# Blog posts on statistics

## 2022

- Paying for the truth (Sep 1)
- Pre-screening evidence (Mar 2)
- Communicating science (Feb 23)
- Hypothesis tests and Bayesian reasoning (Jan 6)

## 2021

- Learning from noisy signals (Oct 23)
- Snowball sampling bias in program evaluation (Sep 4)
- Improving human predictions (Aug 17)
- Coefficients of correlated regressors (Jul 7)
- Dyadic dependence (Feb 10)
- Ordinary and total least squares (Jan 11)

## 2020

- Estimating sensitive parameters (Oct 21)
- Lessons from Dave MarĂ© (Aug 16)
- Understanding selection bias (Jul 3)
- Transitivity in positive correlations (Apr 24)
- Greedy Pig strategies (Apr 18)
- Uniform sums and Euler’s number (Mar 9)
- Centrality rankings with noisy edge sets (Feb 14)