I also spent a cursed day looking into the literature for NONS. I was going to try and brush this up into a post, but I'm probably not going to do that after all. Here are my scrappy notes if anyone cares to read them.
You're citing the same main two studies on Enovid that I found (Phase 3 lancet or "Paper 1", Phase 2 UK trial or "Paper 2"), so in case it's helpful, here are my notes under "Some concerns you might have" re: the Lancet paper:
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Note the evidence base on explicitly prophylactic use of NONS is not very good. Here's the only study I could find (after maybe an hour of searching), and it's a retrospective epidemiological case study (i.e. not randomly assigned), again by the manufacturers.
They're running a Phase 3 prophylactic RCT right now, which in theory is supposed to wrap up this month, but who knows when we'll see the results.
For example: let’s say you want to know the impact of daily jogs on happiness. You randomly instruct 80 people to either jog daily or to simply continue their regular routine. As a per protocol analyst, you drop the many treated people who did not go jogging. You keep the whole control group because it wasn’t as hard for them to follow instructions.
I didn't realize this was a common practice, that does seem pretty bad!
Do you have a sense of how commonplace this is?
What’s depressing is that there is a known fix for this: intent-to-treat analysis. It looks at effects based on the original assignment, regardless of whether someone complied or not.
In my econometrics classes, we would have been instructed to take an instrumental variables approach, where "assignment to treatment group" is an instrument for "does the treatment", and then you can use a two stage least squares regression to estimate the effect of treatment on outcome. (My mind is blurry on the details.)
IIUC this sounds similar to intent-to-treat analysis, except allowing you to back out the effect of actually doing the treatment, which is presumably what you care about in most cases.
I have built three or four traditional-style lumenators, as described in Eliezer and Raemon’s posts. There’s a significant startup cost — my last one cost $500 for the materials (with $300 of that being the bulbs), and the assembly always takes me several hours and is rife with frustration — but given that they last for years, it’s worth it to me.
Reading this post inspired me to figure out how to set up a lumenator in my room, so thank you for writing it! :)
I just set mine up and FWIW I got 62,400 lumens for $87 ($3.35 / bulb if you buy 26, 2600 lumens, 85 CRI, 5000k, non-dimmable). These aren't dimmable, but are over half the price of the 83 CRI Great Eagle bulbs you mentioned (which are $6.98 / bulb right now).
My full set up cost $212.
June 2023 cheap-ish lumenator DIY instructions (USA)
I set up a lumenator! I liked the products I used, and did ~3 hours of research, so am sharing the set-up here. Here are some other posts about lumenators.
LW bug(?) report: All of the inline footnotes are pointing to the Cold Takes references, even though the backref links in the Notes section are pointing to the LW post (screenshot of what I see on hover). Same issue with the alignment forum post. I'm wondering if there's any way to fix that?
Here's a Share-a-cart link to grab all of the 6 basic pills + pill organizer on Amazon for ~$57. (Click on the link, click "Send all to cart", and then "Add to cart" at the bottom).
I did very minimal research for this and mostly just clicked on the first fine-seeming product per item on the list, and did not check whether things were vegan, the best possible product in each category, etc. Commenting mostly to encourage people to use services like Share-a-cart when publishing shopping lists to make it super easy for people to buy things you recommend.
Thanks, I found this interesting! I remember reading that piece by Froolow but I didn't realize the refactoring was such a big part of it (and that the GiveWell CEA was formatted in such a dense way, wow).
This resonates a lot with my experience auditing sprawling, messy Excel models back in my last job (my god are there so many shitty Excel models in the world writ large).
FWIW if I were building a model this complex, I'd personally pop it into Squiggle / Squigglehub — if only because at that point, properly multiplying probabilities together and keeping track of my confidence interval starts to really matter to me :)