The Crypto Gateway Drug (EP.222)

Episode Summary

Executive Summary: The episode jumps from market analogs and mega-cap turnover to crypto’s chaos, then covers housing, college enrollment, Social Security, BNPL, and entertainment. The hosts argue that historical charts are useful but often misleading, crypto is still building real financial infrastructure yet remains rife with scams and leverage, and housing/college/Social Security narratives are often overstated relative to underlying data.

Main Topics: Historical analogs and market chart comparisons (Priority: 5/5): The hosts discuss how easy it is to find charts that appear to match past patterns—growth vs. value, top stocks turnover, and other analogs—but caution that visual similarity often seduces investors into false certainty. Mega-cap concentration and turnover (Priority: 5/5): They compare the 2011 S&P 500 top names with today’s top names, noting substantial turnover historically while debating whether today’s dominant tech firms are more durable than skeptics think. Crypto, stablecoins, and Coinbase vs. the SEC (Priority: 5/5): A major segment focuses on the Coinbase Wells notice, stablecoins as a gateway into crypto, crypto lending/yield products, and the risks of leverage, runs, and regulatory conflict. SPACs, bubbles, and market mania (Priority: 4/5): They reflect on the SPAC boom as a pandemic-era phenomenon and use it to discuss how manias rise and fade, plus how social media may create smaller, more fragmented bubbles. Housing, rents, and real estate affordability (Priority: 4/5): The hosts compare U.S. housing with other developed markets, note low flipping activity and declining delinquencies, and discuss rent inflation and household formation pressures. College enrollment and men falling behind (Priority: 4/5): They discuss the Journal’s piece on fewer men in college, noting rising female college shares, potential long-run wage and household-formation effects, and concerns about disengaged young men. Social Security, BNPL, and entertainment/media habits (Priority: 3/5): The show closes with a debunking of Social Security doom headlines, a brief discussion of buy-now-pay-later and inflation, and some movie/TV recommendations and complaints about streaming-theater hybrid releases.

Key Arguments: Charts that look similar across time can mislead because lines naturally can only move up, down, or sideways; visual analogy is not causation. Historical turnover at the top of the market is real, but the current mega-cap tech leaders may have more runway than older industrial or energy giants did. Crypto’s high yields exist largely because the market still lacks mature banking and lending infrastructure, which also creates leverage and run risk. Stablecoins could become a major on-ramp to crypto, analogous to money market funds in the 1970s/80s, but adoption may be slowed by investor inertia and trust concerns. The SEC’s resistance to yield-bearing crypto products may reflect concern that they could mainstream crypto too quickly. SPACs were a pandemic-era craze that is not disappearing, but the easy-money, free-IPO-pop narrative has clearly faded. U.S. housing is expensive, but relative to income it is less extreme than housing in several other developed countries; the real picture is more nuanced than headlines suggest. Low house-flipping activity and low delinquency rates argue against a simplistic “speculative bubble” narrative in housing. Fewer men in college may be a social risk because disconnected young men are more likely to become disaffected and vulnerable to fringe movements. Social Security is not ‘running out’; projected funding gaps imply benefit adjustments or federal backfill, not zero benefits. Buy-now-pay-later may increase conversions and spending, but financing costs are likely embedded in prices and could encourage overspending. The entertainment industry is being reshaped by streaming releases, though the hosts disagree on whether theater-going still matters.

Data Points: U.S. savings deposits at commercial banks: close to $10 trillion - Amount of money sitting in bank savings accounts since the pandemic spike Average savings account rate at brick-and-mortar banks: 6 basis points - Average yield on commercial bank savings deposits Growth vs. value analog period: 1998 peak to 2001 vs. Jan. 2019 to Dec. 2020/21 - Chart comparison discussed as a misleading market analog Top S&P 500 names turnover: ~50% turnover rate - Comparison of S&P 500 largest stocks in Sept. 2011 vs. today Collective market cap of top tech names: close to $10 trillion - Approximate combined size of major mega-cap tech stocks today SPAC peak market cap: $350 billion - Used to argue the cash at risk in unfinished SPACs may not be huge Crypto scam/wealth example: Sam Bankman-Fried worth more than Charlie Munger, Leon Cooperman, and Howard Marks combined - Illustrates the extreme wealth created in crypto Stablecoin market size: $27 billion in circulation - USDC cited as the biggest stablecoin Blockchain startup funding in Q1: $2.6 billion - Funding raised by 129 blockchain-focused startups in the first quarter Blockchain startup funding in 2020: $2.3 billion - Used as a comparison to show accelerating investment College student gender split: Women 59.5%, men 40.5% - All-time high female share of college students at the close of the 2021 academic year Lifetime earnings premium for college grads: more than $1 million - Average over working life versus only a high school diploma Top 10 home-sale flips: 2.7% of sales - Lowest proportion of flipped home sales since at least 2000 Disposable income vs. housing prices in U.S.: real disposable income has outpaced housing prices since 1975 - Used to argue U.S. housing affordability is better than some think Australia home prices since 1975: up about 3,000% - Compared with about 700% in the U.S. U.S. home prices since 1975: up about 700% - Nominal gain benchmark in the housing comparison Social Security payroll coverage in 2033/34: 76% covered - Projected amount covered by payroll taxes when trust funds are depleted Social Security payroll coverage by 2095: 74% covered - Long-run projection showing the program does not go to zero NYU publishing master’s degree outcome: $116,000 median borrowed; $42,000 median annual income - Example of poor return on certain advanced degrees Crypto loan example: $14,000 loan - Borrowed in Tether stablecoin to buy Ethereum and trade NFTs Stablecoin borrowing rate example: 10% interest - Borrowing against Bitcoin to avoid selling and taxes BNPL conversion lift: 11% higher conversions - Scalapay claim about buy-now-pay-later performance BNPL spending lift: 48% more per shopper - Scalapay claim about average consumer spending increase Asset value example: $2.1 million Roth IRA - Listener’s wife’s Roth IRA from penny-stock swing trading Listener account growth: $40K to $2.1 million - Listener’s Roth IRA growth over time Individual account balance: $350,000 - Listener’s non-retirement liquid assets Home equity: 35% equity in a $1 million home - Listener’s household balance-sheet detail

Pivotal Quotes: "Past was not prologue." — Ben Carlson / Michael Batnick: Reaction to a market analog chart that initially appeared predictive but later diverged "Man is the ape that imitates, tells stories, seeks status, morally condemns others, and yearns for the good old days, all of which guarantee a human future studded with religious and financial mass manias." — William Bernstein (quoted by the hosts): Used to frame bubbles, crowds, and the psychology of financial manias "If you're getting 8%, that's certainly not for your emergency reserve. That is not an emergency reserve because the risk is it goes to zero." — Zach Prince (referenced by the hosts): On the hidden risk in high-yield crypto/stablecoin products

Implications: Listeners should treat market analogs and sensational headlines skeptically. Crypto may be building real infrastructure, but leverage and regulatory risk remain high. Housing, college, and Social Security are more nuanced than doom narratives suggest, and today’s media/market environment is likely to produce smaller, faster-moving manias.