplepoliticalbreakdown.com ALIVE Podcast Network: Check out the ALIVE Network where you can catch a lot of great podcasts like my own, led by amazing Black voices. Link: https://alivepodcastnetwork.com/ CONVERSATION PLATFORMS HeadOn: A platform for contentious yet productive conversations. It's a place for hosted and unguided conversations where you can grow a following and enhance your conversations with AI features. Link: https://app.headon.ai/ Living Room Conversations: Building bridges through meaningful dialogue across political divides. Link: https://livingroomconversations.org/ UNITY MOVEMENTS Us United: A movement for unity that challenges Americans to step out of their bubbles and connect across differences. Take the Unity Pledge, join monthly "30 For US" conversation calls, wear purple (the color of unity), and participate in National Unity Day every second Saturday in December. Their programs include the Sheriff Unity Network and Unity Seats at sports events, proving that shared values are stronger than our differences. Link: https://www.us-united.org/ BALANCED NEWS & INFORMATION OtherWeb: An AI-based platform that filters news without paywalls, clickbait, or junk, helping you access diverse, unbiased content. Link: https://otherweb.com/ VOTING REFORM & DEMOCRACY Equal Vote Coalition & STAR Voting: Advocating for voting methods that ensure every vote counts equally, eliminating wasted votes and strategic voting. Link: https://www.equal.vote/star Future is Now Coalition (FiNC): A grassroots movement working to restore democracy through transparency, accountability, and innovative technology while empowering citizens and transforming American political discourse. Link: https://futureis.org/ POLITICAL ENGAGEMENT Independent Center: Resources for independent political thinking and civic engagement. Link: https://www.independentcenter.org/ GET DAILY NEWS Text 844-406-INFO (844-406-4636) with code "purple" to receive quick, unbiased, factual news delivered to your phone every morning via Informed (https://informed.now) Check Out the Unfuck America Tour & National Ground Game: https://www.nationalgroundgame.com/ Check Out the CIVICS App to Know More About Your Politicians: https://www.civicpolitics.com Subscribe to the Substack: https://open.substack.com/pub/purplepoliticalbreakdown ALL LINKS https://linktr.ee/purplepoliticalbreakdown The Purple Political Breakdown is committed to fostering productive political dialogue that transcends partisan divides. We believe in the power of conversation, balanced information, and democratic participation to build a stronger society. Our mission: "Political solutions without political bias." Subscribe, rate, and share if you believe in purple politics, where we find common ground in the middle! Also if you want to be apart of the community and the conversation make sure to Join the Discord: https://discord.gg/ptPAsZtHC9

In a shocking turn of events, the Texas Senate race is heating up, and the speaker is sounding the alarm about the rise of socialism among young adults and its connection to the Democratic Socialist Alliance. This episode delves into the alarming trend of young people embracing socialism, and how it's being fueled by a false premise that's being used to justify the ideology. The speaker discusses a recent Gallup survey that shows a significant drop in the number of Americans who view capitalism favorably, with 50% of US adults now viewing it negatively. This is largely attributed to the partisan divide, with Democrats increasingly embracing socialism. The speaker also highlights the Barna report, which reveals that one in three churchgoers prefer socialism, and that this trend is being driven by a lack of biblical worldview among young adults. The conversation also touches on the idea that socialism is being sold to young people as a way to address economic injustices, but in reality, it's a recipe for disaster. The speaker shares a powerful analogy from Doctor Degner, who explains that socialism is like a system that promises to fix people's flaws, but ultimately leads to a worldview where personal sins become systemic ones. This is a concerning trend that Christians need to be aware of, as it's being used to justify a fundamental transformation of America. If you're concerned about the direction of our country and the impact of socialism on our youth, tune in to this episode to hear the speaker's insightful analysis and warning. Follow Carl Jackson:Facebook: https://www.facebook.com/carljacksonradioX/Twitter: https://twitter.com/carljacksonshowInstagram: https://www.instagram.com/thecarljacksonshowWebsite: http://www.TheCarlJacksonShow.comStore: https://CarlJacksonStore.comSee omnystudio.com/listener for privacy information.

