It goes beyond learning though - I'd say we actually need those changed circumstances and advanced technologies for those changes to happen. Trying to adapt a 2010 US morality or system of government to a 1200 Mongols environment or a prehistoric one probably would just be a huge mismatch and not work.
I always found it interesting the super strong correlation between essay length and score, and that the scorers are supposed to not care about factual accuracy at all. I also found that almost every single essay question had "right"-sounding and a "wrong"-sounding answer, as in answering one way would always make you sound smarter to the reader. I guess if you just know that you can do pretty well by following these rules you'll follow the formula.
The example they used basically paints taking more risk as 'cooler, more rational option' which seems a bit odd to me. Humans are well known not to have a linear utility function for a lot of things (loss aversion) because doing so can be useful and can be argued as rational - especially when applied to money for instance, people will trade off higher average returns for lower risk which probably makes sense for survival. It's like saying a greater amount of change, or a greater amount of risk, is strictly better, whereas in any given situation it may be better or may be worse.
At some point I believe they added photo messaging support by email, but you have to check + check for attachment. I had already filtered/archived all emails by default so I didn't realize this until very late in the game
Mainly because it's easier to get one government to shift their hours and thus the hours of everyone, businesses, government services, etc. at the same time, rather than relying on everyone to make a local distinction.
Though sometimes (like in Western China, where time is really off), businesses run on a 'de facto' local time zone (10-7 Beijing) rather than say 8-5 Beijing time
Similarly, the overall preference seems to be to shift things to a later time rather than earlier
Antifragile - Nassim Nicholas Taleb. His other books Fooled By Randomness and The Black Swan are more accessible - all incredibly great discussions of risk, probability, complex systems such as the global financial and banking industries, and how many attempts at risk modeling fail to recognize important unpredictable "black swan" events.
It's also a matter of scheduled maintenance: If you buy a car right before a bunch of critical components are replaced, expect a repair bill of $500-1K at the appropriate time. Although a lot of cars at say 60,100 miles will probably not have their 60K done - at which point you can use that as a bargaining point. If it's a high-activity auction, it might be hard to get the exact details on each car for sale
Tangentially, Road Fever is a pretty epic read about two roadtrippers who get from the Tierra del Fuego, Argentina to Prudhoe, Alaska, in 24 days. Border crossings, mechanical issues, weather, the Darien Gap, all covered. (They took a ferry I think). Looking at the pictures and the intensity, 90km has to feel like an eternity on actual land
For people already with a car, the variable costs of driving (maintenance, fuel, etc.) is usually 25-45 cents (lower end is a economy car getting 30mpg city, higher end is a less fuel-efficient, less reliable car). Using 35c/mile, and an average urban driving speed, that's $5.25/hour.
Even idling half the time, that's 17.50-5.25=$12.25, better than many pizza delivery / the average urban courier rate. Delivery drivers often get far less than $35 while having to pay their own vehicle costs.
The calculus changes a lot just based on that single number, average speed. I'm sure the $35/hr number would be far higher if everyone was going on freeways between trips and racking up the miles like crazy (assuming Lyft incorporates distance into its pricing heavily)
