Money

Swedish Study Claims 45 Percent of Investing Behavior Controlled by Genetics

My First Million · I put 80% of my money in the S&P · May 11, 2026

My First Million

I put 80% of my money in the S&P

"He looked at the differences between fraternal twins and identical twins and he broke it up into 6 biases. The results that he found was basically that 45% of savings and investing patterns of behaviors was genetic, which I find to be astounding."

A 2014 Swedish study by researcher Heinrich analyzed 30,000 sets of twins using Sweden's twin database and wealth tax records to determine genetic influence on financial behavior. The study identified six key investment biases including holding too few stocks, excess turnover, performance chasing, home bias, lottery-type stock preference, and refusing to sell losers. The findings challenge conventional wisdom that financial education alone determines investment success.

About this episode

In this My First Million podcast episode, hosts Sam Parr and Shaan Puri explore how genetics, personality, and AI are reshaping careers, investing, and corporate structure. The conversation opens with a provocative 2014 Swedish study analyzing 30,000 twin pairs that concluded 45% of investing and savings behavior is genetically determined, using Sweden's unique twin database and comprehensive wealth tax records. Puri argues this demonstrates that understanding human nature matters more than financial knowledge for investment success, citing examples of how investor Mohnish Pabrai discovered through personality assessment that he was fundamentally suited for solo, competitive, numbers-based games rather than team management. The discussion shifts to AI's transformation of work, particularly Jack Dorsey's reported restructuring of Block to position AI as the central decision-making brain with humans serving as information nodes rather than the traditional model of AI as assistant. They examine Citrini Research's controversial thesis that AI productivity gains could trigger an economic death spiral through white-collar job displacement and wage collapse, which briefly crashed markets. The episode concludes with striking examples of AI in daily life, including former GitHub CEO Nat Friedman using Claude AI connected to home cameras and genetic data to monitor and control his health behaviors, and the emerging case of GitLab founder Sid using AI to treat his cancer. Throughout, the hosts grapple with how technological shifts constantly redefine which opportunities and business models will succeed, drawing parallels between today's AI revolution and previous platform shifts from social networks to marketplaces to crypto.

Key takeaways

Swedish twin study of 30,000 pairs concluded 45% of investing and savings behavior is genetically predetermined based on six behavioral biases.
Jack Dorsey reportedly restructuring Block with AI as central decision-maker and humans as information nodes, inverting traditional corporate hierarchy.
Citrini Research thesis triggered market sell-off by arguing AI productivity gains will cause economic collapse through wage-spending death spiral.
Former GitHub CEO Nat Friedman uses Claude AI connected to home cameras and genetic data to monitor and control health behaviors like hydration.
Mohnish Pabrai discovered through personality assessment he was suited for solo competitive numbers-based games, leading to pivot from entrepreneurship to investing.
GitLab founder Sid reportedly using AI to treat his cancer with positive results, representing frontier of AI-driven personalized medicine.
Daniel Gross proposed aesthetic data centers as solution to public opposition, citing historical examples like Rockefeller Center as reputation laundering.