Apr 13, 2018 · 28m · y-combinator
Anne Wojcicki : How to Build the Future · Y Combinator
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this Y Combinator interview hosted by Sam Altman, 23andMe co-founder and CEO Anne Wojcicki shares the vision behind direct-to-consumer genetics, discussing how personal data ownership, scientific rigor, and persistent execution can transform modern healthcare.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. How this is scored →
speaking balance: gold is the partners, purple is the guest (3 minute bins)
Wojcicki directly counters Altman's assumption that general lifestyle rules apply equally to everyone, pointing out wide biological variance where some individuals tolerate high sugar or smoke without disease.
Hardest push from the partners ▶ 26:02 Pushing on common sense health discoveriesAltman presses Wojcicki on whether 23andMe has discovered non-obvious general health trends, noting that basic advice like avoiding soda is already common knowledge.
Biggest teaching moment ▶ 4:36 1969 JAMA study on physician paternalismWojcicki provides historical perspective on medical paternalism by citing a 1969 JAMA study where over 90% of physicians surveyed admitted they would not tell a patient their cancer diagnosis.
The partners hold their own ▶ 16:44 Net output framework on toxic hiresAltman demonstrates management expertise by sharing his framework for evaluating high-performing but toxic employees based on their net negative impact on the broader organization.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | The partners as informed peer | Guest teaching | Guest disagreement | The partners pushing back | Why |
|---|---|---|---|---|---|---|
| Founding Story of 23andMe & Healthcare Vision | 2 | 3 | 1 | 0 | Altman opens with standard introductory questions. Wojcicki provides a detailed background on how Wall Street taught her that the healthcare system is structured to monetize illness rather than incentivize health. | |
| Designing Direct-to-Consumer Healthcare & Overcoming Systemic Resistance | 4 | 5 | 1 | 0 | Altman quotes Charlie Munger on incentives and recalls industry backlash at 23andMe's launch. Wojcicki schools the discussion with medical history, citing early resistance to home pregnancy tests and a 1969 JAMA study on cancer disclosures. | |
| Fixing Healthcare Incentives & Individual Responsibility | 3 | 3 | 1 | 0 | Altman asks how to fix systemic incentives, and Wojcicki outlines single-payer dynamics and individual responsibility. Altman notes the intersection of genetics and crowdsourcing. | |
| Early Company Launch, Navigating the 'Trough of Sorrow,' and Building Scientific Credibili | 3 | 2 | 0 | 0 | Altman inquires about managing the 'trough of sorrow' post-launch. Wojcicki explains how slow sales led her to do hundreds of talks and publish peer-reviewed papers to build scientific credibility. | |
| Critical Early Decisions & Hiring for Humility | 4 | 2 | 0 | 0 | Wojcicki describes hiring early scientists with humility over ego. Altman contributes his own organizational framework regarding evaluating a hire's net output on the entire team. | |
| Navigating FDA Regulation & Working with Government Agencies | 3 | 3 | 1 | 0 | Altman asks about operating in a heavily regulated domain. Wojcicki candidly reflects on how 23andMe had to shift away from Silicon Valley argumentative habits to respecting the FDA's public safety mandate. | |
| Long-Term Vision, Strategic Persistence, and Compound Growth | 3 | 1 | 0 | 0 | Altman and Wojcicki align on the power of strategic persistence, comparing the slow build of biotech impact to compound growth. | |
| The Next Decade: Large Datasets, Intervention Studies, and Longevity Vision | 4 | 4 | 2 | 2 | Altman questions whether health insights go beyond obvious rules like avoiding soda. Wojcicki counters by explaining genetic variability in metabolism and highlights large-scale intervention studies. |