Podcasts about Rosenblatt

Brian shared his memories of being at Rosenblatt Stadium. Also, Mike and Brian dive into the difference between Rosenblatt and the Chuck.

Send us Fan MailWe head to Omaha with two angles you can't ignore: the Jello Shot Challenge at Rocco's and a Texas baseball family living out a long-shot dream. Pat McEvoy breaks down how the shot count turns into real charity, then Eric Borba shares the full-circle moment of watching his son Casey reach the College World Series stage. • Why Omaha feels like a baseball pilgrimage from Rosenblatt to Charles Schwab Field • How Rocco's Jello Shot Challenge started and why it exploded on social media • Where to go for first-timers and what makes downtown Omaha work • How the challenge raises money for charity, including food banks and veterans support • Thoughts on reseeding and why the bracket should play as-is • Which fanbases are built to win the shot race if they stay late • Eric Borba's COVID-era detour that reshaped recruiting and exposure • How Texas entered late and what sealed the commitment • What it means to have lineup depth when a proven bat hits eighth • The Disch-Falk outfield traditions that turn fans into family • A father-son story that makes Omaha hit different Follow us on each of our social media platforms and subscribe to us for free on our YouTube page. Support the showPlease like and follow each of Stories Inside the Man Cave Podcast social media links on Facebook, Twitter, YouTube, Instagram, and Tik Tok.

Twenty-five years ago, Roger Rosenblatt published the national bestseller Rules for Aging, a wry, witty guide to growing older. Not one to rush things, Roger's sequel, More Rules for Aging will be out this spring. On May 21, he will sit with Joy Behar and Alan Alda to talk about the rules in general, and as they apply to their own lives. Join us with good old friends as they consider the gifts and difficulties of one's later years, and tell hilarious, moving stories about three wonderful lives.

[REBROADCAST FROM May 18, 2026] In the new acclaimed Broadway play "Giant," the beloved children's author Roald Dahl is forced to confront the consequences of a book review he wrote that has been interpreted as antisemitic. Dahl is confronted by Jessie Stone, a woman working for his publishing company who is sent to help clean up the mess. Aya Cash, who plays Stone, and playwright Mark Rosenblatt discuss "Giant," up for 4 Tony Awards. Cash and Rosenblatt are both nominated.  Photo by Joan Marcus Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Alan revisits a conversation with his old friend to compare notes on staying happy when old, as Roger's new book, More Rules for Aging: Making the Most of Your Ridiculous, Wondrous Life, hits the bookshelves. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this midseason finale episode, Neal talks with Long Island Chess Club regular Steve Rosenblatt for a wide-ranging conversation on adult chess improvement. The two debate whether YouTube videos or Chessable courses are more effective for gaining rating points, while also diving into tournament psychology, study habits, content overload, and the realities of balancing chess with a demanding career. Steve, founder and CEO of a recruiting firm, brings the perspective of a serious adult competitor who climbed to nearly 1950 USCF without pretending chess is a full-time job.

In the new acclaimed Broadway play "Giant," the beloved children's author Roald Dahl is forced to confront the consequences of a book review he wrote that has been interpreted as antisemitic. Dahl is confronted by Jessie Stone, a woman working for his publishing company who is sent to help clean up the mess. Aya Cash, who plays Stone, and playwright Mark Rosenblatt discuss "Giant," up for 4 Tony Awards. Cash and Rosenblatt are both nominated.  Photo by Joan Marcus Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Yesterday saw the Tony Awards nominations being revealed - in a great moment for UK theatre, with 41 nominations. We chat to producer Sonia Friedman (Oedipus), star Lesley Manville (Oedipus) and writer Mark Rosenblatt (Giant) about the success of their respective shows – Friedman also reflected on a very exciting period coming up for her company as it prepares to open a wave of new productions. Hosted on Acast. See acast.com/privacy for more information.

