this post was submitted on 19 Oct 2024
342 points (99.4% liked)

Science Memes

11068 readers
3386 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
[email protected]
[email protected]
[email protected]
342
Pick some unrelated lectures, they said. (sh.itjust.works)
submitted 4 weeks ago by [email protected] to c/[email protected]
23 comments fedilink hide all child comments
 

It will widen your horizon, they said. And here I was, foolishly thinking I could get away with half-assing statistics during my degree.

all 25 comments
sorted by: hot top controversial new old
[–] dotdi 59 points 4 weeks ago (4 children)

As somebody with a degree in bioinformatics, I have never seen something more true in my whole life.

Some more lies from my time in academia:

  • “Planning and executing medical trials” = 6 months of statistics
  • “Machine Learning” = 6 months of statistics
  • “Pattern Recognition” = 6 months of statistics
  • “Health Data Science” = 6 months of statistics
  • Biostatistics = lol jk just 6 months of statistics
[–] SpaceNoodle 15 points 4 weeks ago (2 children)

Biostatistics was the only part of my biomedical engineering PhD course load that I enjoyed

Guess who doesn't have a PhD

[–] [email protected] 6 points 3 weeks ago (1 children)

My dog

[–] SpaceNoodle 5 points 3 weeks ago

Your dog and I have a lot in common

[–] [email protected] 0 points 3 weeks ago

Almost every Baby Boomer ever.

[–] [email protected] 9 points 4 weeks ago

I thought the punch line was that biostatistics is actual biology, and biology is statistics :)

[–] [email protected] 4 points 4 weeks ago

A someone not in the field (CS/Machine learning) what did you expect these to be?

[–] marcos 36 points 4 weeks ago (3 children)

Whatever course you do in STEM, you don't want to half-ass the first semester of calculus, linear algebra and statistics.

In fact, you probably want to go out of your way to actually learn linear algebra (because I've never seen anybody really learn it on the course, you need to apply it) and statistics (because you want to go deeper).

[–] [email protected] 9 points 4 weeks ago (2 children)

Linear algebra, absolutely. But I kind of hoped to get through my whole degree (mostly EE) without properly knowing statistics. Hah. First I take an elective Intro AI class, and then BioInf. I guess I hate myself.

[–] marcos 13 points 4 weeks ago

Oh you can get through most degrees without properly learning linear algebra or statistics.

But those 3 are the knowledge that will pop here and there on everything you do, and leave you confused, incapable of understand things, and incapable of extending things if you don't know them. Usually, you won't even have to calculate anything, you just have to know them.

[–] [email protected] 2 points 3 weeks ago (1 children)

Well you need a good handle on probability to understand transistors these days at least.

[–] [email protected] 1 points 3 weeks ago

EE wizards are also the keepers of information theory, which is all just probability, and is pretty much the definition science of our modern era.

[–] Skullgrid 3 points 4 weeks ago

Whatever course you do in STEM, you don’t want to half-ass the first semester of calculus, linear algebra and statistics.

shenMask.Jpg

mask label : STEM

face label : Maths

[–] [email protected] 2 points 3 weeks ago* (last edited 3 weeks ago)

People here saying this shit is useless are fucking wack, I use this shit frequently in my job. Basic affine transforms for grid data is an interview question we ask junior engineers.

[–] [email protected] 15 points 4 weeks ago (4 children)

My wife did more statistics in her psychology degree than I did in engineering.

[–] [email protected] 10 points 4 weeks ago (1 children)

Because engineering is precise, measurable, and easily reproducible. You should be testing your things in a way that all you need is a simple two-sample Z-test.

Experiments on the humans, on the hand, unfortunately, have been outlawed. So all you get is a bunch of shitty noisy data, and yet you're supposed to somehow make sense of it. Most people with a degree in stats would tell you not to even try, and yet those fucks at phycology departments always do while having had about one undergrad-level class as part of their masters.

TL;DR good psychology programs nowdays train decent statisticians as they should.

[–] [email protected] 9 points 4 weeks ago (1 children)

Engineering formulas be like

"So there was this guy in 1896 and he did a bunch of trials and he figured out that a+b*x/c² is close enough to the real results, with values for a in range 1-2 and b in range 3-4. We still don't understand why, or how he got there, but it worked ever since."

[–] [email protected] 4 points 4 weeks ago

Scientists want to understand things. Engineers don't care, as long as it works.

[–] [email protected] 1 points 3 weeks ago

It always got me that the maths I was doing in electrical engineering outclassed what my friend was doing for his astrophysics degree. He was probably at the better university too (Debatable for the subjects in question, but both really good).

Did I need that level of maths? No, but it was compulsory for the first 3 years so not much option.

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

But... but... these are my maths shoes!

[–] [email protected] 4 points 4 weeks ago

Damn, looks like an elaborate course in probabilistic graphical models, sign me up!

[–] lohky 3 points 3 weeks ago

I have a degree in regular informatics and I don't really know what that even means. 🤷