A historically reliable recession predictor, the Conference Board's Composite Leading Indicator, has been declining for years and experienced a peak-to-trough drop that has always preceded a recession. Its failure to correctly signal one in the 2022-2023 period shows how even trusted indicators can be fallible in the current economy.

The standard Sahm Rule recession indicator previously failed. A new version, adjusted for volatile labor force participation, has a perfect track record and has been triggered for three consecutive months, suggesting the U.S. is currently in a recession despite positive GDP.

The true signal of a recession is not just falling equities, but falling equities combined with an aggressive bid for long-duration bonds (like TLT). If the long end of the curve isn't rallying during a selloff, the market is likely repricing growth, not panicking about a recession.

To formally change its baseline forecast to a recession, the firm employs a high-conviction rule of thumb. The internal probability must exceed two-thirds, ensuring there is a high degree of confidence and only a one-third chance of being wrong before making such a significant shift in outlook.

The Sahm Rule provides a clear signal that a recession has begun: when the three-month moving average unemployment rate rises by more than 0.5 percentage points above its low from the previous year. This metric is useful for cutting through noise and identifying when a slowly weakening job market has definitively tipped into a downturn.

A Moody's machine learning model, which analyzes leading economic indicators, had already calculated a 48.6% probability of recession *before* the Iran conflict began. The primary driver for this high reading was a deteriorating labor market, indicating underlying economic weakness.

While any individual economic indicator can be misleading or explained away by unique factors, a collective alignment of multiple, diverse signals (like commodities, specific equities, and bond yields) creates a powerful, trustworthy forecast for stronger global growth.

An economist created an AI agent that scrapes prediction markets, Wall Street analyst reports, and social media to produce a consolidated, real-time report on recession probabilities. It provides averages, distribution analysis, and corrects for nuances like differing time horizons in market data.

The primary risk to the economy is a deteriorating labor market. A further increase of just a few tenths of a percentage point in the unemployment rate would trigger the "Sahm Rule," a historical regularity that reliably predicts recessions. This could spark a negative feedback loop in consumer confidence and spending.