<transcript><audio_274>medicine chemical research cancer research and and so forth this is from just last last month to me this was really surprising computer science for me is as close as we can get perhaps to math in terms of you know</transcript><transcript><audio_275>algorithms and others but if we have a replication crisis in inability to reproduce and replicate things in computer science then we really have a big a big issue now i'm i keep track of what the hard sciences are</transcript><transcript><audio_276>doing and of course what's happening in the social sciences so there's a hidden slide about social sciences but i just want to summarize what we know when we know very very little we don't really know what's going on because we haven't done replications but now that we started doing</transcript><caption><image_277>The image is a screenshot of a presentation slide with a title that reads "Initial-replication evidence: Hard "Exact" sciences". Below the title, there is a summary of the results of the presentation. The summary is divided into three sections.

The first section is titled "Summary: Gene Candidate-Gene Associations (2011)". It states that we don't really know, but what we do not know doesn't look good. The second section is "Preliminary cancer research (2012) (1.2%)". The third section is labeled "Microarray gene expression analysis (2009)". The fourth section has "Oncology & cardiovascular medicine (2011)" and "RP-Cancer Biology (mixed results) 18 of 50 possible, 9 of 14 so far". The fifth section has a list of results, including "Neuroscience" and "9 of 46 (19%)".

On the right side of the slide, there are two images of a man in a suit and tie. The man appears to be giving a presentation on the topic. The background is white and the text is black.</caption><transcript><audio_278>applications we realized we're in real trouble so these initial applications were actually not by academics they were done by commercial companies that we're trying to understand is academia reliable or not you can see that their conclusion was that it's not</transcript><transcript><audio_279>um some people pushed back on this and all sorts of reasons for this so this one over here cancer biology has been running for a while they wanted to do 50 replications but out of those only 18 um seem to be um</transcript> medicine chemical research cancer research and and so forth this is from just last last month to me this was really surprising computer science for me is as close as we can get perhaps to math in terms of you know algorithms and others but if we have a replication crisis in inability to reproduce and replicate things in computer science then we really have a big a big issue now i'm i keep track of what the hard sciences are doing and of course what's happening in the social sciences so there's a hidden slide about social sciences but i just want to summarize what we know when we know very very little we don't really know what's going on because we haven't done replications but now that we started doing applications we realized we're in real trouble so these initial applications were actually not by academics they were done by commercial companies that we're trying to understand is academia reliable or not you can see that their conclusion was that it's not um some people pushed back on this and all sorts of reasons for this so this one over here cancer biology has been running for a while they wanted to do 50 replications but out of those only 18 um seem to be um
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