Regret Score Decisions

A framework for evaluating life decisions based on statistical "regret scores" - measuring what percentage of people regret specific life choices to help guide decision-making.

Core Concept

• Track percentage of people who regret vs. don't regret major life decisions
• Use this data to make more informed choices about similar decisions
• Example: Only 2% of egg donors regret their decision, while 83% would donate again

Key Benefits

• Provides data-driven approach to decision making
• Helps quantify emotional/personal decisions
• Allows comparison between different life choices
• Can reveal surprisingly low regret rates for seemingly risky decisions

Framework Application Example: Egg Donation

• 83% would donate again
• Only 2% regret their decision
• Shows very high satisfaction rate
• Data suggests it's a relatively "safe" decision from regret perspective

Potential Applications

• Major life decisions
• Career choices
• Medical procedures
• Personal investments
• Lifestyle changes

Limitations

• Need large sample sizes for accurate data
• Individual circumstances may vary
• Surveys can be biased or unreliable
• Past results don't guarantee future outcomes

The speakers suggest this framework could be valuable for making better life decisions by understanding the statistical likelihood of regret, though they acknowledge more data collection would be needed across various life choices.