So we have the Open Access movement. >> Yeah. >> Making information available to people without them having to pay for it. >> That's very important as well. Yeah. >> We have the pre-registration. >> That's a good one. >> It helps- >> Yeah. >> Against publication bias and file drawer problems. >> Yep. >> Especially if you accept a paper before you've seen the outcome. >> Yep. >> And there maybe even more. I mean there's- >> Data recording? >> Data recording, make, make sure that you have the data making, releasing the data, as far as that is possible. If there's privacy issues related to respondents you probably can't but, normally you can, and, and there's efforts there in the medical science as well from which we can learn, because there's the, the pharmaceutical industry. Does all these trials. Try to, get approval for their new medicine, their new drug, but there may be problems with it. The results may not as be as nice, or there may be other things, there may be side effects. And nowadays you, this is part of some legal things, hassles between publishers on the one hand and, and the federal government in the US. And the pharmaceutical industry on the other hand, in which they subpoenaed data from very large trials, and found out a lot of side effects that would've been hidden, if the data had not been found. So nowadays, we see the benefits, and in medical sciences, it's a matter of life and death. And in social science, it's a matter of good science. In building, trying to grasp these social scientific topics, which are very complex, very difficult, in which we try to build theories. And if we only present the good results, we don't really builds. [CROSSTALK]. >> We're never going to get there. >> We don't, we don't know. And if you, we all let people just do, go around their business with the data, then, and we reward them for it. Yeah, of course then people like Stapel will appear, reappear >> Yep. >> So you need to higher chances of, of problems and scientific aspects, either be fraud or several of these biases in, in the system. We need to deal with those. And I think we were getting there but it's, it's fairly slow but in the end, I hope that if I retire, that it will be much better than it is today. >> That sounds like a, a positive note to end on. >> Yeah. Jelte, thank you very much. I really appreciate it that you took the time to come here. >> Yeah. Thank you [CROSSTALK] Thanks for having me and good luck all. >> Thank you. [LAUGH]