Sortition may be what you're looking for: "sortition is the selection of public officials or jurors at random, i.e. by lottery, in order to obtain a representative sample". No one can amass power because it's short term and random.https://en.wikipedia.org/wiki/Sortition
dragonwriter|24 days ago
If you don't think officeholders that are randomly chosen amateurs in the field that are guaranteed to be out of it in short time aren't very often going to be extremely vulnerable to manipulation by people whose interests are stronger, more permanent, and durable, then you haven't thought things through very well, IMO.
viscousviolin|24 days ago
[0] https://www.goodreads.com/book/show/217981747-lottocracy
abecode|24 days ago
idiotsecant|24 days ago
The current system of oligarch patronage is bad, but at least it keeps the train mostly on the rails.
lykahb|24 days ago
HaZeust|25 days ago
kiba|25 days ago
In any case, you might be interested in Georgism, which is an anti-monopoly ideology most famously associated with very Strong Opinions on taxation of land and natural resources and untaxing production, along with taxation on pollution and negative externalities.
My impression is that sortition is very much in vogue within Georgist circles.
PlatoIsADisease|25 days ago
Also best of luck being random... https://en.wikipedia.org/wiki/Bertrand_paradox_(probability) and The Problem of Priors.
wtallis|25 days ago
HappMacDonald|23 days ago
My factory produces squares, and every square is between 1ft and 3ft in side length.
Now what is the probability that the next square it outputs will be between 1ft and 2ft long?
The probability is zero percent, of course. Because my factory only produces squares with a side length of exactly 2.5ft (to within a micrometer tolerance, hooray!), day in and day out.
And as anyone can easily verify, every single one of those squares is between 1ft and 3ft in side length.
Notice how I didn't have to even begin to talk about areas?
The video's thesis is simply that "Talking out of your ass when you have insufficient information has the capability of backfiring sometimes: oh the horror" and I find the subject approximately as uninteresting as the fact that different interpolation methods (nearest neighbor, bicubic, "ask AI image gen to fill in the gaps", etc) are capable of inventing completely different false details into an image or dataset.
But I probably only find it equally uninteresting due to the claims being isomorphic.
When you don't have enough data, guessing at what is missing can be incorrect, and guessing in different ways can be incorrect in different ways, and you have to allow that to wash out as enough genuine data arrives (which means washing out the differences between potential methods of interpolation) and maintain your error bars correctly in the meantime instead of throwing them away.
So to loop back to the start: the probability that the next square will be between 1ft and 2ft is 50% plus or minus 50%, which is just an over-engineered way of saying "there is literally not enough information yet offered to make a guess of any trustworthiness at this point".