E50: Crypto investing deep dive, Facebook's whistleblower fallout, Chappelle's new special & more

Treat most crypto exposure as a professionalized, diversified bet—not DIY stock picking.

The hosts emphasize that crypto is too broad and fast-moving (distributed computing, cryptography, economics, infra) for casual investors to reliably pick winners; they instead back specialized managers (e. ...

Differentiate between ‘conviction assets’ you love and trades you should rebalance.

They argue investors should distinguish between assets that embody ideas you want to own long-term versus pure trades, and that large, early wins (100x+) still demand risk management and partial profit-taking.

Don’t invest in crypto by rank-order market cap or price alone.

Chamath calls it “stupid” to buy tokens just because they’re high on a list or look cheap, noting that Helium, DeSo, and Discord-like projects all have radically different use cases, success paths, and underlying assumptions.

Use structured products (ETFs, mutual funds, institutional custody) to access crypto safely.

The group highlights products like Bitwise’s crypto index and institutional custodians like BitGo as realistic on-ramps for institutions and regular investors, especially as US regulators warm to ETFs and clearer rules.

Use regulation to enforce transparency and reserves in stablecoins, not to kill innovation.

They criticize Tether’s opaque and risky reserve practices, praise USDC’s move to 100% cash/cash equivalents, and suggest stablecoins should be regulated like money-market funds, with clear reserve and disclosure requirements.

Be wary of new speech regulators that can define ‘misinformation’ and control algorithms.

Sacks argues Haugen’s real proposal is a powerful new oversight body staffed by insiders like her, which would effectively sit over Facebook’s newsfeed and risk partisan control of what counts as acceptable speech or ‘misinformation.’

Engagement algorithms reflect and amplify human psychology more than corporate malice.

Friedberg and Chamath frame social algorithms as real-time versions of what editors have always done—optimize for what drives reaction—arguing the ugly output is largely a mirror of human appetites for emotional, sensational content rather than uniquely evil code.