Reading List

Curated readings that bridge academic work to disciplined practice. Notes reflect our fit‑first, field‑validated perspective.

Field Experiments & Measurement

• Gerber & Green: Field Experiments: Design, Analysis, and Interpretation. Why: gold standard on real‑world causal inference.
• Hubbard: How to Measure Anything. Why: practical quantification and decision analysis.
• DellaVigna & Linos: RCTs to Scale (paper). Why: government trials show real‑world effect sizes (≈1–2%).

Behavioral Design & Practice

• Wendel: Designing for Behavior Change. Why: practical behavior design patterns.
• Eyal: Hooked (critically). Why: understand engagement mechanics; apply ethically and with fit.
• Fogg: Tiny Habits (critically). Why: behavior scaffolding; fit and value still come first.

Judgment & Decision Making (with caveats)

• Kahneman: Thinking, Fast and Slow (critically). Why: useful mental models; many lab effects don’t travel.
• Gigerenzer: Risk Savvy. Why: heuristics as ecological rationality; complements over bias framing.

Replication & Critiques

• Gal & Rucker: The Loss of Loss Aversion (paper). Why: loss aversion is not generally larger than gains.
• Ert & Erev et al.: Acceptable Losses (paper). Why: debatable origins and misrepresentations around loss aversion.

Domain Bridges

• Mullainathan & Shafir: Scarcity. Why: context constraints and bandwidth; design implications.
• Banerjee & Duflo: Poor Economics. Why: disciplined field research and intervention design.

Use these as a starting point; validate locally with small field pilots and behavior metrics.