Statistics: not lying is harder than you think

In order to make sense of the data I collect, I use statistics. The statistical tools available for data analysis these days are pretty incredible, leaps and bounds ahead of the simple, classical statistics like chi-square, which worked great – if you had perfect data.

Field biologists like me don’t have perfect data. We have really, really terrible data, from a statistical perspective. We have unbalanced sample sizes, measuring 15 birds here, 21 here, 9 there; we have data with weird things in common, like measurements from different groups of nestlings, some of which are siblings; and we always have tons of noise in our data – because it was weirdly rainy that year, and also hot, and also the oak trees put out more acorns than usual, and that one chick was from a runt egg, and…

Excuse me, I generate only AWESOME data.

Excuse me, I generate only AWESOME data.

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