Two extraordinary trends are happening in the United States simultaneously. One is that alcohol consumption is declining precipitously. The share of Americans who drink has hit a record low since Gallup started tracking it in the 1930s. In 2004, fewer than 30 percent of Americans under 35 said moderate drinking was bad for your health; now it's 66 percent. The second trend is that marijuana usage has skyrocketed. Per researchers, cannabis has overtaken alcohol and cigarettes as the nation's most popular daily drug. And the impact of that shift has been profound. Today, Derek is joined by Jonathan Caulkins, a drug policy researcher at Carnegie Mellon University, and Beau Kilmer, the codirector of the RAND Drug Policy Research Center. They discuss what is gained and lost in the switch from booze to weed, the ripple effects of marijuana's surge in popularity, and what the legalization of cannabis is doing to America. Subscribe to our YouTube channel here: https://www.youtube.com/@PlainEnglishwithDerekThompson If you have questions, observations, or ideas for future episodes, email us at PlainEnglish@Spotify.com Host: Derek Thompson Guests: Jonathan Caulkins and Beau Kilmer Producer: Victoria Valencia Additional Production Support: Ben Glicksman Learn more about your ad choices. Visit podcastchoices.com/adchoices  Learn more about your ad choices. Visit podcastchoices.com/adchoices

In a shocking turn of events, the Texas Senate race is heating up, and the speaker is sounding the alarm about the rise of socialism among young adults and its connection to the Democratic Socialist Alliance. This episode delves into the alarming trend of young people embracing socialism, and how it's being fueled by a false premise that's being used to justify the ideology. The speaker discusses a recent Gallup survey that shows a significant drop in the number of Americans who view capitalism favorably, with 50% of US adults now viewing it negatively. This is largely attributed to the partisan divide, with Democrats increasingly embracing socialism. The speaker also highlights the Barna report, which reveals that one in three churchgoers prefer socialism, and that this trend is being driven by a lack of biblical worldview among young adults. The conversation also touches on the idea that socialism is being sold to young people as a way to address economic injustices, but in reality, it's a recipe for disaster. The speaker shares a powerful analogy from Doctor Degner, who explains that socialism is like a system that promises to fix people's flaws, but ultimately leads to a worldview where personal sins become systemic ones. This is a concerning trend that Christians need to be aware of, as it's being used to justify a fundamental transformation of America. If you're concerned about the direction of our country and the impact of socialism on our youth, tune in to this episode to hear the speaker's insightful analysis and warning. Follow Carl Jackson:Facebook: https://www.facebook.com/carljacksonradioX/Twitter: https://twitter.com/carljacksonshowInstagram: https://www.instagram.com/thecarljacksonshowWebsite: http://www.TheCarlJacksonShow.comStore: https://CarlJacksonStore.comSee omnystudio.com/listener for privacy information.

Your best people rarely quit in a dramatic moment. They leave a little at a time, and by the time they give notice the decision was made weeks ago. Gallup ties about 75% of voluntary turnover to the manager, and our own national research found that 35% of workers open to manufacturing have never had a single one-on-one development conversation with their manager. You can't keep people you never really talk to. Darcy Eikenberg, executive coach and author of Red Cape Rescue: Save Your Career Without Leaving Your Job, joins Trevor to turn the retention problem around: instead of replacing the people who leave, how do you help a good employee rescue the job they already have? A practical look at employee retention and manufacturing team leadership for plant managers, operations leaders, and frontline supervisors tired of watching good people walk out the door.

What if one of the biggest reasons we're struggling to fight scams is that we don't fully understand the scale of the problem?In this episode of Scam Rangers, Ayelet Biger-Levin welcomes back Ken Westbrook, founder of Stop Scams Alliance and former CIA analyst, to discuss why scams should be treated as a national security threat, and why doing that starts with better data.Ken shares the story behind Stop Scams Alliance's collaboration with Gallup and what the new research reveals about scam victimization in America. The findings paint a troubling picture: roughly one in four Americans report having been scammed, nearly three-quarters of victims say the experience negatively affected their mental health or well-being, and 98% of U.S. adults believe scams pose a threat.The conversation goes beyond the numbers to explore what needs to happen next: the role financial institutions can play in scam intelligence and reporting, how technology and AI can strengthen defenses, the need for greater public-private collaboration, and what it would actually mean to treat scams as a national security priority.In this episode: Why traditional reporting doesn't capture the true scale of scams What the Gallup research reveals about victims and the impact of scams Why financial institutions could play a larger role in scam intelligence How AI is changing both scam attacks and defenses Why stronger collaboration across government and industry is critical Why we need consistent measurement to know whether we're actually making progressLink to the Gallup survey: https://www.gallup.com/analytics/711827/scams-in-america.aspxAbout Ken WestbrookKen Westbrook is the founder of Stop Scams Alliance, a nonprofit bringing together stakeholders across the scam ecosystem to improve how the U.S. prevents and responds to scams. Before founding the organization, Ken spent 33 years at the CIA as an analyst — experience that now shapes his approach to understanding and combating scams as an organized, evolving threat.Stop scams Alliance: https://www.stopscamsalliance.org/About the HostAyelet Biger-Levin is the founder and CEO of RangersAI and host of the Scam Rangers podcast. A fraud and cybersecurity expert with more than 20 years of experience, she has held leadership roles at companies including IBM, RSA Security and BioCatch.Through Scam Rangers, Ayelet brings together experts from financial services, technology, behavioral science, law enforcement and policy to explore how scams work, why people fall victim, and what we can do to build greater scam resilience.www.rangersai.comFollow Ayelet on LinkedIn: https://www.linkedin.com/in/ayelet-biger-levin/

