4,040 karma · joined April 26, 2013
And this is a "journalist's resource," one associated with the Harvard Kennedy School? No wonder journalism is garbage these days.
But that the authors, who presumably could check the raw data the plot is coming from, didn't immediately come back with this explanation, makes it sound much more likely that this is just fraud. Oh well.
Similar to how cosmologists aren’t satisfied with “god did it” as an explanation. :)
There exists a formidable body of study describing the practices and theory required to write knowably-correct software, but the software engineering industry treats these ideas with utter derision. Even lighter-weight methods for knowably preventing broad classes of errors(e.g. Haskell-like type systems) are considered niche and pretentious. These opinions are mirrored by many CS programs, so most engineers wouldn’t have the slightest clue how to apply these methods, or even know that they exist, should they decide they were necessary.
With that kind of culture, what can we expect?
Being short-sighted is sometimes correct- you’ve got to cross the foreground to reach the distance.
But, I wonder if you asked a 115-year old whether they wanted to die in 5 years what they would say then.
Theoretically, this puts teachers on even footing, even when one might be teaching a class of Harvard-prep elementary schoolers and another teaching a class of inner-city kids who have been educationally neglected their entire lives. And data from student performance over time in the current educational system should be entirely sufficient to train the model.
It's not clear if the study referenced controlled for student variance this way; if so, it would readily explain the lack of results.
[1] https://www.statista.com/outlook/368/109/ride-sharing/united...
First and foremost, understand that your life is fine; you're a software developer with a job that, albeit boring, is stable and makes good money. You're supporting your family. Most people would give a limb to be in that position. Your problems are psychological.
Consider seeing a therapist; it sounds like you need more perspective on your own life than a bunch of commenters on HN could give you.
But for this commenter's two cents; if you do continue looking for a (even) better job, try to find one that gives you better work-life balance. 20 hours for work+sleeping+commute? A good situation should see that down to 17, tops- 8 for work, 1 for commute, 8 for sleep. Moving closer to work, to reduce commute, has been cited as one of the greatest happiness-enhancing life changes one can make. The 8 hour workday is poo-poo'd by HN because it's full of SV workaholics, but its an available and healthy choice outside that scene. (Notably, either working for a Big Name company or doing a startup would make your life much worse in this regard!) If sleep is eating up the time, consider getting tested for sleep apnea (which can also have complications such as depression... natch!)
With 7 hours of free time per day, rather than 4, you'd be in a much better position to get your feet under yourself, both psychologically and practically. (And perhaps, eventually, to make a better prototype for what you want to do long-term.)
And importantly, in those cases, it's fixed by psychological means- usually not by life success, even when such success occurs.
(Even) more broadly; I wonder if a similar system will wind up dominating in some fields of science. There's been a bunch of cases where prominent research papers in AI or biomedicine have been published by entirely for-profit companies; one supposes they benefit in the same fashion that more traditional software companies benefit from publishing open source work, namely by building a reputation and cultivating a larger ecosystem around their expertise.
It would make me feel somewhat better about the whole mess to know this was the case. A successful Theranos would have been the best thing to come out of SV since the Apple II. It was sad to see it fail because of executives' delusions.
Scientific applications require things to fail hard and often, to aggressively fail whenever anything is potentially behaving incorrectly. R does the exact opposite of that in several different, pernicious ways. IMHO, Python is more dangerous than a scientific computing language should be, but at least it will stop when it hits an error. R has undoubtedly cost humanity millions of dollars in wasted research costs and caused untold confusion, from otherwise perfectly-performed studies reporting corrupted statistical results. The world would be a noticeably better place without it.
I simply cannot articulate my opinion about R without sounding grossly hyperbolic. I'm sad that HN, a place which is typically enlightened in the ways of the programming arts, is so confused what this article is on about. If we tolerate such blatantly hostile design in something as important as the language of scientific statistics, where do we expect to get?
You also seem to assume that, however badly the Russians have us over a barrel through infected infrastructure, that we haven’t gotten into their stuff just as badly, or worse. All the regulations that U.S. spooks complain about aren’t a problem once you’re on foreign soil working on foreign targets. Cyberwarfare favors the attacker, just because we’re very vulnerable isn’t a reason to believe we don’t have the upper hand.
(And as noted, the U.S.’s budget for this stuff is way greater than our opponents’. If we’re not decisively on top something is seriously wrong.)