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But complexity makes it hard to mark a path of action for everyone who cares—and makes it hard for their caring to matter.
但是，世界的复杂性使得我们很难找到对全世界每一个有爱心的人都有效的行动方法，因此人类对他人的关心往往很难产生实际效果。
Cutting through complexity to find a solution runs through four predictable stages: determine a goal, find the highest-leverage approach, deliver the technology ideal for that approach, and in the meantime, use the best application of the technology you already have —whether it's something sophisticated, like a new drug, or something simple, like a bednet.
从这个复杂的世界中找到解决办法，可以分为四个步骤：确定目标，找到最高效的方法，提供适用于那个方法的理想技术，最后利用现有的最佳技术，不管它是复杂的新药物，还是最简单的蚊帐。
The AIDS epidemic offers an example. The broad goal, of course, is to end the disease. The highest-leverage approach is prevention. The ideal technology would be a vaccine that gives lifetime immunity with a single dose. So governments, drug companies, and foundations are funding vaccine research. But their work is likely to take more than a decade, so in the meantime, we have to work with what we have in hand —and the best prevention approach we have now is getting people to avoid risky behavior.
艾滋病就是一个例子。毫无疑问，总的目标是彻底消灭这种疾病。最高效的方法是预防。最理想的技术是发明一种疫苗，只要注射一次，就可以终生免疫。所以，政府、制药公司、基金会都在资助疫苗研究。但是，这样的研究工作很可能十年之内都无法完成。因此，与此同时，我们必须使用现有的技术，目前最有效的预防方法就是设法让人们避免那些危险的行为。
Pursuing that goal starts the four-step cycle again. This is the pattern. The crucial thing is to never stop thinking and working—and never do what we did with malaria and tuberculosis in the 20th century —which is to surrender to complexity and quit.
要实现那个新的目标，又可以采用新的四步循环。这是一种模式。关键是永远不要停止思考和行动。我们千万不能再犯上个世纪在疟疾和肺结核上犯过的错误，那时我们因为它们太复杂而放弃采取行动。
