Live data from Hacker News

Most scientists 'can't replicate studies by their peers'

bbc.co.uk

141–150 of 356 posts

Re: Most scientists 'can't replicate studies by their peers'

#141
post #133

Earlier quoted context omitted.

You can add to this that if you are in a facility with both rats and mice, you should never house them in the same room, and you should probably not enter a mouse room after being in a rat room. In the wild, rats are predators of mice.

But in the wild, there aren't separate rooms for predators and prey, either. If laboratory rodent experiments are so reliant on such synthetic conditions, what's the point?

If some mice are housed near rats and others are not (or simply vary in how far they are from the nearest rat), that will introduce variation into your measurements. For experiments not specifically about mouse/rat interactions, this variation is irrelevant noise that makes it harder to detect or characterize the effects the experimenters actually care about.

Re: Most scientists 'can't replicate studies by their peers'

#142
post #28

"all you have to do is read the methods section in the paper and follow the instructions." I wish science was that simple. The methods section only contains variables the authors think worth controlling, and in reality you never know, and the authors never know. Secondly, I wish people say: "I replicated the methods and got a solid negative result" instead of "I can't replicate this experiment". Because most of the t…

Don't forget to make sure that none of the people who will be near the area of the experiment live with and thereby smell like a cat.

Yeah I did an experiment with metabolism in relation to temperature with rodents in college. Our results were just absolute garbage for the most part. I think two of us owned cats, walk in temperature controlled fridge was incredibly loud and the light never turned off, and the fridge was on the opposite side of the building from the only lab with the correct equipment to run the experiment. Plus the enclosure for measuring VO2 was not very relaxing for the mice regardless.

Another group was doing a metabolism experiment with caffeine and rats. The only meaningful result they got was the half-life of caffeine. The rats were incredibly animated regardless of whether they had been dosed with caffeine or not, and they basically got garbage for results as well.

I'm an analyst now, and I've noticed biology is a second-class science in the eyes of a lot of hiring managers when it comes to analytics. Not everyone knows how to use data in bio, but if you are a data-type person, you get so much experience working with the worst data imaginable. The pure math types aren't that great at experimental design, and the physics and chem people tend to be able to control most of their variables pretty easily.

I'll admit that bio people tend to be a bit weaker in math, but almost every real-world analysis situation I've been in has been pretty straightforward mathematically. Most of the time is spent getting the data to the point where it can be used.

Re: Most scientists 'can't replicate studies by their peers'

#143
post #138
post #92

Earlier quoted context omitted.

We share all the results from our research, so people may inspect them in detail. We also share our methods in enough detail that if somebody was sufficiently motivated, they could reproduce the work by spending time and money however, If you follow your logic, you would prevent CERN from publishing the discovery of the Higgs Boson, because nobody else has a particle accelerator powerful enough to detect them. You wo…

Though I agree for the most part, isn't CERN using multiple teams on multiple detectors, even going so far as having multiple implementations of data analyses and such, just to make sure any result they find is never a product of one person or team making a mistake in their process?

CERN has multiple detectors (CMS and ATLAS are the two best-known) but they serve different purposes and are attached to the same system (LHC). Exacycle also did something similar (we ran multiple different protein folding codes on the same infrastructure).

You're addressing another issue: they built replicability into their scientific method (which is awesome) but it's still within a single logical entity (which happens to be distributed throughout the world).

LIGO went one better and injected fake events to make sure their analysis systems were working.

Re: Most scientists 'can't replicate studies by their peers'

#144
post #28

"all you have to do is read the methods section in the paper and follow the instructions." I wish science was that simple. The methods section only contains variables the authors think worth controlling, and in reality you never know, and the authors never know. Secondly, I wish people say: "I replicated the methods and got a solid negative result" instead of "I can't replicate this experiment". Because most of the t…

I would have thought that skinner boxes would be more sophisticated by now:

- sound proof/resistant, record audio levels. - be hermetically sealed, temperature controlled and opaque to outside.

Given something as complex as a living animal, why aren't they treated as controlled as a chemical might be?

Re: Most scientists 'can't replicate studies by their peers'

#145
post #98

Earlier quoted context omitted.

This sounds a reasonable answer. If you can't do science in that environment, then it's not scientific because you can't control all the variables.

The classic ideal of controlling a single variable at a time is nice but largely impossible. Especially in biological sciences but that's true even down in chemistry and physics the systems scientists are trying to control are complex and it's not always possible to modify one variable without affecting others.

How can you possibly draw any useful conclusions when your experiment's parameters are so fluid as to be uncontrollable?

Re: Most scientists 'can't replicate studies by their peers'

#146
post #133

Earlier quoted context omitted.

You can add to this that if you are in a facility with both rats and mice, you should never house them in the same room, and you should probably not enter a mouse room after being in a rat room. In the wild, rats are predators of mice.

