this post was submitted on 13 Nov 2024
632 points (93.6% liked)

Science Memes

11189 readers
2634 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
 
you are viewing a single comment's thread
view the rest of the comments
[–] Enkers@sh.itjust.works 4 points 1 week ago* (last edited 1 week ago) (1 children)

Yeah, I was trying to compute the "ballpark" of the odds, but it's actually hard to do because of how astronomically improbable it is. Even computation systems that are designed to compute rather big/small numbers (think 100,000,000^1,000,000 big) fail.

Here's another example: If a human only had 1,000 gut microbes, the chance that over 900 of them get snapped is 1 in ~10^162 [WA]. (This was roughly the biggest number I could get WA to yield a non-zero answer for a >90% snap.)

Now if you do that for every human on earth, the probability is still essentially zero. [WA]

When you consider that humans don't have 1000 gut microbes, they have over 10 trillion, it's just mind bogglingly improbable.

[–] yetAnotherUser@discuss.tchncs.de 5 points 1 week ago* (last edited 1 week ago) (1 children)

I've found a proper approximation after some time and some searching.

Since the binomial distribution has a very large n, we can use the central limit theorem and treat it as a normal distribution. The mean would be obviously 500 billion, the standard deviation is √(n * p * (1-p)) which results in 500,000.

You still cannot plug that into WA unfortunately so we have to use a workaround.

You would calculate it manually through:

Φ(b) - Φ(a), with
b = (510 billion - mean) / (standard deviation) = 20,000
and
a = (490 billion - mean) / (standard deviation) = -20,000
and
Φ(x) = 0.5 * (1 + erf(x/√2))

erf(x) is the error function which has the neat property: erf(-x) = -erf(x)

You could replace erf(x) with an integral but this would be illegible without LaTeX.

Therefore:

Φ(20,000) - Φ(-20,000)
= 0.5 * [ erf(20,000/√2) - erf(-20,000/√2) ]
= erf(20,000/√2)
≈ erf(14,142)

WolframAlpha will unfortunately not calculate this either.

However, according to Wikipedia an approximation exists which shows that:

1 - erf(x) ≈ [(1 - e^(-Ax))e^(-x²)] / (Bx√π)

And apparently A = 1.98 and B = 1.135 give good approximations for all x≥0.

After failing to get a proper approximation from WA again and having to calculate every part by itself, the result is very roughly around 1 - 10^(-86,857,234).

So it is very safe to assume you will lose between 49% and 51% of your gut bacteria. For a more realistic 10 trillion you should replace a and b above with around ±63,200 but I don't want to bother calculating the rest and having WolframAlpha tell me my intermediary steps are equal to zero.

[–] Enkers@sh.itjust.works 2 points 1 week ago

Whoa, good work! I think I'm going to have to go over this a few times to grock how it works, especially the Φ(b) - Φ(a) bit. My stats textbook has a bit too much dust on it. ;)