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Comment Re:It's DeFi! (Score 1) 75

Sorry I guess I'm going to have to ask a more specific question. Do you have an example of anybody owning a few million $ in bitcoin *exchanging ALL of it* for something that is not Bitcoin or another cryptocurrency or crypto asset. The fact that you can exchange a small amount of bitcoin for the equivalent amount of dollars does not prove anything.

There are examples of people exchanging their entire hold of hundreds of millions in gold or stocks, without the value of those commodities crashing. Would like proof this is the same for bitcoin.

Comment They replay the manufacturing emissions in months (Score 1) 112

With a wild twisting of words this author added "meaning the emissions were dumped up-front in China's coal plants" to try to make this sound bad.

ALL "manufacturing emissions" are "dumped up-front". There is not something special about China or using coal. And even with the 2x or more CO2 emissions of coal, a solar power panel replaces all that CO2 emission in just a few months, which is an awful lot better than a lot of other things that people claim are green.

Comment Re:3 Engines failed not 2 (Score 1) 106

I'm guessing they can tell from the wreckage that it was not running? And it should have been running by the time of the crash due to the power failure that triggered the emergency windmill generator (forgot what that is called). Is this correct? If so yea it sounds like 3 engines failed, which seems to me to mean a pretty major electronics failure?

Comment Re: Vassal state should behave like one (Score 1) 143

Those articles just say that the gap between the richest and poorest in each country is growing, and that the US has a larger gap. The articles are not comparing the countries to each other so there may be different computation methods. In particular the CA article talks about the top 20% (at least for men, I'm going to have to assume for women) while the US graph talks about the top 1%.

It does look like there is better results for American rich, as the US graph allows me to guess as to what the top 20% are:

Top 20% life expectency in CA: men: 83 women: 86
Top 20% life expectency in US: men: 86 women: 87.5

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