The worst thing that could possible be discussed in public is the trust issue. Science is not based on trust, it is personal relationships must be based on trust. Scientific claim cannot be true or wrong just bacause of trust. When reviewer gets papaer for review, he does not know the author of the paper let alone trust him or not, so paper is revewed not based on trust.
if you someone says at first we have to trust sceintific institution, a then take seriously their reseacrh then he gives credit to Flat Earthers, baecause their claim is only based lack of trust on NASA and other space agencies.
That’s not the whole story. In my field of precision measurement, for example, the community is very small, such that you can easily identify the author of the paper solely by its content. There’s a lot of trust that is crucial for the peer review process to make sense; for example, a reviewer would ask, “Have you looked into whether changing X causes a change in your results?” And we would reply, “We tried that by using methods Y and Z but it did not cause a change.” There is no completely infallible way (short of visiting our experiment in person and asking for the data) to verify that we are not lying or exaggerating. But there is mutual trust that everyone has sufficient scientific integrity, competence and meticulousness to conduct their experiments properly and pursue any loose ends.
Science is driven by trust. ID has a major trust problem, and has had one long before I entered the scene. Don’t knock me for 1. stating the obvious, and 2. giving Behe the opportunity to do better than everyone expects of him.
The reason we do not professionally trust him, and must check every evidential claim he makes, is because he does not communicate all the salient points about the data, and does not admit obvious errors.
@NLENTS you need to watch part of this too. They asked about out what looks like a mistake you make in explaining Behe’s position. If that isn’t either retracted or better explained, I expect they will be pressing you on this.
I did not follow the comments. I think my point was understood:
We understood the science far better than they gave us credit.
Our point is that Behe has misrepresented the White quote, due to a large misunderstanding of epidemiology.
There was no suitable way to reference this in our review except with the Summers ref, and we gave fair notice to Behe of this.
The ball is in Behes court, as no one can concede or clarify points on his behalf.
We are concerned because even obvious and clear errors are being dodged.
I don’t expect most people will follow the scientific details. I do think people can see who enagaging in good faith, and this sets the context for Behe to engage in good faith, if he so chooses.
Keep in mind too that this was a tiny audience. The only people watching it are technically minded. McLatchie, it think, understood my point and he is in their circle. I @bjmiller was there too.
DI: We are inviting you into the conversation, but we have to engage in good faith.
Oh jeez, what are they upset about? In any event, here’s the thing. Why should I care about them pressing me? Considering how they never ever admit their many mistakes, missteps, and deceptions, why should I give a hoot about their concerns? Behe doctored the hell out of a chart to try to convince people I am incompetent. Methinks he doth protest too much.
at least, I gave reasons, and explained my view, why I think so, and nobody explained why and how I am wrong. People’s paper gets published just because of trust?..oh you are a good boy I trust you, let publish you, oh no, I dislike you, I do not trust you, you are not allowed to be published? this is the way, science works?
Yeah, it’s clear you don’t get it. It would be incredibly easy to fake data or analysis or any of it. You wouldn’t get away with it for long because others won’t be able to replicate. But reputation is everything in science because we need people to trust in our work. This is why ethics, honesty, and transparency is so important. Trust is everything.
I think the average person would find it rather strange that you, Dr. Swamidass, agreed with the central thesis of the book but gave it a bad review because you have trust issues.
Can we review the substantive issues you had with the book please?
Maybe we can start with the polar bear gene. Here’s Behe’s explanation of his reasoning:
That is false. I did not give him a poor review because of trust. I never claimed this.
Rather we evaluated DD on its own terms. It was given a poor evaluation. His response was not trustworthy. Rather than acknowledge unequivocal errors, he did “other” things. This makes it worse for him.
We continue to seek to engage with Behe to sort this all out. He has every opportunity to engage with us in good faith. It unfortunate that this has been difficult for him, but this is how science works.
Are you certain that Behe and @swamidass agree on the central thesis? It could prevent some misunderstanding to state what you think the central thesis is and see if @swamidass actually does agree with it.
Two other studies of the heterozygous mouse model - published in 1995 and 1996 - showed that these mice had significant defects in male fertility. If the polar bear mutations acted to lower the activity of its own APOB, results similar to those for the mouse might be expected. In other words, if Behe’s reasoning was correct, polar bear males should have serious fertility defects.
They almost certainly do not, which means his rationalization defending his claim that the polar bear APOB has only 50% of normal activity is not valid.