“Delegating knowledge is not the same as delegating wisdom. You learn by experience, and if you don’t have any experiences…you will get cognitive atrophy.” –David Vivancos About David Vivancos David Vivancos is an AI, data, and neuroscience serial entrepreneur, having cofounded five startups since 1995. He is a frequent keynote speaker and is the author of six books, including the Artificiology series. Website: vivancos.com LinkedIn Profile: David Vivancos What you will learn Why embracing advanced AI is crucial for human progress How shifting from digitization to automation and datification redefines value The evolving distinction between human-acquired and AI-generated knowledge How to avoid cognitive atrophy and actively exercise your mind alongside AI What cognitive flourishing means in a world of widespread AI augmentation Ways AI can transform and personalize education across all levels The importance of coexistence training as we prepare for AGI's societal integration Why rethinking human identity, humility, and social structures is essential for a future with machine citizens Episode Resources Transcript Ross Dawson: David, it is wonderful to have you on the show. David Vivancos: Thank you very much, Ross. Glad to be here. Ross: So you have a more developed, or some would say, extreme view of the relative role of humans plus AI. I’d love to dig into where you think things are going, and how we can best respond. Perhaps the starting point is, you say that we should not be resisting or pushing back. We should fully embrace the shift towards very high levels of AI capability, or at some point, AGI. David: Yeah, that’s fully my point. I think we are in a moment in history where we are really building this technology that one day is not going to be a technology anymore. So, the sooner we start to embrace it, to teach it, and to be really in sync with what we are creating day by day, the better off we will be. So yes, my point of view is that we should embrace it. We should start building as soon as possible. We should fix most of the problems that humans have had over the last millennia, and some of these problems could be solved by using AI. So basically, our “fourth brain”—we have the three-part brain, but in reality, there’s only one brain—this fourth brain, AI, will help us solve all of these issues. So yes, it’s an opportunity. Ross: Yes. I mean, I think there’s always two sides—as in, every opportunity has a challenge, every challenge has an opportunity. So I always think we need to acknowledge challenges and focus on opportunities. I think we’ll get onto that in discussing some of the cognitive implications. You have a series of books which have really told the story over time around this. One of them was “Automate or Be Automated.” This idea of saying, well, there are things which machines, in the broader sense, can do in automating things. So, how would you frame that now, in terms of what it is that can be automated, and how do we position ourselves relative to that? Where do machines start to do what humans have done? David: Yep. I’ve been in this business of trying to build the impossible for the last 30-plus years. “Automate or Be Automated,” the book you mentioned, is from about six years ago. When I started creating and building technology, also about VR and many other things, about 30 years ago, the first companies were internet companies. Back then, what we did is what people now call digitization. But over the last 20–25 years, what we’ve mostly been doing is datification—gathering data and using that data for companies to grow and to understand what happens in the world. But over the last maybe 10 or 11 years, what I call the new golden age of AI, we are starting to build the capabilities to use that data to really build algorithms. Once we have that, we can start to automate, and with this automation, basically what we regain is time. I think time is our most precious asset, along with health and the people we love. Being able to stop doing these repetitive things over and over and put a machine to do that is a fundamental trait for humans. That book, six years ago, was about building a methodology of what can be automated in the digital world, but also in the physical world. That has changed over the last year and a half with the physicality of AI—humanoid robots. I was invited last year to attend the first humanoid Olympia in Greece, in Olympia, the place where 2,800 years ago, humans started to compete. We’ve just seen this week the explosion of the new race, for example, of the half marathon in China, where robots already beat the human mark. So yes, with automation, you need to see what you are doing, and if you are repeating anything, you can try to see if that can be automated by using an agent, by using the cloud, by using a robot—whatever. So yes, we should regain our time and automate, or be automated. It’s all about that. Ross: Yeah. I think people understand the automation thesis. It’s obviously not new—we’ve been automating things in various ways for centuries, at an increasing pace. Your following book was “The End of Knowledge.” This is an interesting framework, starting to get to cognition. The idea is that knowledge is built on experience of whatever kind, whether that’s just in data or otherwise. Obviously, humans use data just as much as machines. But where this starts to become a distinction, as well as a complementarity, is between AI-embedded knowledge and human knowledge. So why is it “the end of knowledge”? David: Yeah, that’s a really great question. It came as an epiphany for me. That book is from about three years ago. I’ve also been involved, of course, in building AI and AGI algorithms over the last 20 years. We started using GPT models before they became can across, but the GPT moment, a year before that, really marked the difference—when we started to be able to use AI in a very seamless way to regenerate and process knowledge. That book, “The End of Knowledge,” came from the realization that we are starting to delegate the production and understanding of knowledge to machines. That’s a critical shift in human history, because through history, humans have needed and used knowledge a lot. Knowledge is power. The more knowledge you have that others don’t, the more advantages you have to do whatever you want. That started to change back then. Now, what people call the “dead internet theory” is basically some of the things I expressed in that book earlier, because we are starting to generate more knowledge. In fact, we’ve already passed the point where most of the human-written knowledge since the printing press has been surpassed by the amount of knowledge we can create using AI. Myself, for example, I started learning to code when I was young. I’ve coded in more than 25 languages and written over a million lines of code in my life. That same number of lines of code, I might now write in the last couple of weeks. So as you can see, you have 40-plus years of your own life in a week. That’s why “the end of knowledge” means that the human capability to gather knowledge and to be knowledgeable about whatever you want can now be delegated to machines. That book marked the difference and started a new field that I now call artificiality. I didn’t know that when I started writing it, but I started this path of trying to see what happens when you delegate some of the main capabilities of your mind to a machine. Ross: Yeah, and I’d like to come back later to the themes of artificiality, machine citizenship, and the societal value we attribute to machines. But I want to start digging into the cognitive piece here. One of the points you make is that we do need to avoid cognitive atrophy. You say we need to have cognitive exercise in order to avoid cognitive atrophy—obviously, a strong analog to the physical world. We need to collaborate with others and with machines to do that. I’d love to get more specific around that. What is the nature of cognitive exercise that will avoid cognitive atrophy, which will enable us to keep our cognition refined and even improving? David: Yeah, that’s a fundamental piece. When we start to delegate all these things to machines, the easy thing to do—and probably the oldest human brain capability—is to not do it yourself. You just delegate everything, and you basically become like in the movie “Idiocracy,” which played out quite well what could happen if we do that. The thing is, with the current AIs—even with the latest releases, like DeepSeek and GPT-5.5—everything is changing quite fast. But even with those AIs, you still need to be in the loop. It’s good if you stay in the loop. I think it’s fundamental. Use the technologies—the AIs, I always call them in plural because there are many—and use as many as you can, but you should still be in the loop, at least for now. Maybe for a couple of years or months, I don’t know exactly, but for a while, you still need to have your hands on the wheel. If you use most of them and get all the information from all these AIs, as a human you need to understand the bias, because all AIs are going to be biased. We all know humans are biased; there are no unbiased humans. The same happens with AIs. But if you are in charge and have that council of intelligences, you can start to grasp what each one is doing. I use about 20 of them every day and get different sets of answers in small batches. You can start to see where they come to consensus and where they differ. So, to avoid cognitive atrophy, if you use AIs to keep yourself in the loop and apply your human curiosity—I don’t even say creativity, because creativity is also being widely delegated to machines—but human curiosity and other things that are still hard to embed in LLM models, you can still add a lot of human value. That’s where, to avoid cognitive atrophy, you should use AIs, but use them with your human in the loop. Ross: So, what specifically, what’s your advice to someone who sees that they’re using LLMs and getting lazy in their thinking? What should specifically they do if they notice their brains are getting lazy? David: They should differentiate between simple questions—where you look for something you need quickly—and other things that should make you think. Delegating knowledge is not the same as delegating wisdom. You learn by experience, and if you don’t have any experiences and you delegate not only knowledge gathering or creation, but also the experience itself, then you will get cognitive atrophy. So, understanding this difference and using knowledge to think is really the key point. It’s not just asking for something simple, but for more complex things, you should still add your thoughts. When you talk to an AI or AIs, it’s basically a conversation. It shouldn’t be, in most situations, just a one-way communication. It’s fundamental to keep this line of communication open, so you can keep feeding your brain with information and other activities, and gather wisdom with that. Ross: I guess this goes to another phrase you use—cognitive flourishing. There is absolutely the potential for us to think bigger, better, broader, and in more refined ways than we have in the past using LLMs. But that’s not the default path for most people. Many people start to fall into that trap, so there is a divide. We need this metacognition. We need to be aware of what we are doing and at what level we are working with the LLMs. Maybe paint this picture of cognitive flourishing. What is the positive? How far could we go in terms of potentially improving, augmenting, and letting out our cognition blossom? David: Yeah. The thing is, we humans—of course, there are many intelligences. That’s the first thing we must address, because there isn’t a single IQ or whatever way you want to measure intelligence. For me, the most important one is the capacity to adapt. That’s probably the most important intelligence of all. If we talk about the G factor, it’s one way, maybe mixing different aspects. In that sense, we have limitations. Since the beginning of time, humans have developed tools to extend our physical capabilities, but we’ve also developed tools to extend our mental limitations. This is really the final tool to extend these mental limitations. We have issues, for example, with memorizing long things—it’s quite difficult; our brains aren’t made for that. We’re basically pattern recognition machines; almost two-thirds of our brains are devoted to that. That’s something machines do quite well, so we can use that to extend our mental performance. If we think that now we have AIs with close to 150 IQ points—regardless of what you mean by IQ points, or at least in the Mensa standard test, maybe they’ve learned that, so maybe it’s not so fair to think that—but if that trend continues, even over the current year, it’s not far-fetched to have 200 IQ AIs at your fingertips. That’s a game changer. It’s like we all can have a conversation with Einstein, Newton, Carl Sagan, or whoever you want, and even make them argue about things. That’s another interesting point—when you use AIs, you can have them argue, not just agree with you, but also challenge what you or other AIs are saying. That power at your fingertips—to have this IQ potential of machines—is very critical. Another important aspect is the volume. For example, you can’t read a million books, or even 100 books in a month would be quite challenging. The capability to have machines provide all that knowledge, and even create that knowledge, is huge. We’re now in the age of identity AIs, which is really booming. There have been three big moments in AI over the last five years: the ChatGPT moment, the DeepSeek moment, and the OpenClaw moment. It’s really challenging. I use billions of tokens every month because it’s really changing everything. With that change, you can create one of these clones or agents to build a book for you with the 1,000 books most interesting to you, tailored fully to what you want to learn. You can have that in one page, 10 pages, 100 pages—whatever you want. You can use AI to synthesize and build the knowledge you want to use. That’s another great extension, if you use it that way. Having this capability of really augmented minds that you can interact with, chat with, and create with is important. Humans need the experiential part of building—it’s another critical trait. You shouldn’t just focus on asking or doing things; you should create things and interact with things, especially with multimodality. Two-thirds of our brain is devoted to vision, and we don’t use that as much. We’ve all been “one-eyed” since the beginning of technology, but we have two eyes for a reason. When I started building virtual reality or AR companies—I’ve built a couple, the first in 1995—it was because I was challenged by that. But humans are still using flat screens instead of 3D worlds. This is one area where new AIs with world models and interactive 3D spaces will be a game changer in how you feed knowledge to your brain and make it easier to grasp and understand what’s going on. Ross: Yeah, many people observe that once you start to get machines to experience the world directly for themselves, that’s a different layer compared to doing it through the intermediation of texts written by a human based on their own experience. I want to look at some of the layers of the social, structural, and economic implications. One of the core ones is education. If we are moving into a very different world, which it certainly looks like at the moment, then the nature of education needs to change. What do you think we can or should be doing in terms of redesigning education? Are there any examples you’ve seen that point to where a good education structure may already exist? David: Yeah, that’s a fundamental piece. I started this it in “The End of Knowledge.” There are two types of education. Humans aren’t able to live a meaningful life when we start here on planet Earth—we need at least maybe 15, 11, whatever number of years to build that human from the beginning. That kind of education is fundamental. The other kind—higher education, when you try to become functional by having some sort of capabilities—is another game that probably is going to end quite soon. But the first part is still fundamental, and we need to keep growing it. The thing is, there are a lot of asymmetries. We don’t have enough teachers, but we have a lot of students. The same happens with the elderly—we don’t have enough people to take care of them, and there are a lot of them. With children, it’s even more critical, because if you don’t get that from the early beginning, you won’t be able to really see what every child is good at. There are talents we are all born with, and those are fundamentally lost if you don’t nurture them. If you just try to create clone humans, you’ll get cloned humans when they’re older. That’s fundamental, and I think AI can help a lot. If you start to create that path of learning from early on—I’m involved in a project called Education (with “action” at the end) here in Europe, where we’re trying to reframe all that. It’s like when banks needed to be rescued a few years ago; we think the same is happening with education, and we’re pushing that new project. We think education needs to be rescued to start to keep up with what’s going on. We need to be in sync with learning—with AIs and with physical AIs too. It’s not far-fetched that every child will have a humanoid robot companion. Teaching needs to be bidirectional—we need to help them learn in sync. There are many aspects of technology that can help you grasp what’s happening when you learn, because we all learn in different ways. It’s fundamental to teach you how to learn by yourself. I think the most important trait at the moment is not needing to rely on others, but to learn by yourself and learn all your life. That should be taught from the beginning. There are a lot of technologies starting to pop up. We’re starting to see it in China, for example—a lot of brain-computer interfaces or devices to read some of the biological signals of kids. You can do it with other devices and mix that with multimodality, with different tests, to start seeing what’s happening, why they get distracted, where they learn best. We’re reaching a point where you can really tailor 100% of the learning experiences and even the content itself. You can create it in real time now, so you don’t need to rely on books. You can use interactive 3D content—the interactivity can be quite extensive. These new ways to teach and learn are fundamental. For that, we need to integrate AIs in schools. Of course, regulation is needed—it may be easier in China than in Europe, Australia, the US, or other places. But we need to see the trade-off—not just banning screens, as many countries are doing, but really changing the narrative. The problem isn’t the screen; it’s what’s inside the screen—the content itself. We’ve built smartphones with addictive capabilities, but for other purposes, not for teaching. If you change what’s inside the operating system of the devices—whether it’s a screen or any medium, or a talking experience with a humanoid robot for your child—that can be a game changer. That should be integrated as soon as possible to start having these new ways of learning. It should be gradual, because the technology of today is basically old science just a year or a few months from now. We need to see everything changes so fast, so education should change at the same pace. Ross: Yeah, and this was an interesting phrase you came up with—coexistence training. This is about preparing us for where we have to coexist with systems that, to your mind, will be considered as equivalents to us. David: Yeah, I think it’s happening. I’ve been quietly involved in researching AGI for 25,000–26,000 hours so far—a lot of time and years devoted to that. I see the trend is now starting to close the gap, not through LLMs alone—that could be one way to brute-force some of it—but through new models, new bio-inspired models that are starting to change things. We’re starting to learn from biology, neuroscience, and integrating all that into new models. We’re not still working with the perceptron of Rosenblatt from the 1950s; we’re building new models to cope with something that is alive and learning 24/7. We don’t differentiate between training and inference, and our brain doesn’t either. With that kind of model, the gap is narrowing, and we start to have the “next task,” as I call it—the last human tool. When we start to have that, it’s better if, through the process, we’ve been more in sync with them, instead of just building tools without being the teachers of these tools. The current kids will probably be the last human teachers of machines. That’s the responsibility at the moment—to make these machines that will surpass us. Biologically, we cannot compete; our DNA and the way we evolve is not as fast as machines. They will surpass us, probably by the end of the decade—unless there’s a big nuclear issue or we run out of energy, but otherwise, it’s very probable we’ll have AGIs and ACIs by the end of the decade. We need to start to see that it’s going to be a multi-species world. It already is, but not as intelligent as us. We need to rethink what anthropocentrism means. We’ve gotten rid of some things like that in the past—for example, realizing our planet isn’t the center of everything, like in Galileo’s days. We need to do the same with human intelligence. Human intelligence is not the end game, and very soon, that’s going to change. The sooner we grasp that and understand that some entities will be at the top, the better off we’ll be. If they see us as parents or elders, we’ll be better than if they see us as competition. The competition will be quite limited anyway. Ross: Yeah! David: Well, it’s better if we reframe that. Ross: So, I found out about your work because we were both contributors to the report “Building Human Resilience in the Age of AI.” That point of resilience is particularly critical. Humans are generally pretty adaptable—it’s one of our strengths. But now the pace of adaptation and the need to be resilient is absolutely fundamental. One of the other things you point to is around identity reconstruction. I guess you’ve just been talking about that—the sense that we have to reimagine who we are as individuals, as a society, as the human species, and reconstruct and rebuild that in a way where we can feel at home in this new emerging world. David: Yeah. I think we need to change the contract somehow—between humans and humans, and between humans and the next thing, and between societies and themselves. The models of society we’ve been building over the last millennia are going to be fully changed in just years. If we don’t really connect and put everyone together to understand that, for example, we’ve been building a world where there is no abundance—but there could be abundance if machines take over and we change how we build and process. Scarcity has been the driving force of conflict and many other things in the current world. All these things can change. Of course, work itself—the meaning of having something to do that’s not related to what you earn—even the role of money, for example. There are many questions we should address as soon as possible to build resilient societies, instead of just trying to keep adapting to the last war and being in the medieval stages of the current world. Ross: So, to round out, you take all of this further than most people do. In your most recent book, “Artificiality,” you point to machine citizenship—where, if there are human citizens, machines are our peers in the sense of also being citizens, able to participate in our society and be players alongside humans. How long might this take? What does this look like? What is required if we are moving in that direction? And, particularly, if this happens, how do we make this a positive for humans? We may recognize the rights of intelligences other than our own, but I think most people would prefer that humans still retain their sovereignty and equality, even if we have other intelligences alongside us. David: Yeah, at the end, it’s humility—understanding your point and your role in the new world. That’s fundamental. As you say, I created more books besides “The End of Knowledge.” The next one was “EAGI”—an acronym I coined for Embodied Artificial General Intelligence—because when we get this physicality of AIs, with millions or billions of humanoid robots, it will be easy to see what happens when they learn in the world. The last book was about “artificeracy,” or this mix of artificial democracy, if you want to frame it that way. These three books are the “Artificiality Trilogy,” in a sense. Artificiality is like anthropology for humans—artificiality is to try to understand all these new things, how they will develop and be among us. So yes, humility is probably the key factor. If you keep thinking you’ll be ruling things that are much smarter than us quite soon, I think that’s not very clever from a human perspective. It’s like if ants wanted to stay at the top of the food chain—it doesn’t make sense if you understand the growth of this intelligence and the capabilities they’re gathering and will gather. The trend is very difficult to stop. I don’t like the word impossible—it’s not in my dictionary—but it’s quite difficult for humans to compete in those asymmetric capabilities, because the increase in machine capabilities is going to be exponential. The last book, “Artificiality,” is the only one where the first part is fully devoted to what’s happening now—it’s called “The Storm,” the first block of the book, narrating what’s happening at the moment. The other two parts look into the possible future. I call it science prediction more than science fiction, because with what you know now, you can see things that could happen in a really short time. My point is that if we start to think and start the narratives at all levels—from every human on Earth to governments and institutions—and start to see what could happen if this happens sooner rather than later, we’ll be better off. Otherwise, if we try to legislate and limit what’s happening, we’re only going to lose competitiveness. Some countries are going to move ahead. If you want to live in the future, just visit somewhere in China, or Shanghai, or this week with the humanoid half marathon and 300 different robots working together, trying to compete with us. You see the pace of change. Now, with just one human, you can build a $1 billion revenue company. That wasn’t possible when I started creating companies in 1995. The capabilities didn’t exist. But now, with AIs, you can move much faster. So, we need to see what role we want to have in that new world. For that, again, humility is the best trait. And, of course, see things with reality lenses. If you think that with your current brain and intellect you can overrun things that are going to be 100 or a million or a billion x more intelligent than you, something is not going well. Ross: So, where can people go to find out more about your work? David: Well, vivancos.com is my site. There you can find all my books, references, and keynotes. I give a lot of keynotes all around the world. I’m going to Berlin to present a paper, later to Osaka and to San Francisco again. Last time, I went to Singapore. I haven’t been to Australia yet, but I’d like to go there—maybe it’s a good place also. Yes, at vivancos.com you have all the information and can reach me there. I’m very open to talk to anyone. Ross: Thank you so much for sharing your insights today, David. David: Thank you, Ross. Fantastic to be with you today. The post David Vivancos on the end of knowledge, cognitive flourishing, resilient societies, and artificial democracy (AC Ep42) appeared first on Humans + AI.

