A hidden crisis
Literally, quintillions1 of animals are suffering and dying right now in the wild, due to disease, hunger, thirst, excessive heat or cold, and other factors. Yet, most people—including those who express concern for animals—fail to give importance to this issue. Why?
In this article, we explore the cognitive biases2 that lead us to ignore one of the world’s largest sources of suffering and death.3 Understanding these biases can help us think more clearly about our moral responsibilities.
The magnitude of the problem
When we think of animal suffering, we often picture factory farms or labs that test on animals. These are indeed serious problems. But the number of wild animals is vastly larger, estimated between 1 and 10 quintillion at any given time.4
To understand this, consider the following analogy:
If we compressed the total number of animals exploited by humans and the total number of wild animals into a one-year timeline, the animals used by humans would represent just 14 seconds. Wild animals would represent the remaining 364 days, 23 hours, 59 minutes, and 46 seconds.1
The vast majority of wild animals suffer daily due to natural causes. Despite its immense scale, this issue receives very little attention. Even among animal advocates and animal ethicists, the problem remains largely ignored. This doesn’t seem logical when looking at the figures. Below, we will explore several biases that can cause this.
Status quo bias: Resistance to changing beliefs
Our minds are naturally resistant to change, whether in habits or beliefs. This is known as status quo bias. Several related patterns reinforce this:
* Bandwagon effect: we tend to believe what those around us believe
* System justification bias: we defend current systems and norms
* Conservatism bias: we hesitate to update our beliefs, even with new evidence
Key question: If everyone around you focused only on animal exploitation, how likely would you be to think about the suffering o
Hey Ula, great question! This year we conducted an influenced-giving analysis to assess ACE’s counterfactual impact on funding via our Charity Evaluations and Movement Grants programs. We aim to publish the full reports on November 29th.
During our last fiscal year (April 2023-March 2024) the total reported ACE-influenced donations to the charities recommended during that time was $8.5 million, and we estimate that $3.7 million of this would not have been donated if not for ACE’s influence. The upcoming report will thoroughly explain how this was calculated.
Our charity recommendations last for two years. We don’t guarantee that any charity is re-evaluated or re-recommended, so charities know to prepare for that when their two-year recommendation cycle ends. For some charities, being recommended by ACE might be their first introduction to certain donors. Anecdotally we’ve also found that some donors choose to continue donating to formerly recommended charities.
We expect that being recommended for the first time, leads to a greater increase in funding than retaining a recommendation. The same seems likely for a recommendation for a newer intervention or animal group, or for a younger charity compared to the budget impact of a recommendation for a well-known charity. According to a recent survey, ACE’s annual influence per charity has varied anywhere from about $150,000 to $1,000,000+. Some of those gifts might not be fully counterfactual (this will also be further explained in the report coming out next week). Assessing budget impact and change in recommendation status is something we need to examine further though, so we’ll be expanding our impact assessment work this year to include more than just our quantitative counterfactual impact on funding.
Considering each of our Recommended Charities have significant room for more funding, we suggest donating to our Recommended Charity Fund because these gifts are currently being matched. Donations will help all 11 of our Recommended Charities that we estimate will have an exceptional impact for animals with additional donations.
— Elisabeth