For n observations, what is the hidden moment? What are you missing from the “empirical” distribution?
Say the maximum flood was 3 meters or maximum loss was 22%. What are we missing in the statistical properties?
Link to the Paper mentioned in the video – What You See and What You Don’t See: The Hidden Moments of a Probability Distribution
Hello to you…
I have red Antifragile: Things That Gain From Disorder and some other books, and I have found them to be very interesting!
The concept of the antifragile thing was very interesting, too.
However, now I remembered one interesting thing, it is like that not visible part.
For example, let’s take a bone that has been broken and healed, that bone will become a stronger than original one. It goes into a category of what doesn’t break you, just makes you stronger.
It is unlike a metal, this can be found in this
picture…
https://i.ytimg.com/vi/xQHz3MsHHwo/maxresdefault.jpg
Like you have two different types of stuff:
-The natural one, … a bone for an example,
-The mechanical one, … a metal slab for an example.
And you can go even further, to look for a send blob, etc…
… and it will lead to a thing called classes of equivalence … and
later to something that is called DSS- Decision Support Systems…