ScienceMathematicsSociety & CultureRelationships

Now I Get It, with Dr. Andy

Andrew Winkler

I’m Andrew Winkler, a former Stanford and Columbia math professor.

We’ll explore the most interesting insights I’ve come across, ranging across the mental landscape: math, science, personality, how we think and feel, and how we love or feel unloved. We’ll give answers to all the most confusing questions everyone has, have new books and authors, and reach new understandings.

Hosted on Acast. See acast.com/privacy for more information.

Play

Open in

24 episodes
fortnightly
Avg 15 min
English

Episodes 24

Newest Oldest Longest

All20 Unplayed20 In progress0 Played0

Counted on this page — what you have heard stays on this device, so it is not something the list can be paged by.

#53
Yesterday · 6 min
Episode 53: CardSmart: The Free App That Finds Your Best Credit Card and Pays You to Share It
I've been experimenting with AI tools lately, and my newest project came out of that: CardSmart, a free app that solves a problem I kept running into myself. Credit cards pay you back differently depending on where you shop, and keeping track of which card wins where, especially with rotating categories and payout caps, is more than anyone should have to manage in their head. CardSmart uses your phone's location, which never leaves your device, to tell you which of your cards earns the most wherever you are, or which card you don't have yet would do better. There's also a referral layer built in. Most credit card companies pay hundreds or even thousands of dollars when someone you refer gets approved, so CardSmart lets you enter your affiliate codes and share your card link automatically when it recommends that card to someone else. I don't make money on this myself; I use the app exactly like anyone else. I built it this way because I want people to have a real reason to share it, since it means their friends and family get the same savings too. In this episode you will learn: (00:00) Why I built CardSmart and the philosophy behind making apps I wish existed (01:20) How CardSmart uses your phone's location to find the best card for wherever you're shopping, and why rotating categories and payout caps make this hard to track on your own (03:00) How the referral bonus feature works: entering your affiliate ID lets the app share your card link and earn you money when others sign up (04:44) My real motivation for the referral feature, and why I want you to spread the word (05:13) Why I'd rather you complain loudly about bugs than stay quiet Let’s connect! linktr.ee/drprandy Read, with computer assistance, the best literature the world has ever produced andrew-winkler-reading-room.overskill.app Love Quotient: Stop Dying of Thirst in an Ocean of Love Kickstarter https://www.kickstarter.com/projects/amwphd/love-quotient Hosted on Acast. See acast.com/privacy for more information.
#52
September 10 · 22 min
Why AI Creates a Monopoly, Not a Democracy: Runaway Growth and Pandemic Lessons
I've been thinking a lot lately about AI, a subject I explored back in grad school and postdoc. In this episode, I walk through a hackathon project to democratize AI by distributing neural network training across home computers. I explain why it failed: first the obvious reason, a bad actor can silently poison a distributed model, then a subtler one rooted in the physics of computation. I break down how neural networks work, why a single nonlinearity lets them approximate almost anything, and why these models need the low latency bandwidth only a data center can provide. From there I connect to something bigger: why AI is destined to concentrate power into a few organizations, and why that oligopoly could tip into an outright monopoly. I use the mathematics of pandemic spread to show how a tiny edge in AI self improvement compounds into a runaway advantage, and I compare it to UK land ownership to explain what it means to be a rent seeker over an entire economy. I close with why every business is now a software business, why AI generated code brings new unintended behavior, and why we need to stay engaged rather than assume it's someone else's problem. In this episode you will learn: (00:00) The hackathon idea that started this, distributing AI training across home computers so everyone could have a stake, and why it failed, starting with undetectable poisoning by bad actors. (03:44) How neural networks work, from linear functions in algebra to the single nonlinearity that lets them approximate virtually any function. (06:36) The matrix computations and graphics chips these models need, and why low latency communication means the work must happen inside one data center, not distributed machines. (10:00) Why AI is destined to be an oligopoly controlled by a handful of corporations and nation states, and how AI improving AI can turn a breakout model into a runaway one. (12:57) The mathematics of pandemic spread, the replication number separating exponential growth from decline, and how a small edge in AI self improvement compounds into an overwhelming advantage. (15:56) The idea of a rent seeker, illustrated through UK land ownership dating back nearly a thousand years, and how a runaway AI could end up in a similar position over the global economy. (18:53) Dan Kennedy's insight that whoever can spend the most to acquire a customer wins, and why that means every business is now a software business built on AI. (21:32) The unintended behaviors in AI generated software, and why engaging with these risks now matters more than treating them as a distant problem. Let’s connect! linktr.ee/drprandy Read, with computer assistance, the best literature the world has ever produced andrew-winkler-reading-room.overskill.app Love Quotient: Stop Dying of Thirst in an Ocean of Love Kickstarter https://www.kickstarter.com/projects/amwphd/love-quotient Hosted on Acast. See acast.com/privacy for more information.