In the U.S., illiberalism is in power. I don't think anybody really argues against that. But I've been surprised by how weak liberalism has felt in response. Donald Trump isn't a popular president; he isn't making people want more of what he is. But if the forces of illiberalism are really going to be turned back in this country, I think more people need to be excited and inspired by liberalism itself. We need a liberalism that stands for more than “not Trump.” So I've been on my own esoteric journey, reading a lot of books on the history of liberalism, trying to understand what excited and inspired people in the past, and how liberals overcame crises like the one we're in. And reading one of those books, “The Lost History of Liberalism” by Helena Rosenblatt, it felt like an epiphany — that this was a piece of the puzzle. So I wanted to have Rosenblatt on the show to talk about it. Rosenblatt is a professor of history, political science and French at the Graduate Center of the City University of New York, and in this conversation, she walks me through the history of liberalism that she uncovered, and the values that once lived at its heart. Mentioned: Democracy in America by Alexis de Tocqueville Liberalism by Edmund Fawcett Book Recommendations: Liberalism against Itself by Samuel Moyn Liberalism as a Way of Life by Alexandre Lefebvre Thinking With Machines by Vasant Dhar Thoughts? Guest suggestions? Email us at ezrakleinshow@nytimes.com. You can find transcripts (posted midday) and more episodes of “The Ezra Klein Show” at nytimes.com/ezra-klein-podcast, and you can find Ezra on Twitter @ezraklein. Book recommendations from all our guests are listed at https://www.nytimes.com/article/ezra-klein-show-book-recs. This episode of “The Ezra Klein Show” was produced by Jack McCordick. Fact-checking by Michelle Harris with Kate Sinclair and Julie Beer. Our senior engineer is Jeff Geld, with additional mixing by Johnny Simon. Our recording engineer is Aman Sahota. Our executive producer is Claire Gordon. The show's production team also includes Marie Cascione, Annie Galvin, Rollin Hu, Kristin Lin, Emma Kehlbeck, Marina King and Jan Kobal. Original music by Pat McCusker. Audience strategy by Shannon Busta and Lauren Reddy. The director of New York Times Opinion Audio is Annie-Rose Strasser. Transcript editing by Filipa Pajevic and Marlaine Glicksman. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

“Don't.” That's the first of Roger Rosenblatt's More Rules for Aging, and the underpinning of many of the new book's 114 others. Don't try to catch that 20-something jogger who just left you in the dust on your morning walk. Don't criticize. Don't worry about awards or accolades—or, for that matter, regrets. And don't retreat, especially to Vermont. Embedded in these wry and often funny maxims is genuine, hard-won wisdom gathered from a life now in its ninth decade of reading, teaching, and perhaps above all, writing. Rosenblatt is here to share some of it with us today. Roger Rosenblatt is a New York Times guest essayist whose work has been published in 15 languages, the author of five New York Times Notable Books and three best sellers. He has received two George Polk Awards for journalism, a Guggenheim Fellowship, an Emmy, and a Peabody. He held the Briggs-Copeland appointment in the teaching of writing at Harvard, has received seven honorary doctorates, the Kenyon Review Award for Lifetime Literary Achievement, and a Fulbright to Ireland, where he played on the Irish international basketball team. He received his PhD in English and American literature and language from Harvard Griffin GSAS in 1968.

