I seriously considered becoming a molecular biologist, and did all the graduate-level coursework needed for a PhD. It was stuff like this that convinced me not to. [“Hanging around in labs,” p. 11.]pic.twitter.com/EgsNphhoqR
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E.g. if you assume knowledge consists of datastructures representing fopc wffs, you inevitably hit a combinatorial explosion. So we applied modus tolens, and concluded that knowledge can’t be datastructures or wffs or anything like that. Our program Pengi did fine without them.
ah, the thing where you can't proceduralize a scientist. (or an engineer or mechanic for that matter.) yes, that's quite true.
"shit, the mysterious phenomenon was due to a difference in the manufacturing process" comes from outside, it's not like you had a preexisting model with a node for the manufacturing process. you don't have a sample space, you have to have "room" to "add stuff from the void".
Garfinkel contrasts our use of the contingencies with his. I think I know where he’s going with this, but I’m live-tweeting his paper as I’m reading it, and am just starting to read that section, so stay tuned!
Right! So this is why Garfinkel is studying the daily hassles of lab science. The point is that nature is “obstinate and recalcitrant,” so you can’t just make up nice stories about it. You want “instructably reproducible phenomena,” and that’s what’s hard to get.pic.twitter.com/LyaZKf3N2j
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