Now I Get It, with Dr. Andy

In this episode of Now I Get It, I explore the fascinating intersection of language, culture, and gender identity—and how our words shape the way we perceive human difference. I dive into how languages like Chinese, English, and German handle gender differently, showing that grammatical gender often has nothing to do with biological sex. What started as simple sound harmonies and linguistic structures in ancient languages evolved into the gender categories we use today, even though the roots were never about “male” or “female” at all.From there, I take a closer look at the biological complexity of sex differentiation—and why the tidy binary of “male” and “female” doesn’t capture the real diversity of human biology. Through examples like androgen insensitivity syndrome and variations in the SRY gene, I show how genetics and hormones don’t always align neatly with societal definitions of gender or sex. The result? A compelling case for rethinking how we talk about identity and embracing the spectrum that actually exists.In this episode, you will learn:(00:45) How language structures gender—and why some languages don’t even have it(02:30) The origins of grammatical gender and how it accidentally became tied to sex(03:50) Why English mostly lost grammatical gender (and what remains of it today)(04:20) What the SRY gene is and how it determines sex differentiation(05:10) The role of androgen insensitivity and how it challenges binary assumptions(06:30) Real-world examples of chromosomal diversity beyond XX and XY(07:40) Why our cultural obsession with binaries doesn’t match biological or linguistic realityLet’s connect!linktr.ee/drprandy

In this episode of Now I Get It, I dive deep into how cultural differences shape the United States—past and present. Drawing from Geert Hofstede’s groundbreaking IBM studies, I explore how nations differ across dimensions like inequality, gender roles, religion, and individuality. Through that lens, I connect these global cultural frameworks to America’s own fragmented identity—how early immigrant roots, regional histories, and moral certainties have divided and defined the country’s political landscape.I also unpack how gender distinctions, religion, and attitudes toward uncertainty influence everything from politics to personality. From Appalachian independence to New England collectivism, from authoritarian comfort to improvisational freedom, these cultural currents still ripple through every debate we have today. Understanding them, I argue, is the first step toward finding balance amid the chaos.In this episode, you will learn:(00:00) How IBM’s cultural research helps explain America’s divided identity(03:10) Why early immigrant settlements still shape regional attitudes centuries later(04:46) The political fault line between equality and inequality in U.S. ideology(08:51) How gender, religion, and cultural “masculinity” define national outlooks(11:57) The psychology of authoritarianism and the comfort of conformity(15:40) Why improvisers crave freedom while stabilizers seek safety(17:49) How time orientation—past, present, or future—shapes cultural behavior(21:30) The historical tug-of-war between Boston and Charleston—and what it still means todayLet’s connect!linktr.ee/drprandy

In this episode of Now I Get It, I dive into the hidden logic behind borders—why they exist where they do, and how geography quietly shapes the course of world history. From the frozen plains of Russia to the mountains of Ukraine, I explore how natural barriers like rivers, lakes, and mountain ranges determine a nation’s defensibility—and how the absence of these barriers has fueled centuries of conquest, paranoia, and power struggles.We’ll unpack how historical trauma and geography combine to drive geopolitical decisions, often leading nations to create the very dangers they fear most. Using Russia’s ongoing conflict with Ukraine as a case study, I explore how geography’s invisible hand still dictates modern strategy, politics, and security—and how the destruction of natural defenses like wetlands may have left Europe more vulnerable than ever before.In this episode, you will learn:(00:45) Why geography—and not just politics—defines how nations form and defend themselves(02:30) The contrast between Europe’s natural borders and Asia’s open expanses—and why it matters(03:40) How Russia’s fear of invasion is rooted in centuries of trauma and geography(05:10) Why Putin’s war in Ukraine is both strategic and self-defeating(06:45) The hidden value of wetlands and natural barriers in modern defense(07:50) How fear-driven decisions create the very threats nations seek to avoidLet’s connect!linktr.ee/drprandy

In this episode of Now I Get It, I explore why simply memorizing formulas in math—or blindly trusting any model—can lead to catastrophic outcomes. I take a hard look back at the financial meltdown and show how a lack of deep understanding, not just fraud, helped steer us into crisis. It wasn’t that the models themselves were flawed; it was that people used them without grasping their limits, breaking the very assumptions they were built on.From there, I connect the dots to today’s frontier: artificial intelligence. We dive into how AI has evolved, from early struggles to today’s large language models, and why what looks like intelligence is often just really good pattern-matching (and yes, BS-ing). But the stakes are far higher than math class. Whether it’s driverless cars, legal briefs, or drones in warfare, AI is already reshaping society—and the real danger is how humans will choose to use it. I close with a challenge: educate yourself, because the future of AI depends on whether we use it wisely or repeat history’s mistakes.In this episode, you will learn:(00:34) Why “just following formulas” in math can lead to real-world disasters(01:17) How the Quaker ethic of honesty once fueled prosperity—and why forgetting it hurt us(02:46) What went wrong with financial models during the meltdown and why users misunderstood them(04:12) The mechanistic view of intelligence and why building AI always takes longer than expected(05:40) How large language models mastered BSing—and why their “hallucinations” fool even experts(07:08) Why AI-driven drones and robots raise dangerous questions about life-and-death decisions(09:06) How society normalizes new tech—from Waymo cars to armed robots—and why awareness mattersLet’s connect!linktr.ee/drprandy

Have you ever felt unloved—even when surrounded by people who care for you? In this episode of Now I Get It, I unpack the paradox of “dying of thirst in an ocean of love.” Just like seawater can’t quench your thirst, love that isn’t recognized or understood can leave us feeling empty, no matter how much is actually there.Through a metaphor-rich exploration, I walk you through four key questions we unconsciously ask when processing love—Is it? What is it? What is it worth? What does it mean? By looking at these questions and how different orientations shape the ways we give and receive affection, you’ll discover why love languages go unnoticed and how to become more attuned to the forms of love flowing around you.In this episode, you will learn:(00:30) Why being surrounded by love doesn’t matter if you can’t recognize how it’s expressed(02:10) The four questions that shape how we notice, value, and interpret love(03:15) How sensory experiences and traditions can be overlooked as love languages(05:00) Why some people show love through acts of service while others prefer shared ideas(06:45) How focusing on feelings, values, and unity reveals hidden expressions of care(08:30) Why surprises, symbols, and shared visions of the future are powerful ways to give and receive loveLet’s connect!linktr.ee/drprandy

When it comes to business, measurement is everything—or at least, that’s what we like to believe. In this episode of Now I Get It, I dive into the hidden traps of relying on metrics as tools for rewards or punishments and how doing so destroys their actual value. I also unpack how numbers get gamed, why this leaves businesses flying blind, and what the latest economic data reveals about our collective blind spots.But the conversation doesn’t stop there. We explore the Heisenberg effect and how the very act of measurement changes the thing being measured—sometimes in subtle but important ways. And to ground this in real-world decision-making, I connect it all back to probability and betting, showing how the logic of a wager can help us sharpen our understanding of risk and make smarter, more informed choices in business and life.In this episode, you will learn:(00:22) Why using metrics as rewards or punishments destroys their value(01:10) How the jobs report reveals deeper problems in measurement(01:49) What the Heisenberg principle teaches us about observation and change(02:47) The difference between interaction that alters a system and interaction that doesn’t(04:15) How probability reflects the information we already have, not the future(05:00) Why betting is the clearest metaphor for making decisions under uncertaintyLet’s connect!linktr.ee/drprandy