Wealth Formula Podcast Podcast Por Buck Joffrey arte de portada

Wealth Formula Podcast

Wealth Formula Podcast

De: Buck Joffrey
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Financial Education and Entrepreneurship for Professionals Economía Finanzas Personales
Episodios
  • 544: Why the Sahm Rule Matters — and Why the Big Picture Matters More

    544: Why the Sahm Rule Matters — and Why the Big Picture Matters More
    Feb 1 2026
    This week's episode of Wealth Formula features an interview with Claudia Sahm, and I want to share a quick takeaway before you listen — because she's often misunderstood in the headlines. First, a quick explanation of the Sahm Rule, in plain English. The rule looks at unemployment and asks a very simple question: Has the unemployment rate started rising meaningfully from its recent low? Specifically, if the three-month average unemployment rate rises by 0.5% or more above its lowest level over the past year, the Sahm Rule is triggered. Historically, that has happened early in every U.S. recession since World War II. That's why it gets cited so much. And to be clear — it's cited a lot. The Sahm Rule is tracked by the Federal Reserve, Treasury economists, Wall Street banks, macro funds, and economic research shops globally. When it triggers, it shows up everywhere. That's not by accident. Claudia built one of the cleanest early-warning indicators we have. But here's the part that often gets lost. The Sahm Rule is not a market-timing tool and it's not a prediction machine. Claudia emphasized this repeatedly. It was designed as a policy signal — a way to say, "Hey, if unemployment is rising this fast, waiting too long to respond makes things worse." In other words, it's a call to action for policymakers, not a command for investors to panic. What makes this cycle unusual — and why talking to Claudia directly was so helpful — is what's actually driving the data. We're not seeing mass layoffs. Layoffs remain low by historical standards. What we're seeing instead is very weak hiring. Companies aren't firing people — they're just not expanding. That distinction matters. And this is where I think the big picture comes in — not just for understanding the economy, but for investing in general. When you step back, the big picture includes a government with massive debt loads that needs interest rates to come down over time. It includes fiscal pressures that make prolonged high rates politically and economically painful. And it includes the reality that if the current Fed leadership won't ease fast enough, future leadership will. History tells us that governments eventually get the monetary conditions they need — even if it takes time, even if it takes new appointments, and even if it takes a shift toward a more dovish Federal Reserve. That doesn't mean reckless money printing tomorrow. But it does mean that structurally high rates are unlikely to be permanent. And when you combine that with investing, the question becomes less about this month's headline and more about what's positioned to benefit when the environment normalizes. That's why I continue to focus on real assets that are already deeply discounted — things like multifamily real estate — assets that were repriced brutally during the rate shock, but still sit at the center of a growing, rent-dependent economy. This conversation with Claudia reinforced something I've been talking about for a long time: The biggest investing mistakes usually happen when people zoom in too far and forget to zoom back out. I've made this mistake myself. If you want a thoughtful, non-sensational, data-driven discussion about where we actually are in this cycle — and what the indicators really mean — I think you'll get a lot out of this episode.
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    48 m
  • 543: Avoiding Misinformation in the Era of Fake News

