What would be the equation for calculating the chance of getting dubs on an image board?

What would be the equation for calculating the chance of getting dubs on an image board?

99*(user post rate/total post rate)/100

I fucked up on basic math, it's actually
9*(user post rate/total post rate)/100

Math is for losers lmao. Check these dubs.

For any random string of digits, the odds of the last two digits being the same is b^-1, where b is the base of the number system being used. In the case of decimal numbers, it's 1/10 or 10% chance.

You're forgetting about trips and higher, which -according to most- don't count as dubs.
There's a 1/100 change of the three last digits being equal, so it's 1/10 - 1/100 = 9/100.
Also, sage shit threads.

There are 10, not 9, possible dubs combinations: 00, 11, 22, 33, 44, 55, 66, 77, 88, 99 AND on top of that you have to check if third digit from the last does not match the dubs. So basically you have 10 combinations multiplied by 10 because you have to consider three last digits and that amounts to a 1000 posts. So you have 10 sets of dubs in each hundred, but sometimes they become trips, once per each hundred. so 000, 111, 222, 333, 444, 555, 666, 777, 888, 999 are out. So you have 9 actual dubs combination in each hundred. In a set of 1000 posts 90 are true dubs. Therefore is correct.

1, as your number of posts approaches infinity.

"When in doubt, bruteforce it." -- Ken Thompson

Then why stop at trips? By the same reasoning you should also throw out quads, pents, sexts, on up to the length of the string in question.
Also, don't tell me what to sage.

What you want to do is
Pr[ends with

forgot the sage, sorry.
Also "". ends with "x" or more digits

Because quints require last 3 digits to be same as fourth, if third digit is different than last two then it cannot be quint.

Ah, so. Vely crevel, mastel.

1/10

is math really that useful for CS? my teachers keep shilling it as being unavoidable, but I don't see it.

Amerifag detected.

Depends what you do. For theoretical work you need the logical part, actually logic is useful in general, for graphics you need linear algebra, combinatorics are pretty useful, etc. For boring stuff like reading database A writing to B you don't need any but if you're getting a degree for that you're a dumbass.

Like the others said, 1/10 is 2 or more digits, which is why you have to remove trips. 1/100 includes everything else you have to remove, including trips or higher.

Suck a cock, chock on it and die like the gay retarded fucktard you are.

If you want to be a Java scriptmonkey or someone who can easily be replaced by an H-1b visa, then Math isn't important for programming. Specially if you're making stupid shit like basic CRUD applications.

If you want to do anything remotely advanced, then yes, you'll be needing the math. More importantly, math and programming are very similar. If you can't math, you can't program beyond really basic if then logic.

f(x) = 0.1

You won't need it until you come across something that'll make you wish you learned it.
For a basic example, let's say you had a robot with wheels. You want to move it forward a specific length L. You know the radius of the tyres is R. To calculate how many revolutions you need to turn the tyres, you need to find how far the robot will go in one revolution, which is 2 x pi x R. Then you divide your distance by that, and multiply it by 360. The result is the specific degree turn your wheels have to do to go the distance.

M = metrics.confusion_matrix(1/LMAO, prediction-class)
return det(M)

................top kek!................

Old csfag here. Statistics is the field of math that is extremely useful to the average programmer who aspires to not be a webdev, but it's also the field of math that is extremely unlikely to be taught to you or taught above babby tier or even recommended. Non-linear least-square fitting problems present themselves all the time but you won't notice unless you have the background, you'll find many references to Newton-Raphson if you go poking around your distro's source, not having to model everything as a gaussian distribution because that's all you learned is always useful (latency is not gaussian, for example), understanding variance and being able to work with error rather than get autistic or dump huge fudge factors everywhere is definitely a plus, etc.. It's the most useful field of math by far for general use.