#51
August 27 · 11 min
From Child Prodigy to Language Obsessive: How Literature Shapes Theory of Mind
I'm taking you through my own origin story this episode, from getting swept into a Johns Hopkins study on intellectual talent as a sixth grader to skipping straight into college at fifteen. I share how that unusual path, being identified as gifted, accelerated through school, and landing in a college honors program that clashed with my own academic ambitions, shaped the way I think about learning today. Along the way I talk about my late AP English teacher Adrian Morris, and how I completely missed the point of literature even while being taught by the best. That early misstep, wanting to read everything in its original language rather than in translation, ended up defining my life's work. I explain why I built reader.winklers.us, my free computer assisted reading tool with over a hundred classic texts, and why I deliberately left out syntax support so readers still get the meditative wrestling that makes literature transformative. I also dig into the psychology behind why this matters: how literature builds theory of mind, how naming our emotions helps us process implicit memories, and why untranslatable words like Schadenfreude and saudade reveal blind spots in our own emotional vocabulary. In this episode you will learn: (00:00) How a Johns Hopkins study on intellectual talent led me from taking the SAT in sixth grade to skipping into college at fifteen (02:43) Why my college honors program wanted humanities depth I didn't have, and how I vastly overestimated my ability to learn languages fast enough to read literature in the original (04:42) What inspired me to build reader.winklers.us, a free tool that handles the tedious dictionary work while deliberately leaving syntax to the reader for a deeper, more meditative experience (07:09) How literature builds theory of mind and why that matters for long term relationships, a concept I explore further in my book Love Quotient: Stop Dying of Thirst in an Ocean of Love (08:00) What "name it to tame it" means, and how explicit versus implicit memory processing shapes our emotional coping (09:35) Why words like Schadenfreude, Waldeinsamkeit, and saudade reveal the blind spots baked into any single language or culture Let’s connect! linktr.ee/drprandy Read, with computer assistance, the best literature the world has ever produced andrew-winkler-reading-room.overskill.app Love Quotient: Stop Dying of Thirst in an Ocean of Love Kickstarter https://www.kickstarter.com/projects/amwphd/love-quotient Hosted on Acast. See acast.com/privacy for more information.
#50
August 13 · 20 min
Why AI Is a Wave You Can Either Surf or Get Crushed By
I open this episode with a story from my childhood: a dam that broke above my uncle's farm, and two California kids who survived the flash flood only because they knew how to surf a wave instead of fighting it. That's exactly how I think about AI right now. It's a massive wave bearing down on all of us, and whether it becomes a wonderful tool or something that crushes us depends entirely on whether we learn to ride it. I walk through what happened when I went from writing off AI-generated code as "laughable" last fall to building real, deployable tools with it today, including the Andrew Winkler Reading Room, a free app that lets you read over a hundred of the world's greatest books in their original languages, from Homer's Greek to modern Japanese. In the second half, I get honest about what it's actually like working with AI day to day. I talk about building "Gentle Reader," a feature that lets language learners dive into real literature with only 70 to 75% vocabulary instead of waiting until they hit 95%, and the surprising detective work it took to get ancient and modern Japanese texts working properly. I also share where AI still struggles: its short-term memory lapses, its tendency to patch symptoms instead of solving root problems, and what my ongoing project to restore Don Quixote from a centuries-old scan taught me about "wisdom of crowds" and a 250-year-old quote from Sir Joshua Reynolds that turned out to apply just as much to machines as it does to us. In this episode you will learn: (00:00) Why I compare AI to a wave that can either be surfed or can crush you, using a story about a dam breaking above my uncle's farm (03:14) How the Andrew Winkler Reading Room lets you read the Odyssey and other classics in their original Greek, with every word's form, meaning, and pronunciation just a click away (06:06) What "Gentle Reader" is and why lowering the vocabulary threshold from 95% to 70-75% makes it possible to start reading real literature much sooner (09:04) Why I chose books like Wizard of Oz, Aesop's Fables in Chinese, and Nicholas Nickleby in Italian to fill gaps where no natural "great work" existed at the right reading level (12:01) What made Japanese the hardest language to build, including the challenge of AI handling ancient versus modern Japanese grammar and meaning shifts (14:54) Why AI models have what I call a "short-term memory slash auditory processing disorder," and how the "Attention Is All You Need" paper changed the game but didn't fully solve it (17:48) What my Don Quixote restoration project, removing decades of ink bleed and yellowing, then building a font from "wisdom of crowds," taught me about AI's tendency to avoid the real labor of thinking Let’s connect! linktr.ee/drprandy Read, with computer assistance, the best literature the world has ever produced andrew-winkler-reading-room.overskill.app Love Quotient: Stop Dying of Thirst in an Ocean of Love Kickstarter https://www.kickstarter.com/projects/amwphd/love-quotient Hosted on Acast. See acast.com/privacy for more information.
