The insurance company pays, but what they pay is not this price. US medical care is littered with dummy sticker prices that exist to give insurance company negotiators something to do besides negotiate good rates. https://www.propublica.org/article/why-your-health-insurer-d...
Your original comment didn't say that the notes contained insults and planned lies (beyond the dishonest appearance of spontaneity). Is this sample an exaggeration? It certainly looks a lot worse this way.
It kind of makes sense that their strategy would involve cold, manipulative tactics, given the goal is to successfully trick each person they talk with into thinking they actually are interested in them as a person.
I find it disgusting and terrifying, but not all that surprising.
This is a classic math pitfall, described by mathematician Jordan Ellenberg as "Don’t talk about percentages of numbers when the numbers might be negative" because they're more often confusing than illuminating.
Where are you getting that death number? I'm seeing numbers around 43k, 30 times lower. Is your figure including health damage from air pollution or something? Or is it an aggregate over many years?
There is a correlation. Germany has the reputation of being very concerned with inflation, which happens when the amount of money in circulation grows relative to the supply of goods to buy. When there is a supply shock (such as this energy conflict), inflation is the natural result, but a concerned government can respond by increasing interest rates to reduce the amount of money in circulation. That way they get less inflation than they would have otherwise, at the cost of slowing down the economy.
They didn't ask what books both men had read - I suspect Gore has read at least a large chunk of the Bible (he still describes himself as a Baptist to this day). It's just not his favorite book.
An example of what makes this so difficult is the "activity cliffs" often found in drug development: many pairs of apparently similar molecules will have totally different activity against a target protein. These differences can be understood if examined with costly physics-based simulations, but they have so far shown few of the simpler, compressible patterns that make machine learning effective.
I was baffled when I first entered my schedule for a conference into Google Maps, only to find when I flew across the country that all the times were wrong. I understand that it's a reasonable choice to use the local time zone at event creation, but it sure wasn't what I expected (I vaguely thought it would be like your alarm clock example, where it would move with the local time).
I once made a flight by the slimmest of margins possible (the gate crew stopped closing the check in because they saw me sprinting through the terminal hall), because of this and only one hour difference between where I started from and where I went.