HEADLINES: The New South Wales government has accepted most of the recommendations from the inquest into last year's Bondi Junction stabbing attack. Australians may soon be able to piggyback off a different mobile network if their own provider has left them without service. A parliamentary inquiry has uncovered some shocking reports about one of the country's leading cancer hospitals. A large new study has found men who take a certain medication for erectile dysfunction or prostate enlargement long-term are more likely to develop glaucoma. And Meghan Markle turned 45 this week and marked it with a carousel of images in social media. GET IN TOUCHGot a story, news tip-off, feedback or dilemma?Send us a voice note or email us at thequicky@mamamia.com.au SUBSCRIBER GIVEAWAY: The Out Loud hosts have handpicked their all-time favourite reads and one subscriber is winning the entire 12-book stack. Subscribe to Mamamia here to be automatically entered. Already a subscriber? Don't sweat it, you're already in. T&Cs apply. CREDITSHost: Charlotte Mortlock Audio Producer: Scott Stronach Group Executive Producer: Charlotte Mortlock, Talissa Bazaz & Georgie Page Check out The Quicky Instagram here and our TikTok here Discover more Mamamia podcasts here Did you know some of our shows are now in video on the Apple Podcast app? Make sure your phone is up to date and check it out here! Mamamia acknowledges the traditional owners of the land on which we have recorded this podcast.Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

Andrew Walworth, Tom Bevan and Carl Cannon discuss today's key primaries in Michigan, Missouri, Kansas, Virginia and Washington State. Then, former Secretary of Education and senior advisor with Bellwether Education Partners Jim Peyser joins the guys to discuss what is behind the “Mississippi Miracle,” the remarkable improvement in reading and math by Mississippi students, as evidenced in the latest National Assessment of Educational Progress report. Next, they talk about the “billionaires' tax” in California, which was endorsed this weekend by the California Democratic Party over the objections of Governor Gavin Newsom and Democratic gubernatorial candidate Xavier Becerra. And finally, they discuss a new Gallup poll that shows Americans approval of the Supreme Court is at record lows, while Kamala Harris this weekend endorsed the idea of expanding the court from nine to 13 members. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

We explore the state of education just before the rise of AI, compare it to today, and extrapolate into the future. SourcesTyler Jagt, "My Students Can't Read," Chronicle of Higher Education, 2026. NAEP Long-Term Trend AssessmentPew Research, "Reading for fun has become less common," 2021.James S. Coleman et al., Equality of Educational Opportunity ("The Coleman Report"), US Dept. of Health, Education, and Welfare, 1966Kathryn Borman & Monique Dowling, Teachers College Record, 2010.Dan Goldhaber, "The Mystery of Good Teaching," Education Next, 2002 Steven Rivkin, Eric Hanushek & John Kain, teacher-effects study, Econometrica, 2005. Xitao Fan & Michael Chen, parental-involvement meta-analysis, Educational Psychology Review, 2001 World Bank, "Vietnam's Human Capital: Education Success and Future Challenges," 2020 (PISA science outperformance on low per-pupil spend). OECD, "Does Money Buy Strong Performance in PISA?", PISA in Focus No. 13, 2012 (no score/spending relationship above ~$35k cumulative per-student spend). NCES, Digest of Education Statistics 2023, Table 236.55 (US per-pupil spending, $6,873 → $17,495 real dollars, 1970-71 to 2020-21)Boston Globe, 2001 coverage of Harvard grading ("laughing stock of the Ivy League"; 91% of seniors graduating with honors). Harvard Crimson, Oct. 5, 2023 (~79-80% of 2020-21 grades in the A range)Anemona Hartocollis, "Harvard Students Skip Class and Still Get High Grades, Faculty Say," New York Times, Oct. 6, 2025. Gallup, confidence-in-higher-education tracking, July 2023 and July 2024 releases (57% in 2015 → 36% in 2023/24; Republican confidence ~56%→~19-20%, Democratic decline much smaller)Pew Research, Aug. 2019 (share saying colleges have a negative effect on the country, 26%→38%, 2012-2019, driven almost entirely by Republicans/leaners)Challenge Success (Stanford, Denise Pope), Fall 2018 surveyMark Galloway, cheating in advantaged-community schools, Ethics & Behavior, 2012Stacy Dale & Alan Krueger, "Estimating the Payoff to Attending a More Selective College," NBER WP 7322, Aug. 1999; Quarterly Journal of Economics, 2002. Follow-up: NBER WP 17159, Jun. 2011; Journal of Human Resources, 2014.ProPublica & The Chronicle of Higher Education, "The Newest College Admissions Ploy: Paying to Make Your Teen a 'Peer-Reviewed' Author," May 2023.Nataliya Kosmyna et al., "Your Brain on ChatGPT," MIT Media Lab, arXiv:2506.08872, 2025. Hao-Ping (Hank) Lee et al., "The Impact of Generative AI on Critical Thinking," CHI 2025, peer-reviewed, n=319. Turnitin AI-detection data, 2023-2026 (>80% AI-written flags: ~3% early 2023 → ~15% early 2026).Inside Higher Ed / Generation Lab Student Voice survey, Aug. 2025Rose Horowitch, "The Elite College Students Who Can't Read Books," The Atlantic, Oct. 2024. "Hilarius Bookbinder," "The Average College Student Is Illiterate," Persuasion, Mar. 2025. Tyler Jagt, "My Students Can't Read," Chronicle of Higher Education, 2026. NAEP 2024 12th-grade reading assessment, released Sept. 2025 (lowest since assessment began). Erik Brynjolfsson, Bharat Chandar & Ruyu Chen (Stanford Digital Economy Lab), "Canaries in the Coal Mine?," Nov. 2025, ADP payroll dataIndeed Hiring Lab, entry-level software postings2U, coding-bootcamp partnership shutdown, Dec. 2024.Southern New Hampshire University, bootcamp closure, 2023, citing AI adoption.World Economic Forum, Future of Jobs Report, 2023 & 2025 McKinsey Global Institute, "Skill Shift," 2018 Stefan Bauschard, "Education is a Wicked Problem in AI" Brian Miller, "Farewell, Peak Literacy, We Hardly Knew You," Front Porch Republic, Nov. 2023. James Marriott, The New Dark Ages: The Death of Reading and the Dawn of the Post-Literate Society Hosted on Acast. See acast.com/privacy for more information.