#49
July 23 · 25 min
Why I Built an AI Reading Tool for Ancient Languages (And What Six Months of AI Progress Taught Me)
I'm digging into something that's genuinely changed how I spend my free time: using AI to build the tool I've wished existed for decades, one that helps me read the world's great literature in its original language. I tell the story of a chance dinner with a Hertz Fellow who turned out to be a major figure at Anthropic, and how that connection eventually led me back to a project I'd tried and abandoned before, a computer-assisted reader for Greek, Latin, Hebrew, and Aramaic texts. Six months ago, the AI models I tried couldn't get past writing a single working line of code. This time was different, and I walk through exactly what changed, what these models are actually good at, and where they still fall apart. I also get into the weeds a bit, sharing my process for getting better results out of these tools, why my public writing on Quora turns out to matter, and a wild multi-round debugging session with Gemini that kept insisting it had "finally" found all the bugs. I close with a personal aside into a physics insight I've been chasing since the 1970s, and how an AI helped me push it further, even if I lost most of the conversation to a very avoidable software glitch. Along the way I make my case for why AI right now is best thought of as a tireless, brilliant, but occasionally hallucinating army of interns, not a replacement for human judgment. In this episode you will learn: (00:00) How a chance dinner with a Hertz Fellow connected to Anthropic changed my skepticism about the current state of AI (03:37) Why I've always wished a computer could do the tedious lexical lookup work of reading Greek, Latin, Hebrew, and Aramaic texts (06:35) What large language models actually are under the hood, and why they can "spout like an idiot" and "pontificate like a sage" with equal ease (08:57) The multi-round debugging saga where Gemini kept insisting it had found the last bug, and the last bug, and the last bug (11:48) What gets lost in translation, using the hidden joke behind Don Quixote's horse Rocinante as an example (14:43) Inside the Andrew Winkler Reading Room, from the Septuagint to Shakespeare, and why computers and humans make a great reading team (17:10) My feature requests for Google and Apple after losing valuable AI conversations to a silent clipboard failure (19:36) Why I think of AI right now as an army of knowledgeable but wisdom-less interns, and what that means for companies rushing to replace workers with it (22:01) The physics insight I've been sitting on since the 1970s, and how AI helped me extend it into the standard model (24:28) What was lost when my breakthrough AI conversation on unit-free physics vanished, and why I'm sharing the story anyway Let’s connect! linktr.ee/drprandy Read, with computer assistance, the best literature the world has ever produced andrew-winkler-reading-room.overskill.app Love Quotient: Stop Dying of Thirst in an Ocean of Love Kickstarter https://www.kickstarter.com/projects/amwphd/love-quotient Hosted on Acast. See acast.com/privacy for more information.
#48
July 9 · 29 min
Pride and Prejudice, Personality Feedback Loops, and AI-Powered Reading Tools
Today I'm talking about something that's been on my mind as I've been writing Love Quotient: the two feedback loops that quietly corrode almost every relationship we have. I explain how our dominant cognitive function becomes our personal "channel" for expressing and receiving love, and why a mismatch with the people we care about can spiral into the exact same withdrawal on both sides, until the relationship falls apart. From there I dive into Pride and Prejudice, using what I know about personality and temperament to offer a fresh, more sympathetic read on Mr. Bennett and the entailment that hangs over the Bennet family. I also share a personal story about my border collies that mirrors his situation surprisingly well. Then I take a hard turn into artificial intelligence, walking through how I used "vibe coding" to build a free tool that helps you read the world's great literature, in the original Greek, Latin, Hebrew, and Aramaic, with computer-assisted definitions built right in. In this episode you will learn: (00:00) Why our relationships are being steadily corroded by two feedback loops we rarely notice (02:27) How our dominant cognitive function becomes our personal channel for expressing and receiving love (05:15) What entailment meant for the Bennet family and why it set the entire plot of Pride and Prejudice in motion (08:22) Why Mrs. Bennett was so openly focused on marrying off her daughters to rich men (11:57) How "goodness of fit" and temperament theory give us a more sympathetic read on Mr. Bennett's parenting (15:32) What my border collies taught me about Mr. Bennett's distance from his younger daughters (18:45) Why artificial intelligence is simultaneously overhyped and underhyped right now (18:45) How human and machine intelligence complement each other when it comes to parsing language (22:01) How I used "vibe coding" to build a reading tool from scratch in a single day (24:45) What's inside the Andrew Winkler Reading Room, from the Septuagint to Shakespeare to Ulysses Let’s connect! linktr.ee/drprandy Read, with computer assistance, the best literature the world has ever produced andrew-winkler-reading-room.overskill.app Love Quotient: Stop Dying of Thirst in an Ocean of Love Kickstarter https://www.kickstarter.com/projects/amwphd/love-quotient Hosted on Acast. See acast.com/privacy for more information.
