Peer Review is No Panacea
theatlantic.com
theatlantic.com
Now you're the old guard. Repeat.
'Ya gotta love a tautology adorned as journalism.
Are there any reasonable alternatives for privately funded research? No. There will always be the urge to game data to fit the hypothesis and honest people will still make mistakes. This forever shall remain a challenge for science.
I'm struggling with the urge to flag, but recognize the applicability to HN.
I've come to classify attitudes about science now into three broad categories. Hostilty: "I don't care what science says, Homeopathy worked for me." Religious: "Peer review is never wrong, and therefore the consensus is also always correct in every particular and those who disagree are heretics of science!" Realistic: "Science is the best way we have to find truth, but it isn't perfect either. The history of science should be learned and carefully examined, and it should not be forgotten that everything we see in the past is still around today, the only question is where." Rather a lot of people fit into that second one, and think it is the best understanding of science there is, and tend to label people with the third level of understanding as heretics on par with homeopaths, too. Trying to prod people out of religion-of-science into realistic-understanding-of-science is a noble goal, worthy of a blog post.
Science has been wrong before, for decades at a time in every discipline I've ever studied enough to learn about its history (in addition to the current consensus), and the question is not whether there are disciplines every bit as wrong right now, but which ones they are. If you don't understand that or haven't internalized it, you don't understand the process of science, even if you can recite its tenants at will. When we say that science is a process, not an end-result, that isn't just words, it is the reality, and what it means in practice is that the consensus is very frequently wrong. There's nothing to "correct" in consensus if it's presumed always correct. The religious idea of science makes no sense; consensus must be wrong at some points in time, it is a necessary step.
(This is all discipline-neutral, by the way. I do have my opinions about which disciplines are most likely to be wrong right now, but I freely acknowledge those are opinions. Certainly in the past entire disciplines have made glaringly-obvious-in-hindsight-and-common-sense mistakes before and it is no great insight to think that there might still be such errors around. But again, I freely admit that only time will really tell, and there are certainly other wrong-consensus-views I agree with.)
Ironically, you've made a claim here which is unsupported by any evidence at all. ;-)
Seriously though, the thing about this is that research and experimental scientists are working in environments that you and I know very little about. Their claims are an extension of their experience in that environment; they spend a great deal of time for example designing experiments or attempting to reconcile large volumes of data, and when they've spent months -- or, more likely, years -- doing that, they might publish a paper.
Then the public occasionally gets ahold of this brief summary of the scientist's work over that period, and they object that the claims are specious or sparse or incomplete.
This is not to say that a scientist's claims should be trusted just because they're a scientist, but rather that the only acceptable challenge to a shortcoming in a scientific presentation is ... more science, not argument or conjecture.
To put it another way: it is extremely unlikely that a layman will find a consequential error in a peer-reviewed scientific paper published in a reasonable journal, especially without any domain knowledge in that particular field.
I just want people to bend over backwards to tell me the ways in which they might be wrong, this is useful because it helps you understand the limits of understanding and can allow people to make informed decisions.
What you're grappling with here is basically the "I don't know what I don't know" problem. Other people on HN have talked about this before, but basically, there's the knowledge you know, the knowledge you know you don't know, and the knowledge that you don't know you don't know. How can you possibly begin to challenge an assertion in a scientific paper if you don't even know where the mistakes might be?
(I'm going through something similar right now in a criminal case. I have no background in law. I do not trust the attorneys involved. It's maddening.)
I agree that it would be nice if as a matter of habit there were a brief statement in papers and presentations outlining incomplete areas of the research or areas justifying further study. However, I would not want that to evolve into an onus on the part of the working scientists to educate every layman with a passing interest in their research.
If you really want to challenge something in a specific field, the best thing you can do is immerse yourself in that field for as long as it takes to develop an understanding of the basic principles. Demanding much else is merely intellectual laziness.
There are many incentives to overstate the validness of ones claims and unfortunately it weakens the overall strength of the field. I'm not asking that they make it understandable to the layman, but perhaps on any recommendation they could put confidence intervals on predictions.
Here's a presentation by Carl Wunsch, and here are the slides: http://web.mit.edu/esi/symposia/symposium-2009/2009-symposiu...
http://cdn.static.viddler.com/flash/simple_publisher.swf?key...
He's one of the worlds experts on the ocean, and is saying the same thing i am.
Here's a feynman quote on it:
I would like to add something that's not essential to the science, but something I kind of believe, which is that you should not fool the layman when you're talking as a scientist. I am not trying to tell you what to do about cheating on your wife, or fooling your girlfriend, or something like that, when you're not trying to be a scientist, but just trying to be an ordinary human being. We'll leave those problems up to you and your rabbi. I'm talking about a specific, extra type of integrity that is not lying, but bending over backwards to show how you are maybe wrong, that you ought to have when acting as a scientist. And this is our responsibility as scientists, certainly to other scientists, and I think to laymen. -- Richard Feynman, CARGO CULT SCIENCE
Also to be clear, I'm optimistic and hope we can solve all sorts of problems and discover how the world works -- but I think to we need to have integrity and maintain to foster and maintain that trust. The medical field is ripe with wild extrapolation from small studies, it's a sign of exhuberance -- "Hey, here's the answer to the problem you having!" When it should be, "It seems that in some situations this may help, we still have to do more studies and don't know why it works but it seems to." It's more honest and when things go wrong, which they almost always do the person understood that it wasn't well understood.
