How you can compare your size then ?
You just have to trust the mostly-accurate studies, like everyone else.
You just have to trust the mostly-accurate studies, like everyone else.
unfortunately no matter what we do, we can't compile billions of people into a 100% accurate statistic.
In the study there are men 195 cm tall ,so it’s very accurateYou just have to trust the mostly-accurate studies, like everyone else.
unfortunately no matter what we do, we can't compile billions of people into a 100% accurate statistic.
Elaborate
Be original
In this thread people that are bad at math validate each other.
Bro he’s true ,debunk me then
Law of large numbers. Statistics 101, basically. The larger the sample size of whatever group you're looking at, the more closely the binomial distribution of it resembles a normal distribution. A sample size of 30 is already representative, but a sample size of 1000 is pretty much concrete truth
Well then you're talking about sampling errors. Statistics are always in some way arbitrary, so the statistics you're looking at don't describe what you're looking for. Not a math error, but a method error. Comparing against averages is just common practise, since that is what most people look for. If you wanted a statistic excluding old people, malnourished people and ethnics, you'd have to collect that data yourself. I doubt there are many statistics around for exactly what you're looking for
Being 99 th in these percentiles what does mean,?
On average being the tallest/hottest/whatever guy in a room of 100 of the specific people you're comparing against. Standard deviation of 1-3 depending on the specs of your probability distribution. Meaning you could also be the second or third tallest in that room, for example, but you'd be expected to be the tallest in most outcomes.
I mean about size