#47
June 18 · 12 min
Why Tax Software Is Broken (And What Vectors Really Are)
Today I'm tackling something a little different: taxes. After spending years writing my book Love Quotient and other projects in physics and math, I funded that work through earnings in the tech sector, specifically long-term capital gains. That led me into a maze of federal versus California tax treatment, amended returns, and a frustrating "screw you letter" from the IRS demanding paperwork they could have processed themselves if they'd just shared their own software with taxpayers. I talk about why that doesn't happen, who benefits from keeping it that way, and the surprising silver lining: California's tax agency was actually reasonable to deal with, which genuinely surprised me. Then I shift gears completely into something I've been working on for the past year: a new way of understanding scalar and vector quantities in physics. I unpack why "scalars" like mass, temperature, and length aren't really scalars at all, but one-dimensional vectors tied to units, and how units themselves function as bases for these vector spaces. From there, I show how ordinary vector quantities like force and velocity are tensor products of geometric vectors with these one-dimensional magnitude spaces, and how this framework recovers the classic magnitude-and-direction picture of physics in a cleaner, more unified way. In this episode you will learn: (00:00) Why I ended up filing amended tax returns after years of writing my book and research projects (03:43) Why government tax agencies don't give taxpayers access to their own processing software (04:18) How political incentives keep tax prep companies like H&R Block and Liberty Tax in business (06:00) Why "scalar" quantities like mass and temperature aren't actually scalars (09:27) How units function as bases for one-dimensional vector spaces (10:00) Why changing units works exactly like a change of basis for vectors (10:47) How to recover both magnitude and direction from this unified framework Let’s connect! linktr.ee/drprandy Hosted on Acast. See acast.com/privacy for more information.
#46
June 4 · 26 min
Why Your Relationships Are Slowly Falling Apart — And How Your Love Quotient Can Save Them
In today's episode, I'm sharing the core insights from my new book, Love Quotient: Stop Dying of Thirst in an Ocean of Love — and my goal is to give you everything you need to transform your most important relationships. Welcome to Now I Get It with Dr. Andy. I'm talking about one of the most painful and preventable dynamics in relationships: the slow drift that happens when two people are pouring love into a connection, but neither one can feel it. The culprit isn't a lack of caring — it's a mismatch in cognitive functions. I walk through the four core ways we process the world — sensing, thinking, feeling, and intuition — and why we each only mature some of these functions while others stay dormant. That gap is precisely where love gets lost. Tune in as I explore how to identify your loved one's dominant cognitive type through something as simple as their gestures or walk, and how to bridge the gap between the love you're giving and the love they actually feel. Whether you're navigating a marriage, a friendship, or a professional dynamic, this episode gives you a practical framework for turning a drifting relationship into one that deepens every day. In this episode, you will learn: (00:27) We only fully mature half of our cognitive functions in a lifetime (05:09) Most relationships break down because love is sent in a form the other can't perceive (07:45) Each cognitive function has its own unique language of love (08:30) Four hand gestures reveal a person's dominant cognitive type (13:00) The way someone walks maps to their relationship dynamic (19:54) Combining gesture and walk pinpoints exactly what your loved one needs (22:10) Attuning to your loved one triggers them to give you the love you need in return Let’s connect! linktr.ee/drprandy Hosted on Acast. See acast.com/privacy for more information.
