如果是学术讨论的话，基本的数据都搞错，这篇文章只有被审稿人抽脸然后扔进垃圾堆的份，而实际上也是如此。比较严谨的一个东西。I just want to add this: Phelps improved 4+ seconds in his 200 fly between 14-15 years old. Ian Thorpe also had a similar performance improvement. Ye is now 16. She was 160 cm in height and now 170 cm. Human biology also play a role she gets stronger and bigger naturally. in a 400 IM that has more room for improvement, with good training she got in Australia.
In both the 400 IM and 200 IM finals, Ye were behind until freestyle. Well I guess there is "drug" that just enhances freestyle, but not the backstroke, breast, and fly. Does that make sense? Also, it is not professional to only mention that 'her showing in the last 50 metres, which she swam faster than US swimmer Ryan Lochte did when he won gold in the mena™s 400 IM'. The whole fact is that Ye is more than 23 second slower than Lochte in 400 IM. Plus, Freestyle isn't Lochte's best leg, but it is Shiwen's best leg. Lochte had a huge lead on the field, and almost coasted to the finish. He wasn't pressured by the field to go all out that last few meters.
And before we get into the fact there's no way a woman should be able to come close to man's time for a final leg of 50m. May I present the following:
纯转一位网友的打脸文虽然我感觉这位哥们可能审稿审魔怔了，但是他几乎把这篇狗屁不通的文章全驳回去了
In a sport event that 0.1 sec can be the difference between the gold and silver medal, I see no reason that 5.38 sec can be treated as 7 sec.
Second, as previously pointed out, Ye is only 16 years old and her body is still developing. Bettering oneself by 5 sec over two years may seem impossible for an adult swimmer, but certainly happens among youngsters. For regular people including the author it may be hard to imagine what an elite swimmer can achieve as he or she matures, combined with scientific and persistent training. But Third, to compare Ryan Lochte's last 50m to Ye's is a textbook example of what we call to cherry pick your data. Yes, Lochte is slower than Ye in the last 50m, but (as pointed out by Zhenxi) Lochte has a huge lead in the first 300m so that he chose to not push himself too hard to conserve energy for latter events (whether this conforms to the Olympic spirit and the "use one's best efforts to win a match" requirement that the BWF has recently invoked to disqualify four badminton pairs is another topic worth discussing, probably not in Nature, though). On the contrary, Ye is trailing behind after the first 300m and relies on freestyle, which she has an edge, to win the game. Failing to mention this strategic difference, as well asPut aside the gender argument, I believe this is still a leading question that implies the reader that something fishy is going on.
Fourth, another example of cherry picking.As it turns out if we are just talking about the last 50m in a 400m IM, Lochter would not have been the example to use if I were the author. What kind of scientific rigorousness that author is trying to demonstrate here? Is it logical that if Lochter is the champion, we should assume he leads in every split? That would be a terrible way to teach the public how science works.
Fifth, which is the one I oppose the most. The author quotes Tucks and implies that a drug test can not rule out the possibility of doping. Is this kind of agnosticism what Nature really wants to educate its readers? By that standard I estimate that at least half of the peer-reviewed scientific papers in Nature should be retracted. How can one convince the editors and reviewers that their proposed theory works for every possible case? One cannot. One chooses to apply the theory to typical examples and demonstrate that in (hopefully) all scenarios considered the theory works to a degree, and that should warrant a publication, until a counterexample is found. I could imagine that the author has a skeptical mind which is critical to scientific thinking, but that would be put into better use if he can write a real peer-reviewed paper that discusses the odds of Ye doping on a highly advanced non-detectable drug that the Chinese has come up within the last 4 years (they obviously did not have it in Beijing, otherwise why not to use it and woo the audience at home?), based on data and rational derivation. This paper, however, can be interpreted as saying that all athletes are doping, and the authorities are just not good enough to catch them. That may be true, logically, but definitely will not make the case if there is ever a hearing by FINA to determine if Ye has doped. To ask the question that if it is possible to false negative in a drug test looks like a rigged question to me. Of course it is, other than the drug that the test is not designed to detect, anyone who has taken Quantum 101 will tell you that everything is probabilistic in nature, and there is a probability for the drug in an athlete's system to tunnel out right at the moment of the test. A slight change as it may be, should we disregard all test results because of it? Let’s be practical and reasonable. And accept WADA is competent at its job.
Sixth, and the last point I would like to make, is that the out-of-competition drug test is already in effect, which the author failed to mention. Per WADA president’s press release5, drug testing for olympians began at least 6 months prior to the opening of the London Olympic. Furthermore there are 107 athletes who are banned from this Olympic for doping. That maybe the reason that “everyone will pass at the Olympic games. Hardly anyone fails in competition testing� Because those who did dope are already sanctioned? The author is free to suggest that a player could have doped beforehand and fool the test at the game, but this possibility certainly is ruled out for Ye.
If you want to cover a story of a suspected doping from a scientific point of view, be impartial and provide all the facts for the reader to judge. You are entitled to your interpretation of the facts, and the expression thereof in your piece, explicitly or otherwise, but only showing evidences which favor your argument is hardly good science or journalism. Such an article in a journal like Nature is not an appropriate example of how scientific research or report should be done.
