(This article was originally published at Statistical Modeling, Causal Inference, and Social Science, and syndicated at StatsBlogs.)
I’m going to follow up on a recent post of Thomas Basbøll and argue that patience is an important, and I think under-appreciated, practice in research.
This is an odd post for me to write because I’m usually not a patient person. In some ways, though, and surprising as it may sound, blogging is a good way for me to exercise my patience. I’m writing this on 2 Sept (at 3:55 in the afternoon, I’m still coming down from the high of teaching two classes so no way I can do real work, and it’s not 4pm so I can’t yet read my email) but I’ve scheduled it to appear on 18 Oct, at the current spot at the end of the queue. I love the feedback from commenters (in the old days, I also loved when I’d get reactions from other blogs, but we don’t see so much of that anymore), but I’ll patiently wait a month and a half for that.
Anyway, I don’t have anything deep to say here, just the commonplace notion that we typically have to try lots of things until we get some success. And apparent success is often illusory. (Obligatory link here to that 50 shades of gray paper.) The fractal nature of discovery.
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