I am not a mathematician. We need one, STAT. (Or a statistician–stat.)
Meantime, here’s my take:
Going by the wiki article, it appears that the argument has almost nothing to do with humans whatsoever–it’s an exercise in pure probability.
It starts with the Copernican Principle, an assumption that we humans hold no special place of observation in space or time. Therefore, just as we assume that the Earth is not the center of the universe, we assume that we are not living in any particular period of human history (beginning, middle, end). Therefore, if you assign each human being a sequential serial number, starting with 1 for the first ever Homo sapiens in Africa 200,000 years ago right up through today, and continue on until the last human who is ever born (assigned serial number N), you would have to assume that we humans who are discussing the problem today hold no special place in this order of serial numbers.
The distribution is assumed to be uniform (why, exactly? need help here), so our fractional position (f) in this sequence is stated as f = n/N.
Now, with this uniform distribution and all, there is a 95% chance that our serial numbers fall within the last 95% of all serial numbers. That means f > 0.05. Flipping the equation around gives you this:
f = n/N
f > 0.05
n/N > 0.05
N < 20n
Now we have a probable upper bound for N, the serial number of the last human being. It’s 20 times n, which is our serial number.
Now we bring in some historical numbers, and apply this theory to humans specifically. John A. Leslie posited the total number of all humans who had ever lived up until the present time to be 60 billion. In other words, all of our serial numbers are in the neighborhood of 60 billion. (Hey, 61,000,090,812! Lookin’ good!) Given this, we can plug “60 billion” in for “n” and get the following:
N < 20n
N < 20 * 60 billion
N < 1.2 trillion
So now we can say that it’s probable that the last human being to ever live will have a serial number that is less than 1.2 trillion.
Then, given our current serial number count (circa 60 billion) and extrapolating on likely population trends (birth rates, lifespan, maximum carrying capacity of the Earth, etc.), you get an upper bound for reaching that 1.2 trillion digit within the next 9,120 years.
In other words, there is a 95% chance of human extinction by 11,125 AD (give or take a few years). Not a certainty, but a probability.
Where I start to get confused is when the argument starts talking about uniform distribution. I’d love a mathematician to explain that for me a bit better, and show how it fits into everything here.
After that, it seems you get into the head-spinning nature of probability in general. So, for the 3 billionth human, the human race was 95% likely to have ended by now. And yet, for us, it’s STILL 95% likely to end within 20 times our current count (1.2 trillion).
I feel like I’m trapped in the Monty Hall problem.