Two things:

Hopefully it is rare, because hopefully most people followed instructions and stayed safe. And some of those who didn't probably managed to be lucky near-misses. (Ahem, Mr. President.)

It actually wasn't very long at all for a scientific article to come out. Publication of peer-reviewed journal articles has a much more measured pace. Consider--the eclipse was on 21 August, and the paper briefly discusses the results of a six-week follow-up visit. (That would be around 2 October.) The paper was accepted for publication on 18 October, a couple of weeks later. That's a fairly brisk turnaround for manuscript submission, peer review, final revisions, and editorial acceptance. The next few weeks get eaten up by layout and proofreading, which brings us to the final version of the paper going live this week.

Kevin O'Leary didn't get rich scrimping on coffee. He got rich selling a software company, and stayed rich by marketing himself. Not buying coffee from coffee shops is part of building the "Kevin O'Leary" brand mystique, not a meaningful way to build substantial wealth. When he gets to the office, he'll have assistants who are happy to brew a pot for him.

I'm having trouble with the math here. Over five years, you'd expect about a 10 percent increase due to inflation. So the "average" double-wide is only up about 10% over inflation. And that's looking at the average--are all mobile homes more expensive, or did the distribution of motor home sales just shift? Remember, the average goes up if the share of sales of high-end homes goes up, even if the low-end homes remain the same price. We're not told what the liveable-but-not-fancy homes cost, or how (or if!) that has changed with time.

Really, though, the more important statistic is buried in the linked article.

(At least they inflation-adjusted that figure.) The real problem is that the poor - including the working poor and retirees - are getting poorer. Even if housing weren't getting more expensive, they still wouldn't be able to afford to keep up.

My congratulations to Julie Payette on her appointment to her new post. Bear in mind she isn't the first Canadian astronaut to assume a role as a senior government official, either.

Since 2015, former astronaut Marc Garneau has served as the federal Minister of Transportation--which seems just a little bit on the nose.

(That compares rather favorably, incidentally, to the 1995 appointment of Al Palladini - a used-car salesman - to serve as Ontario's Minister of Transportation...)

It "makes sense" in much the same way that it would "make sense" for Formula One cars to have narrow tires. Introductory physics courses tell us that friction is linearly proportional to normal force and the coefficient of static friction; changing the area in contact with the road doesn't matter.

But wait--that's nonsense. Real cows aren't spherical. The simple first-year physics model breaks down quite readily when one encounters more complex physical systems.

For some reason, though, there are people who like to think of economic systems as absurdly ideal transactions in a vacuum and then pretend that they understand what they're talking about, or that they can draw broad and meaningful conclusions. To take one aspect of the Seattle situation--what does the ECON 101 model have to say about demand when we increase the number of potential customers with money at the same time as we increase labor costs? Where's your pat "intuitive sense" now? A little knowledge is a dangerous thing.

I see what you did there.

And maybe more importantly, if it disagrees with the humans, can we figure out why? This is a problem with a lot of machine learning applications, but there aren't many where understanding the decision-making process is more vital than it is here.

It's worth pointing out that XKCD's pretense that four random words are easy to memorize was based on them choosing four easy to memorize words. If I just have /usr/share/dict/words pull up random words for me, here's the first five passwords it comes up with:

It's a good thing that XKCD's Munro doesn't choose four random words from /usr/share/dict/words then, isn't it? The cartoon shows 11 bits of entropy associated with each word. That means a dictionary size of 2^11: about 2000 words. (In contrast, a typical /words file might have a hundred thousand entries. That's fifty-fold larger, so you get about 5.5 extra bits per word, but would indeed lead to the utterly useless output you've shown.)

