<caption><image_332>The image is a screenshot from a video interview. It shows a bald man sitting in a chair and speaking to another man. The man is wearing a striped polo shirt and appears to be in his late 40s or early 50s. He has a serious expression on his face and is gesturing with his hands as he speaks. The background is a beige wall with a plant in a pot on the left side of the image.</caption><transcript><audio_333>hypothesis test it's something that you discovered by looking at your data it was driven by your data and you wouldn't have tested that new hypothesis had you not already explored your data so that's the source of inspiration for the next study the one that tests that hypothesis</transcript><transcript><audio_334>directly that's planned to test it the first time i pre-registered a study it was really a shock to me how many decisions we actually make after the fact and we don't really think about that because as we're making decisions about how to</transcript><transcript><audio_335>analyze our data or when to stop data collection all of those decisions are completely rational and justifiable there's nothing wrong with any of those decisions and once we know the data it's easy to say why this is a completely appropriate way to do this or this is a completely appropriate way</transcript><transcript><audio_336>to test the same hypothesis but they're also completely flexible and what that means is that if you're trying to test your hypothesis and there are 10 different ways that you could test the same question and you make a decision about which of those tend to do</transcript> hypothesis test it's something that you discovered by looking at your data it was driven by your data and you wouldn't have tested that new hypothesis had you not already explored your data so that's the source of inspiration for the next study the one that tests that hypothesis directly that's planned to test it the first time i pre-registered a study it was really a shock to me how many decisions we actually make after the fact and we don't really think about that because as we're making decisions about how to analyze our data or when to stop data collection all of those decisions are completely rational and justifiable there's nothing wrong with any of those decisions and once we know the data it's easy to say why this is a completely appropriate way to do this or this is a completely appropriate way to test the same hypothesis but they're also completely flexible and what that means is that if you're trying to test your hypothesis and there are 10 different ways that you could test the same question and you make a decision about which of those tend to do
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