A new Gallup poll indicates that Americans are more skeptical of AI in 2026, despite being more familiar with it. The Navy didn't just roll out AI. It rallied people around it. These expert opinions were written by Fast Company and Ash Kumra. Learn more about your ad choices. Visit podcastchoices.com/adchoices

The episode identifies a core structural shift in the managed services industry: the decoupling of service measurement from observable work due to the adoption of autonomous service desk technologies. This shift is driven by the introduction of automation platforms—such as Atera's Robin, Acronis AI Service Desk, and NinjaOne's endpoint automations—that eliminate or obscure traditional service tickets, shifting operational baselines and the metrics used for client billing and value demonstration. Evidence of this shift includes Atera guaranteeing that within 90 days, its Robin system will autonomously resolve half of Tier 1 and complex Tier 2 tickets, enforced via commercial contract terms. The company builds baselines by requiring six months of client ticket history before implementation. Supporting data from Channel EDE and AT&T show that automation can suppress visible ticket volume while inflating claims of efficiency and avoided incidents, independent of provider-side measurement. According to Dave Sobel, AT&T tracked autonomous incident handling since 2018, but most MSPs lack comparable historical data. Further developments reinforce this transition: NinjaOne integrates with ServiceNow to create incidents without human intervention, while Ingram Micro channel feedback observes partners aiming to increase business without staff growth. Broader labor market data and user sentiment surveys reveal that AI-backed automation does not show aggregate productivity gains (Stanford Economic Policy Institute) and is generally viewed with skepticism: Gallup and Apistevist data highlight declining confidence in corporate AI deployments and increased worker nostalgia for pre-automation workflows. The operational impact for MSPs centers on data ownership, measurement accountability, and renewal risk. As traditional records like tickets are eliminated or fragmented, providers who lack their own carefully preserved baselines may find themselves forced to rely on vendor-generated claims for demonstrating avoided work or cost savings. This creates exposure to contract risk, compromised pricing leverage, and governance complexity—especially if ticket-level detail, taxonomy, or supporting operational notes are lost in platform migrations or poorly configured retention policies. According to Dave Sobel, preparing by exporting comprehensive ticket histories, freezing operational taxonomies, and independently counting non-ticket sources of demand are now urgent requirements to maintain accountability and defensible value in future client negotiations. 00:00 The Ticket Is Disappearing  03:45 You Can't Invoice an Absence  07:20 The Client Already Stopped Believing 11:18 Why Do We Care?    Supported by: ScalePad

