Scientist Says Most Scientific Papers Are Wrong
An anonymous reader writes "According to epidemiologist John Ioannidis, the majority of published scientific papers are wrong. If Ioannidis's own paper is right, a randomly chosen scientific paper has less than a 50% chance of being true. He also says that many papers may only be accurate measures of the prevailing bias among scientists. However, a senior editor of a scientific journal says that scientists are already aware of this: 'When I read the literature, I'm not reading it to find proof like a textbook. I'm reading to get ideas. So even if something is wrong with the paper, if they have the kernel of a novel idea, that's something to think about.'"
Wow! Science can be wrong.
That is how the system works.
But just because these two scientists were wrong about the precise mechanics of evolution doesn't mean that they were wrong about how the data should be interpreted. The data shows that life has progressed to meet the demands of its environment. Survival of the fittest is correct, but there is no straight-line progression of lifeforms leading one from another as was supposed when these authors first penned their ideas.
Scientific ideas may come and go, but the data set just gets larger. That is why this guy can claim the others are wrong: he has a better data set.
"Rocky Rococo, at your cervix!"
Whether anything anyone says is right or wrong, it's a matter of opinion first and foremost.
No, it's not.
Our biology does not provide us
Our biology provides us with excellent truth detectors: throughout most of primate evolution, if you were wrong about whether your food was poisonous or whether there was a lion hiding in the bushes, you didn't get to pass on your genes. You didn't get to debate social relativism with the lion before he made a tasty meal out of you.
Most of science is still ultimately about matters like that, matters that have good answers, at least in principle.
Some science has veered off course, however. Every major scientific discipline (physics, biology, chemistry, etc.) has subareas where people start conflating experimental facts with opinion, aesthetics, and prejudice.
So, scientific truth is not a matter of opinion, but a lot of what is published in science is not about scientific truth.
God's irrelevant to whether ID is true or not --- it's whether ID is falsifiable or not that's important.
Which, AFAICT, it isn't, so it's still not science. But let's at least be precise when slagging them off...
It's not just psychology that has so much publication list padding. During my PhD I was asked to do a detailed review of about ten papers in my area (process scheduling algorithms). They were all peer-reviewed and published in reputable journals by well-known researchers. IIRC:
- About half had very little novel content. Maybe one equation changed, a few different examples added
- Two or three had basic mathematical errors
- About half omitted details that were required to easily replicate their results or actually use their methods. I spent weeks piecing together what the authors meant from various clues scattered across appendices, tables and figures.
- Several had gaping holes in the method that were apparent to me, a first year PhD with no experience.
- All of them cherry-picked examples to show their methods in the best light, completely omitting any bad results.
The article is about "Published Research Findings". It doesn't specify that all the papers analyzed were from peer reviewed journals. There are a lot of non peer reviewed journals out there. Usually you only publish in those if you have a short paper, or one that's not extremely novel, or just not of great general interest. Many times researchers will publish in those journals when they can't get the paper published in a peer reviewed journal. I'm sure the percentage of false findings in those journals is much higher, and may have altered the ratio of found false papers significantly.