I encourage you to watch the video - it's by an expert saying that we don't have enough information to be sure about anything and he proposes the following advice:
In the meantime, study the system; study the control options; but----take precautions (mitigation), prepare for adaptation, and do nothing that is even possibly irreversible (which may be almost anything, including of course, the ongoing injection of greenhouse gases).
Also his example of gravity waves, I think is extremely enlightening.
I went into the video with an open but critical mind, and attempted to stay that way even as I realized that he was presenting a point of view which I would not usually agree with. So, while I think he presented some casually interesting points, I also find it curious that he seemed to be committing some of the very same errors which you are criticizing others in the scientific community for committing, as well as other errors which even I -- as a layman -- was able to catch.
It's entirely possible that his presentation is merely incomplete, and that he has good reasons for drawing the conclusions that he was presenting, and he merely couldn't present those reasons to a non-scientific audience. (Which would be pretty much my side of the argument in this thread, so I'm totally willing to accept that possibility.)
I won't devote the time to a point-by-point analysis of his presentation, unless you express enough interest in continuing this to make it worthwhile, but in short:
+ He completely -- and carefully -- ignores various geological records which go back many hundreds of thousands of years, and which have a high confidence of accuracy in the climatological community;
+ Those records do present a regular semi-chaotic rhythm reminiscent of a strange attractor, and our era appears to currently be the zenith of that rhythm;
+ And if those records are accurate, then current measurements exceed any previous maxima of the last many hundreds of thousands of years;
+ He seems for some reason to draw the analogy that the climate is correctly modeled as a chaotic system of some sort -- i.e., one which is extremely sensitive to initial conditions -- even though this is still a matter of debate within the climatological community;
+ While the Titanic may arguably be one example where taking no action may have resulted in a more favorable outcome, coming up with or inventing countless counter-examples is trivial, so this does not support his case at all;
+ His "gambling models" proposal is quite silly, if for no other reason than that one of the biggest unpredictable parts of the climate are related to human activity.
A lot of the rest of his presentation seems to be an argument-from-ignorance. I think he is framing the discussion in such a way as to suggest we have less information and less knowledge than we actually do, and then within that frame, he is arguing that we haven't the knowledge to decide what to do.
But I'll think about it some more.
EDIT: Funny, I pulled up a random-ish TED video (searched for "climate"), and ended up watching a 4-minute presentation which is pretty much exactly the point I've been trying to make: http://www.ted.com/talks/lang/eng/rachel_pike_the_science_be...
For me, there are two caveats to this: 1) the mere possibility that a discipline of science might be wrong does not mean it is wrong, and unfortunately the possibility of wrongness is often used as an argument where it shouldn't be; 2) the various sciences tend to be wrong in a very specific way, and for some reason this often gets ignored in discussions like this.
The last time I can think of the popularly-accepted science of a discipline being "wrong" in exactly the opposite way from what later came to be accepted as "right" was the gradual shift from a terra-centric view of astronomy to a relativistic one. It turned out that not only was the Earth not the center of the universe, but the universe doesn't even have a center.
Since then, science -- and mathematics -- have been wrong in the sense that they are continually being revised, not reversed. Relativity represents a revision of Newton's laws, not a reversal, etc.
I think that there is less and less -- though not non-zero -- opportunity for any discipline of science to discover that its foundations are completely incorrect.
I'd make that statement even stronger: the consensus is almost certainly wrong. The variables are just in what manner it's wrong, and to what degree.
It's not all a revolutionary shift to a Copernican cosmos. Most things we know pretty well today, but ought to fully expect to have tweaked tomorrow. The cliche example is of Newtonian dynamics being improved by Einstein, which is still being refined through quantum mechanics, etc.
So is Thomas Kuhn's The Road Since Structure, which collects many of his papers on, mostly, the philosophy and history of science, which are more interesting than I would've thought.
The problem is that some people, especially those outside academia/research, have a different idea of what "passed peer review" means and a different idea of how the machinery of science works. Passing peer review doesn't mean that something has been proven as fact, it merely means (one hopes) that the authors did their due dilligence and put together research that seems solid. Put another way, it means that the reviewers don't think that the paper is obviously BS.
Peer review is just a spam filter.
The danger comes when people elevate passing through the spam filter with scientific proof.
Peer review is the start of the debate, not the end of it.
</self-referential-irony>
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And a few others I'm too lazy to copy-paste.
On the other hand, "Your search - "is panacea" - did not match any documents."