AlabamaExecution date set for August 13th for child murderer Jeremy WilliamsSen. Britt supports bipartisan bill that further sanctions RussiaNew State law for student drivers goes into effect on August 1stAG Marshall joins 43 other states urging rule change on prediction marketsDoug Jones disses on the CHOOSE Act and $ going to private schoolsNationalPresident Trump says Board of Peace has reached an agreement with HamasDOJ uncovers $350M in fraud in 7 southeastern statesIowa senator exposes the use of aborted baby parts during Covid research, wants Anthony Fauci to be charged by DOJJournalist corners comms director for Mitch McConnell, gets zero answer on the senators health condition.Gallup polls Americans and finds over half do not trust the elections process

Send us Fan MailThe countdown to the first day of school is on.If you're like most school leaders, your to-do list is growing by the hour. Schedules, staffing, professional development, open houses, and a flood of emails can make August feel like a race to simply get everything done.But what if the key to a successful school year isn't checking off more tasks?In this episode of The Empowered Educator Show, Dr. Mel challenges a common mindset that keeps many principals stuck in reactive leadership long after the first bell rings. Instead of focusing on everything that needs to be completed before students arrive, you'll discover a different way to prepare—one that can shape the entire school year.Through the lens of the Leader • Logistics • Learning framework, Dr. Mel shares practical insights, leadership stories, and research-backed principles that will help you think differently about the weeks leading up to the start of school.If you want to lead with greater clarity, confidence, and purpose this year, this episode is for you.In This EpisodeWhy being busy isn't the same as being preparedThe hidden mistake many school leaders make every AugustThree simple shifts that can have a lasting impact on your school cultureResearch-based leadership insights that support sustainable successA biblical perspective on leading with wisdom and intentionalityA practical challenge you can implement before the first day of schoolResources MentionedHorng, E. L., Klasik, D., & Loeb, S. (2010). Principal Time-Use and School Effectiveness. American Journal of Education, 116(4), 491–523.The Wallace Foundation. (2021). How Principals Affect Students and Schools: A Systematic Synthesis of Two Decades of Research.Gallup. State of the Global Workplace (latest editions).ScriptureProverbs 24:3 – "By wisdom a house is built, and through understanding it is established."Support the showMillion Podcasts ListDownload Upside and use my code MELINDA35278 to get 15¢ per gallon extra cash back on your first gas fill-up and 10% extra cash on your first food purchase!Download Fetch app using this link, submit a receipt and we'll both score bonus points.Calling All Educators! I started a community with resources, courses, articles, networking, and more.I am looking for members to help me build it with the most valuable resources.I would really appreciate your input as a teacher, leader, administrator, or consultant.Join here: Empowered Educator CommunityBook: Educator to Entrepreneur: IGNITE Your Path to Freelance Successemail: melinda@empowereducator.com

Photo: Kaiser Canyon fire in Washington, July 2026. (Courtesy Inciweb / USFS via National Interagency Fire Center / Facebook) Wildfires continue to burn across the U.S, including many areas of Indian Country. In Washington state, the largest fire is the Kaiser Canyon Fire which is burning through the Colville Indian Reservation. As of late Tuesday, the fire surpassed 126,000 acres and was 16% contained. In an update Tuesday morning, Keith Kelley, operations section chief for Northern Rockies Unit 2, shared the day's plan of attack against the Kaiser Canyon Fire. More than 1,000 personnel are committed to the effort. “And we do have resources looking at some additional containment lines, trying to find places to what we call pinch in the fire, to keep it from spreading. So we’re kind of like checking it up. So we’ll put some dozer lines in, and the fire will slow its progression, and then eventually it will it will kind of continue to move. But it gives us an opportunity to put some dozer lines and put in some containment lines so we can stop that progression as it moves to the north. So certainly have resources in there. We’ll continue to do that.” The Kaiser Canyon Fire started July 16 when a lightning strike hit the Nespelem area on the Colville reservation. Meanwhile, more than a million acres have burned in Oregon. The Confederated Tribes of Warm Springs has closed its tribal government due to Level Three evacuations caused by the Bench Fire, which at last check had burned more than 45,000 acres. The Confederated Tribes of the Warm Springs Reservation have set up a Wildfire Recovery Fund for volunteers and supplies to help those affected by the fires. Chris Deschene, left, and Emily Ellison are the two vice-presidential candidates in the upcoming 2026 Navajo Nation election. (Courtesy U.S. Department of Energy / Emily Ellison for Navajo President 2026 / Facebook) Following the Navajo Nation presidential primary last week, the top vote-getters have named their vice presidential picks. KJZZ's Gabriel Pietrorazio has details. Navajo Nation Council Speaker Crystalyne Curley was first to announce her ticket in Window Rock, Ariz. “Excited to share this moment with you. I know people online were very anxious.” She picked former Arizona Democratic state lawmaker Chris Deschene. “Throughout my career, I know what it's like to be an underdog.” In 2014, the Marine Corps vet vied for the very seat Curley is now seeking, but after placing second in that primary, Deschene was disqualified, in part, because of Curley's November opponent – Farmington attorney Justin Jones. “This is where I grew up.” As for Jones, he returned to Rock Point, Ariz. to name his running mate. Emily Ellison is in charge of the Gallup nonprofit Battered Families Services. “I want to thank the committee for this opportunity to serve our Navajo people.” Billy Kirkland, Assistant Secretary for Indian Affairs, visits Choctow Central High School, one of several Bureau of Indian Education (BIE)-funded schools with a graduation rate above 90%. (Courtesy BIE / Facebook) The Bureau of Indian Education (BIE) says 21 of the high schools they fund achieved graduation rates of 90% or greater in 2025, in what the agency calls an “unprecedented milestone”, reflecting their commitment to student achievement, college and career readiness, and workforce development. The 21 schools include Kickapoo Nation School, Santa Fe Indian School, Shoshone-Bannock School, Navajo Preparatory School, and Choctaw Central High School. The BIE's overall graduation rate reached 79%, the highest in its history. The BIE is aiming for a rate of 91% by May 2030. The Associated Press reports that, beginning in 2018, the BIE began standardizing data collection methods, which has helped improve data accuracy. While Assistant Secretary of Indian Affairs Billy Kirkland (Navajo) said that these gains reflect the Trump administration's commitment to Native American students, there are concerns that the administration's changes to the BIE — including the planned dissolving of the U.S. Department of Education and further fallout from DOGE cuts — could undermine progress and prevent struggling schools from improving students' performance. Get National Native News delivered to your inbox daily. Sign up for our daily newsletter today. Download our NV1 Android or iOs App for breaking news alerts. Check out today’s Native America Calling episode Wednesday, July 29, 2026 – Southeast Alaska tribes closer to land designation more than a half century after being locked out