#45
May 21 · 11 min
How AI Really Works: Large Language Models, Human Intelligence, and the Math Behind the Magic
What if artificial intelligence doesn't replace human intelligence — it amplifies it? And what if the quality of what you bring to AI is exactly what determines what you get back? Welcome to Now I Get It with Dr. Andy. I'm Andrew Winkler, and in this episode I'm taking a deep dive into one of the most consequential technologies of our time: large language models. I break down how these systems are built on surprisingly elegant mathematics, why language itself has a hidden statistical structure that makes AI possible, and what it really means for how we interact with these powerful tools. Tune in as I explore the neural network foundations that underpin modern AI, unpack the "garbage in, garbage out" principle in its most precise form, and reveal why the most important thing you can bring to an AI conversation is your own intelligence and curiosity. In this episode, you will learn: (00:27) Neural networks are built on elegant mathematics (01:15) One nonlinearity unlocks AI's power to model anything (02:47) Models extract signal, not just memorize data (04:30) Language has a hidden statistical structure AI can learn (08:30) AI defaults to average intelligence without strong context (09:03) Smarter input produces smarter AI output (09:45) AI amplifies human intelligence — it doesn't replace it Let’s connect! linktr.ee/drprandy Hosted on Acast. See acast.com/privacy for more information.
#44
May 7 · 26 min
Why Mud, Logs, and Bugs Beat Plastic Toys: The Science of Proprioception and Nature-Based Play
Welcome back to Now I Get It with Dr. Andy. I'm sitting down once again with Angela McEwen, our resident expert in early childhood development, to dig into one of the most overlooked secrets of raising healthy, capable kids — proprioception. Angela has spent decades in childcare, including helping coordinate San Francisco's childcare response during the pandemic, and what she's discovered about the role of natural play environments is something every parent and educator needs to hear. In this conversation, Angela shares the remarkable results from a nature-based outdoor redesign pilot program at her San Francisco preschool — and what happened blew even her away. For the first time in her career, children developed proprioceptive skills entirely on their own, without any formal instruction, simply by playing with logs, mud, and the natural world around them. We also get into why full-body sensory experiences — from jumping into pools to rolling in the dirt — matter more than flashcards or structured fine motor activities, and how giving kids a little controlled risk teaches them to trust themselves for a lifetime. In this episode, you will learn: (01:01) How animal movement games build proprioception in young children (02:54) Why rushing kids into formal schooling before age seven backfires (05:30) The nature-based playground redesign — and its surprising results (09:49) The Olympian study: why trampolines and full-body impact matter (14:57) Why peeling bark and picking berries beat fine motor activities (19:59) Why a little controlled stress builds lifelong resilience Let’s connect! linktr.ee/drprandy Hosted on Acast. See acast.com/privacy for more information.
#43
April 23 · 25 min
Why Every Child Feels Loved Differently — And How to Use That Knowledge
In this episode, I sit down with early childhood education expert Angela McEwen to explore one of the most transformative ideas I've encountered in how my work on love languages translates beyond romantic relationships — all the way into the classroom and the home. Angela has been applying the framework from my book directly with her preschool students, and the results are nothing short of remarkable. From a non-English-speaking boy who finally felt seen, to a chore wheel that stopped sparking resentment, her stories are vivid proof that when you meet a child where they are, connection follows naturally. We dig into the difference between equality and equity — why giving every child the same thing isn't the same as giving every child what they actually need — and how that insight can transform the way teachers and parents show up. Angela also introduces the early childhood concept of "goodness of fit," and I share how it maps directly onto personality types and love languages. Whether you're a teacher managing a room of 30 or a parent trying to decode why your kids respond so differently to the same parenting approach, this conversation offers a practical, eye-opening framework for fostering real connection. In this episode, you will learn: (03:11) Equity vs. equality: giving kids what they actually need (03:14) Breaking through a language barrier using love languages (05:23) The chore wheel hack that makes everyone happier (07:13) Primary vs. gesture love languages — and what a child crawling into a lap reveals (10:10) How "goodness of fit" connects to personality type and love language (12:16) The "inspector" type: why criticism is actually deep care (15:18) Creating moments for a rule-oriented child to shine (18:23) Why physical touch kids just need a hug before and after circle time (21:51) How to handle "I want something at the store" by love language (23:22) The two kinds of gift-givers — and why letting one pick their own misses the point Let’s connect! linktr.ee/drprandy Hosted on Acast. See acast.com/privacy for more information.
