Against empathy: the case for rational compassion
New York, NY, 2016
Abstract
“We often think of our capacity to experience the suffering of others as the ultimate source of goodness. Many of our wisest policy-makers, activists, scientists, and philosophers agree that the only problem with empathy is that we don’t have enough of it. Nothing could be farther from the truth, argues Yale researcher Paul Bloom. In Against Empathy, Bloom reveals empathy to be one of the leading motivators of inequality and immorality in society. Far from helping us to improve the lives of others, empathy is a capricious and irrational emotion that appeals to our narrow prejudices. It muddles our judgment and, ironically, often leads to cruelty. We are at our best when we are smart enough not to rely on it, but to draw instead upon a more distanced compassion. Basing his argument on groundbreaking scientific findings, Bloom makes the case that some of the worst decisions made by individuals and nations–whom to give money to, when to go to war, how to respond to climate change, and whom to imprison–are too often motivated by honest, yet misplaced, emotions. With precision and wit, he demonstrates how empathy distorts our judgment in every aspect of our lives, from philanthropy and charity to the justice system and from medical care and education to parenting and marriage. Without empathy, Bloom insists, our decisions would be clearer, fairer, and–yes–ultimately more moral.”–Jacket
Quotes from this work
Don’t try to establish equality and justice by raising others up to the level of those you love. Don’t try to make them more weighty. Rather, make yourself less weighty. Bring everyone to the same level by diminishing yourself. Put yourself, and those you love, on the level of strangers.
We see this sort of advice spelled out by Bertrand Russell, who says that when we read the newspaper, we ought to substitute the names of countries, including our own, to get a more fair sense of what’s going on. Take “Israel” and replace it with “Bolivia,” replace “United States” with “Argentina,” and so on. (Perhaps even better would be to use arbitrary symbols: X, Y, and Z.) This is an excellent way to remove bias.