Uri Simonson

Yeah, we thought it was very bad.

There's a few approaches. Some of them that we've done, like, just do statistics and say, this is statistically impossible. The other is you see associations in the data or lack associations of the data that they're not mathematical properties, but just anybody looking at data who's familiar with that would realize this is not right.

There's a few approaches. Some of them that we've done, like, just do statistics and say, this is statistically impossible. The other is you see associations in the data or lack associations of the data that they're not mathematical properties, but just anybody looking at data who's familiar with that would realize this is not right.

There's a few approaches. Some of them that we've done, like, just do statistics and say, this is statistically impossible. The other is you see associations in the data or lack associations of the data that they're not mathematical properties, but just anybody looking at data who's familiar with that would realize this is not right.

Imagine that you have data on weight and height and you correlate it and you find zero correlation. That cannot be right. People who are bigger are heavier. And so if you found zero correlation or a negative correlation, you think maybe these are not real weight measures. Another one is you see rounding or precision that is suspicious.

Imagine that you have data on weight and height and you correlate it and you find zero correlation. That cannot be right. People who are bigger are heavier. And so if you found zero correlation or a negative correlation, you think maybe these are not real weight measures. Another one is you see rounding or precision that is suspicious.

Imagine that you have data on weight and height and you correlate it and you find zero correlation. That cannot be right. People who are bigger are heavier. And so if you found zero correlation or a negative correlation, you think maybe these are not real weight measures. Another one is you see rounding or precision that is suspicious.

You see rounded values where there shouldn't be any rounding or absence of rounding where there should be. So for example, in one case that we worked on, there was data of supposedly when people were asked, how much will you pay for this T-shirt? And the very curious thing is there was no rounding. People were equally likely to say $7, $8, or $10.

You see rounded values where there shouldn't be any rounding or absence of rounding where there should be. So for example, in one case that we worked on, there was data of supposedly when people were asked, how much will you pay for this T-shirt? And the very curious thing is there was no rounding. People were equally likely to say $7, $8, or $10.

You see rounded values where there shouldn't be any rounding or absence of rounding where there should be. So for example, in one case that we worked on, there was data of supposedly when people were asked, how much will you pay for this T-shirt? And the very curious thing is there was no rounding. People were equally likely to say $7, $8, or $10.

But if you've ever collected data like that, you know that people round. People say 10 or 20. They don't say 17.

But if you've ever collected data like that, you know that people round. People say 10 or 20. They don't say 17.

But if you've ever collected data like that, you know that people round. People say 10 or 20. They don't say 17.

I asked Uri Simonson. I would estimate the share of fraud in the order of, say, 5% of articles.

I asked Uri Simonson. I would estimate the share of fraud in the order of, say, 5% of articles.

I asked Uri Simonson. I would estimate the share of fraud in the order of, say, 5% of articles.

Sometimes I will, but if I come across fraud there, I will ignore it because the cost is so high of pursuing a case of fraud. that it's just not worth it. If it's a paper that has seven citations after three years and it's published in a journal that nobody knows, I just let it be. And I'm sure a lot of people do that too.

Sometimes I will, but if I come across fraud there, I will ignore it because the cost is so high of pursuing a case of fraud. that it's just not worth it. If it's a paper that has seven citations after three years and it's published in a journal that nobody knows, I just let it be. And I'm sure a lot of people do that too.

Sometimes I will, but if I come across fraud there, I will ignore it because the cost is so high of pursuing a case of fraud. that it's just not worth it. If it's a paper that has seven citations after three years and it's published in a journal that nobody knows, I just let it be. And I'm sure a lot of people do that too.

So I would say I have, on the falsity of the findings, I don't have reasonable doubt.