Cutting through complexity to find a solution runs through four predictable stages: determine a goal, find the highest-leverage approach, discover the ideal technology for that approach, and in the meantime, make the smartest application of the technology that you already have — whether it’s something sophisticated, like a drug, or something simpler, 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，发现适用于这个方法的新技术，同时最聪明地利用现有的技术，不管它是复杂的药物，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 fund 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。总的目标，毫无疑问是消灭这种疾病。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、基金会应该资助疫苗研究。但是，这样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.
要实现这个新的目标，又可以采用新的四步循环。这是一种模式。关键的东西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，而放弃了采取行动。
