There would also almost certainly be some on-going costs. The Lagrange points aren’t fully stable, so eventually we’d need to ship up propellant for station keeping. [EDIT]: We could likely use solar radiation for station keeping… Probably on much longer timescales mirrors would need to be replaced. These costs would probably be less than 1% of the upfront investment, but if the system gradually falls apart, you then find yourself in a bad situation.
For context, the US congress passed the CARES act quite quickly (relative to normal timelines for passing legislature) earlier this year and that dropped $2.2 trillion into the economy.
Pleasantly surprised to find that I predicted the first set of results on effectiveness of mockery, but my prior confidence was only 55% for. My model going in was that people will either tend to fold quickly to get out of the mockery if they’re not adamant about the issue OR the mockery will stiffen their resolve, thus mockery might be slightly more effective at changing behaviors than minds..
Yes, this also raises a couple other good points:
How to begin localizing knowledge if you’re *not* in the US. My sense is this is particularly gnarly bec most info assumes you are and quickly gets into weeds related to the US tax system. It seems to me that as a first approximation of understanding investing you should tend to ignore tax structure, but maybe that’s wrong?
Tools and pipelines for programmatic trade bootstrapping. Looks like Robinhood does have an API. Not sure what other packages/api/tools specifically for finance are relevant.
A curriculum for getting started, as well as some guidelines for when it’s worthwhile to begin doing so. Personally, the flow into my savings in on the order of $4k/month, plus a pool currently of $20k cash, and about $90k invested in mostly stock ETFs. I have appetite for risk and tolerance of volatility, but don’t yet know if the sums of money I have to play with make sense for strategies beyond ‘hold the market’. If so, I don’t know how to begin bootstrapping—gilch’s recent posts have been interesting, but are a still a bit light on details and model-building.