3 ms·
This is a very important thing to consider when interpreting this statistic. "Heart attack rates go up 24% after daylight savings changes" is not the same thin
by p1necone 3y ago
This is a very important thing to consider when interpreting this statistic.
"Heart attack rates go up 24% after daylight savings changes" is not the same thing as "There are 24% more heart attacks due to daylight savings". You can't really know the weight of magnitude vs distribution without actually stopping daylight savings.
- clircle 3y agoor by conducting some causal inference with a load of identification assumptions