Assume any law or policy was subjected to A/B testing after being enacted.
A/B testing: "is a randomized experiment with two variants".
Which consequences would it have on long term on the say Human Development Index?
The A/B test is configurable, i.e. a set of critera is applied to determine whether to use A/B test at all, for how long and on which scale.
The granularity is decided (city, region, state..)
In the modeled world there are about 250 states so you could group them to subject entities to give the experiment more sense.
To avoid overlap, states/regions subject to the A/B test are locked for other policy changes.
An over-simplified example with a taxation policy.
Income tax should be increased from x to y %.
One region gets this, another one (x-y)/2%.
After K years (to be decided as well individually) they analyze data and decide which tax increase would be good for the whole nation.
A more complex example, in two variants.
- "A" test: more strict patent laws / either support abortion.
- "B" test: disable patent laws for the test time / either invest to inhibit abortion .