#42
April 9 · 15 min
Why Giving Kids Control Is the Secret to Calming Them Down
Every parent has been there — the meltdown, the screaming, the feeling that nothing you say or do is going to get through. This week, I sat down again with early childhood expert Angela MacEwen, whose decades of experience caring for children (including those who've experienced significant trauma) have given her a remarkably clear-eyed understanding of what kids actually need in their most challenging moments. Welcome to Now I Get It with Dr. Andy. Angela walks us through some of the most practical and surprisingly simple strategies for helping children regulate their emotions — from redirecting a screaming child by giving them a job to do, to why you should never try to reason with a toddler mid-tantrum. We also get into the big stuff: why a motel pool beats Disneyland every time, why finding a roly poly on the way to school might be your child's core memory of the year, and how nurturing children — especially those who've experienced hardship — is just as healing for the caregiver as it is for the child. In this episode, you will learn: (01:02) Why the need for control is at the root of children's tantrums (02:00) How giving kids a simple task can de-escalate even the most intense meltdowns (03:05) Why you should never attempt conflict resolution during a big emotion (03:40) The twins story: how redirecting a furious child to pour water brought his anger back to calm (06:21) Why kids remember the motel pool more than Disneyland (08:19) How to reframe everyday moments as potential core memories (09:07) Why pajamas at school are fine — and how to address it without an argument (11:14) How helping others is a powerful antidote to anxiety for adults and children alike Let’s connect! linktr.ee/drprandy Hosted on Acast. See acast.com/privacy for more information.
#41
March 30 · 14 min
How Children's Love Languages Can Transform Your Parenting and Classroom — with Angela MacEwen
In this episode of Now I Get It with Dr. Andy, I'm joined by Angela MacEwen, a veteran child development expert who helped design San Francisco's citywide childcare plan during COVID-19. Angela shares how she applied the concepts from my upcoming book, Love Quotient: Stop Dying of Thirst in an Ocean of Love, inside her preschool classroom — identifying each child's love language through body language and personality cues, and even rethinking classroom chore charts so only the kids who genuinely love them get to do them. We also explore one of the most surprising truths Angela has observed across 30 years: it's rarely the big, expensive experiences that become a child's core memories. It's the quiet moments — a worm remembered, a truck ride to the dump, a teacher who played dinosaurs on the floor. Angela offers practical strategies for parents who want to create a more intentional emotional environment, including a personal story about breaking a generational cycle of yelling in her own family. In this episode, you will learn: (00:04) Angela's background as San Francisco's pandemic childcare plan architect (01:41) How love languages apply not just to partners, but to children in the classroom (02:45) Why rotating chore charts don't work — and what to do instead (04:57) How to read preschoolers' personality types through their movements and behaviors (06:00) Practical ways to speak each love language in an early childhood setting (08:40) Why children's favorite vacation memories are almost never what parents expect (10:45) How to reframe everyday routines so they become positive core memories (12:30) Angela's personal story of breaking a generational pattern — and what her kids said about it Let’s connect! linktr.ee/drprandy Hosted on Acast. See acast.com/privacy for more information.
#40
March 5 · 25 min
Are Screens Rewiring Our Children's Brains? The Child Development Crisis Every Parent Needs to Hear
Welcome to Now I Get It with Dr. Andy. In this episode, I sit down with Angela MacEwen, a lifelong child development expert and former site supervisor at Friends of St. Francis — a distinguished San Francisco preschool specializing in the care of traumatized children. Angela made headlines during the COVID-19 pandemic when her plan for safely reopening childcare for essential workers became the citywide model. Today, she's bringing an even more urgent message: after decades of working with young children, she has never seen anything like what's happening right now. For the first time in her career, not a single one of the 38 children at her school can summarize a story that has just been read to them. Not one. Angela and I explore what twenty years of unchecked screen exposure has done to children's developing brains — from the erosion of the critical cognitive "pause," to the collapse of both auditory and visual processing, to kids who can decode words on a page but have no idea what those words mean. We also discuss why this generation's problems are showing up even in children born after the pandemic, what the looming rise of AI means for kids who are already struggling, and the surprising solution some schools are already using to fight back. If you are a parent, educator, or anyone who cares about the next generation, this conversation is one you simply cannot afford to miss. In this episode, you will learn: (01:53) Why screens can't replace real-world sensory input for developing brains (03:35) How the disappearance of the cognitive "pause" set the stage for today's focus crisis (08:03) The "Goldilocks test" — and why zero out of 38 preschoolers could pass it (12:34) Why both auditory and visual processing are now being affected (13:08) What toddlers mimicking phone behavior tells us about screen culture (16:55) Why kids are learning to read words without understanding them (18:51) What embodied intelligence is and why screens can't replicate it (22:08) Why the solution isn't eliminating technology — it's protecting kids until their brains are ready Let’s connect! linktr.ee/drprandy Hosted on Acast. See acast.com/privacy for more information.