If you or a loved one are starting to think about the next chapter of life, this episode of Late Night Health is one you won't want to miss. Host Mark Alyn sits down with senior housing expert Bruce Rosenblatt, founder of Senior Housing Solutions, for a candid and eye-opening conversation about one of the most important—and often misunderstood—decisions families face.Let's be honest: the idea of moving into senior housing can feel overwhelming, emotional, and even a little intimidating. As Mark and his co-host admit right up front, it's not something most people want to think about. But as Rosenblatt explains, avoiding the conversation can lead to rushed decisions, unnecessary stress, and costly mistakes.In this engaging interview, Rosenblatt breaks down the confusing world of senior living options—from independent living to assisted living to memory care—and explains why understanding the differences early can make all the difference. He shares insider insights from more than three decades in the industry, including why choosing based on price alone can backfire, and why local, hands-on guidance is far more valuable than relying on internet searches.The conversation also tackles a major question many families struggle with: is it better to stay at home or move into a community? Rosenblatt offers a surprising perspective, pointing out that in-home care can quickly become more expensive—and more stressful—than people expect, especially when managing caregivers and maintaining a household.But perhaps the most powerful takeaway is this: senior living isn't about giving something up—it's about gaining peace of mind, safety, and connection. From social activities and dining to 24/7 support, Rosenblatt paints a picture of communities designed to enhance quality of life, not diminish it.Whether you're planning ahead or facing an immediate decision, this interview delivers practical advice, real-world stories, and a fresh perspective that could change how you think about senior housing.Listen now and learn how to make one of life's biggest decisions with confidence:https://seniorhousingsolutions.net/Become a supporter of this podcast: https://www.spreaker.com/podcast/late-night-health-radio--2804369/support.

If you or a loved one are starting to think about the next chapter of life, this episode of Late Night Health is one you won't want to miss. Host Mark Alyn sits down with senior housing expert Bruce Rosenblatt, founder of Senior Housing Solutions, for a candid and eye-opening conversation about one of the most important—and often misunderstood—decisions families face.Let's be honest: the idea of moving into senior housing can feel overwhelming, emotional, and even a little intimidating. As Mark and his co-host admit right up front, it's not something most people want to think about. But as Rosenblatt explains, avoiding the conversation can lead to rushed decisions, unnecessary stress, and costly mistakes.In this engaging interview, Rosenblatt breaks down the confusing world of senior living options—from independent living to assisted living to memory care—and explains why understanding the differences early can make all the difference. He shares insider insights from more than three decades in the industry, including why choosing based on price alone can backfire, and why local, hands-on guidance is far more valuable than relying on internet searches.The conversation also tackles a major question many families struggle with: is it better to stay at home or move into a community? Rosenblatt offers a surprising perspective, pointing out that in-home care can quickly become more expensive—and more stressful—than people expect, especially when managing caregivers and maintaining a household.But perhaps the most powerful takeaway is this: senior living isn't about giving something up—it's about gaining peace of mind, safety, and connection. From social activities and dining to 24/7 support, Rosenblatt paints a picture of communities designed to enhance quality of life, not diminish it.Whether you're planning ahead or facing an immediate decision, this interview delivers practical advice, real-world stories, and a fresh perspective that could change how you think about senior housing.Listen now and learn how to make one of life's biggest decisions with confidence:https://seniorhousingsolutions.net/Become a supporter of this podcast: https://www.spreaker.com/podcast/late-night-health-radio--2804369/support.

Episode 274: This week on the “Dan's Talks” podcast, Dan speaks to Roger Rosenblatt, an acclaimed author, playwright, and essayist whose books include Kayak … Read More

Butter Payments CEO Charles Rosenblatt answers the question, "What does the evolution of pet food subscription services look like?"

George Tsilis turns to stories moving stocks beyond the pending U.S.-Iran negotiation deadline. Rosenblatt's upgrade of Arista Networks (ANET) is tied to Broadcom (AVGO) and Alphabet (GOOGL) extending their TPU partnership. UBS also upgraded Morgan Stanley (MS) while Seaport downgraded multiple homebuilders. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Your churn dashboard might be accusing your product of something your payments stack actually did. When a renewal charge fails, customers can disappear even if they still want what you sell, and that “involuntary churn” quietly drains ARR, wrecks retention analysis, and forces teams to make the wrong fixes.In this episode I sit down with Charles Rosenblatt, CEO of Butter, to unpack how subscription businesses can recover revenue from failed card payments using machine learning. We get specific about why many dunning programs rely on simple retry schedules, and how an ML-driven approach can choose the right moment for each invoice based on patterns in card and issuer behavior. Charles also shares how Butter works globally and plugs in as an abstraction layer on top of existing processors, so merchants can improve recovery without ripping out their current setup.Then we look ahead: Butter is expanding from reactive recovery to predictive modeling that helps companies anticipate payment failures before they happen. Charles walks through real operational scenarios across telehealth, AI subscriptions, physical subscription boxes, and gyms, where a predictive score can guide whether to ship, whether to pause access, and how to reduce wasted CAC. We also talk about using anonymous card transaction variables without PII, and where AI is genuinely useful versus just hype in the payments industry.If you run subscriptions, payments, billing, or growth, you'll leave with a clearer way to separate product churn from payment friction and a roadmap for improving revenue retention. Subscribe to Leaders in Payments, share this episode with a teammate, and leave a review with your biggest churn question.

