this post was submitted on 26 May 2024
241 points (98.4% liked)

Science Memes

10970 readers
2108 users here now

Welcome to c/science_memes @ Mander.xyz!

A place for majestic STEMLORD peacocking, as well as memes about the realities of working in a lab.



Rules

  1. Don't throw mud. Behave like an intellectual and remember the human.
  2. Keep it rooted (on topic).
  3. No spam.
  4. Infographics welcome, get schooled.

This is a science community. We use the Dawkins definition of meme.



Research Committee

Other Mander Communities

Science and Research

Biology and Life Sciences

Physical Sciences

Humanities and Social Sciences

Practical and Applied Sciences

Memes

Miscellaneous

founded 2 years ago
MODERATORS
 
top 6 comments
sorted by: hot top controversial new old
[–] [email protected] 28 points 5 months ago* (last edited 5 months ago)

Add some whonky Akkadian math. Pretty sure most people will just sort of not say anything and pretend they understand it.

(Just like I’m doing with the meme…)

[–] [email protected] 12 points 5 months ago (1 children)

Man I was already lost as fuck in calc 2 but then they started asking me to prove shit and I was like "arent you supposed to prove this to me, not the other way around?"

[–] [email protected] 3 points 5 months ago

To be fair, having an understanding of how a particular formula or relationship was discovered and proved makes it a lot easier to remember and intuit the possible applications. Like, even the basic stuff like connecting derivatives to slopes and rates of growth helps you partially recreate the formulas for them, if you didn't memorize them symbol for symbol

[–] [email protected] 8 points 5 months ago

I am bad at statistics, and have no clue what those tests are. But damm I do relate. This is how doing the statistics project and exam felt.

[–] [email protected] 6 points 5 months ago

Don't forget E[X] <= max(X).

[–] [email protected] 4 points 5 months ago

Whatever it takes to prove that √(log k/ε² + log log n) error bound with 95% probability – "probably almost correct" – what else do you need, really?