The General Service List contains the top 2000ish most-often used words in the English language. I used the version compiled in 1995 and found here, mostly because it was the first version I could grab online. Pulling random words from the first 2000 entries, the four words I got (on my first three passes) were:
competition behave exact toward
experiment miserable there lord
spare page circle rabbit

Right out of the box, it's not what I would call a disaster, though a few of the words are a bit cumbersome, length-wise. (For reference, your /usr/share/dict/words selection only contains one word - "weave" - from the GSL.) If you started from, say, the top 5000 words, you could probably cut it down to a 2000-word list where every entry was non-obscure, had between 4 and 8 letters (the average word in the GSL has a length of 5.8 letters), avoided difficult-to-spell words, and eliminated similar-sounding words.

The Mashable report quoted in the Slashdot summary uses a slightly different phrasing from the original LinkedIn report. The LinkedIn article actually says "after having spent 24 hours cramped in an economy seat on Qatar Airways".

Poking around a bit on Kayak, I see a bunch of Qatar Airways itineraries from Lagos, Nigeria (LOS) to JFK that involve three segments, with stops in Doha, Qatar (DOH) and western Europe (CDG, FCO, MAN, etc.). Total travel time is 27 or 28 hours, with nominal times in flight adding up to about 23 hours. Add an hour in a holding pattern somewhere (or queued up for takeoff on a taxiway, or waiting for a gate to open up), and the poor guy could easily have spent 24 hours in an economy-class seat on his way to JFK. Yeah, the phrasing's a bit sneaky since he would have had a couple of short "intermissions" to stretch his legs...but still, if we figure he arrived at LOS two hours before his flight, he would have been stuck in the international air transport system for better (worse?) than thirty hours all told.

Well, the Swedish approach was to look at the individual job responsibilities of the CEO, and determine if all of those functions could readily be absorbed by other people or bodies within the company (where they weren't already overlapping - and sometimes conflicting - anyway). So if you want to go ahead and do the systematic hard work, there's nothing that prevents you from figuring out which positions could (or should) be eliminated, with their responsibilities reallocated to other staff.

Of course, it's waaaaay easier to just go the observational humor route and declare "Hey, everything is so much better in the office when the boss is away, amiright? Let's get rid of 'em all!" So, kudos for that contribution.

More seriously, I see a couple of obvious gaps that you would need to fill, right off the top. For one, you need to develop some mechanism for larger-scale strategic direction. In the Swedish company discussed, that role was filled by the company's board of directors. For another, you need to have some sort of framework for handling civil and criminal liability issues when someone eventually screws up. Where does the buck stop, ethically and legally?

Like I said, one can fiddle with the numbers to swing the accounting a fair bit in one direction or the other. As you've demonstrated, if one makes optimistic assumptions about the age of the donor and maximizes the number of recipients by assuming a strict one-organ-per recipient (include just one lung at a time, and no multiple-organ transplants--bear in mind that the vast majority of pancreas transplants are actually pancreas-kidney, for example) and 100% organ recovery and transplantation, one can choose to make the math give you the result you're looking for.

It's very sticky if you want to score tissues that aren't necessarily lifesaving or for which artificial or animal alternative sources exist. (It's ethically problematic to suggest, for example, that more dead motorcyclists are a good thing because it will improve the supply of cadaveric ACL replacements, especially given that many patients could instead receive an autograft of their own tissue.)

It doesn't help that you're neglecting the last and most important part of my comment acknowledging that a very substantial fraction of potential organs won't be converted into actual transplants: helmetless motorcyclists who die too far from care or too quickly for their organs to be recovered; ones who have communicable diseases, malignancies, or other medical conditions that exclude them from donation; and so forth. (Going forward, helmet laws will only be suspended if you're over 40, free of hepatitis and HIV infection, have recently been screened for cancer, and are biking in an area with excellent ambulance service within 1 hour of a major transplant center. Hmmm...) Each dead motorcyclist is only "worth" 60 years multiplied by the fraction of viable organ recoveries--which probably comes out to well under 50%.