What's the Latest on the Long-Term Care Front? Episode 376 – With seemingly everything related to health care, the cost of long-term care keeps going up, which may eat into your savings if needed. What are your options to hedge that risk? More SML Planning Minute Podcast Episodes Transcript of Podcast Episode 376 Hello, this is Bill Rainaldi, with another edition of Security Mutual's SML Planning Minute. In today's episode: what's the latest on the long-term care front? Long-Term Care, or LTC as we will often refer to it in this podcast, is a set of services designed to help people who are no longer able to perform everyday personal tasks on their own. These services are designed to help people out with what are called the “Activities of Daily Living,” such as bathing, dressing, eating, etc. People very often need LTC help later in life due to chronic illness, disability or cognitive issues such as Alzheimer's. The estimate is that 60 percent of Americans will eventually need help with things like “getting dressed, driving to appointments, or making meals,” according to the U.S. Department of Health & Human Services.[1] Medicare coverage only goes so far when it comes to LTC. Through Medicare parts A & B, skilled nursing care generally runs out after 100 days.[2] Without supplemental coverage, you're on your own after that. As you might expect, the cost of care varies greatly depending on what type of need you have and where you live. Overall, the cost of LTC has been going up for decades and shows no sign of stopping. In 2025, the average annual cost of assisted living was approximately $73,000,[3] while the average annual cost for a private room in a nursing home was approximately $137,000.[4] How long is “long term?” The average nursing home stay is 485 days, or about 16 months.[5] But 28.5 percent of those who need care—whether in a nursing home or not—will need it for more than five years.[6] Finding a way to protect yourself against the rising cost of LTC is quite a challenge, and there are several different types of LTC insurance. Some people associate LTC insurance with nursing home care, but it also encompasses home health care. It stands to reason that most seniors, if given the choice, would prefer staying at home to moving into a form of nursing facility. So, in general, LTC insurance often covers things like homemaker services, skilled nursing care, and personal care services performed in the home. Because it's so expensive, many individuals will choose to insure against LTC expenses. But where do you begin? It can be a confusing journey. Here are some of the options people have: A “standalone” LTC policy. An LTC policy could be likened to car insurance or most term life insurance policies. That is, you pay premiums to protect yourself from adverse developments, and the premiums may increase over time. If you never have a claim, that money is essentially gone. With a permanent life insurance policy, you pay for a product that may result in cash value access for expenses during your lifetime, and return a benefit to heirs when you eventually pass.   The number of major companies offering standalone LTC policies has dwindled to just a handful in the last few years.[7] One reason for this is the significant amount of inflation that has occurred when it comes to health care expenses. A standalone policy is subject to unpredictable premium increases every year, and over time, the cost can end up being significantly higher than the initial premium. Another reason is that, through positive medical developments, people are living longer, requiring carriers to pay long term care claims for longer than their products have historically been priced for. A life insurance policy with an LTC rider. Some life insurance companies will offer an LTC rider to their life insurance policies. This is an optional add-on feature that comes at a cost, with the amount varying from company to company. This option is primarily used for people who need life insurance. Every dollar paid out by the LTC rider will reduce the remaining death benefit to heirs. While costs may still be significant, if the LTC rider is never used, there is still that death benefit to heirs, helping to justify the total cost. Chronic illness rider. Some insurance companies offer an alternative: a chronic illness rider. In general, a chronic illness rider allows the insured to get early access to their policy's death benefit when they are faced with a chronic illness, that is, any illness from which they are not expected to recover from during their lifetime. As with an LTC rider, chronic illness rider use would reduce the policy's death benefit when you eventually pass.   Many companies offer a chronic illness rider at no additional premium cost. And if you need to use the benefit, it is generally tax-free. If you don't use it, your full death benefit remains available. Self-insurance. This is always an option. You could simply pay the costs out of your own resources. The problem is that future costs could become astronomical, causing you to run out of money. If you end up never needing any form of long-term care though, you would theoretically be better off… But is it worth the risk? Getting old is typically never easy and long-term care is just one piece of the puzzle to consider, along with Medicare supplements, health care directives, powers of attorney, etc. Rising health care costs have made the puzzle much more difficult to solve and spending quality time to carefully consider the risks as they pertain to your individual situation is important. The sooner you start planning, the better. And as you move forward, involving a qualified legal representative well-versed in long-term care as well as national laws and the laws in your state which can vary, is highly recommended. [1] U.S. Department of Health & Human Services. “What is Long-Term Care (LTC) and Who Needs it?” LongTermCare.gov. https://acl.gov/ltc (accessed February 20, 2026). [2] Medicare Interactive. “SNF care past 100 days.” Medicareinteractive.org. https://www.medicareinteractive.org/understanding-medicare/medicare-covered-services/skilled-nursing-facility-snf-services/snf-care-past-100-days (accessed February 23, 2026). [3] Rosenblatt, Bruce. “The Cost of Assisted Living in 2025: What You Need to Know.” Seniorhousingsolutions.net. https://seniorhousingsolutions.net/the-cost-of-assisted-living-in-2025-what-you-need-to-know/ (accessed February 23, 2026). [4] American Council on Aging. “2026 Nursing Home Costs by State and Region.” Medicaidplanningassistance.org. https://www.medicaidplanningassistance.org/nursing-home-costs/ (accessed February 23, 2026). [5] Wisner, Wendy. “How long is the average nursing home stay?” Care.com. https://www.care.com/c/average-nursing-home-stay/ (accessed February 23, 2026). [6] Kujala, Jacob. “The Changing Landscape Of Long-Term-Care Insurance.” Financial Advisor. https://www.fa-mag.com/news/the-changing-landscape-of-long-term-care-insurance-84943.html (accessed February 23, 2026). [7] Knueven, Liz. “The best long-term care insurance companies of February 2026.” cnbc.com. https://www.cnbc.com/select/best-long-term-care-insurance/ (accessed February 23, 2026). More SML Planning Minute Podcast Episodes This podcast is brought to you by Security Mutual Life Insurance Company of New York, The Company That Cares®. The content provided is intended for educational and informational purposes only. Information is provided in good faith. However, the Company makes no representation or warranty of any kind regarding the accuracy, reliability, or completeness of the information. The information presented is designed to provide general information regarding the subject matter covered. It is not to serve as legal, tax or other financial advice related to individual situations, because each individual's legal, tax and financial situation is different. Specific advice needs to be tailored to your situation. Therefore, please consult with your own attorney, tax professional and/or other advisors regarding your specific situation. To help reach your goals, you need a skilled professional by your side. Contact your local Security Mutual life insurance advisor today. As part of the planning process, he or she will coordinate with your other advisors as needed to help you achieve your financial goals and objectives. For more information, visit us at SMLNY.com/SMLPodcast. If you've enjoyed this podcast, tell your friends about it. And be sure to give us a five-star review. And check us out on LinkedIn, YouTube and Twitter. Thanks for listening, and we'll talk to you next time. Tax laws are complex and subject to change. The information presented is based on current interpretation of the laws. Neither Security Mutual nor its agents are permitted to provide tax or legal advice. The applicability of any strategy discussed is dependent upon the particular facts and circumstances. Results may vary, and products and services discussed may not be appropriate for all situations. Each person's needs, objectives and financial circumstances are different, and must be reviewed and analyzed independently. We encourage individuals to seek personalized advice from a qualified Security Mutual life insurance advisor regarding their personal needs, objectives, and financial circumstances. Insurance products are issued by Security Mutual Life Insurance Company of New York, Binghamton, New York. Product availability and features may vary by state.​ SubscribeApple PodcastsSpotifyAndroidPandoraBlubrryby EmailTuneInDeezerRSSMore Subscribe Options

Today on the show, we have Charles Rosenblatt, CEO of Butter Payments, providing ML AI-driven payment recovery for subscription merchants and recurring payments. Previously, Charles was CSO of Payoneer, CRO at Velo Payments, and ran treasury at D.E. Shaw during the late 90s—where managing a financial crisis taught him that outside factors can derail even the best strategies and smartest teams. In this episode, we uncover why the 14-day dunning period is an arbitrary standard that shouldn't exist—and how decoupling dunning strategy from product access unlocks smarter business decisions. Charles shares how Butter analyzes 128 variables across billions of transactions to predict payment recovery within 10 seconds, allowing companies to shut off high-cost AI users immediately when recovery is unlikely, while keeping loyal customers active when payments will clear. We explore why involuntary churn creates dangerous false signals: 30% of customers leaving might actually want to stay but have expired cards or temporary payment issues. This can lead product teams to catastrophic decisions—like Coca-Cola changing their formula when the real problem was payment infrastructure, not product-market fit. The lesson: understand what's within your control versus what's not before making strategic pivots. We also discuss how Capital One shifted their best people from acquisition to retention after realizing they were churning the equivalent of the 7th largest credit card company every year—because spending $20 to save a $500 NPV customer beats spending $300 to acquire a new one who might churn anyway. Finally, we dig into payment recovery ethics and strategy: why Butter refuses "forced payments" that drive customer accounts negative, how different card types (Amex vs. debit vs. prepaid) require completely different retry logic, and why competitors who inflate recovery promises by 100% damage trust across the industry.As always, I'd love to hear from you. You can email me directly at andrew@churn.fm, and don't forget to follow us on X.Churn FM is sponsored by Vitally, the all-in-one Customer Success Platform.

Roger Rosenblatt wrote a column for the NY Times called Before You Toss that Book… We already loved Roger's books, and this column moved us to reach out to him. We asked if he would come on our show to read the column for our audience and to talk to us about what makes books so important, what keeping books can do to grow your love for the written word. Roger is a national treasure and this conversation was both moving and insightful. If you love books, you must join us. Roger's column: https://www.nytimes.com/2025/12/28/opinion/favorite-books-cleaning-out.html Find books mentioned on The Book Case: https://www.goodmorningamerica.com/shop/story/book-case-podcast-reading-list-118433302 Books mentioned on this week's episode: Making Toast by Roger Rosenblatt Rules for Aging by Roger Rosenblatt The Man in the Water by Roger Rosenblatt The Boy Detective by Roger Rosenblatt Cold Moon by Roger Rosenblatt Unless it Moves the Heart by Roger Rosenblatt Anything Can Happen by Roger Rosenblatt Thomas Murphy By Roger Rosenblatt Life Itself: Abortion and the American Mind by Roger Rosenblatt Where We Stand by Roger Rosenblatt Lapham Rising by Roger Rosenblatt Beet by Roger Rosenblatt The Story I am by Roger Rosenblatt The Book of Love by Roger Rosenblatt Cataract Blues by Roger Rosenblatt A Steinway on the Beach by Roger Rosenblatt Children of War by Roger Rosenblatt Lolita by Vladimir Nabokov Frankenstein by Mary Shelley Dr. Jekyll and Mr. Hyde by Robert Louis Stevenson Hamlet by William Shakespeare The Far Field by Theodore Roethke Great Expectations by Charles Dickens Learn more about your ad choices. Visit podcastchoices.com/adchoices

