The method that can “prove” almost anything: A TED-Ed Lesson
I recently worked as an educator on a TED-Ed lesson about p-values and p-hacking. I’m mostly posting it here to highlight that this format could be available to other people in the EA community, though the lesson may also be of interest.
If you are a subject matter expert in something, you can nominate yourself to become an educator here: https://ed.ted.com/get_involved, providing a short description and possible title of the lesson you might want to write. You shouldn’t feel uncomfortable about nominating yourself: this is a common way for people to become educators.
If they are interested in taking your idea on and you write a draft, be aware that there will be a fair amount of collaborative editing which will take some time.
TED-Ed videos tend to get 100s of thousands or millions of views, so this could be a potentially very high impact outreach opportunity for the right content.
Disclosure: my wife works at TED-Ed and I worked with her on this lesson. It went through all the normal editorial processes, however.
If anyone wants to submit an idea to TED, and you want someone to look over your bio/idea beforehand, I’d be glad to do so — just follow the procedure here. I can’t guarantee I’ll have time (CEA is on retreat next week), but I’ll help if I can and let you know if I can’t.
You can also post something here, and I’ll write an edited version as a comment (if I have time), if you don’t mind it being public / might want feedback from other folks.
I’d also be happy to have a look at anyone’s ideas etc and have a decent idea (I think) of what TED-Ed might like. Just send me a message if I might be helpful.
Really enjoyed this video, explained the concept really well (as you’d expect with TED) - great work!
Am I right that in the final part of the video when you reference the wider issues in science right now, this relates in part to the replication crisis, and maybe the idea of meta-science that I’ve seen floating around? Definitely want to read into this more, seems like a really interesting field/ movement.
Glad that you enjoyed it.
You are right on both counts. This is quite an easy overview of meta-research if you want a starting point: https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.2005468