Discover how understanding your strengths can transform communication, teamwork, leadership, and career growth. Gallup-certified coaches share how investing in natural talents can boost engagement, fulfillment, and overall success.

Jim Harter, PhD discusses his book "It's The Manager" and Gallup research that finds managers and team leaders are the single biggest factor in your organization's success. Jim is Chief Scientist for Gallup's workplace management practice. He is coauthor of the New York Times bestseller "12: The Elements of Great Managing," and "Wellbeing: The Five Essential Elements," also a New York Times and Wall Street Journal bestseller.  Host, Kevin Craine Do you want to be a guest? https://Everyday-MBA.com/guest Do you want to advertise on the show? https://Everyday-MBA.com/advertise

The dominant structural shift highlighted is the migration from flat-rate software subscriptions to usage-based billing models within AI and cloud services. Notably, vendors such as Anthropic, OpenAI, and GitHub have transitioned services off fixed-rate subscriptions toward consumption-based pricing, while Microsoft has introduced new premium tiers that embed AI and security features above the base offering. This shift introduces hidden metering within per-seat pricing, creating less transparency for small- and mid-sized clients regarding actual AI consumption and cost accountability, as documented in research referenced by Forrester. A consequential finding is that budgets for software and AI are reportedly rising by 80% among business and technology decision-makers surveyed by Forrester, yet most organizations are only at the early stages of genuine AI integration. According to IDC research sponsored by SAS, only 9% of small- and midsize businesses (SMBs) have fully embedded AI in daily operations, while about 70% remain in pilot or opportunistic phases. Moreover, a Gallup survey found that 52% of American workers now use AI on the job, but depth of adoption remains limited, with many implementations running only at a superficial level. Supporting developments include mounting evidence that cloud computing's historical promise of near-infinite capacity is eroding. Computer Weekly reports that Microsoft's cloud elasticity is encountering real-world constraints, leading to capacity limits and service rollbacks. Further, regulatory intervention is escalating: New York state has implemented a moratorium on new large-scale data center permits, reflecting mounting political resistance and public distrust toward large technology providers. Meanwhile, increased capital spending by AI vendors is pressuring margins and potentially driving future price adjustments or investment cutbacks across the sector. For MSPs and IT leaders, these trends increase operational complexity and expose gaps in spend governance and accountability. As metered AI and hybrid pricing models proliferate, tracking real usage and managing associated costs becomes more challenging, especially when AI charges are masked within bundled per-user pricing. Providers must develop discovery and reporting practices to quantify hidden AI spend, inventory usage meters within client stacks, and establish pricing models that properly segment one-time discovery from ongoing measurement. Failure to implement these controls exposes both MSPs and clients to unplanned overages, margin loss, and audit risk as consumption scales invisibly under the current invoice structure. 00:00 Your Subscription Became a Meter  04:14 Compute Ran Out of Room 06:51 Nine Percent Ever Finish 09:51 Why Do We Care?  Supported by:  Guardz ScalePad   

