## Advantage 2: They preserve the direct biological meaning of the data (vs. remedial measures)
Murtaughs approach - does it favor just doing significant testing?  Does/How does taking the average of a set of subsampales change the interpretation of the data?
Multilevel models favored by quantitative ecologists b/c we are interest in coming up with estimates of precise quantities and their variances at relevant ecological scales, eg individual level vital rates, population trends
### Examples
Any examples of remedial measures gone bad - meta analysis throwing away information
Others?
Poisson data