Not at all. It is true that CO2 has never led temperature change before; that's because the massive anthropogenic CO2 spike in the data is completely unprecedented, so we don't know what happens when CO2 increases massively "on its own".
Climate scientists try to figure out whether this could affect global climate, and many say it can and probably is. This latter thing is what is being ignored.
Both are views of death are technically correct, but focusing on the former while ignoring the latter is problematic for reasons described at length in the article.
Afraid doesn't necessarily denote the emotion of fear, I think in this context we can safely say it's merely the anticipation of something which is disliked. Like, "I'm afraid if I order from Sloppy Joe's Pizzeria, I'll find another hair in my pizza."
The article specifically describes a comparison of Finland with Norway, similiar in size and ethnic composition. Apples-to-apples, as you say. Norway's education policy is much more similar to the US, and Norway's PISA results are mediocre, also similar to the US.
Actually, after controlling for ethnic composition, the US and Norway are not similar. In fact the US outperforms Norway by roughly the same margin that Finland outperforms the US.
Your "authority" is crap. The original article explicitly compared Finland not only with Norway but with individual US states that had similar population and percentage of immigrants. That's about as apples to apples as you can get, considering that US schools are primarily subject to state rather than federal guidelines, and Finland still came out ahead.
By way of supposed refutation, you present a source that is full of strong claims substantiated by little more than the most blatant cherry-picking. The author's "correcting for demography" is no more than throwing out the data he doesn't like. Ignoring the fact that the immigrant factor has already been examined, he pulls tricks like comparing second- and third-generation immigrants in Finland to native Swedes. Notice how the obvious comparison between native Finns and native Swedes isn't made, because it wouldn't support his conclusions. Then he goes on to say "In the case of America, 99% of the population originates from other countries" and suggests that we compare such loosely-defined American immigrants to people in their home countries - without regard for such things as economic differences between the countries. After arbitrarily excluding Asians because they pull the results up, Hispanics because they pull the results down, and undeclareds for no methodologically sound (or even fully explained) reason, he comes up with a highly suspect graph purportedly showing how the US "beats" most of Europe.
Here's the kicker: even after cooking the data that much, Finland still comes out well ahead of the US. No matter how hard he tries, he still can't manage to reverse the original conclusion. In the end, citing that does more to discredit your position than to support it.
Um, I wasn't disputing the fact that Finland comes out way ahead of everyone else. I would have expected the phrase "...roughly the same margin that Finland outperforms the US..." to be a tipoff.
I was disputing the idea that the US and Norway are somehow equivalent. They aren't. The US does far better than Norway.
The exclusion of Asians, Hispanics and Blacks is not arbitrary - it is done because Finland, the UK, Sweden and the other nations discussed by Sanandaji have very few of those groups. Since there are strong correlations between ethnicity and school performance, this is necessary - otherwise we might confuse the effect of the school system with effects of the student body. He has another blog post where he compares the US to Asian nations and excludes non-Asian ethnicities for the same reason - Singapore and Japan don't have many Whites/Blacks/Hispanics.
The goal of Sanandaji's blog post is to compare educational systems, holding student body constant.
But student body is not held constant, not even ethnically. Even within the "white European" demographic bucket there's huge variation among ethnic groups - most relevantly regarding attitudes toward education itself, teachers, and relative levels of funding or social priority given to either. Treating US whites the same as European whites is wrong on a whole bunch of levels. For one thing, we're not all white. For another, the American population is drawn from specific subsets of the European population, and has experienced different patterns of population change since then (particularly evident wrt Jews with their known unique educational profile). Lastly there's the fact that even if non-whites aren't included in the sample their effects are still felt because many white students still share schools with non-whites, and not a few of those "white" students in fact have mixed heritage.
Of course, treating ethnicity - and particularly just white vs. non-white - as the only variable other than the educational system itself is itself offensive. One might also consider the effects that 300+ years of distinctly US culture and history have had on attitudes toward education, teachers, or the relative social/economic priority accorded to either. Or the effects that wealth distribution within the US or wealth differences between the US and other nations might have. The US student body is simply not the same as the Finnish one, so if Sanandaji really wanted to isolate the effect of the educational system then he'd have to adjust for more than one other variable.
Alternatively, he or you might take note of the fact that the current Finnish results are the result of change to the system while holding demographics relatively constant. What works in Finland might not work in the US for all sorts of reasons, but claiming that it won't work specifically because of ethnic makeup is both intellectually and morally dubious.
If you have a data set that distinguishes between different flavors of European, or somehow controls for attitudes towards education, I'd love to see it.
In the meantime, I'll control for the factors I have data on, while recognizing that even more of the variation than I can see might be caused by non-school system factors.
...you might take note of the fact that the current Finnish results are the result of change to the system while holding demographics relatively constant.
This is incorrect. Because the Finns don't do standardized tests (according to the article), and because PISA is relatively recent, we don't know how good or bad the Finns did before these changes.
Of course you will, even though - or perhaps because - the intermediate result is far more inflammatory than informative.
