Do you have the link to the actual study and data for “The Truth Wears Off”? I have read a few summary article sprinkled around the web but it has always come off as pseudoscience to me. This is a hug claim and I have seen no evidence to back it up.
It’s a popular article, not a study. It references several scientists; Jonathan Schooler on the “decline” of his results on verbal overshadowing, Michael Jennions, and so on. (I was able to find the full text by combining the article title and the term “PDF” in one Google query.)
I was under the impression that Lehrer was referencing some journal article specifically. I took away that a combination of bad science(unrepeatable experimental set up because all of the variables were not pinned down by the experimental scientist), publication bais, and randomness some times lead to an over reporting of positive results. It really does seem like Lehrer over stated his argument to make the topic seem more important then it is.
Is there a point that the article is trying to make that you are interested in that I am missing?
It is a very interesting article. Do they have an idea about the cause? It is, do they believe that the diminishing observable effects are result of earlier bias in experiments, or reflection of some real change, like viruses evolving immunity against the drugs?
More on the “failures of traditional science”—e.g. Jonah Lehrer’s “The Truth Wears Off”.
Do you have the link to the actual study and data for “The Truth Wears Off”? I have read a few summary article sprinkled around the web but it has always come off as pseudoscience to me. This is a hug claim and I have seen no evidence to back it up.
It’s a popular article, not a study. It references several scientists; Jonathan Schooler on the “decline” of his results on verbal overshadowing, Michael Jennions, and so on. (I was able to find the full text by combining the article title and the term “PDF” in one Google query.)
Seth Roberts has some comments.
This blog which I’ve just stumbled across and haven’t read yet has more commentary.
I was under the impression that Lehrer was referencing some journal article specifically. I took away that a combination of bad science(unrepeatable experimental set up because all of the variables were not pinned down by the experimental scientist), publication bais, and randomness some times lead to an over reporting of positive results. It really does seem like Lehrer over stated his argument to make the topic seem more important then it is.
Is there a point that the article is trying to make that you are interested in that I am missing?
edited for spelling + clarity
It is a very interesting article. Do they have an idea about the cause? It is, do they believe that the diminishing observable effects are result of earlier bias in experiments, or reflection of some real change, like viruses evolving immunity against the drugs?