Have a sneer percolating in your system but not enough time/energy to make a whole post about it? Go forth and be mid - welcome to the Stubsack, your first port of call for learning fresh Awful you’ll near-instantly regret.
Any awful.systems sub may be subsneered in this subthread, techtakes or no.
If your sneer seems higher quality than you thought, feel free to cut’n’paste it into its own post — there’s no quota for posting and the bar really isn’t that high.
The post Xitter web has spawned so many “esoteric” right wing freaks, but there’s no appropriate sneer-space for them. I’m talking redscare-ish, reality challenged “culture critics” who write about everything but understand nothing. I’m talking about reply-guys who make the same 6 tweets about the same 3 subjects. They’re inescapable at this point, yet I don’t see them mocked (as much as they should be)
Like, there was one dude a while back who insisted that women couldn’t be surgeons because they didn’t believe in the moon or in stars? I think each and every one of these guys is uniquely fucked up and if I can’t escape them, I would love to sneer at them.
(Credit and/or blame to David Gerard for starting this. Apologies for not getting the previous one up - my old laptop died)


Really bumping up against this taking a math class. It’s not just the ick feeling of getting slapped with a Google AI rendition that may or may not be accurate. There’s at least 4 or 5 other vendors, Chegg and the like, doing the same thing but keeping their explanations behind a login wall. That’s the entire first page of Google search results now. Of course, simply copying and pasting questions from a textbook is a terrible search strategy. But I still wish I could find a durable math Q&A community that wasn’t slop-adjacent.
Which math class?
Calculus III, vector calculus
Well, that at least I’m reasonably prepared to answer questions about.
Here’s a free online textbook that may be useful. I’d also recommend grabbing a copy of Mary L. Boas’ Mathematical Methods in the Physical Sciences.
Thanks. So far, the questions I missed on the first exam were mainly due to sign errors when calculating determinants for cross-products, so that’s a simple enough fix I suppose. I’ve seen some of the material before, as halfway through the last time I took Calc 3 was when the Covid lockdowns hit. Even though classes are back in-person, this current instructor is still presenting most of the material in static notes and lecture videos online, so it’s still a tough adaptation for me. We’re using the James Stewart text that is pretty common everywhere, though thankfully the instructor has set it up so I don’t have to pay for ebook access yet again.
I picked up the famous Spivak text a few years ago, and am only just now working up the courage to crack it open. I’ve had a few years’ gap in between classes, so reviewing the earlier material with more proofs involved is probably a worthwhile exercise in any event. I’m given to understand that particular text is something of an on-ramp to real analysis. I’ve been considering trying for a math minor once I transfer for engineering, and it seems like real and/or numerical analysis would be two of the prime upper-division classes for that.
Yeah, there’s not much to be done about sign errors, other than practicing problems until you reach the point where you always make an even number of them.
You might not need it for this course, but cross products got easier for me once I learned my way around the Levi-Civita_symbol and the Einstein summation convention. This is covered in chapter 10 of Boas’ book; she cites Evett (1966).
Real analysis is definitely the kind of course that can benefit from an on-ramp. It’s often a student’s first encounter with proofs that involve a lot of machinery: theorem after theorem of epsilon-delta business to establish something that you didn’t doubt in the first place. I think it’s easy to get lost in the details there, particularly if care isn’t taken to explain what confusions these methods were devised to avoid.
limiting to .edu or ye olde mathematics stack exchange might get you part of the way, in addition to the previous suggestions. Lots of good stuff on old university websites!
I’m glad I studied when hyperphysics was top of the search results. Education now seems miserable.
You can get a local copy of all of hyperphysics