she/they

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Joined 1 year ago
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Cake day: June 12th, 2023

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  • Okay, but dolphins don’t have writing or any other means of storing arbitrary information. If an alien had that capability, which they will if they are a civilization, things might be very different

    Because we would live in a shared reality, if both species were to try to achieve communication, we would start out with something as simple as the basic building blocks of reality, like, say, the elements of the periodic table, to build out the foundation of communication. Then you would incorporate stuff like math and logic, and then it’s downhill from there

    There are ways to build up a system of communication even though the two sides are as different from each other as they can be, because ultimately, as we share the same reality, we have an objective basis to base our method of communication on. And that’s all you need. It doesn’t matter if we speak and they use odors, if we can both agree that hydrogen is hydrogen, and we can both perceive that we are in presence of hydrogen








  • Again, proving the point

    I don’t have the time or energy to do a full statistic course, but there’s the whole thing of sampling https://en.wikipedia.org/wiki/Sampling_(statistics)

    For a very basic example, say you have 1 million people, 200 000 prefers burgers, and 800 000 prefers pizza, then say out you pick people out randomly from the group of 1 million people

    How many do you need to pick out to have a 95% certainty that the ratio falls within 95% of the general distribution in the population? The answer is: 246. 246 is a big enough sample size for a 95% confidence that you are within 95% of the range of the general population distribution in this specific example

    There’s a lot more to this, of course, but hopefully this is sufficient to showcase that you do not need large amounts of data to derive conclusive results

    Usually in a scientific context you go more the route of calculating the confidence percentage that the data you got is random, also known as null-hypothesis testing, where the confidence percentage is the p-value. So the inverse of that is the confidence that it’s not random

    But, again, there’s so much more to statistics than this, this is just the very basics.