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submitted 4 months ago by [email protected] to c/[email protected]
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[-] [email protected] 1 points 4 months ago* (last edited 4 months ago)

It seems like we're in a Catch 22 scenario. Models and experiments only give so much information by the very nature of models and experiments simplifying much more complex problems, and in order to collect the kind of holistic data that would speak to a societal level would require an experiment that is functionally identical to just full implementation. Like experiments can only get so big or go on so long before it just becomes the actual thing itself and is no longer an experiment.

And in regards to your other comment about dialing in from the extremes, instead of making everything a uniform number, we can use an formula and a handful of variables to arrive at a local number. A function that takes in common cost of living costs, such as food, shelter, clothing, utilities, transport, and generates a number that will adequate cover those expenses for a given area plus some extra because something unexpect can always happen.

[-] [email protected] 1 points 4 months ago

With respect to formula, one aspect that proves difficult is that as you derive the right number, the right number changes. Since currency is kind of a synthetic mathematical trick we play on ourselves to "do economy", the things being modeled change when we try to force the numbers to be pleasant. Psychology plays a role to potentially make people feel better even with objectively similar circumstances (eg getting a 2% raise along with 2% inflation the person feels like they made some progress despite sitting still.

In any event, I don't have data either, but I just strongly suspect a numerical manipulation of money balances won't suffice and we will have to intervene with things like universal healthcare, housing initiatives, labor regulation, and some means of mitigating the phenomenon of billionaires. Easier said than done, but broadly just thinking we have to mind the details explicitly.

this post was submitted on 29 Apr 2024
142 points (89.4% liked)

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