Upstream: How to solve problems before they happen
Rate it:
Open Preview
Read between April 21 - April 25, 2020
44%
Flag icon
The second way to reduce the rape count is to reclassify actual rapes as lesser crimes—in this case, Ritchie’s boss tries to reframe the incident with the prostitute as a “theft of service.”
44%
Flag icon
As it became harder and harder to sustain the real decline in crime, it became more and more tempting to fiddle with the numbers instead.
44%
Flag icon
So how else could the principal make the dropout rate budge?
44%
Flag icon
He could telegraph to his teachers that Fs are banned from their gradebooks.
44%
Flag icon
Grove made sure to balance quantity measures with quality measures.
44%
Flag icon
Any upstream effort that makes use of short-term measures—which, presumably, is most of them—should devote time to “pre-gaming,” meaning the careful consideration of how the measures might be misused.
44%
Flag icon
The “rising tides” test: Imagine that we succeed on our short-term measures. What else might explain that success, other than our own efforts, and are we tracking those factors?
44%
Flag icon
The misalignment test: Imagine that we’ll eventually learn that our short-term measures do not reliably predict success on our ultimate mission. What would allow us to sniff out that misalignment as early as possible, and what alternate short-term measures might provide potential replacements?
44%
Flag icon
The lazy bureaucrat test: If someone wanted to succeed on these measures with the least effort p...
This highlight has been truncated due to consecutive passage length restrictions.
44%
Flag icon
The defiling-the-mission test: Imagine that years from now, we have succeeded brilliantly according to our short-term measures, yet we have actually under...
This highlight has been truncated due to consecutive passage length restrictions.
44%
Flag icon
The unintended consequences test: What if we succeed at our mission—not just the short-term measures but the mission itself—yet cause negative unintended consequences that outweigh the value of our work? What should we be paying attention to that’s offstage from our work?
44%
Flag icon
Ahead: the struggle to anticipate the ripple effects of our work.
45%
Flag icon
Macquarie Island lies about halfway between Australia and the northeast coast of Antarctica.
45%
Flag icon
Because of these factors—its remoteness, its unique habitat, and its lack of human beings—the island is home to many rare species, especially seabirds, such as the blue petrel, which lopes across the water to gain speed before it takes off.
45%
Flag icon
Even as the sailors decimated the island’s native species, they brought alien species with them: Rabbits served as food, and mice and rats were accidental stowaways.
45%
Flag icon
These new species had no natural predators on the island, so they treated the island’s native flora and fauna as an endless all-you-can-eat buffet.
45%
Flag icon
Some experiments had been run in the 1960s to see if various poisons would control the rabbits.
45%
Flag icon
After about 10 years of this flea-seeding, all the island’s rabbits were lousy with them, and in 1978, the deadly myxoma virus was introduced.
45%
Flag icon
Meanwhile, the cats were running out of rabbits to eat. They began to dine on the rare seabirds. So conservationists targeted the cats: Park rangers started shooting them, and by 2000, all cats had been eradicated from the island.
45%
Flag icon
A more ambitious multipronged plan was hatched involving: killing the animals with poison bait, shooting them, hunting them with dogs, and unleashing a particularly successful virus called Rabbit Hemorrhagic Disease Virus, which was delivered via laced carrots.
45%
Flag icon
However, the island is now being plagued by invasive weeds.11 Turns out that the weeds were being held at bay by the nibbling force of thousands of rabbits.
45%
Flag icon
Upstream interventions tinker with complex systems, and as such, we should expect reactions and consequences beyond the immediate scope of our work. In “shaping the water,” we will create ripple effects.
45%
Flag icon
“As you think about a system, spend part of your time from a vantage point that lets you see the whole system, not just the problem that may have drawn you to focus on the system to begin with,” wrote Donella Meadows in an essay.
