The original is one click away. Open original ↗
Ed Thorp and Claude Shannon: beating markets through unusual skill
Executive overview
Most academics insisted markets were perfectly efficient and no one could beat them. Shannon and Thorp proved them wrong — independently, using rigorous math — first in casinos, then on Wall Street.
Shannon invented information theory and later outperformed 1,025 of 1,026 mutual funds using a concentrated buy-and-hold approach. Thorp invented card counting, built a wearable roulette computer, and ran a hedge fund returning 15.1% annually over 19 years vs. the S&P's 8%.
Both relied on the Kelly Criterion: bet a fixed fraction of your bankroll proportional to your edge. Never risk ruin. The contrast with LTCM — which ignored Kelly and imploded — illustrates why this principle matters.
Only compete where you have a genuine edge; never accept any risk of losing everything.
Claude Shannon: from information theory to investing
- Invented information theory in the late 1940s — the mathematical foundation of computers, the internet, and all digital media
- Described as doing what almost no one had done since the Renaissance: single-handedly founding an important new science
- Worked alone, slept when he felt like it, and spent hours thinking without external input — a habit he shared with Thomas Watson of IBM
- Applied insights from wartime cryptography (Project X with Alan Turing) directly to information theory; the two lines of inquiry were nearly inseparable
- Organized the first major academic AI conference in 1956, decades before the term entered mainstream use
- Began an intensive stock market study in the late 1950s, filling three shelves with ~100 books on investing
How Shannon invested
- Rejected technical analysis outright — price charts are "a very noisy reproduction of the important data"
- Focused on earnings growth plotted on logarithmic paper, drawing trend lines into the future
- Visited technology startups, met management, and became an active Teledyne board member
- Held 81% of his portfolio in a single stock (Teledyne); his three largest positions made up 98% of the portfolio
- Outperformed all but one of 1,026 mutual funds tracked by Barron's in 1986
- Achieved a 28% annual return from the late 1950s through 1986 — slightly above Buffett's 27% over a comparable period
- Operated with his wife and a second-hand Apple II computer, not a large team
Ed Thorp: from physics to blackjack to Wall Street
- Showed exceptional quantitative instincts from childhood — could total grocery bills faster than an adding machine
- Obsessed with maximising skill per hour: measured casino winnings on a per-hour basis and applied the same lens to investing
- Recognised that beating roulette was possible whether wheels were perfect (physics predicts the ball) or flawed (biased numbers)
- Taught himself Fortran to run blackjack simulations on MIT's mainframe IBM 704
- Submitted his blackjack paper through Claude Shannon — the only National Academy member at MIT who was a mathematician
- Collaborated with Shannon to build a wearable roulette computer (cigarette-pack size, 12 transistors, toe switches, earpiece); wiring failures ended the Las Vegas test
- Wrote Beat the Dealer, which sold over a million copies and established card counting
Applying casino math to the stock market
- Stopped casino play after casinos drugged his drink; redirected the same edge-seeking framework to equities
- Lost money speculating on silver early on; concluded: "you are unlikely to get an edge out of what you see in the news"
- Developed delta-hedging of warrants at UC Irvine, turning $40,000 into $100,000 by 1967
- Founded Princeton-Newport Partners with a bi-coastal remote structure — Thorp handled the math in California, Reagan handled investor relations on the East Coast
- Survived Black Monday (October 1987) essentially flat for the month while most funds fell 20%+; returned 34% for the year
- Princeton-Newport's 19-year record: a dollar invested grew to ~$15; 15.1% compound annual return vs. 8% for the S&P
The Kelly Criterion
- Core principle: bet a fixed fraction of your bankroll proportional to your edge; as the bankroll shrinks, bets shrink — you can never be wiped out
- Even unlikely events must eventually occur; anyone who accepts a small risk of ruin will eventually be ruined
- Buffett, Munger, Shannon, and Thorp all used or understood Kelly; Paul Samuelson publicly dismissed it while privately buying Berkshire Hathaway stock
- Thorp's rule: if you don't have an edge, don't bet and don't compete
LTCM: the cost of ignoring Kelly
- Long-Term Capital Management was founded by Merriweather and staffed with Nobel laureates (Merton, Scholes) who believed in efficient markets but exploited tiny temporary mispricings with extreme leverage
- Initial leverage: $29 borrowed for every $1 of investor equity; ballooned to ~60x as losses mounted
- When things went wrong, they increased bets — the opposite of the Kelly system
- Required a US Treasury-coordinated bailout; one partner borrowed $24 million personally to invest more in the fund and ended up with a negative net worth
- Buffett: "How could 10 or 15 guys with an average IQ of maybe 170 get themselves into a position where they can lose all their money?"
- Thorp: LTCM's collapse traced directly to Merton and Scholes's intellectual rejection of the Kelly Criterion
Lessons across both careers
- Past learnings apply in unexpected future contexts: Shannon's wartime cryptography work directly shaped information theory; casino math directly shaped market strategy
- Give yourself time to think without external input — Shannon's best work came from extended solitary reflection
- Watch what people do, not what they say: revealed preference over stated preference
- Concentrated bets in your highest-conviction ideas beat diversification (Shannon, Carnegie, Buffett all converged on this)
- Never interrupt compounding — the RICO raid cost Thorp and his investors far more than any trading loss
- Start where you are: Thorp was 32 and broke before he ever thought seriously about finance
More like this — when you're ready for early access.
Join the waitlist for a personal account and content recommendations based on what you're working on.
No spam. Unsubscribe at any time.
You're on the list. We'll be in touch before launch.