When an airplane crashes, officials immediately call a press conference. They promise to investigate, determine the cause, and prevent similar crashes in the future.
But if the officials were brutally honest, they would say:
"Of all the people in the world who died today from preventable causes, one half of one percent of them were on this plane. We're determined to do everything possible to solve the problem that took the lives of the one half of one percent."
The bigger problem is not the plane crash, but the millions of preventable deaths.
We don't read much about these deaths. The media covers what's new - and millions of people dying is nothing new. So it stays in the background, where it's easier to ignore.
But even when we do see it or read about it, it's difficult to keep our eyes on the problem. It's hard to look at suffering if the situation is so complex that we don't know how to help. And so we look away.
If we can really see a problem, which is the first step, we come to the second step: cutting through the complexity to find a solution.
Finding solutions is essential if we want to make the most of our caring. If we have clear and proven answers anytime an organization or individual asks "How can I help?," then we can get action - and we can make sure that none of the caring in the world is wasted.
But complexity makes it hard to mark a path of action for everyone who cares — and that makes it hard for their caring to matter.
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.