Use Designers in Data Analysis

The last time inflation was unusually high, the economist Robert Lucas wrote a paper criticizing policy evaluation by performing statistical analysis on historical aggregates. It is now known as the Lucas Critique (not to be confused with the more common Lucas Critique concerning the Star Wars prequels). The paper (“Econometric Policy Evaluation: A Critique”) does … Continue reading Use Designers in Data Analysis →

Saving the mean

We are better at statistics than we normally get credit for. Greater statistical literacy is still important, since more data is being used to persuade, but our overall understanding has gotten better. One example of this improvement is that most people reading analysis will know that the arithmetic mean can be shifted by excessively large … Continue reading Saving the mean →

Uncertainty in Game Data

We do not know how useful most games analysis is. More developers and analysts are sharing their analysis publicly but regularly miss one measure that would make the results significantly more helpful. This measure is the variability of the estimate. It helps to think about what is being measured when applying statistics. Most of the … Continue reading Uncertainty in Game Data →