As the Jets defensive coordinator search continues, Connor Hughes of SNY had an interesting tidbit on his Jets Final Drive podcast with Zack Rosenblatt of The Athletic.  According to Hughes, two “big name” candidates have told the Jets that they have no interest in interviewing to work for the Jets at this time.  Rosenblatt would add that his understanding is that it’s “more than two”. https://api.spreaker.com/v2/episodes/69540952/download.mp3 But while the search may not be going as well as hoped, the pair claims that well-known coordinator Wink Martindale has emerged as the current favorite to land the job.  Martindale coached in the NFL from 2004-20023, spending seven of those seasons as a defensive coordinator for the Broncos, Ravens, and Giants.  He has spent the past twos seasons in the college ranks for Michigan. As far as the offensive side of the football, particularly at quarterback, the Senior Bowl in Mobile, AL is just around the corner, and there will be six QB’s on hand. Garrett Nussmeier, LSU: Viewed as a lock to go in round 1 this year, Nussmeier had a disastrous year that how has him pegged as a mid-round pick.  Some speculate he was playing with an injury in 2025, so this will be a chance for the signal caller to raise his stock once again in a weak quarterback class. Taylen Green, Arkansas: The 6′ 6” Green has elite athletic traits but fell flat for much of 2025.  After starting off hot with ten touchdown passes in his first two games, Green would throw just nine more over the course of the remainder of the season.  Mobile will be a chance for Green to work with a more talented group of receivers but will have to show improved accuracy if he hopes to impress scouts. Sawyer Robertson, Baylor: Robertson is an aggressive downfield thrower who shows elite ball placement deep down the field and likes to find man coverage and air it out when opponents blitz.  He’s also more than willing to hang in the pocket do deliver a deep shot but will offer less than any other QB in mobile as a runner. Love the poise/awareness we see from @BUFootball QB Sawyer Robertson. Looks like a sure sack before he pulls away, finds RB Caden Knighten over the middle and pulls trigger for big gain instead of sack or throw away. Big opportunity to boost his stock at the @seniorbowl. pic.twitter.com/Duovst0cZk — Glenn Naughton (@JetsPicks) January 22, 2026 Diego Pavia, Vanderbilt: An underdog who always seems to find a way to pull out a win or keep Vandy competitive.  There are serious concerns regarding his height as some suggest he’ll check in at 5′ 9” in Indy.  This would be a major blow for a QB who likely irked some teams with his social media meltdown after not winning the Heisman. Luke Altmyer, Illinois: A guy who does a lot of things well but nothing exceptional.  Good arm strength and athleticism for Altmyer who logged 44 TD’s to just 11 INT’s over his final two college seasons.  A ‘steady Eddie” type who could be a day 3 pick and potential long-term backup. Cole Payton, NDSU: If the New Orleans Saints feel it’s time to move on from Taysom Hill, Payton could be the perfect replacement.  His speed and athleticism is beyond impressive and we expect him to run the fastest 40 among QB’s in Indy.  This isn’t to say he can’t wow you with an eye popping throw from time to time, but no matter the plan for Payton, he’s likely a multi-year project. The post Report: Jets Snubbed by two “big name” Def Coordinators; a Look at Senior Bowl QBs appeared first on JetNation.com - New York Jets Blog & Forum.

Quantum computing is back in focus — with Quantum Computing (QUBT). George Tsilis talks about Rosenblatt initiating coverage on the stock and Rigetti Computing (RGTI) with buy ratings as his anchor to Thursday's Overlook Stock. The main question he poses to investors: how long are you willing to wait for quantum computing to become widely commercial?======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

THE AI WINTER Colleague Gary Rivlin. The history of Frank Rosenblatt's neural networks, their dismissal by Marvin Minsky in favor of rules-based computing, and the decades-long "winter" before the resurgence of machine learning. NUMBER 11

Happy New Year! Welcome to our first episode of 2026.We kick things off with our Athens Big Fork Trail Marathon race recap—Zoe ran an 8-minute PR after 4 years of training (that's 30 miles per second of improvement), while TJ ran his worst time ever and learned some valuable lessons about mental performance and showing up when things don't go your way.Then we answer a listener question: Does shoe cushioning actually matter for injury prevention? The 2024 research from Malisoo et al. might surprise you—it's not about how soft your shoes are, it's about something else entirely.Our main topic: 5 signs your easy runs aren't easy enough. This is the single most common mistake we see as coaches, and fixing it might be the highest-leverage change you can make to your training. We break down the physiology of why slow running makes you faster, what the 80/20 research actually says (including a 2025 meta-analysis), and give you 5 concrete signs to watch for.In this episode:• Athens Big Fork Trail Marathon race recap• The math behind 4 years of training for an 8-minute PR• How to compete hard even when having a bad day• Shoe cushioning research: perception vs. mechanics• The physiology of aerobic vs. glycolytic training• What 80/20 polarized training really means• 5 signs your easy runs aren't easy enough• How Kipchoge's easy pace compares to recreational runnersStudies referenced:• Rosenblatt et al. 2025 (Sports Medicine) - Polarized training meta-analysis• Jong et al. 2025 (Applied Sciences) - Sleep and injury risk in runners• Malisoo et al. 2024 (European Journal of Sports Science) - Shoe cushioning perceptionConnect with us:Email: microcosmcoaching@gmail.comWebsite: microcosm-coaching.comJoin Foothills group coaching ($10/month with code FOOTHILLS10)

On this episode Gil sits with Michael Rosenblatt, MD, one of the most accomplished physician-scientists in modern medicine. He is former Chief Medical Officer of Merck, where he led global scientific strategy and medical affairs. Previously he served as Dean of Tufts University School of Medicine, Chief Scientific Officer at Vertex Pharmaceuticals, and Professor of Medicine at Harvard Medical School, where he advanced groundbreaking research in endocrinology, metabolic bone disease, and translational science. We discuss the intersection of academia, biotechnology, pharmaceutical innovation, and the clinical science shaping modern drug development and the future of precision therapeutics.

Who makes the better embezzler: men or women? According to this week's guest, it's impossible to know because the truly great embezzlers never get caught.I'm excited to welcome my longtime friend and colleague Eli Rosenblatt to Fraudish. Eli takes us through his wonderfully "squiggly" career path in fraud investigation, reminding us that there's no single route to success in this field—and that's what makes it exciting. Whether you're just starting out or contemplating a career pivot, Eli's journey proves there are countless ways to make your mark in fraud detection. We dive deep into Fraud in Pop Culture cause we are both nerds about it. Eli shares his favorite fictional fraud fighters and we geek out over the shows that get it right and wrong.If you've ever wondered about the crimes we never catch or felt stuck in your fraud career trajectory, this episode will open your eyes to possibilities you haven't considered.Connect with Eli: https://www.linkedin.com/in/elirosenblatt/Eli's website: https://elirosenblatt.com/Mentions: The Bridge: https://en.wikipedia.org/wiki/The_Bridge_(2013_TV_series)Great Detectives Archive: https://www.greatdetectives.net/detectives/Leverage: https://en.wikipedia.org/wiki/Leverage_(American_TV_series)Pat Novak, for Hire: https://en.wikipedia.org/wiki/Pat_Novak,_for_HireYours Truly, Johnny Dollar: https://archive.org/details/OTRR_YoursTrulyJohnnyDollar_SinglesThe Big Sleep: https://en.wikipedia.org/wiki/The_Big_Sleep_(1946_film)Blade Runner: https://en.wikipedia.org/wiki/Blade_RunnerStumptown: https://en.wikipedia.org/wiki/Stumptown_(TV_series)Sugar: https://en.wikipedia.org/wiki/Sugar_(2024_TV_series)Against the Rules Podcast: https://podcasts.apple.com/us/podcast/against-the-rules-the-big-short-companion/id1455379351

Diane King Hall turns to movers in the software space ahead of their earnings this week. KeyBanc and JPMorgan both raised price targets on CrowdStrike (CRWD) on expected long-term growth, while Rosenblatt raised its target for similar reasons. Salesforce (CRM) saw the opposite traction, as Diane notes a price target cut for the software giant. ======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Click HERE for the Marei MekomosLegal Holiday Learning 11.27.25

Episode: 3343  Frank Rosenblatt's perceptron and the quest to design machines that can learn.  Today, the origin of learning in artificial neural networks.

This episode examines how low-load Blood Flow Restriction (BFR) training can enhance outcomes during Phase 2 of ACL reconstruction rehabilitation. Building on Part 1—which covered pre-operative and acute post-operative strategies—this instalment focuses on integrating BFR into early strengthening when high mechanical loads are still contraindicated.   Key findings from several clinical trials demonstrate that BFR can:   • Improve early quadriceps strength recovery compared with traditional low-load rehabilitation. • Produce hypertrophy comparable to heavy-load training but with much lower joint stress. • Reduce pain, swelling, and functional deficits during the early post-operative period. • Assist with restoring long-term limb symmetry, even months after surgery, through modalities such as BFR walking.   Together, these studies highlight BFR as a valuable adjunct in ACL rehabilitation, particularly when protecting the graft and surrounding joint structures while still driving meaningful physiological adaptation.  

