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In this case I don't see that Elon Musk came up with anything new
It was all about genetics and stuff... or maybe it was astronomy... or it could've been dinosaurs for all I know.
The problem was the scientist they had talking....
He sounded exactly like Bert from the Muppets.
I couldn't focus on the science bit, I just kept expecting him to say, "Hey Ernie..."
They were both based on the same press release about the same study.
Journalists (and the general public) are spectacularly bad at statistics and unfortunately the normal scientific answer of "well, its complicated..." does not tend to lend itself to modern journalistic style where things need to be dumbed down (the average reading age of something like The Sun is about 12, if I recall correctly).
It also doesn't help that when scientists try and get involved themselves and try to communicate the results and consequences of their work themselves they often get told off for "politicising" science and told to sit down, shut up, and leave the debate to politicians (or whoever).
And, yes, they're not trying to report facts, they're trying to sell papers, and exciting untruths sell more than facts.
New Scientist is much more interesting. I was involved with an article published there a couple of years back - I had translated the article and was the go-between for the author and NS. They were incredibly good at editing the article, analysing the content, spotting weaknesses in the arguments, and making the whole thing a much better article - clearer and more precise.
And, of course, the whole thing was being turned round in double-quick time to meet the print deadline.
I know some of the science in NS is not always presented as accurately as it could be, but they are leagues above the the dailies.
Less of an issue, but unfortunately, in addition, many scientists have an inadequate understanding of statistics - especially life sciences in my experience. I wish academics would collaborate a bit more, since I've seen plenty of commendable research spoiled by poor understanding of maths
I'll make an assumption that all academic humanities researchers are likely to struggle with statistics when needed, but I'd hope they'd be more likely to seek assistance.
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A mobile phone for instance relies on quantum mechanics (transistors) and General relativity for correction of GPS errors.
Basic chemistry for batteries. Optometry for the the Camera, Newtons laws of motion for the motion sensors.
Why or how would we know unless you're in the industry or have an interest in that kind of thing?
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