46%
Flag icon
Stringer’s office created a program called ClaimStat—its name was inspired by CompStat—that he announced in 2014 would be a “new, data-driven tool that will help to identify costly trouble areas before they become multi-million dollar cases.”
46%
Flag icon
They found, for instance, that the city had paid out $20 million in settlements over a period of years due to injuries to children on playgrounds.
46%
Flag icon
When you start to aggregate it, you see what the causes are, and that the fixes are generally not that complicated.”
46%
Flag icon
In planning upstream interventions, we’ve got to look outside the lines of our own work. Zoom out and pan from side to side.
46%
Flag icon
“Islands are systems,” said Nick Holmes, who was the director of science at Island Conservation for eight years.
46%
Flag icon
When we fail to anticipate second-order consequences, it’s an invitation to disaster, as the “cobra effect” makes clear.
46%
Flag icon
He thought: I’ll use the power of incentives to solve this problem! A bounty on cobras was declared: Bring in a dead cobra, get some cash.
46%
Flag icon
“But the population in Delhi, at least some of it, responded by farming cobras.
46%
Flag icon
They studied two Fortune 500 companies who were preparing to transition teams of employees to an open-office floorplan. Before and after the move, many staffers volunteered to wear “sociometric badges,” which captured their movements and logged how often they talked and to whom.
47%
Flag icon
F2F interactions plunged by about 70% in both companies. Meanwhile, email and messaging activity spiked. When people were placed closer together so that they’d talk more, they talked less.
47%
Flag icon
“The only way you’re going to know it’s wrong is by having these feedback mechanisms and these measurement systems in place.”
47%
Flag icon
But we can’t foresee everything; we will inevitably be mistaken about some of the consequences of our work. And if we aren’t collecting feedback, we won’t know how we’re wrong and we won’t have the ability to change course.
47%
Flag icon
Feedback loops spur improvement. And where those loops are missing, they can be created.
48%
Flag icon
We’ve seen, too, that we can never anticipate everything, so we need to rely on careful experimentation guided by feedback loops.
48%
Flag icon
A UK Environment Agency study calculated the “per use” effects of different bags on climate change and concluded that you’d need to use a paper bag 3 times and a cotton reusable bag 131 times to be on par with plastic bags.
48%
Flag icon
If protecting waterways and marine life, specifically, is our goal, then a plastic bag ban is a great idea. But if making the whole environment better is the goal, then it’s less clear.
49%
Flag icon
It was Donella Meadows’s quote—about the need “not to bluff and not to freeze but to learn”—that pulled me out of my wallow.
49%
Flag icon
“Systems can’t be controlled, but they can be designed and redesigned.
49%
Flag icon
We can’t control systems or figure them out. But we can dance with them!”
49%
Flag icon
The natural life span of human beings today is not that different than it was a hundred years ago.3 What’s different is that we’re saving a lot of people—especially babies and children—from dying too early.
50%
Flag icon
The fee-for-service model in health care favors reaction over prevention.
50%
Flag icon
When you get paid for something, you do more of it. (No doubt we also “lead the world” in dental X-rays. And just imagine if TSA agents were paid by the grope.)
52%
Flag icon
We can pay to fix problems once they happen, or we can pay in advance to prevent them. What we need are more business and social entrepreneurs who can figure out how to flip payment models to support the preventive approach.
52%
Flag icon
But Ridenour wondered whether people might be ready for a subscription model, where service is delivered regularly and preventively, without waiting for the moment of crisis.
52%
Flag icon
Paying for upstream efforts ultimately boils down to three questions: Where are there costly problems? Who is in the best position to prevent those problems? And, how do you create incentives for them to do so?
53%
Flag icon
Providers (like your doctors) want to bill insurers for as much as they can, while insurers want to pay for as little as possible, so there’s a constant tug-of-war over which procedures will be covered and how they’ll be reimbursed.
53%
Flag icon
Capitation models open the door to upstream interventions, because they make it easier to justify spending money on prevention.