#39
February 19 · 11 min
Why Police Accountability Protects Every Officer: Understanding Brandishing and the Danger of Normalizing Violence
Today, I tackle one of the most critical and challenging conversations we need to have in America right now—the intersection of law enforcement heroism and accountability. While there are truly heroic police officers who risk their lives to protect and serve and deserve our deepest gratitude, recent events have forced us to confront systemic issues that threaten the safety of everyone, including the good officers themselves. Welcome to this important episode of Now I Get It with Dr. Andy. I'm exploring the legal concept of brandishing weapons, examining why the official response to questionable shootings is so dangerous, and explaining how normalizing violence by officers in uniform puts every single law enforcement officer at greater risk. I'll also discuss why systemic cover-ups exist, how senators are responding, and why we must maintain perspective while demanding full accountability. This isn't about being anti-police—it's about protecting the integrity of law enforcement and ensuring the safety of both officers and citizens. In this episode, you will learn: (00:00) Why there are truly heroic cops who deserve our deepest gratitude and support (01:30) How systemic cover-ups work, including medical examiners answering to sheriffs (03:11) What brandishing means legally and why it's both illegal and dangerous (04:20) Why we don't fear for our lives when police brandish weapons—and why that presumption is now threatened (06:06) The details of what happened in Minnesota and why it was clearly murder (06:45) How normalizing police violence creates deadly danger for every officer (08:30) Why senators holding up ICE funding is an important accountability measure (09:02) How to maintain perspective: these incidents are still rarities among thousands of honorable officers Let’s connect! linktr.ee/drprandy Hosted on Acast. See acast.com/privacy for more information.
#38
February 5 · 6 min
Uncovering Border Patrol Shooting Patterns: What a 2012 Government Report Reveals About Deadly Force
In this episode of Now I Get It, I'm diving into a 2012 government report that's been sitting on the Customs and Border Patrol website, and what it reveals is deeply disturbing. This report examines patterns in border shooting incidents, particularly those involving motor vehicles, and uncovers a troubling practice where agents may be intentionally positioning themselves in the path of vehicles to create justification for using deadly force. The findings suggest that rather than employing defensive tactics like getting out of the way, some agents are shooting at drivers of non-violent suspects who pose no threat beyond a moving vehicle. What makes this particularly relevant right now is how these patterns mirror what we've witnessed in recent high-profile incidents. I walk you through the specific language in the report that describes how agents create pretexts for shootings, the ineffectiveness of shooting at moving vehicles, and the policy violations that continue to occur. This episode challenges us to pay closer attention to law enforcement practices, recognize dangerous patterns, and demand greater accountability when deadly force is used under questionable circumstances. In this episode, you will learn: (00:00) The context behind disturbing border patrol shooting patterns and why I'm examining this government report now (01:19) What the 2012 Customs and Border Patrol report reveals about shootings at motor vehicles (02:46) The pattern of agents positioning themselves in vehicle exit paths to justify deadly force (02:46) Why shooting at a moving vehicle is ineffective and creates greater danger (03:18) The actual CBP policy on discharging firearms at moving vehicles and how it's being violated (04:36) How conflicting commands can create pretexts for non-compliance and justify lethal action (05:35) Frame-by-frame analysis findings from a recent incident and the denial of medical aid Let’s connect! linktr.ee/drprandy Hosted on Acast. See acast.com/privacy for more information.
#37
January 15 · 7 min
Love Lost — and Found Again: How to Stop the Relationship Death Spiral Before It’s Too Late
In this episode of Now I Get It, I take a hard, compassionate look at one of the most tragic patterns I see in relationships: what I call the death spiral. It’s the painful process where two people genuinely love each other, yet slowly drift apart—not because love is gone, but because it’s never truly felt. I explain how our personalities shape the way we give and receive love, and why so many couples unknowingly miss each other despite constant effort. I walk through how this spiral begins with good intentions, escalates through frustration and withdrawal, and often ends quietly—when the fighting stops and hope fades. But this episode isn’t about blame or despair. It’s about awareness and repair. By understanding personality-driven love expressions and learning to recognize what truly resonates with your partner, it’s possible to reverse the cycle, rebuild connection, and restore the mutual affection that brought you together in the first place. In this episode, you will learn: (00:00) Why loving someone deeply isn’t enough to sustain a relationship (01:10) How personality shapes the way we give and receive love (02:17) Why both partners often feel they’re giving more than they get (03:15) How “trying harder” can accelerate relational breakdown (04:00) The stages of the relationship death spiral—from criticism to silence (05:11) How understanding love languages tied to personality can reverse the spiral (05:45) How mutual appreciation and attraction can be restored over time Let’s connect! linktr.ee/drprandy Hosted on Acast. See acast.com/privacy for more information.