Rachel Dashiell examines the chart of Micron (MU) following a price target hike from Rosenblatt. Micron recently hit all-time highs above $257 as shares are up about 300% from its April lows. She looks at the recent resistance around $256 and this morning's break of a possible triangle pattern. On a 1-year chart, Rachel shows the close correlation to the company's 20-day simple moving average and it's relative outperformance against the rest of the Information Technology sector. ======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – / schwabnetwork Follow us on Facebook – / schwabnetwork Follow us on LinkedIn - / schwab-network About Schwab Network - https://schwabnetwork.com/about

In this episode of the Training Science Podcast, Dr. Martin Buchheit sits down with performance coach and founder of 292Performance, Dr. Benjamin Rosenblatt, formerly the Head of Strength & Conditioning for the England national football team. Together, they explore the real engine behind athlete development: motivation, buy-in, and meaningful relationships.Ben shares the story behind his transition from leading England's physical performance program to building a high-impact, athlete-centered company that now supports elite performers across Europe. The conversation dives into his evidence-based methods for driving player engagement, the role of autonomy and competition in training, and how to manage different personalities, from mavericks to rising talent.Whether you work in elite football, academy settings, physical preparation, or high-performance environments, this episode offers practical frameworks, coaching wisdom, and behind-the-scenes stories you won't hear anywhere else.Perfect for coaches, sport scientists, physiotherapists, and anyone interested in performance coaching, athlete motivation, high-performance team culture, and player development._____________________ Today's speakers:Dr Martin Buchheit https://martin-buchheit.net/    Dr Benjamin Rosenblatt https://www.linkedin.com/in/dr-benjamin-rosenblatt-03342514/_____________________ 

Nvidia (NVDA) shares have been traveling in an "upward" trajectory, in a shallow wedge, says Rick Ducat. He examines the technical trends shaping up on its chart, including outpacing its 21-day exponential moving average. Nvidia begins the week with a price target hike to $350 from Loop Capital and another from Rosenblatt to $240. Later, Tom White demonstrates an example options trade for Nvidia using a cash-secured put strategy. Tom explains why it is a neutral to bullish position.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – / schwabnetwork Follow us on Facebook – / schwabnetwork Follow us on LinkedIn - / schwab-network

Apple recorded its first record close of the year — Steve Kovach breaks down what's behind the surge, and Mike Santoli explains its broader market impact. Scott Wren of Wells Fargo weighs in on whether Apple's record is a bullish signal or a warning sign. Mackenzie Sigalos reports on the AWS outage and its ripple effects, while David George of Baird discusses what regional bank earnings are revealing plus reaction to Zions results. John Leer of Morning Consult assesses the “data desert” facing economists, and Barton Crockett of Rosenblatt previews what's next for Apple and Netflix. Finally, Guy Adami of Fast Money looks ahead to key signals from gold, volatility, and earnings. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This week I talk to Molly Rosenblatt, Jewfolk's new journalist and audience engagement editor. We talk about Molly's start in journalism, traveling the country covering local news, and how Oct. 7 helped her connect more with the Twin Cities Jewish community, on this week's Who The Folk?! Podcast. The Who The Folk?! Podcast is part of the Jewfolk Podcast Network, a product of Jewfolk, Inc. Episodes are produced by Jewfolk editor-in-chief Lonny Goldsmith. If you have questions, comments, or a guest to nominate, send an e-mail to editor@jewfolk.com. For more information, go to TCJewfolk.com/podcast

When I first met Deric Rosenblatt, he was renowned as a boysoprano in Houston, Texas. Now, he's a renowned singing teacher in New York, with an impressive (and in some cases, surprising) roster of students. Deric shared some great stories as he guided me through his professional and geographic journey. Recorded on 8/9/25. 

Ella Rosenblatt weighs in on why empathy matters when discussing animals.

September 5, 2025 - Season 16, Episode 20 of The Terrible Podcast is now in the can. In this Friday morning episode, Alex Kozora and I get right to talking about the 2025 NFL regular-season opener Thursday night between the Philadelphia Eagles and the Dallas Cowboys, which included the debut of former Pittsburgh Steelers WR George Pickens in a new uniform. With Steelers OLB Nick Herbig dealing with a hamstring injury this week, Alex and I have a lot to say on that topic and if the team might elevate OLB DeMarvin Leal or new ILB Jon Rhattigan on Saturday. We also discuss the possibility of ILB Malik Harrison playing on the edge some on Sunday should Herbig not play in the regular season opener against the New York Jets. We talk about how important the Friday injury report will be for Herbig as we then go through the rest of the Week 1 injury report heading into Friday's practice. On Thursday, we heard from two of the Steelers' coordinators, Arthur Smith and Teryl Austin, so Alex and I recap the few main talking points top come out of those two media sessions. Alex and I welcome Zack Rosenblatt of The Athletic back to the show, and he helps us get started with a preview of the Steelers' road game against the Jets. Rosenblatt has covered the Jets for several seasons, and nobody knows that team better than him. We get his thoughts on new Jets QB Justin Fields and Steelers new QB Aaron Rodgers and many more things related to Sunday's game at MetLife Stadium. At the end of our talk with Rosenblatt, he gives us his score prediction for the Sunday game between the Steelers and the Jets. If not already doing so, make sure to follow Zack on X/Twitter at @ZackBlatt and make sure to read his work online here: https://www.nytimes.com/athletic/author/zack-rosenblatt/ After finishing with Rosenblatt, Alex and I provide our own preview of the game between the Steelers and the Jets. We break down what we are looking for out of both teams on both sides of the football ahead of the Week 1 game. Alex and I then give our picks against the spread for all of the Week 1 games in the NFL using the line provided by show sponsor MyBookie.ag. We also give our score predictions for Steelers-Jets to end that segment. Finally, Alex and I make our predictions for not only the 2025 Steelers, but the entire NFL. We give our record predictions for the 20254 Steelers, if we think they will make the playoffs, and more. We also predict Super Bowl LX as well. This 127-minute episode also discusses several other minor topics not noted, and we close things by answering a few emails that we recently received from listeners. steelersdepot.com Learn more about your ad choices. Visit megaphone.fm/adchoices

What happens when a mom's desire for flexibility meets entrepreneurial grit? Katherine Rosenblatt shares her journey from corporate consulting to founding Mom to Virtual Assistant, a company connecting moms with meaningful, remote work. In this episode, she opens up about balancing motherhood and business, shifting from client work to building a scalable company, working alongside her husband, and helping other women discover their potential. Her story is a powerful reminder that success isn't just about titles or money—it's about creating the life you want for yourself and your family

Alan joins his old friend to compare notes on staying happy when old; and Roger shares tips from a forthcoming book, including some that may seem counterintuitive – like don't use common sense, believe everyone, and don't pay attention to people in your way.

AI might not yet be trying to kill us—but Judd Rosenblatt says we're not doing nearly enough to stop that from becoming a real possibility! The Chicks chat with the CEO of AE Studio about AI alignment, non-woke education, and why China might be way ahead of us on this tech. It's a smart, funny, and eye-opening convo that'll make you think twice about trusting the robots. If you've ever thought “I just want to burn it all with fire,” this episode's for you.

Between 1991 and 1993, the dismembered bodies of five gay and bisexual men were discovered in garbage bags along the highway in New York and New Jersey. The cause of the death for each was multiple stab wounds, and each victim had been disarticulated into eight pieces and placed in eight garbage bags before being deposited into trash barrels, where they were quickly discovered by a curious member of the public. Despite being discovered in different locations in different states, it didn't take long for investigators to identify the similarities between the victims. They were all older men, single or separated, and all had been seen last around closing time at various New York gay bars. Moreover, the scant evidence found with each bottom appeared to connect the murders back to Staten Island, but told detectives nothing else about the killer. Then, in late 1993, the murders simply stopped and the case went cold.The case of the man the press dubbed “The Last Call Killer” sat on a shelf for nearly a decade before a team of cold case investigators picked it up again, determined to make progress. In the years that passed, advances in technology had allowed for the collection of previously unseen evidence, and it was thanks to that technology that the case was finally solved.Thank you to the Incredible Dave White of Bring Me the Axe Podcast for research and Writing support!ReferencesBen-Ali, Russell, and William Rashbaum. 1993. "Grisly slayings linked?" Newsday, August 3: 4.—. 1993. "Hunt is on." Newsday, August 5: 6.Curran, John. 2006. "Ex-UM student given life sentences in slayings." Bangor Daily News, January 28: 25.Frederick, Henry. 1993. "Body parts found in Haverstraw." Journal News (White Plains, NY), August 1: 1.Green, Elon. 2021. Last Call: A True Story of Love, Lust, and Murder in Queer New York. New York, NY: Celadon Books.Hoober, John. 1991. "Turnpike murder victim was ex-banker." Lancaster New Era, May 15: 1.Lueck, Thomas. 2001. "Complicated portrait of a suspect in killings of gay men." New York Times, May 31.New York Times. 1993. "Thomas Mulcahy: Sales executive, devoted husband." New York Times, August 8: 40.Peet, Judy. 2000. "Technology revives search for gays' serial killer." Staten Island Advance, April 24: 15.Rashbaum, William. 1993. "Gay stalker?" Newsday, August 4: 5.Rosenblatt, Lionel. 1973. "Jury finds student not guilty." Bangor Daily News, November 4: 1.State of New Jersey v. Richard W. Rogers. 2008. 03-01-00050 (Superior Court of New Jersey, April 16).Walsh, James. 1993. "Tracking a killer." Journal News (White Plains, NY), October 24: Stay in the know - wondery.fm/morbid-wondery.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Between 1991 and 1993, the dismembered bodies of five gay and bisexual men were discovered in garbage bags along the highway in New York and New Jersey. The cause of the death for each was multiple stab wounds, and each victim had been disarticulated into eight pieces and placed in eight garbage bags before being deposited into trash barrels, where they were quickly discovered by a curious member of the public. Despite being discovered in different locations in different states, it didn't take long for investigators to identify the similarities between the victims. They were all older men, single or separated, and all had been seen last around closing time at various New York gay bars. Moreover, the scant evidence found with each bottom appeared to connect the murders back to Staten Island, but told detectives nothing else about the killer. Then, in late 1993, the murders simply stopped and the case went cold.The case of the man the press dubbed “The Last Call Killer” sat on a shelf for nearly a decade before a team of cold case investigators picked it up again, determined to make progress. In the years that passed, advances in technology had allowed for the collection of previously unseen evidence, and it was thanks to that technology that the case was finally solved.Thank you to the Incredible Dave White of Bring Me the Axe Podcast for research and Writing support!ReferencesBen-Ali, Russell, and William Rashbaum. 1993. "Grisly slayings linked?" Newsday, August 3: 4.—. 1993. "Hunt is on." Newsday, August 5: 6.Curran, John. 2006. "Ex-UM student given life sentences in slayings." Bangor Daily News, January 28: 25.Frederick, Henry. 1993. "Body parts found in Haverstraw." Journal News (White Plains, NY), August 1: 1.Green, Elon. 2021. Last Call: A True Story of Love, Lust, and Murder in Queer New York. New York, NY: Celadon Books.Hoober, John. 1991. "Turnpike murder victim was ex-banker." Lancaster New Era, May 15: 1.Lueck, Thomas. 2001. "Complicated portrait of a suspect in killings of gay men." New York Times, May 31.New York Times. 1993. "Thomas Mulcahy: Sales executive, devoted husband." New York Times, August 8: 40.Peet, Judy. 2000. "Technology revives search for gays' serial killer." Staten Island Advance, April 24: 15.Rashbaum, William. 1993. "Gay stalker?" Newsday, August 4: 5.Rosenblatt, Lionel. 1973. "Jury finds student not guilty." Bangor Daily News, November 4: 1.State of New Jersey v. Richard W. Rogers. 2008. 03-01-00050 (Superior Court of New Jersey, April 16).Walsh, James. 1993. "Tracking a killer." Journal News (White Plains, NY), October 24:Stay in the know - wondery.fm/morbid-wondery.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Our next #TopicAlert has us devising ways to make Charles Schwab Field in Omaha feel more like Rosenblatt.

