Hiya! I work on data stuff at CEA. I used to be the content lead on the EA Global team at CEA, and before that I did economic consulting. Here's an old website I might update at some point.
Think I'm making a mistake? Want to give me feedback? Here's my admonymous.
By the way, very tiny bug report: The datestamps are rendering a bit weird? I see the correct date stamp for today under the date select, but the description text in italics is rendering as 'Yesterday', and the 'data-tip' value in the HTML is wrong.
Obviously not a big deal, just passing it on :) I'm currently in PST time, where it is 9:39am on 2023.07.25, if it matters. (Let me know if you'd prefer to receive bug reports somewhere else?)
I really love this <3
Compared to more public prediction platforms (e.g. Manifold), I think the biggest value adds for me are: (a) being ridiculously easy to set up + use, and (b) being able to make private predictions.
On (b), I saw the privacy policy is currently a canned template. I'm curious if you could say more on:
:) I'm a really big fan of Sage's work, thank you so much!
Thanks, I’m glad you like the dashboard and are finding it a productive way to engage with our work! That's great feedback for us :) As a quick aside, we actually launched this in late December during our end of year updates, this version just includes some fresh data + a few new metrics.
I’m not sure if all our program owners will have the capacity to address all of your program-specific thoughts, but I wanted to provide some high level context on the metrics we included for now.
When selecting metrics to present, we had to make trade offs in terms of:
So as a general note, while we generally try to present metrics that meet many of the above criteria, not all of these are numbers we are trying to blindly make go up over time. My colleague Ollie’s comment gives an example of how the metrics presented here (e.g. # total connections, LTR) are contextualized and supplemented with other evidence when we evaluate how our programs are performing.
Also thanks for your feature requests / really detailed feedback. This is a WIP project not (yet) intended to be comprehensive, so we’ll keep a note of these suggestions for if and when we make the next round of updates!
Thanks for engaging with this!
To chime in with a quick data note: "hours of engagement on the Forum" also includes time spent not viewing posts (e.g. time spent viewing events, local groups, and other non-post content on the Forum), so comparing those two numbers will give you a slightly misleading picture of the Community v. non-Community engagement breakdown.
The Forum saw a total of 39,965 hours of engagement with Community posts up until the end of Q2 in 2023, so the actual ratio between Community:non-Community post engagement is more like 2:3. I'll edit the top level post to make this clear (thanks for the nudge).
I can only imagine how bad this ratio was before the redesign if it's still worse than 1:1
FYI, the dashboard we published has this metric broken out over time, so you don't have to imagine this! :) (I don't work on the Online team, but I built this dashboard.)
Yeah, fair! It's frustratingly hard to get comprehensive lists of EA orgs (it's hard to be in the business of gatekeeping what 'EA-affiliated' is). I did a 5 min search for the best publicly available list and then gave up; sometimes I use the list of organizations with representatives at the last EAG for this use case.
Maybe within AI specifically, someone could repeat this exercise with something like this list. If someone knows of a better public list of EA orgs, I'd love to know about it :)
Here is my babble from the above exercise:
A reminder that I spent only 10 minutes on this, I have no special inside knowledge / am not affiliated with any of these orgs, and my main goal was to check if there is any low hanging fruit for consolidation! I'm not sure how good either of the above ideas are.
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Some observations:
Thanks so much! :) FYI that the top level helper text seems fixed:
But the prediction-level helper text is still not locale aware:
(Again, not a big deal at all :) )