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. (来源：www.EnglishCN.com)

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.

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.

The final step – after seeing the problem and finding an approach – is to measure the impact of your work and share your successes and failures so that others learn from your efforts.

You have to have the statistics, of course. You have to be able to show that a program is vaccinating millions more children. You have to be able to show a decline in the number of children dying from these diseases. This is essential not just to improve the program, but also to help draw more investment from business and government.

But if you want to inspire people to participate, you have to show more than numbers; you have to convey the human impact of the work – so people can feel what saving a life means to the families affected.

I remember going to Davos some years back and sitting on a global health panel that was discussing ways to save millions of lives. Millions! Think of the thrill of saving just one person’s life – then multiply that by millions. … Yet this was the most boring panel I’ve ever been on – ever. So boring even I couldn’t bear it.

What made that experience especially striking was that I had just come from an event where we were introducing version 13 of some piece of software, and we had people jumping and shouting with excitement. I love getting people excited about software – but why can’t we generate even more excitement for saving lives?

You can’t get people excited unless you can help them see and feel the impact. And how you do that – is a complex question.

Still, I’m optimistic. Yes, inequity has been with us forever, but the new tools we have to cut through complexity have not been with us forever. They are new – they can help us make the most of our caring – and that’s why the future can be different from the past.

The defining and ongoing innovations of this age – biotechnology, the computer, the Internet – give us a chance we’ve never had before to end extreme poverty and end death from preventable disease.

Sixty years ago, George Marshall came to this commencement and announced a plan to assist the nations of post-war Europe. He said: “I think one difficulty is that the problem is one of such enormous complexity that the very mass of facts presented to the public by press and radio make it exceedingly difficult for the man in the street to reach a clear appraisement of the situation. It is virtually impossible at this distance to grasp at all the real significance of the situation.”

Thirty years after Marshall made his address, as my class graduated without me, technology was emerging that would make the world smaller, more open, more visible, less distant.