Finally, we're using "accounting" in a couple of different ways, here. I was using it purely to refer to life-years saved or lost. If we actually want to look at dollars and cents, it gets really ugly really fast. In the United States, the total billable costs for a heart transplant (including 30 days of pre-operative screening and prep, organ procurement, the transplant operation itself, and the subsequent 6-month period of recovery and rehab) comes out to about a million bucks. A single lung or a liver transplant are both well over half a million apiece. Kidneys are well clear of the quarter million mark.

From a purely financial perspective, it's waaaaay less costly to just let the motorcyclist survive and the potential transplant recipients die in a few months or a year, rather than let them be brutally expensive surgeries with steep and ongoing maintenance costs. Amortizing that heart transplant over the likely life of the recipient (or the transplanted organ) runs a hundred grand plus per year. Oh, and don't forget the cost of care and rehab for all those brain-damaged motorcyclists who don't manage to actually die from their head injuries....

Maybe, but not necessarily. It depends a lot on your accounting. A 20-year-old dumbass male might expect to have around 60 years ahead of him, most of which will be time spent in good health.

His kidneys will probably last about 10 years in each of their recipients, so count 20 years "saved" total.

The median survival time for heart transplant recipients is also about 10 years.

Liver transplants tend to do particularly well; the median survival is closer to 20 years.

Lungs are a lot pickier; the median is closer to 5 years, but is steadily improving.

Add that all up, and we're just shy of breaking even (55 life-years for the recipients, versus 60 life-years lost by the motorcyclist). On can fiddle with the parameters to swing things a bit either way. In some cases, the liver can be split into two lobes; the larger right lobe goes to an adult and the smaller left lobe to a child recipient. Some recipients only need a single-lung transplant, so one pair of lungs can go to two recipients. And we're getting better at keeping transplanted organs functional for longer. And, of course, some dead motorcyclists are 40-year-olds having a mid-life crisis.

On the flip side, some recipients may need multiple organs (heart-lung, heart-liver, etc.).

More important, not all organs will be viable--not every helmet-less fatality leads to a full complement of usable donor organs. For reasons of underlying disease or quirks of the donor's physiology, it may not be possible to transplant some organs. The fatal motorcycle accident may damage some other organs beyond repair. The accident may even occur in a location or under circumstances where none of the organs can be recovered for donation. That is going to tip the scales a long way against the "benefit" of more brain-dead motorcyclists.

Frankly, we have more than enough cadavers now; what we need is for more of them to donate their organs. Presumed consent (an opt-out rather than opt-in) system would be far more effective than suspending helmet laws.

He says. On the internet.

"The equivalent of about 300 miles"? What does that mean?

Oh, it means "about 300 miles". Or even "a distance of about 300 miles". Right. But this is a 'technical' topic, so we need to use more and bigger words. The best words.

Unless there's some sort of weird space-time physical equivalence principle the authors are alluding to, in which case a half hour is actually 300 miles long.

I wouldn't say I underestimate the value of small-scale tests so much as I would say that Musk and company have been deliberately obscure about exactly what they were testing, and have been downright misleading about the distance between where they are now and what they claim they will be able to deliver. We were shown a dog-and-pony show constructed to meet an artificial publicity deadline, not a well-explained demonstration as part of a clearly-elucidated development roadmap.

Hmm. Do you misrepresent your progress and conceal the nature of your accomplishments to your corporate masters too, then? That could be your problem.

Look, I'm a scientist in an academic setting, but with private-sector collaborators. I do both "pure" and "applied" research. I contribute to both peer-reviewed papers and patent applications. I can tell the difference between healthy skepticism and blind anti-innovation. The problem with Musk's Hyperloop demo isn't the idea, or the technology, or the dream--it's that he doesn't tell us what the demo is actually doing. It's like writing a scientific paper that starts with the usual Abstract and Introduction, then jumps straight to a one-liner Conclusion and a big Discussion about the implications of the work and all the cool stuff that's going to happen in the future. He just skipped over the Materials & Methods and the detailed Results. We aren't told what we're actually looking at or what it can really do, just to take on faith that it's awesome. That's my issue.