Cool!

Though I found it a bit confusing to assume that the full price of the stunner is absorbed into the price, given SWP donate the stunners. 

I don't have any insights into the technical trade offs here. However, generalising across lots of similar questions, the best advice is typically to do what you will enjoy and thrive in better, rather than trying to figure out which theoretically you better for a job. That's because doing well and remaining excited, passionate and enthusiastic about the field is typically more important than minor differences in qualifications.

The Guardian is hiring a farmed animal reporter: https://www.linkedin.com/jobs/view/4444587806/

I suspect that this is directly resulting from the $1m of Coefficient funding that the Guardian recently received for FAW journalism. Seem likely they would be therefore be open to EA-aligned applications. Could be a great opportunity to have more aligned FAW journalism. In particular, having someone within the community in the role could be really helpful as a route for existing orgs to get coverage on their work!

Awesome; I'm really glad someone has done this properly! I'm going to add a signpost here to my post.

I am normally a bit distrustful of any cause areas or charities that claim it is too difficult to quantify impact or calculate cost-effectiveness. 

Phrases like "the work is complex" or "data is difficult to collect" are kinda red flags to me, not because they are untrue, but because:

• they are also true of a huge number of charities and cause areas for which EAs are able to make estimates. (These estimates might be super uncertain, and have big error bars, but they are better than nothing).
• And because, I suspect, the actual cost-effectiveness is often likely very low, even a highly uncertain CEA would point to that, and thus excuses like "it's too complex" are used to avoid having to confront that.

I am instantly more trustful of any charity or cause area that attempts to estimate their cost-effectiveness, especially if they have strong reasoning transparency and highlight their key uncertainties and suspected error bars.

• AIM / Charity Entrepreneurship, for example, estimates cost-effectiveness for advocacy ideas - these are extremely hard to do accurately and have massive uncertainties. They are also very much reliant on others and it is impossible to specifically isolate the charity's impact - nonetheless, they provide a transparent, good-faith estimate. (e.g.)

I didn't suspect while reading the post that it drafted heavily with AI. 

On reflection, and having now seen this comment, the writing style does feel a bit different than your other writing that I've read, in some fairly thematically AI ways - shorter paragraphs, punchier prose, bolded bullets, etc. I don't know if it is better or worse - it was very easy to scan and understand quickly, but I do wonder if some of your usual precision or nuance is missing. (Though this is probably more to do with being an early stage draft rather than being AI-assisted).

Thanks, you're right - updated.

Thanks Andreas! I've edited the post to include an additional analysis using this info.

Thanks! I've edited the post to include an additional analysis using this data point.

Thanks Jason! I've edited the post to include an additional analysis using this data point.