Rethink Priorities's repositories
squigglepy
Squiggle programming language for intuitive probabilistic estimation features in Python
fundraising_forecast
Monte Carlo simulation of expected fundraising by donor, using distributions
methodology-statistics-design
Surveys, experiments, data analysis: Methodology, protocols and templates
public_moral_weight_and_sentience
Public version of Rethink Priorities' Moral Weight Project welfare range and sentience estimates
survey_dud_detector
Apply methods to detect bad responses in surveys
surveyweights
Apply Census weighting to survey data
moral-parliament
Public version of moral parliament project.
rp_2020_benchmarking_poll
RP 2020 Benchmarking poll and analysis
bookdown-template
The bookdown template used by the survey team of Rethink Priorities.
how-to-visualize
A collection of examples, color schemes, best practices, and tips related to data visualization.
public_risk_model
Public version of the Worldview Investigations Team's risk aversion modeling
Distributr-application
Distributr is a Shiny application that facilitates exploration of distributions
ballot_initiatives_scraper
Scraper for animal-related ballot initiatives
ea_data_public
Reports on EA Survey and more, to be made public and host html/bookdown from Rmd work. No data will be shared here, for now at least.
eu_cage_free_model
Predict when EU will nationally ban cages
farmfish_stunning_cea
Code to support prospective cost-effectiveness analysis of farmed finfish stunning intervention in Europe.
future-assessment-model
Quantifying x-risk
quantifying_shrimp_pain
Methods and files supplemental to our report 'Quantifying and prioritizing shrimp welfare threats'.
r-noodling-package
package of commands for dynamically working with data, not producing output
rp-r-package
Rethink Priorities R package
shrimp_mortality
Methods and files supplemental to our report on Pre-slaughter Mortality in Farmed Shrimp
updated_moral_weights
The updated version of Rethink Priorities' Moral Weight Project. We use a refined list of welfare-relevant proxies and make distributional assumptions regarding species' probabilities of sentience, rather than using proxy lists.