Model: See complete model at https://squigglehub.org/models/dmartin89/fermi-contest. Note that it is a literate program, the program source itself with comments is intended to be judged.
Summary: This estimate challenges the common framing of climate migration as purely a humanitarian and economic burden by quantifying its potential positive impact on innovation. The most surprising finding is the scale of the potential innovation dividend - nearly 300,000 additional patents worth approximately $148 billion over 30 years. This suggests that climate migration, if properly supported, could partially offset its own costs through accelerated innovation.
The model reveals several counterintuitive insights:
The concentration of migrants in innovation hubs could be more valuable than even distribution
Network effects from increased diversity could nearly double innovation rates in affected areas
The per-capita innovation value ($4,582 per migrant) is significant enough to justify substantial integration investment
Technique: This estimate was developed using Claude 3.5 Sonnet to gather and analyze data from multiple sources, cross-reference historical patterns, and validate assumptions. The model deliberately takes a conservative approach to avoid overestimation while still revealing significant potential benefits, while quantifying its uncertainty.
Model: See complete model at https://squigglehub.org/models/dmartin89/fermi-contest. Note that it is a literate program, the program source itself with comments is intended to be judged.
Summary: This estimate challenges the common framing of climate migration as purely a humanitarian and economic burden by quantifying its potential positive impact on innovation. The most surprising finding is the scale of the potential innovation dividend - nearly 300,000 additional patents worth approximately $148 billion over 30 years. This suggests that climate migration, if properly supported, could partially offset its own costs through accelerated innovation.
The model reveals several counterintuitive insights:
Technique: This estimate was developed using Claude 3.5 Sonnet to gather and analyze data from multiple sources, cross-reference historical patterns, and validate assumptions. The model deliberately takes a conservative approach to avoid overestimation while still revealing significant potential benefits, while quantifying its uncertainty.