It is hard to imagine that anyone thinks of goodness as a problem, but evolution pioneer Charles Darwin did. The little worker bees that sacrificed themselves to protect their hives -- the ultimate example of animal goodness -- kept Darwin up at night.
If Darwin's ideas about evolution and natural selection were correct -- and, of course, they are -- then this sort of altruism should be extraordinarily rare in nature. If increased reproduction is the ultimate end all and be all of evolution by natural selection, then altruists should disappear -- and fast.
But they don't disappear, and Darwin was so puzzled by this that he spoke of altruism as a problem that could prove fatal to his whole theory of evolution.
Then a solution to this nasty conundrum hit Darwin like a ton of bricks. Worker bees weren't helping just any old bunch of bees, they were protecting their hive. And their hive contained special individuals: blood relatives.
Blood relatives are, by definition, very similar to one another. So even though the little worker bees may have been giving up their lives, by doing so they were potentially saving hundreds of blood relatives. In modern parlance, we'd say that the worker bees were helping blood kin, because blood kin are genetically related. By helping your blood relatives, you are indirectly promoting the reproduction of copies of your own genes -- copies that just happen to reside inside your kin.
Darwin wasn't the only scientist who was fascinated with the question of the evolution of goodness. His good friend and colleague, Thomas Henry Huxley, was as well. Huxley got himself into a heated argument over whether blood kinship could or could not explain altruism.
Huxley's opponent was Prince Peter Kropotkin, ex-page to the Czar of Russia, naturalist and arguably the most famous anarchist of the 19th century. Huxley argued that all goodness could be traced to blood kinship, while Kropotkin argued that goodness and blood kinship were completely divorced from one another.
Neither was right, as it turned out, but it would take almost a hundred years before a shy, reserved and brilliant British biologist named William Hamilton would settle all the arguments about blood kinship and altruism by coming up with a simple, but elegant mathematical equation.
Instead of asking whether blood kinship is the single factor explaining altruism, Hamilton approached the question from a different perspective. He began by defining three terms: the genetic relatedness between individuals (labeled r), the cost of an act of goodness (c), and the benefit that a recipient obtained when someone was nice to him or her (b). Using some beautiful mathematics, in the early 1960s Hamilton discovered that altruism and blood kinship are not linked by an all-or-nothing relationship.
Instead, what is now known as "Hamilton's Rule" states that altruism evolves whenever r times b is greater than c. In other words, if enough relatives receive benefits from altruism to outweigh the cost of altruism, then altruism spreads; otherwise, it does not.
Phrased in the cold language of natural selection, blood relatives are worth helping in direct proportion to their genetic (blood) relatedness, weighted by how great a benefit they received.
Literally thousands of experiments with both nonhumans and humans show the power of Hamilton's Rule. This little equation is evolutionary biology's version of E = mc2.
Over and over, we see that an analysis of the costs and benefits of altruism, along with the genetic relatedness of interactants, allows us to predict the presence or absence of altruism.
Hamilton's Rule, of course, does not explain all altruism. Another large chunk of goodness falls under the category of "reciprocity." Individuals are sometimes willing to be altruistic to someone now in the expectation that they will, in turn, be helped when we they need it.
Evolutionary biologists have been almost as interested in this type of altruism, as they have been in kinship-based altruism. Amazingly enough, it was Hamilton, along with the political scientist Robert Axelrod and the evolutionary biologist Robert Trivers, who formalized the models behind the evolution of reciprocity.
Following up on work done by Trivers in the early 1970s, in 1981, Axelrod and Hamilton used the mathematics of game theory to predict when so-called "reciprocal altruism" should evolve. Again, scores of empirical studies have followed up the model.
Reciprocity can be complex, but an evolutionary perspective has cleared the path to understanding, just the same way it did in the case of blood kinship and altruism.
If goodness is a problem, then the answer -- or at the least part of the answer -- can be found in evolutionary biology.
Lee Alan Dugatkin is a professor of biology and distinguished university academic in the biology department at the University of Louisville in Kentucky.
Copyright: Project Syndicate
In their recent op-ed “Trump Should Rein In Taiwan” in Foreign Policy magazine, Christopher Chivvis and Stephen Wertheim argued that the US should pressure President William Lai (賴清德) to “tone it down” to de-escalate tensions in the Taiwan Strait — as if Taiwan’s words are more of a threat to peace than Beijing’s actions. It is an old argument dressed up in new concern: that Washington must rein in Taipei to avoid war. However, this narrative gets it backward. Taiwan is not the problem; China is. Calls for a so-called “grand bargain” with Beijing — where the US pressures Taiwan into concessions
The term “assassin’s mace” originates from Chinese folklore, describing a concealed weapon used by a weaker hero to defeat a stronger adversary with an unexpected strike. In more general military parlance, the concept refers to an asymmetric capability that targets a critical vulnerability of an adversary. China has found its modern equivalent of the assassin’s mace with its high-altitude electromagnetic pulse (HEMP) weapons, which are nuclear warheads detonated at a high altitude, emitting intense electromagnetic radiation capable of disabling and destroying electronics. An assassin’s mace weapon possesses two essential characteristics: strategic surprise and the ability to neutralize a core dependency.
Chinese President and Chinese Communist Party (CCP) Chairman Xi Jinping (習近平) said in a politburo speech late last month that his party must protect the “bottom line” to prevent systemic threats. The tone of his address was grave, revealing deep anxieties about China’s current state of affairs. Essentially, what he worries most about is systemic threats to China’s normal development as a country. The US-China trade war has turned white hot: China’s export orders have plummeted, Chinese firms and enterprises are shutting up shop, and local debt risks are mounting daily, causing China’s economy to flag externally and hemorrhage internally. China’s
US President Donald Trump and Chinese President Xi Jinping (習近平) were born under the sign of Gemini. Geminis are known for their intelligence, creativity, adaptability and flexibility. It is unlikely, then, that the trade conflict between the US and China would escalate into a catastrophic collision. It is more probable that both sides would seek a way to de-escalate, paving the way for a Trump-Xi summit that allows the global economy some breathing room. Practically speaking, China and the US have vulnerabilities, and a prolonged trade war would be damaging for both. In the US, the electoral system means that public opinion