That's not true at all. There are tons of low quality posts. There's just such a high turnover that you tend to forget some of the stuff that you automatically skip or filter.
580 karma · joined May 30, 2010
That's not true at all. There are tons of low quality posts. There's just such a high turnover that you tend to forget some of the stuff that you automatically skip or filter.
That doesn't make any sense at all. People don't intercept data transmission with their eyes. If your computer or device can "see" the light, so can mine.
I rarely have more than 4-5 tabs open at a time, so I'm honestly curious.
On what grounds would she reject the song, but be ok with the lyrics? Because by asking him to sing it she's basically said "I'm ok with the words. But I might not be ok with the delivery."
http://groups.google.com/group/qsb-mac-discuss/msg/ded590b8b...
Isn't that what Amazon S3 already is?
So basically he was admitted on traditional merit, by misleading application reviewers.
vs.
>I got an extra recommendation from a professor teaching the math class I was taking, whom I had asked to explicitly let them know that I was mature and a hardworker...
These statements are irreconcilable. A hard worker does work that he/she is assigned, and does not make pre-mature value judgements on the worthiness of said work. Being smart does not mean you're a hard worker. That was a pretty irresponsible recommendation by the professor, considering you didn't exhibit the qualities you claimed to.
This should either be called multiplicative inverse square root, or reciprocal square root, no?
Credentials matter. That's why we require people have them. So we can be certain (within reason) that they possess the capabilities their degrees imply. In the case of a politician, the degree could signify a level of critical thinking, diligence, and knowledge. The only thing plagiarism tells us is that he is a liar, and a cheater.
Wait a second, he has the perfect credentials for politics...
I think Dvorak is simply pointing out the fact that Facebook is being praised like the second coming of Jesus, while AOL is regarded as an internet backwater and failure, where they both provide/provided very similar functions.
Calling these investors angels is misleading because it makes it seem like angel investing is an act of altruism. These guys use this to imply that when something happens to make it more difficult for them to make money, it means it's bad for the startup environment in general. Get over it.
I hear this repeated a lot, and I think people parrot it without really understanding what they say. I'm not saying that this particular article is presenting properly sampled data, but in reality, a lot of social sciences collect their data by sampling a population and pulling together a plurality of "anecdotes".
That's basically the definition of data. An anecdote _is_ data. Whether or not it's statistically significant depends on the plurality, and sampling procedures, but to call it not "data" is quite unwarranted.
If you believe in western medical science, then you had better believe in anecdotes as data, because to this very day, medical journals report single case studies as data and evidence for dissemination across the medical community.
There are a lot of good science minded people, and there are a lot of good, driven self-promoters. Most successful scientists you encounter (apart from the odd genius) belong in the intersection between groups.
The only thing I can think of is "mother", but that's a cheeky answer.
I shall call this phenomenon occupational narcissism.
I think your implication that the value of trades are somehow worth less than the value programming brings to society is unwarranted.
According to Baye's Theorem, the P(PhD|jobless) = P(jobless|PhD)*P(PhD)/P(jobless)
Where according to [1], P(PhD) = 0.01 (for all PhDs) so assuming roughly half are science, P(PhD) = 0.005, and we get
P(PhD|jobless) = 0.0013, or 0.13%, which means that roughly 1 out of every 1000 jobless people has a PhD.
[1]http://factfinder.census.gov/servlet/QTTable?_bm=y&-geo_...
Arts and Sciences => Academic
Engineering, Medicine, Law, Pharmacy, Business, and everything else => Vocational
I think we need to recognize that there are two classes of people who go to college:
Academic: those who wish to learn
Vocational: those who wish to qualify for jobs
I'm not saying I don't agree that the test may not have measured anything useful, or that there wasn't some sampling bias, but there's nothing inherently wrong with 3 data points per person over four years.