Stem Cell Research Paper Recalled 112
MattSparkes writes "One of the best-known stem cell papers describes adult cells that seemed to hold the same promise as embryonic stem cells. Now some of the data contained within the paper is being questioned, after staff at a consumer science magazine noticed errors. It shows how even peer-reviewed papers can sometimes 'slip through the net' and get to publication with inaccurate data."
Sexy science, bad science (Score:5, Interesting)
Of course (Score:5, Interesting)
Anyone who's read a significant number of journal articles has spotted some huge errors that somehow got published. I know of one paper (not naming any names!) where in explaining how a calculation was done it had the line: 18-7=9. Clearly (from context) the line meant to say 17-8=9, but I found it humorous that such a fundamental error got past both the original authors proof-reading and the peer-review process. These things go back and forth a couple times, usually.
Peer review isn't a perfect process. It just helps reduce the noise-to-signal ratio.
Re:Data says whatever you want it to (Score:3, Interesting)
I'm not sure if that's a defence of slashdot's moderation/threading system, or if it's an attack on science as it stands today.
This is unexpected? (Score:4, Interesting)
Another one published in a prestigious journal and with a few million in government backing found 100+ genes that were significantly linked to cancer. The statistics was the type that anyone who has taken even a couple courses could find flaws in. So someone redid the analysis and found ~8 such genes at best and possibly fewer. Due to the profile of this one the proper analysis is being done as a follow-up with the original researchers help (otherwise the flaws would have been much harder to identify).
So yeah, published papers can and do have flaws but they usually they get caught after a while, the point of publishing in some ways. At the same time more researchers should release their data so it can be verified more accurately (this has its own problems as if too many people run too many methods on the same data there will be spurious results of one sort or another).