[Question] Does GiveWell still plan to model the uncertainty of their cost-effectiveness estimates?

In December 2022, GiveWell announced the results of its “Change Our Mind Contest”. GiveWell awarded joint first place and a $20,000 prize to Noah Haber for “GiveWell’s Uncertainty Problem”. According to GiveWell:

The author argues that without properly accounting for uncertainty, GiveWell is likely to allocate its portfolio of funding suboptimally, and proposes methods for addressing uncertainty.

One of the honorable mention awards was also a critique of GiveWell’s approach to uncertainty.

Both essays recommended using Monte Carlo simulation to properly model uncertainty in cost-effectiveness.

In December 2023, GiveWell published “How We Plan to Approach Uncertainty in Our Cost-Effectiveness Models”, in which they explained their next steps:

Going forward, we plan to: Incorporate sensitivity analysis in published models. We’ve begun this process by incorporating basic sensitivity analysis on key parameters in recent grant and intervention report pages (e.g., zinc/​ORS; vitamin A supplementation; MiracleFeet). We’re currently revamping our top charity CEAs to make them more legible, and we plan to incorporate sensitivity analysis and Monte Carlos into these before publishing.

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In the three linked pages, GiveWell has conducted a so-called one-at-a-time sensitivity analysis, an approach which as GiveWell acknowledges is unable to quantify the overall uncertainty in cost-effectiveness.

After the contest winners were announced in December 2022, GiveWell has as far as I can tell made the following grants (source):

January 2023 to June 2024January 2024 to June 2024
To top charities$295 M$89 M
To organisations other than top charities$143 M$31 M

I cannot find on GiveWell’s website any investigation where the full uncertainty (from all parameters) is modelled. Has GiveWell published such a thing? If not, do they still plan to?