A link between low interest rates and low crime (2016)

A 2016 claim that low interest rates are linked to lower crime prompts scrutiny of whether the relationship is causal or just a spurious correlation. Commenters highlight the difficulty of proving causation in social science, pointing to confounding factors like unemployment, inflation, inequality, policing levels, data quality, and even lead exposure as alternative explanations. The exchange reflects broader skepticism about headline-ready economic findings and emphasizes the need for better evidence before using such correlations to guide policy.

Correlation vs. Causation

  • Many commenters stress that the observed link between interest rates and crime may be purely correlational or even spurious.
  • Classic “ice cream vs. drownings” and other spurious-correlation examples are invoked to caution against over‑interpreting the graphs.
  • Some argue that with so many “hump-shaped” time series, it’s easy to match two that peak together by chance.

Standards of Evidence & Social Science Limits

  • Several comments contrast “gold standard” randomized experiments in physical/medical sciences with the difficulty of running macroeconomic or crime experiments.
  • Natural experiments and cross‑country/longitudinal replication are suggested as best-available tools in social sciences, but their philosophical status is debated.
  • The reproducibility crisis and high-profile fraud cases are cited as reasons to be cautious about “surprising” social‑science findings, though others argue replication rates are not as dire.

Proposed Mechanisms Between Interest Rates and Crime

  • One line of discussion supports a causal path: higher rates → higher unemployment/financial stress → more crime.
  • Some note that even without unemployment effects, higher debt costs and reduced access to credit can push financially stressed people toward crime.
  • A minority suggests a broader “seasonality” or contagious waves in human behavior (including consumption and crime), but this is challenged as implausible.

Data Quality and Crime Measurement

  • The article’s reliance on Uniform Crime Reports is criticized because they track reported crimes, not actual incidence.
  • Alternatives proposed: victimization surveys, insurance claims, health data (e.g., stabbings). Each has its own biases.
  • One commenter notes the article did consider imprisonment rates, arguing they lag crime and may even increase it.

Alternative Explanations & Confounders

  • Economic stability and general economic conditions are widely seen as central drivers of crime, possibly co-moving with rates.
  • Wealth inequality is proposed as a “real” underlying link to crime, with interest rates possibly just signaling shifting advantages to those with capital.
  • The lead–crime hypothesis is raised as a more tightly supported environmental explanation for violent crime trends.

Macroeconomic and Policy Debates

  • There is disagreement over whether higher interest rates reliably reduce inflation, with examples cited both for and against.
  • International cases (e.g., Japan, Turkey) are mentioned to challenge simple rate–inflation narratives.
  • Some commenters extend the discussion into broader critiques of debt‑based systems, government incentives, and policing budgets, but causation here remains unclear.