    543: Avoiding Misinformation in the Era of Fake News
    Jan 25 2026
    One of the biggest risks people face when trying to understand the economy, investing, or personal finance isn't a lack of information. It's the illusion of being informed—while quietly limiting the sources that shape your thinking. We live in a world where information is everywhere. Podcasts, X threads, YouTube clips, newsletters, reels. But abundance doesn't equal diversity. In fact, the algorithms behind social media are designed to do the opposite: they show you more of what you already agree with. Over time, your worldview narrows—not because you chose it to, but because it was curated for you. I noticed this years ago when I started listening to alternative asset podcasts. At first, it felt refreshing—new ideas, new language, new opportunities outside the mainstream. But after a while, something became obvious. Many of these shows were operating inside an echo chamber. Different hosts. Same conclusions. Same narratives. Same villains. Same heroes. It was as if they were all listening to one another and simply regurgitating the same ideas, reinforcing them in a closed loop until they felt like truth. And to be fair—knowing many of these hosts personally—that's often the business model. Audience reinforcement is rewarded. Dissent is not. Ever since then, I've made a conscious effort to study people I don't naturally agree with. Not because I want to adopt their views—but because I want to stress-test my own. This matters more now than ever because social media accelerates groupthink at scale. When an idea gains traction online, disagreement quickly becomes social friction. It's easier to conform, retweet, and nod along than to pause and ask, "What if this is wrong?" I once had a conversation with Robert Kiyosaki where he told me he actually gets worried when everyone in the room agrees about the economy. When viewpoints converge too neatly, it's usually a sign that critical thinking has been replaced by consensus comfort—and that's exactly where blindsides are born. If your goal is to get closer to the truth, you must seek out opinions that challenge your own. That includes people you disagree with—especially people you disagree with. Truth doesn't emerge from unanimity. It emerges from tension. And that applies to me as well. Don't let me—or anyone else—be your sole source of information. No matter how much you trust someone, outsourcing your thinking is always a risk. I can tell you from personal experience that in economics and personal finance, narrow perspectives lead to surprises you only recognize in hindsight. Those are the moments people regret most—not because they lacked intelligence, but because they lacked perspective. Financial education is critical. But a real curriculum doesn't just confirm what you already believe. It exposes you to competing frameworks, conflicting data, and uncomfortable questions—and forces you to think for yourself. That's how you build conviction that actually holds up when the world changes. This week's episode of Wealth Formula Podcast examines this groupthink problem on a broader scale throughout society with an author who wrote a bestseller on our inherent appetite for misinformation. It's a fascinating conversation that will surely get you thinking about the way you view the world.
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    38 m
  • 542: Why Investors CANNOT Ignore AI and Blockchain

    542: Why Investors CANNOT Ignore AI and Blockchain
    Jan 18 2026
    The Wealth Formula Podcast is one of the longest-running personal finance podcasts still standing. For more than a decade, I've shown up every single week to talk about investing, markets, and the forces shaping the economy. What's interesting is how much my own thinking has evolved over that time. Early on, I was more rigid. I was—and still am—a real estate guy. But back then, I didn't give much thought to ideas outside that lane. I was dogmatic, and I didn't always challenge my own beliefs. Time has a way of doing that for you. I've now lived through multiple market cycles. I've watched the stock market melt up to valuations that felt absurd—and then keep going. I've seen gold go from flat for a decade to parabolic over a year. I've seen interest rates sit near zero for a decade and then snap higher at the fastest pace in modern history. And I've learned, sometimes the hard way, that diversification is about survival and that every asset class has its day. One lesson I learned that I am thinking a lot about these days is: ignore major technological shifts at your own peril. Back in 2014, I first started hearing people talk seriously about Bitcoin. At the time, I dismissed it. I listened to the critics, was convinced it was a scam, and didn't take the time to truly understand it. That was a mistake—not because everyone should have bought Bitcoin, but because I ignored a structural change happening right in front of me. Bitcoin went from a cypherpunk expression of freedom to the largest ETF owned by BlackRock. Today, the dominant story is artificial intelligence. And whether you love stocks, hate stocks, prefer real estate, or focus exclusively on cash flow, you cannot afford to ignore AI. This isn't a fad. It's a general-purpose technology—on the scale of electricity, the internet, or the industrial revolution itself. That doesn't mean it's easy to invest in. It's hard to look at headline names trading at massive valuations and feel good about buying them today. But investing in AI isn't about chasing a single company. It's about understanding second- and third-order effects: energy demand, data centers, productivity gains, labor displacement, capital flows, and how blockchain and decentralized systems intersect with all of it. What experience has taught me is this: you don't need to be first to invest—but you do need to be early in understanding. If you wait until something feels obvious, most of the opportunity is already gone. This week's episode of the Wealth Formula Podcast is focused squarely on AI and blockchain—what's real, what's noise, and where the long-term implications may lie. Listen to this episode. You'll come away smarter. And years from now, you may look back and realize this was one of those moments where paying attention really mattered.
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    53 m
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