There are plenty of other examples of scientists behaving under what can only be considered evil. Instances of trying to step around the Nuremburg Codes, and in many cases succeeding. The scientist cares about his work first, his livelihood second, truth third, and morality last.
As someone who actually knows a lot of people in academia and proper scientists. You talk a lot of shit.
Scientists are people. Just like you, stop pretending that they are a subset of humans so that you can treat them with disdain. You have yet to show that you yourself are capable of actually reading a proper scientific publication, or even understand the processes that most publications go through.
Of course there are junk publication, and junk scientist. Just like you get junk, lawyers, architects, engineers, priests, people on this website and politicians. But to throw a huge portion of people in a giant junk box because they are not saying what you want them to say, says more about you than it does about them.
How about you go find someone that does real research, sit down and have a talk to them. Maybe discover that these people you want to burn at the stake are real humans.
Like it or not, like many other professions they are a subset of humans who are taught certain values and ideologies either explicitly or implicitly. To pretend that is not the case is a bit silly. Especially given the concerned effort to do this very thing since the backlash against science in the after math of Nuremburg.
Many of my friends are academics and they know the disdain I have for their profession. Some are open enough to admit it, like those in the above cited studies have. Others are not, but we agree to disagree.
Let's look at a few such notes from scientists:
“I think it’s really unfortunate that there’s so many rules about how we use radioactivity, how we use these animals, but there really aren’t many guidelines that train scientists on how to design experiments, how to keep notebooks. And it’s almost as if young scientists think that, ‘Oh, this is a pain, you know, let’s just do it and not think about it, and you’re just pestering me and you’re expecting too much.’ And it’s extremely frustrating as someone that’s running a lab.”
“There was one person that is a very famous scientist that I won’t name, who, when I was working in my post doc, had a ter . …—he has still has the reputation. If he liked you, if you were really good, he wrote you a lousy letter of recommendation so you would stay in his lab forever. If you got a good recommendation from this guy, you don’t want to hire this person, because he really wanted to get rid of them.”
“[N]ewcomers [can] … get on the wrong side of somebody like the chairperson, or head of the department with a lot of power and then there is trouble … we have to … navigate very carefully in order not to burn bridges, and derail long-term research projects … It is very complex.”
“When I left my post doc, I was told, “don’t compete with me, you won’t win.” And you know it was a given that you wouldn’t, you wouldn’t win … for that particular person I knew up front that he was not an easy person. I knew it … There was no question, this is mine, and it is like signing a paper, “this is mine. I’ll teach you what I know, but any particular intellectual property, don’t mess with me.”
“I’m always wary of submitting grants to study sections, because those people who sit on the study sections, it’s not unknown for them to take your ideas, kill your grant, and then take and do it. And I think all of us have either had that happen to them or know somebody who had that happen to them.”
“For example, a particular study that I’m involved in is about drugs to … offset the effect of radiation … [The] company that makes [the] drug … does not want a certain control group in the study and will not fund the study if that control group is there … . there’s nothing illegal about [this], and I know for a fact it happens all the time and that’s the way it goes. It’s because government can’t pony up enough money to do all the clinical research that needs to get done. In this … study … the individual who’s going to be principal investigator is an untenured assistant professor … And you know, screwing around with this drug company, negotiating the study, has cost her a lot of time, and she, it’s going to make it harder for her to get tenure. And the pressure is clearly on her to knuckle under. I mean, she could have started that study months ago if she’d just said, sure, I’ll do whatever you want, give me the money.”
“If you ask why are the rules being bent, it’s, in some cases, because too many rules have been implemented that obstruct you getting the necessary things done …. there get to be so many rules and you’re doing anything you can to dodge around those rules without totally stepping over the line … they implement more rules and then there’s more individuals that go, like, ‘This is a ridiculous rule, how do I get around that?’”
“For instance, you have the two grants. I have to buy two bottles of the same chemical because something bought by this NIH grant can’t be used for the project sponsored by other than NIH. So as many as you have grants, you have to have the same, yes, the same bottle of the same chemicals. And of course, you have to sign that ‘Yes, this came from the funds used for this project. That’s why I’m buying this.’ But of course I use it for something else.”
“One gray area that I am fascinated by … is culling data based on your ‘experience.’ … there was one real famous episode in our field … [where] it was clear that some of the results had just been thrown out … [When] queried [the researchers] … said, ‘Well we have been doing this for 20 years, we know when we’ve got a spurious result …’ [When that happens] … Do you go back and double check it or do you just throw it out … [and] do you tell everybody you threw it out? I wonder how much of that goes on?”
“I was defending my master’s thesis and I was doing a poster presentation, and the external examiner came and had a look at some of my graphs. And he said, ‘You know, well I’d be much more convinced by your data if you’d chopped off the last two data points …’ I was like, well, I wasn’t sure that you could do that kind of thing (laughter) … for me it’s being honest about what you found and … my work may be more convincing had I lopped off the last two data points, but those two data points may be more interesting than something that has happened before.”
“Okay, you got the expected results three times on week one on the same preparation, and then you say, oh, great. And you go to publish it and the reviewer comes back and says, ‘I want a clearer picture,’ and you go and you redo it—guess what, you can’t replicate your own results… . Do you go ahead and try to take that to a different journal … or do you stop the publication altogether because you can’t duplicate your own results? … Was it false? Well, no, it wasn’t false one week, but maybe I can’t replicate it myself… there are a lot of choices that are gray choices… They’re not really falsification.”
So, let's look at the data.
Obscuring the meaning of data, dropping data that doesn't fit what you want it to, using your gut feeling: 15%
Not keeping adequate records as required: 27%
Ignoring rules concerning biosafety, radioactive materials etc: 36%
Using funds improperly from another funding source: 51%
Providing inaccurate letters of recommendation: 20%
Cutting corners in a hurry to complete a project 23%
Using their position to exploit others: 46%
Changing the methodology and design and results of a study due to funding pressures: 15%
Withholding details or results: 11%
Stealing ideas: 45%
Suffice it to say, this is a real problem in academia - and the above academics agree enough to publish studies showing as much.