"Because the Finns don't do standardized tests"
The fact that they don't do standardized tests doesn't mean it's impossible to know whether they're doing better. They embarked on these reforms because of a perceived problem, and seem quite satisfied with the results. If educators and researchers believe there has been improvement, based on other evidence, then I'm disinclined to second-guess them based on one semi-informed and heavily biased blogger's commentary.
So your suggestion is to disregard all data without perfect controls? In that case, we have no evidence whatsoever that any nation outperforms any other nation.
The fact that they don't do standardized tests doesn't mean it's impossible to know whether they're doing better.
How can one possibly know this, even in principle?
If you are being intellectually honest, your answer should agree with your principle of ignoring all data unless perfect controls are used.
"How can one possibly know this, even in principle?"
Are you seriously suggesting that standardized tests are the only way to measure school or student performance? What about non-standardized tests showing improvement within the same region or district? What about measuring achievement differences after leaving school? There are plenty of other options besides standardized tests.
In addition to cherry-picking and strawman, you've just added the the excluded middle to your list of fallacies. There are more than two options here, not just standardized tests or mere guesswork. Just because something can't be measured by one yardstick, even if it's the most accurate one (which itself is debatable in this case), doesn't mean other yardsticks won't suffice. Do you really want to turn this into a discussion about intellectual honesty? I'd relish the opportunity to cast your disreputable claims and tactics even further into oblivion.
Hmm. So you trust the results of non-standardized non-normed tests, even though no such tests have actually been cited.
You are unwilling to trust the results of an internationally normed and standardized test (PISA) after controlling for some but not all exogenous variables?
But nevertheless, you are willing to trust the results of the internationally normed and standardized test without controlling for any exogenous variables?
Heh, you had me going for a while. Now I realize you are trolling.
Using xargs with a pipe is easier. I don't know any reason why I'd want to "save a pipe" when working at the command line.
Also note that text surrounded by asterisks in your comment become italics. Indent text by two or more spaces to reproduce text verbatim, like for code.
I think it was more about the appropriateness of the examples. z_'s comment is right-on, and I was going to post the same thing. It's a good intro, but the examples are contrived because you just don't need it.
It's not necessarily about saving a pipe, but also, when the tool provide first-class support for the function, it's typically less prone to error. For example, the -print0 becomes unnecessary, and I've been burnt by that.
I also appreciate the writeups that don't teach poor examples. We all know how prolific copy&paste coding is. How many times have you seen "grep foo bar | wc -l" when you know it's just all-around better to "grep -c foo bar"?
I would prefer we only teach "grep -c" as a special case optimization to people who already understand how "grep | wc -l" works, because the latter is more generally useful.
I felt bad using contrived examples, but I wanted a short post to cover the basics of xargs without getting detracted with discussions of the options of find. Based on the feedback I've seen here I'll go ahead and update the post though. If you can share some simple but less contrived examples please let me know, I'd love to update the post.
Don't get me wrong; it's a perfectly good and useful tutorial. The meat comes at the end when you talk about parallelism and argument batching. That can make a world of difference when you're working on real-world problems, like moving millions of files (mv * won't work unless you're on a system without ARG_MAX, and even then there are performance implications).
I think a good intro to xargs starts with a list of things that you can't do without it. (Easy for me to say that, but of course I haven't written that piece...) It'd be great to know why to use it, not just how, you know what I mean?
Anyway, this is just off-the-cuff commentary, not criticism. Thanks for writing it up.
You can other things to show that you give a damn besides apologizing, which is kind of her point.
Would a woman apologize to another woman about the behavior of a crude man? No, because she hasn't done anything wrong. Apologizing explicitly externalizes women as being outside your group. You're saying "gee, I'm sorry one of us did that to one of you." That just reinforces the idea that "Women in Tech" are a separate entity from "People in Tech". She's asking you to stay at the "People in Tech" level.
Not-apologizing isn't a form if ignoring. There are many other things you can do than pretend to be part of the offending group so that you can apologize. If a caucasian American said to an African-American, "Gee, I'm sorry about slavery, that was really wrong of us", that would be horribly offensive, wouldn't it?
You hit the nail on the head, bellaire. The best thing you can do is support competent people and call out people who bring others down. It doesn't matter if someone is a woman, African American, or has a crazy lisp or something. If someone brings value into the workplace, which according to research, women do, we should protect them for the sake of us all. I don't want apologies. I want you to have my back, because I'll always have yours if you are good people.
As far as I know, the adaptive radiation theory is now held as correct for hominids just as it is for every other group of species. The "classical" teleological viewpoint doesn't hold up to scrutiny for the reasons you cited.
Not every period of evolution in a taxonomic branch is going to involve adaptive radiations. Although early human evolution is generally thought to have involved an adaptive radiation, by the time we get to 2mya a lot of the literature was assuming only 2-4 species existed over the next 2 million years.
Teleology was used somewhat tongue-in-cheek. The older literature was problematic because it aligned too neatly with anthropocentric ideas of goal-oriented evolution, and gave rise to nonsense objections like "Where is the missing link?" and "Why are apes still around?"
I don't doubt the integrity of the scientists who were involved with the earlier literature, but in hindsight it looks an awful lot like a teleological bias.
Climate scientists try to figure out whether this could affect global climate, and many say it can and probably is. This latter thing is what is being ignored.