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.volts.wtf/subscribeData center opposition has gone from nonexistent to organized in about two years, roughly 120 moratoriums across 38 states, and it does not track proximity: Gallup finds 70% of Americans oppose a data center near them, while only 8% of opponents live near one. On this episode of Volts, David Roberts joins Energy Empire hosts Jigar Shah and Jamie Nolan, along with Arnab Pal of Deploy Action, for a crossover conversation, and his argument is that everyone is solving the wrong problem. The hyperscalers could buy their way to consent for a rounding error, batteries in basements, solar on roofs, funded schools, lower bills, and they refuse, which David reads as a symptom of low social trust that no amount of better modeling touches. “This is not a technocratic problem that you can just solve with a few switches,” he says. Thirty-six governors go to the ballot this fall having to answer for it.Chapters:00:00 Intro: a Volts and Energy Empire crossover01:25 Has the AI case been made? Energy vs. AI as the real revolution04:23 The backlash by the numbers, and hyperscalers' botched PR08:20 Animal spirits, low social trust, and the information environment12:46 Enshittification, lost jobs, and why governors still want data centers15:50 The local playbook: schools, bioswales, batteries in basements17:18 Bespoke industrial rates without setting a bad precedent22:33 How utilities earn: spend-to-earn, the distribution black box, efficiency30:11 Gendering the grid: gas as firm, renewables as soft37:57 NERC's level-three alert and the case for more batteries39:29 Both/and: distributed capacity as serious supply45:33 Abundance's missing half: state capacity, staffing, NEPA48:55 The midterms: 36 governors and the politics of affordability53:33 Hope vs. fear: the Mamdani lesson and the information environment

Donald Trump is going before the nation Thursday night to make a case about election integrity. We don't know exactly where or how many places he's going to be shown, but we do know what the case is supposed to be. And the difference between what he says and how he says it is literally the difference between 80% of America agreeing with him and 20% of America agreeing with him.What Trump really wants to do is demonstrate that now that he's in control of the federal government, all the things he said about the federal government are indeed true. He wants to reveal elements of the secret workings of the deep state that he was previously unable or unwilling to reveal in his first term. According to Politico, Trump is expected to declassify previously unseen intelligence during the address, and White House aides are reportedly debating exactly how far they should go. Senior staffers have prepared a version they believe is supported by the available intelligence, while others want Trump to make broader claims.Politics Politics Politics is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Trump also wants to pass the SAVE America Act. The current House-passed version has two major requirements: documentary proof of citizenship when somebody registers to vote in a federal election, and photo identification when that person casts a federal ballot. The Senate doesn't currently have the votes to pass it under normal rules unless Republicans suspend the filibuster or find another way to attach it to legislation that can pass. Whether an election law provision could survive the Senate's reconciliation rules is a different story for a different day.The biggest, juiciest kernel inside the legislation is voter ID. That's a huge political opportunity for Republicans and a problem for elected Democrats. If Trump were to get on television and say we need voter ID, we're going to include it in the SAVE America package going to the Senate, and the reason is simple — only citizens should be able to vote — that's overwhelmingly popular. Democrats will say it's voter suppression. They'll say women who change their names could be disenfranchised because their current identification doesn't match what's on their birth certificates. Well, Trump could answer that by putting money in the bill to expedite any new identification and documentation necessary to comply with the SAVE America Act, especially for women who've taken their husband's names.That's the layup. Pew found in August 2025 that 83% of Americans supported requiring government-issued photo IDs to vote, including 95% of Republicans and 71% of Democrats. Pew measured the issue again in January 2026: 80% supported voter ID, with 58% strongly favoring it and another 22% somewhat favoring it. Gallup found essentially the same thing, with 84% of Americans supporting photo identification at the polls. In politics, that's called a no-brainer layup. Put the screws to him if you're the GOP.But guess what? He ain't gonna. Because Trump also wants to expose what he considers the nefarious deep state, and with that comes the greatest bugaboo of his political life: the 2020 election. If Trump goes on television and says the 2020 election was manipulated by China, Democrats, Brad Raffensperger, or anybody else, he's no longer operating within the overwhelming support of the American public. Talking about 2020 and manipulated vote counts is, at best, red meat for the base. At worst, it's exactly what Democrats want to be talking about, because it takes Trump further away from the current moment. Sometimes you get the 80-20 layup, and sometimes you get the long, meandering “Democrats plus China plus Brad Raffensperger ruined my life.”Chapters00:00:00 - Intro00:03:38 - Trump's Primetime Speech00:12:02 - Iran00:15:59 - Israel and Democrats00:20:20 - NYS Data Centers00:29:23 - Interview with Dave Levinthal01:03:47 - Wrap-up This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.politicspoliticspolitics.com/subscribe

