I Stole a Wall Street Trick to Solve a Google Trends Data Problem

Google Trends data is normalized per-country, making cross-country comparisons impossible by default. After exploring and debunking naive approaches (like using worldwide subregion ratios), the author borrows a concept from finance: building a basket of representative search terms (similar to a stock market index like the S&P 500) to create a common benchmark. By calculating absolute search volumes using internet user population data and a basket of popular terms, the author discovers that when measuring motivation as a proportion of total search volume, all scaling factors cancel out — simplifying the final calculation while validating the methodology's soundness.