| I'm unclear on why the author posits that we should assume a smaller population necessarily means the average being will be larger. For example, if a human did this thought experiment 2000 years ago - a blink of the eye in the scale we are talking about - we would have perhaps 500,000,000 humans on the planet, or something along those lines. We have 14x as many humans now. Yet we have not shrunk in size as the species has grown in population, and if anything, have grown larger. If we look at the total biomass on earth, we are a fairly small portion of it. So shouldn't we assume, as we are assuming our situation is average, that intelligent aliens are also a fairly small portion of their planet's biomass? And if so, wouldn't the size of the aliens themselves be something that has very little to do with the total energy reaching the planet surface? I get that it's just statistical probability and math, and it's fun, but this particular thing stuck out for me. It was a fun read regardless, so thank you for the break from work! |
> "What if people who lived several centuries ago did a calculation on how many births there would be?"
> This appears to be one of the most widespread misconceptions on the topic. Many scientists have fallen into this trap, such as Lee Smolin's article from 2004 . In science there is never absolute certainty, only varying degrees of confidence. We should never be 100% sure of anything. When stating the degree of confidence in a result, typically 95%, it should be in full knowledge that one time out of twenty, we will be wrong. 5% of the time we will be misled by statistical chance.
> Now if someone who lived tens of thousands of years ago estimates the total number of human births, based on how many there had already been, they will underestimate the truth. Because we now know there has been many more. But those first 5% of people who ever lived represent the 5% of the time we expect to be wrong. This is a basic premise of how science functions, how it uses statistics. We must be wrong some of the time. In reality, we are wrong much more frequently than statistical chance suggests, because of human error or misunderstanding.