6 ms·
Correlation != causation
by s_esser 9y ago
Correlation != causation
- djsumdog 9y agoYea, the percentage stated is super low. It might be true, but the data isn't enough to reflect the statement.
- bckygldstn 9y agoThe title of the NPR article would be more accurate as "Cities See a Reduction in Ambulance Usage After Uber is Introduced". The paper looks at 700 different cities, each with a different Uber market entry time over a two year period. The researchers also control for some seasonality effects. Perhaps more covariates could have been considered, but this seems like a pretty decent design to measure a before/after causal effect.