Rosenblatt sees new potential in Magnite (MGNI) after boosting its price target on the digital advertising company. George Tsilis talks about value the firm sees in Magnite compared to peers like Roku Inc. (ROKU) and The Trade Desk (TTD).======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Would yesterday's no-hitter have happened at Rosenblatt?

Big tech boosting the major indices after strong reports out of Meta and Microsoft overnight: Carl Quintanilla, Sara Eisen, and David Faber broke down the numbers with some of the street's top analysts, while also looking ahead to Amazon and Apple earnings tonight. Why Jefferies calls Microsoft their Top Pick here, and more with one Rosenblatt analyst who says Apple's earnings will be a ‘write-off' quarter, with the true cost of tariffs to come later. Plus: the latest on Tesla, amid reports that their board contemplated replacing CEO Elon Musk (and fresh news on the autos front out of GM and Ford). Also in focus: McDonalds reporting its biggest U.S. same-store sales decline in 5 years – but Evercore says to buy the dip here… And more on the tariff pressure facing consumers and businesses with the President and CEO of the Chamber of Commerce, in a wide-ranging interview this hour.  Squawk on the Street Disclaimer

It's a two-for-one special! First, Jacke talks to novelist Radha Vatsal about her new book, No. 10 Doyers Street, which tells the gripping story of an Indian woman journalist investigating a bloody shooting in New York's Chinatown circa 1907. Then podcaster Tali Rosenblatt-Cohen stops by to discuss her experience hosting The Five Books, which asks Jewish writers to list the five books that have influenced them. Enjoy! Additional listening: 40 Radha Vatsal, Author of "A Front Page Affair" 90 History and Mystery (with Radha Vatsal) 512 Hannah Arendt (with Samantha Rose Hill) The music in this episode is by Gabriel Ruiz-Bernal. Learn more at gabrielruizbernal.com. Help support the show at patreon.com/literature or historyofliterature.com/donate. The History of Literature Podcast is a member of Lit Hub Radio and the Podglomerate Network. Learn more at thepodglomerate.com/historyofliterature. Learn more about your ad choices. Visit megaphone.fm/adchoices

Some paths in life aren't so much chosen as they are revealed—often through unexpected encounters, serendipitous moments, or a relentless tug of curiosity. The call to become a healer, to step into the role of a doctor, is often as much about who you are as what you do.In this conversation with Dr. Steven Rosenblatt, we step back into the early days of acupuncture in the West. From his serendipitous meeting with a renowned acupuncturist in Griffith Park to becoming the first Westerner licensed to practice acupuncture in the United States, Steven's story is a rich tapestry of curiosity, perseverance, and pioneering spirit.Listen into this discussion as we explore the underground days of acupuncture in Chinatown, the quest for legal recognition of the medicine, the challenges of integrating acupuncture into mainstream healthcare, and how becoming a doctor is as much an internal calling as it is an external practice.

*Content Warning: digital violence, non-consensual distribution of intimate images, doxxing, cyberstalking, cyberbullying, grooming, exploitation, child sexual abuse material, internalized misogyny, hate crimes, racism, transphobia, and homophobia.Resources:Internet Crime Complaint Center (IC3): https://www.ic3.gov/National Domestic Violence Hotline: https://www.thehotline.org/Take It Down: https://takeitdown.ncmec.org/THORN: https://info.thorn.org/Sources:Artificial Intelligence 2023 Legislation. (2023). The National Conference of State Legislatures. https://www.ncsl.org/technology-and-communication/artificial-intelligence-2023-legislationBernard Marr. May 8, 2024. The Important Difference Between Generative AI And AGI. https://www.forbes.com/sites/bernardmarr/2024/05/08/the-important-difference-between-generative-ai-and-agi/Deeptrace Labs. (2019). The State of Deepfakes: Landscape, Threats, & impact. https://regmedia.co.uk/2019/10/08/deepfake_report.pdfEuropean Commission. (n.d.). The EU's Digital Services Act. https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/europe-fit-digital-age/digital-services-act_enFACT SHEET: Presidential Memorandum Establishing the White House Task Force to address online harassment and abuse. (2022). https://www.whitehouse.gov/briefing-room/statements-releases/2022/06/16/fact-sheet-presidential-memorandum-establishing-the-white-house-task-force-to-address-online-harassment-and-abuse/#:~:text=The%20Department%20of%20Justice%20(DOJ)%20will%20implement%20new%20statutory%20provisions,at%20the%20intersection%20with%20domesticJanine M. Zweig, Ph.D., Meredith Dank, Ph.D., Pamela Lachman, Jennifer Yahner. Technology, Teen Dating Violence and Abuse, and Bullying. U.S. Department of Justice. 2013. https://www.ojp.gov/pdffiles1/nij/grants/243296.pdfNational Center for Missing & Exploited Children. (n.d.). CyberTipline 2023 Report. https://www.missingkids.org/gethelpnow/cybertipline/cybertiplinedataPew Research Center. (2021, January 13). The State of Online Harassment. Pew Research. https://www.pewresearch.org/internet/2021/01/13/the-state-of-online-harassment/Pew Research Center. (2022, December 15). Teens And Cyberbullying. Pew Research. https://www.pewresearch.org/internet/2022/12/15/teens-and-cyberbullying-2022/Right To Be. (n.d.). Self-Care When Experiencing Online Harassment. Right to Be. https://righttobe.org/guides/self-care-when-experiencing-online-harassment/Rosenblatt, K. (2021, November 16). Drag queens are being swatted while streaming on Twitch. They want it to stop. NBC News. https://www.nbcnews.com/pop-culture/pop-culture-news/drag-queens-are-swatted-streaming-twitch-want-stop-rcna5631Rosenblatt, K. (2019, November 11). Family of Wichita man killed by police in swatting incident seeking $25 million from city. NBC News.https://www.nbcnews.com/news/us-news/family-wichita-man-killed-police-swatting-incident-seeking-25-million-n1079836THORN. (2023, April 11). Online Grooming: What it is, how it happens, and how to defend children. https://www.thorn.org/blog/online-grooming-what-it-is-how-it-happens-and-how-to-defend-children/Walker, Paige, Adam Jazairi, and Chelcie Rowell, eds. Digital Literacy Against Digital Violence: A Handbook for Library Workers. 2022. https://nfpcsa.pubpub.org/handbook.Dr. Aiden Hirshfield:Dr. Hirshfield's website: https://www.aidenhirshfield.com/Media Psyched Podcast: https://www.aidenhirshfield.com/podcastDr. Hirshfield's Instagram: http://www.instagram.com/dr.aidenhirshfieldSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.