rnabel
Interestingly, it’s not just the volume but also the pattern of the boom that can be altered by changing the design of the plane. There’s a great discussion of this here: https://www.elidourado.com/p/50-years-supersonic-ban (Scroll down to the images of the sound wave)
However, in the process of finding out how much progress was made, they talked to multiple French nuclear scientists in newly liberated Paris. One of the scientists figured out that the US had working atomic weapons. This guy then managed to play this card to such effect (eg by suggesting that he may talk to the Soviets) that he was able to extract a lot of concessions from the US.
Now we have a nuclear armed France which IIRC was rapidly accelerated by tech transfer negotiated as a result. Pretty wild.
[0] https://www.goodreads.com/book/show/170428.Now_It_Can_Be_Tol...
Their article on the Ötzi discovery [0] is also well worth a read.
From the article:
> Most importantly, it gives the highest yield per acre of any oilseed crop – almost five times as much oil per acre as rapeseed, almost six times as much as sunflower and more than eight times as much as soybeans. Boycotts of palm oil will only lead to its replacement by other crops needing far more farmland and likely more deforestation.
> "the father of sociobology"I don't think that 'in the zone'-programming has to produce bad code, though (if that's what you are saying). I'd argue that it depends on what gives you a reward. If you take pride in your code then you will find it rewarding to write tests and decent comments etc., and more importantly make a habit of doing so. A lot of people who write bad code think that they can get away with it because they are 'smart'. These same people then spend a ton of time trying to find bugs.
It sounds like your colleague is 'finishing' features by accumulating tech debt. While this may impress non-technical management, from my experience, it wouldn't make it into a high-quality production code base.
From people I've worked with, it seems like most people go through phases of extreme productivity ('being in the zone'). The code quality may suffer somewhat during those times, but they don't throw all good practice out of the window (not compiling for days, no tests?!?).
"85% of All Jobs are Filled Via Networking"[1]; the network in most cases (certainly mine) will consist of people they met at or through university.
In this case, I would argue that the "through" university section is highly important. If you go to uni, land a couple of internships at large companies or go on exchanges you probably have a very large network of people you otherwise wouldn't have.
I do, however, agree that it takes effort (on both sides) to maintain the friendships and connections made at university.
[1] https://www.linkedin.com/pulse/new-survey-reveals-85-all-job...
If we optimized human life quality globally everyone would get better healthcare etc., but since everyone makes the decisions that benefit them (+family and immediate surrounding), then we end up with worse healthcare for the vast majority of the population.
As such, it should probably be the job of governments (regulation, incentives) to make 'globally' optimized decisions more attractive (centralized healthcare). In a best case scenario at least.
Below is what I could find in academic journals. TL;DR it is not significant.
There are 2 studies I could find which found that:
- likelihood of autism (or being on the spectrum) is 3 to 7 times higher among maths students (Cambridge university, 1.85% vs. 0.24% in the control group)[1].
- [2]: People with an ASD (autism spectrum disorder), "have one of the lowest overall college enrollment rates", but "young adults with an ASD who attend college are most likely to pursue STEM majors". It is noted in the analytics section that those with an ASD have a 34.31% enrollment rate in STEM fields with a heavy bias towards maths and CS. This compares to >32.6% in the general population [3] (data from 2012).
So, it looks like the percentage you listed are correct, with a potential of it being quite a bit lower due to hiring practices within the industry.
[1] https://www.ncbi.nlm.nih.gov/pubmed/26181845
I'm guessing that SQL databases were chosen to enable easy queries of structured data...
They have an open beta [1], although building a comprehensive system like that described above seems a very significant task even to a large engineering team.
[0] https://improbable.io/2016/03/24/what-we-found-when-we-simul...
[1] https://spatialos.improbable.io/get-spatialos
(Disclaimer: I have interviewed with and accepted an offer by Improbable)
Discussion which contains a number of good comments about weakening DH: https://news.ycombinator.com/item?id=11973365
If you look at the US market, both providers have significant amounts of content, which, it can be argued, provides a better viewing experience. The trend seems to be going away from traditional cinemas to streaming services. If this is the case Cannes may have just made itself irrelevant to this growing part of the market.
Making it really easy to develop such simulations could open this tech up for people who have applications for it but can't afford to build this kind of thing from scratch as the companies building things like Second Life.
[0] https://improbable.io/news
[1] https://improbable.io/2016/03/24/what-we-found-when-we-simul...
The US$13B is for a 10-year period (2004-2014), so can't be compared to their 10B tax per annum in the US.
Your numbers are correct: according to a number of reports, Apple's market share in the smartphone market range between 11% and 18%[1] and an average of about 14.4% for 2016 [0].
According to the article, Apple paid an effective corporate tax rate of 0.005% on European profits, which resulted in the EU claiming 11B in back taxes.
Regarding monopoly-status: could you state your sources for the 15% figure?
Lastly, being the "largest corporate tax payer" is irrelevant to the structural criticism leveraged in the article. It is also the most valuable company in the world - I'd almost expect it would be in the top 5 US tax payers, since a large part of its operation is in the US.
> that doesn't make any sense
If you look at the criticism leveled against this theory you will find that many of them have been addressed by the proponents of the theory, in many cases very successfully. Many things can be said about this theory but your claim strikes me as highly unqualified.
The caveat obviously being that debugging code written using some JS frameworks, like Polymer, is a nightmare.
If (happy to be proven wrong here) we can assume that this trend has to do with an age-related decrease in brain functionality, maybe this could be mitigated anyway.
[1]https://www.tensorflow.org/versions/master/how_tos/embedding... [2]https://github.com/tensorflow/tensorflow/tree/master/tensorf...