Episode 2827 - Vinnie Tortorich and Chris Shaffer discuss lowering the bar when identifying obesity, smoking weed, and the effects of less sleep. https://vinnietortorich.com/2026/07/lowering-the-bar-episode-2827 PLEASE SUPPORT OUR SPONSORS Pure Vitamin Club Pure Coffee Club NSNG® Foods VILLA CAPPELLI EAT HAPPY KITCHEN YOU CAN WATCH THIS EPISODE ON YOUTUBE - @FitnessConfidential Podcast Vinnie's workout videos are available to purchase! Choose from a 2-day, 4-day, or 6-day workout–or buy all three at a discount! TO PURCHASE VINNIE'S WORKOUT VIDEOS, CLICK THIS LINK: https://vinnietortorich.com/workout Lowering the Bar Vinnie has had a wonderful week. (3:45) He spent time with his best friend since childhood, and they ended up chatting about Jim's health. Jim is ready to make some changes. The obesity rate has been coming down from its all-time high. (19:00) These metrics were taken between 2024 and 2025. However, childhood obesity is 20%, but in the 1970s, it was 3 or 4%. But what is considered obese has been redefined. (24:00) Lowering the bar doesn't make things better. Also, the numbers were gathered by Gallup (people self-reporting), not from doctors. The introduction of GLP-1s is credited for these numbers, but that may not be accurate. (30:00) However, they still don't seem to be a long-term solution because people abuse GLP-1s. Sleep has more impact on weight gain than you may think. (40:30) Less sleep can cause more cravings, among other things. Holy crap, we spent money on this study? (48:00) Result: Smoking weed is bad for your health. Daily smoking of weed holds the same risk of lung cancer as daily smoking of cigarettes. It's not the substance; it's the inhaling of smoke. (53:00) Check out the Aletha Hip HookTM that Vinnie uses to reduce pain and increase mobility: You can purchase your own through Vinnie's website here: https://vinnietortorich.com/hook Anna's products are now linked to PureVitamin Club's website. Look under the "Food and Snacks" section to purchase them there, too. https://purevitaminclub.com/collections/food-and-snacks Vinnie hopes to add other products as well, all of which will be health-related. The NSNG® VIP GROUP IS NOW CLOSED AGAIN AS OF SUNDAY, MARCH 15TH Anna's next cookbook, Eat Happy Cocktail Hour, is filled with cocktails, mocktails, and appetizers and is available for pre-order right now. If you pre-order, you'll get bonus goodies! You can preorder from a wide variety of booksellers at https://eathappycocktailhour.com/ Please save your receipt from wherever you preorder; you'll need it for your bonuses! Physical Release Date is October 2026 You can book a consultation with Vinnie to get guidance on your goals. https://vinnietortorich.com/phone-consultation-2/ More News Serena has added some of her clothing suggestions and beauty product suggestions to Vinnie's Amazon Recommended Products link. Self Care, Beauty, and Grooming Products that Actually Work! https://www.amazon.com/shop/vinnietortorich/list/3GPVU29UHHPMY?ref_=aipsflist Don't forget to check out Serena Scott Thomas on Days of Our Lives on Peacock. "Dirty Keto" is available on Amazon! You can purchase or rent it here.https://amzn.to/4d9agj1 Please make sure to watch, rate, and review it! Eat Happy Italian, Anna's second cookbook, is available! You can go to https://eathappyitalian.com You can order it from Vinnie's Book Club. https://amzn.to/3ucIXm Anna's recipes are in her cookbooks, on her website, and on Substack —they will spice up your day! https://annavocino.substack.com/ PURCHASE DIRTY KETO (2024) The documentary launched in August 2024! Order it TODAY! This is Vinnie's fourth documentary in just over five years. Visit my new Documentaries HQ to find my films everywhere: https://vinnietortorich.com/documentaries Then, please share my fact-based, health-focused documentary series with your friends and family. Additionally, the more views it receives, the better it ranks, so please watch it again with a new friend! REVIEWS: Please submit your REVIEW after you watch my films. Your positive REVIEW does matter! PURCHASE BEYOND IMPOSSIBLE (2022) Visit my new Documentaries HQ to find my films everywhere: https://vinnietortorich.com/documentaries FAT: A DOCUMENTARY 2 (2021) Visit my new Documentaries HQ to find my films everywhere: https://vinnietortorich.com/documentaries FAT: A DOCUMENTARY (2019) Visit my new Documentaries HQ to find my films everywhere: https://vinnietortorich.com/documentaries