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
That’s a great question and one that we spent a lot of time considering in this year’s round of evaluations. We aimed to use SADs in all cost-effectiveness analyses and attempted to find a way to quantify each charity’s impact using the SADs unit. We have found that for more indirect work, such as GFF’s programs, quantifying the number of animals affected is largely speculative and requires a number of assumptions. For these cases, we decided to not make the assumptions needed to estimate the SADs averted but to stop at an intermediate unit in the analysis... (read more)