Collectively, as a scientific community, we have so many blind spots. I remember running into one of these blind spots about 15 years ago.
The term “backwards design” is often applied to curriculum design. If you want your students to learn a particular thing, you start with identifying what that outcome should look like at the end of the semester. Then you design your class backwards from that outcome, to make sure your students have a way to get there.
I think we should be talking more about backwards design when when it comes to statistics and the design of experimental and observational research.
Journalists call the key passage of each story a “nut graf.” Shouldn’t we have a “nut fig” for each experiment, and know what the axes and statistical tests will be before we run an experiment?
We typically need manipulative experiments to truly know how a biological system works.
Nevertheless, on most days, I feel that the subculture of ecology suffers from a fetish for manipulative experiments. In some cases, people design experiments that don’t entirely make sense because they know that the reviewers and the community will value that experiment more than observational research. Even if the experiment isn’t really that informative.