#36
January 1 · 4 min
When Military Power Crosses a Line: What “Harm’s Way” Really Means in Modern Warfare
Welcome back to Now I Get It. In this episode, I break down a term we hear all the time in national security conversations but rarely slow down to understand: harm’s way. I explore how this concept is traditionally defined in U.S. military policy, why it matters, and how it’s being challenged by the current use of remote warfare. Using the recent drone-led attacks in the Caribbean as a backdrop, I look at what happens when technology distances human operators from physical danger—yet still places the country itself in profound geopolitical risk. I also dig into the overlooked consequences of attacking vessels on the open sea, why the flag a boat flies carries legal and military implications, and how these actions can provoke entirely justified responses from nation-states. From asymmetric warfare to murky acts of sabotage and drone incursions, I explore how conflicts escalate without ever being formally declared—and how decisions made far from the battlefield ripple out to place the entire U.S. military, and even the country, in harm’s way. In this episode, you will learn: (00:00) Why “harm’s way” matters in today’s military decisions (00:23) How drone warfare challenges the War Powers Act (01:03) Why attacking a flagged vessel is an act of war (01:45) How asymmetric warfare enables covert retaliation (02:28) Why murky attacks blur responsibility in global conflict (03:14) How U.S. drone strikes put the entire military at risk Let’s connect! linktr.ee/drprandy Hosted on Acast. See acast.com/privacy for more information.
#35
Dec 18, 2025 · 8 min
How a Government Shutdown Reveals the Dark Reality of U.S. Healthcare Politics
In this episode, I break down what really happened during the recent government shutdown—and why it matters far beyond the headlines. I walk you through how the standoff between Republicans and Democrats over healthcare funding put millions at risk, and how the political maneuvering behind closed doors quietly determined the fate of those lives. From the targeted removal of Obamacare subsidies to deep cuts in Medicaid, I unpack how these policy choices translate into real-world consequences, including tens of thousands of preventable deaths. I also shed light on the lesser-known tactics lawmakers use to avoid accountability—like strategically assigning votes to retiring politicians or those far from reelection. And I grapple with the moral dilemma at the heart of this crisis: When one side is willing to let children go hungry or deny medical care to exert political pressure, how does a functioning democracy respond? It’s a conversation about power, ethics, and the cost of political gamesmanship on human lives. In this episode, you will learn: (00:34) How the shutdown exposed the realities of U.S. healthcare politics (01:10) Why cutting Obamacare subsidies put millions at risk (02:00) How both parties pushed competing plans to reopen the government (02:55) Why eight Democrats crossed party lines at the decisive moment (03:40) How lawmakers hide behind “just enough votes” (04:05) How political timing shields certain legislators from backlash (05:15) The moral dilemma behind letting 50,000 people die vs. starving children (06:30) Why negotiating with political extremism mirrors dealing with a psychopath (07:45) How this same dynamic shows up in war and global conflict (08:20) What the end of the shutdown really means for public health Let’s connect! linktr.ee/drprandy Hosted on Acast. See acast.com/privacy for more information.
#34
Dec 4, 2025 · 8 min
The Hidden Power of “Paltry”: How Half-Truths Shape What We Believe
In this episode of Now I Get It, I take you into the subtle—but dangerous—world of paltry: the art of lying by telling nothing but the truth. Through stories pulled from literature, current events, and political reporting, I show how selective truth-telling can create powerful false impressions without ever crossing the line into an outright lie. It’s a communication tactic hiding in plain sight, and once you see it, you start noticing it everywhere. I share examples from Pride and Prejudice, the Ghislaine Maxwell/Jeffrey Epstein media coverage, and recent reporting on healthcare legislation and government shutdowns. Together, we unpack how missing context can distort public understanding, why accountability in storytelling matters, and how we as consumers of information can learn to recognize when we're being told “the truth”—but not the whole truth. In this episode, you will learn: (00:30) How “paltry” allows someone to lie while saying only true things (01:05) How Wickham misleads Elizabeth in Pride and Prejudice (02:30) How media reporting on Epstein and Maxwell omitted essential context (03:45) Why “repeal and replace Obamacare” was always a misleading claim (05:30) How government shutdown coverage distorted both parties’ roles (07:20) How to spot selective truth-telling in everyday news Let’s connect! linktr.ee/drprandy Hosted on Acast. See acast.com/privacy for more information.

Showing 1–20 of 24 episodes