Limits of Cliometrics

Lesson 5: Beyond the Algorithm

Quantitative Methods for Causal Inference

Methodological Critique

What Data Cannot See

Statistical models are powerful, but they operate on aggregation. History often turns on the particular.

The Reductionism Trap

"Reducing a social movement to a regression coefficient risks losing the human agency that defined it."

Psychological Shifts

Collective mood and sudden panics.

Cultural Meanings

The symbolic value of objects/actions.

Individual Agency

The "Great Man" or "Great Woman" outliers.

The Causal Conflict

The Regression Says:

"The strike of 1892 was caused by a 15% drop in real wages. The coefficient is significant at p < 0.01."

The Diary Says:

"We could have endured the pay cut. But when the foreman slapped the apprentice, we knew the time for talk was over. It was about dignity, not dollars."

The Crisis of Synthesis

The wage cut (quantitative) is the necessary condition, but the slap (qualitative) is the sufficient trigger.

How do we model the trigger?

The Synthesis Approach

Quantitative First

Use clio-metrics to define the "Sample Space." What were the structural constraints? What was even possible?

Qualitative Second

Use archival narratives to explain the "Mechanism." Why did people choose that path among many?

!

"A coefficient without a story is empty; a story without a coefficient is blind."

Closing Seminar

"Does the rise of Big Data in historical research (digitized archives, N-grams) threaten to turn historians into data scientists, or does it provide the very evidence needed to prove the importance of the qualitative 'glitch'?"

Defend Quant

Defend Qual

The Limits of Cliometrics

The Limits of Cliometrics Slides

Quantifiers Dilemma Case Study