Pivotal questions database (Public)

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Pivotal questions for pilot
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How do plant-based products substitute for animal products (welfare footprint)?
What are the effects of increasing the availability of animal-free foods on animal product consumption? Are alternatives to animal products actually used to replace animal products, and especially those that involve the most suffering? Which plant-based offerings are being used as substitutes versus complements for animal products and why?
Impact of price, quality, and availability of plant-based meat products on animal product consumption, measured in animal welfare footprint terms. Differentiate by product.
Ultimately, this may involve estimating whole demand systems and production functions (Informing their “What are the economics of the animal protein and plant-based alternatives markets?” question)
80%
(DR): Funding for plant-based product innovation. Advocacy for labeling/shelving. Marketing.
DALY/WELLBY interconvertibility
Wellbeing measures/how to convert between DALY and WELLBY welfare measurements on assessing charities and interventions.
Currently ~treat standard deviation units across different mental health measures as equivalent to WELLBY-SDs. Is this justifiable?
Given this, the choice of DALY and WELLBY substantially affects some important cost-effectiveness estimates/comparisons.
WIP (see Gdoc)
How does a 1 SD change in WELLBY compare to a 1 SD change in DALYs in terms of ‘ways we can judge welfare’ (person tradeoff surveys, time-tradeoff surveys, revealed preferences, direct measurements of mental health, etc)?
When we start from a middle/median value?
75%
Measuring Well-being/WELLBY reliability
Is WELLBY the most appropriate (useful, reliable...) measure? What is the best (e.g. evidence-backed, generally useful) way to measure mental health and SWB improvements?
WIP (see Gdoc for updates)
[WELLBY USEFUL] Is the WELLBY a useful and reliable measure (for decisionmaking in ‘this context’, e.g., FP project, life/income tradeoffs, mental health interventions)?
[WELLBY RELIABILITY COMPARISON] How reliable is the WELLBY measure of well-being/mental health relative to other available measures in the ‘wellbeing space’ (including transformations of the 0-10 life satisfaction scale)?
75%
Cell-cultured meat cost and price
What is cell-cultured meat likely to cost, by year, as a function of the level of investments made? ~[Internal proposal]
68%
Effects of improving welfare standards on attitudes towards animal welfare/factory farming/legislation?
Does promoting welfare reforms increase the comfort with, and consumption of, animal products (complacency effect)? [And will welfare reform lead to greater or lower support for further reform?]
Does
passage of a typical animal welfare reform (e.g., cage-free legislation)
Actual higher welfare standards for animal products
67%
Should they include these LT effects in their model? How large could this effect be?
In Ovo Sexing
Re: in ovo chick sexing: How can we quantify the trade-off when we advance technologies that both have first-order welfare-improving effects, and increase profits?
66%
Bacterial lameness vaccine (chickens)
Re: Anti-lameness vaccines for chickens: How can we quantity the trade-off when we advance technologies that both have first-order welfare-improving effects, and increase profits?
First take: (to what extent) will promoting a bacterial vaccine to prevent chicken lameness reduce the cost of broiler chicken production leading to an increase in the number of farmed broiler chickens? Will this lead to a net gain or loss of animal welfare, considering the trade-off between reduced suffering of chickens and potentially increased production?
66%
International agreements and crises
How often do countries honor their (international) agreements in the event of large catastrophes (and what determines this?)
Most feasible question (literature and data wise): “Do international ~environmental treaties have an impact on environmental outcomes, and if so to what extent [% of goal achieved or prob. of compliance]?”
Reframe: [A] How much more likely ... is it for two countries [B] to cooperate [C] in the event of a large catastrophe or crisis [D] if they’ve signed an international agreement in advance?
A. ‘More likely’ : in percentages, percentage points, or otherwise
65%
FJ: Imagine country A and country B having an agreement that they would send each other food if a large catastrophe happens. However, when a large catastrophe happens it would be much easier for them to just not send the food to the other country and keep it for themselves. What are the factors that influence that countries adhere to the agreements that they made before the catastrophe happens? FJ: Motivating examples – Australia exporting food in a Nuclear Winter etc disaster; Covid vaccine sharing
(Long-term) effects of improving welfare standards on the consumption of animal products?
What are the (long-term) effects of improving welfare standards on the consumption of animal products?
