hnracer

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Are you saying the book itself is ML porn?

Indeed but I wonder if one could build a platform that does this behind the scenes. User sends BTC to the online wallet, and the site hedges on behalf of the user on one of the liquid future exchanges, locking in the prevailing BTC price. People can make payments out of this online wallet with just as much ease as they're currently doing. Then they have an easy to use digital cash without any price risk.

The site charges a small fee for the service of derisking the holdings.

This does seem to solve a real user pain point (risk and the complexity of hedging) and benefits from scale economies.

You can just hedge your exposure on a futures exchange and still use BTC to transact but be unexposed to any price movements. Although doing that is very complicated and defeats the purpose of an easy to use alternative to centralized cash.

How do they account for the expected lower turnover due to the price increase when they estimate the post-policy gross hourly wage?

It's not an ideal natural experiment because the cost of all ride sharing will rise simultaneously, so many of the substitutes (other brands) are equally more expensive. In other markets Uber couldn't raise their prices without having their market share decimated by Lyft, unless there's collusion.

I think there's two reasons.

First is that the costs are hidden and complicated. We need a decent understanding of economics combined with an honest and deep analysis of the consequences of the specific policy to conceptualize why it's deleterious. Very few people will tick both boxes.

Second is that politicians want to be seen to be doing something. Even if leaving the market alone is the best of all options.

Does R have robust CSV parsing? I remember using the default and it'd be extremely finicky about getting the header and index flags right and wouldn't typecast numeric columns properly (instead they'd end up as factors and not play nice)

I've used R (3 years) and Python (8+ years) in data science and much prefer Python, because it can do things that aren't just pure data analysis, and because pandas is so amazingly good compared to R's data matrix solutions, in my opinion. I believe that the algorithmic trading industry has gone fully into Python and away from R for these reasons.

It's designed to be a 1v1 game, a lot of people don't like that because it becomes hyper-competitive and even a little stressful when compared to team games

Is there a good discovery mechanism for finding individual journalists producing quality content on eg substack or medium? I want to find their content but I don't know where to start.

The burden of proof is on the individual claiming that agricultural investment by Western firms into Africa is a negative, given that it's commonly believed that FDI is a good thing and African governments routinely and actively seek out FDI as part of their policy. So I don't believe that to be question begging.

The sentence following the one that you quoted is the defense, perhaps you should argue against that instead?