A study analyzing 782 New York metro ZIPs over 26 years found that gentrification signals like coffee shop openings lag home price increases by about four years, making them poor predictors of future appreciation. A machine learning model ranking ZIPs by multiple factors achieved only modest one-year predictive power (+0.44) and performed worse than chance at ten-year horizons, suggesting real estate cycles are driven more by current market conditions than cultural markers.