But in the wild, there aren't separate rooms for predators and prey, either. If laboratory rodent experiments are so reliant on such synthetic conditions, what's the point?

The point is to isolate variables. If you want to see whether X might be causing Y, you can't just do X in random environment while A, B, C, D and Q is happening, and claim if you observe Y that was because of X. You have to isolate X and establish a link between environment with X producing Y and the same (to the extent possible) environment without X not producing Y. Then you can make a step (still not enough to be sure but at least to start suspecting) that X is causing Y. Of course, it could turn out that X is causing Y only when A is present but B is absent, and then your experiment will be a failure. Or maybe Y just randomly happens and you had back luck to land on it exactly when you did X. Nobody said it's always easy :)

Re: Most scientists 'can't replicate studies by their peers'

#147
Quote: "The issue of replication goes to the heart of the scientific process."

Indeed it does, but some fields don't think it's very important. For example, there's a surprisingly widespread attitude among psychologists that it's either a waste of time or an attack on the integrity of one's colleagues.

Example: http://jasonmitchell.fas.harvard.edu/Papers/Mitchell_failed_...

Author: Professor Jason Mitchell, Harvard University.

Quotes: "Recent hand-wringing over failed replications in social psychology is largely pointless, because unsuccessful experiments have no meaningful scientific value."

"The field of social psychology can be improved, but not by the publication of negative findings."

"Whether they mean to or not, authors and editors of failed replications are publicly impugning the scientific integrity of their colleagues."

"Because experiments can be undermined by a vast number of practical mistakes, the likeliest explanation for any failed replication will always be that the replicator bungled something along the way."

It seems not to have occurred to Professor Mitchell that the original study's result might also have resulted from someone bungling something along the way.

Re: Most scientists 'can't replicate studies by their peers'

#148
post #53

Earlier quoted context omitted.

I published in nature. The results were based on a computation that was so large, no other entity in the world could have reproduced it at the time (I work for Google, we built a system that used 600+Kcores continuously for years). I don't think ,at the time, that anybody other than Amazon or Microsoft could have run the same calculation as us. Should our publication have been prevented simply because nobody else had…

How can there be any other answer than "yes"? The point of science was that it's reproducible; you are saying that what you did was not; therefore, it wasn't science. What is the difference between your paper and an Uri Geller "experiment"? Both are extremely hard to duplicate for objective reasons so their results have to be accepted based on reputation. (Imagine someone trying to publish the same thing but using "S…

Actually, reproducibility is not considered a necessity in science. It is factually false to say that a person who carries out an experiment in good faith and shares their methods and results is not scientific- they just aren't satisfying a criterion which is a good thing to have.

It's pretty clear what's different between my paper and a Uri Geller experiment. If you can't see the difference, you're either being obstinate or ignorant. We certainly aren't banking on our reputation. A well-funded startup with enough cash could duplicate what we did on AWS GPUs now. I would be thrilled to review their paper.

Re: Most scientists 'can't replicate studies by their peers'

#149
post #111

Earlier quoted context omitted.

That is exactly how science works. Methods sections include just enough information to get a good sense of how the experiment was done, not enough information to replicate it exactly. Some disciplines are worse than others. People could also publish plain text data as supplementary material, but why do that when you can get away with a raster image of a plot...

At that point its actually not even science and shouldn't be funded

The way you get funded is by being able to do things that others can't do, or by being better at some technique than everyone else. Giving away all your hard won tricks by putting all of them in a methods section takes away your advantage come funding time.

Re: Most scientists 'can't replicate studies by their peers'

#150
post #141
post #133

Earlier quoted context omitted.

But in the wild, there aren't separate rooms for predators and prey, either. If laboratory rodent experiments are so reliant on such synthetic conditions, what's the point?

If some mice are housed near rats and others are not (or simply vary in how far they are from the nearest rat), that will introduce variation into your measurements. For experiments not specifically about mouse/rat interactions, this variation is irrelevant noise that makes it harder to detect or characterize the effects the experimenters actually care about.

That's not my point, though. Like, if you conduct physics experiments in a vacuum because interactions between objects and atmosphere isn't part of what you're studying, that's fine. If everyone in physics is conducting experiments that way, then suddenly you're left with the question of, it turns out that in real life I encounter atmosphere all the time, and how much can these experimental results tell me about the world I actually interact with? And if it turns out that all the preconditions to physics experiments can't be published because there are too many of them to list, and you're just expected to know these things, doesn't that throw the credibility of the whole enterprise into doubt? Controlling for variables is fine. But if you aren't comprehensively listing all the variables you're controlling for, if the very idea of doing so is considered a fool's errand, then are you even really doing science?
Post reply on HN