What is the long-term impact of a typical [cage free eggs, better chicken or Euro chicken] commitment on
the consumption of the affected animal product itself? [measure: revenue, quantity, or welfare footprint?]
the total welfare footprint of animal product consumption in the affected country/region (on an annual basis)
65%
Should they include these LT effects in their model? How large could this effect be?
Does inequality increase civil war/unrest in the event of an environmental shock?
Does (increases in) income (or consumption or wealth) inequality make it more likely that an environmental shock will lead to a major crisis?
Does (increases in) income (or consumption or wealth) inequality make it more likely that an environmental shock will lead to a civil war or civil unrest?
What is the proportional relationship between the level of inequality (Gini coefficient?) and the magnitude of civil unrest [how to measure? Alt: 0/1 civil war outcome] in the event of a ‘large environmental shock’.
... between the recency-weighted proportional change in inequality over the last X years and ...
65%
Cell-cultured meat consumer acceptance
How probable is it that cell-cultured meat will gain widespread consumer acceptance, and to what timescale? To what extent will consumers replace conventional meat with cell-cultured meat?
Cell-cultured meat consumer acceptance. What will be the demand for cell-cultured meat (by category) as a function of price and other features?
62%
Democracy and disaster/GCR resilience
How important is democracy for resilience against global catastrophic risk?
By how much (proportional model) does a country being a democracy cause a lower (or higher) loss of life (alt: another measure of total damage) in the event of a disaster of the magnitude of a 7+ earthquake? Hypothetical manipulation: make a country a democracy, 20 years later there is a disaster chosen from the random pool of disasters of 7+ or more. ...
“If a country were moved to have 1 SD higher level of democracy (as measured in XXX index) how many SD units lower (or higher) would be the loss of life in the event of randomly chosen disaster of the magnitude of a 7+ earthquake?”
60%
Whether philanthropists should support progressive candidates/policies in a country, and maybe international redistribution and global dev.
Government spending and authoritarianism
Do public spending cuts increase support for authoritarian policies?
What is the functional relationship between a democratic government’s level of per-capita spending over time and the extent to which it is democratic or authoritarian (choose the best ’)?
Simplified, for phrasing and prediction, something like:
If a government (is randomly assigned to) reduce(s) its spending in real terms by (choose something 1 SD) over a five-year period, by how many standard deviations will its democracy index fall (or rise), on average?
60%
I think Florian/OP care both:
About promoting democracy to directly improve well-being
Because democracies may be less likely to drive GCRs (and handle them better) and X-risk
(Rough) GBD and IHME modeling assumptions sensitivity
How robust are of IHME and Global Burden of Disease models to opinionated assumptions?
Discussion: The credibility of IHME (https://www.healthdata.org/) and Global Burden of Disease models… lots of modeling decisions underly this
How sensitive are DALY/$ etc to the assumptions made in these models?
How to fill in the gaps, trends over the years
60%
Does corporate AW outreach generalize to the Global South?
How generalizable is evidence on the effectiveness of corporate outreach [in the North] to the Global South?
Operationalization issues
How to measure or frame heterogeneity in a meaningful way?
Focus on specific findings and consider evidence for heterogeneity, (subjective) beliefs about minimum effect size in Global South?
58%
May change their evaluation of orgs operating in those countries DR: Inform expansion to, as well as benefit of running studies there
Electronic claims management in LMICs
“How much could switching to electronic claims management could save … that could be lost to fraud and waste?”
55%
Viability of Seaweed markets
Why don’t people eat more seaweed?
Work on something like
“How responsive is the production and demand for seaweed to subsidies?” (look towards the nature of the production function, inframarginal demand)
How much in global annual subsidies would be needed for edible seaweed production to rise to [some desired level]
50%
Seaweed is a nuclear disaster resilient food.
If we can get people to start doing it now the expertise and facilities will be there when we need them.
Will the US government use subjective forecasting?
How much will the US government use subjective forecasting approaches (in the way the DoD does) in the next ~50 years?
45%
Does history transfer
How transferable are insights from history to today?
Rough attempts
“Is there a ‘structural break’ or a ‘break in the functional and predictive relationships with industrialization’” ?
A specific example like ... “did the relationship between economic inequality and civil unrest change more than X% over … years”
40%
“Is there a ‘structural break’ or a ‘break in the functional and predictive relationships with industrialization’” ?… if this were the case quantitative history would be more valuable. We can use the deep past to predict human behavior now, much larger data set.
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