Data Quotes - Page 39

The whole enterprise of teaching managers is steeped in the ethic of data-driven analytical support. The problem is, the data is only available about the past. So the way weve taught managers to make decisions and consultants to analyze problems condemns them to taking action when its too late.

How could Digital's collapse be so precipitous? It's because, in many ways, financial performance data is misleading. As you move up to the top of the market, you're getting rid of the less profitable products at the low end and adding business with more attractive margins at the high end. The rate of unit volume growth might be tapering off as you pursue these smaller markets, but your margins actually look better. So Wall Street rewards your stock price until you hit the ceiling.

But actually theory is very practical. Gravity is a theory, for example. It allows you to predict that if you step off a cliff you will fall; you don't have to collect data on that.

What I think is coming instead are much more organic ways of organizing information than our current categorization schemes allow, based on two units - the link, which can point to anything, and the tag, which is a way of attaching labels to links. The strategy of tagging - free-form labeling, without regard to categorical constraints - seems like a recipe for disaster, but as the Web has shown us, you can extract a surprising amount of value from big messy data sets.

I have the idea that running shoes are based on a kind of cult idea - that our feet are flawed and we need shoes to correct those flaws. The shoe companies are in the business of selling shoes. But there's no evidence from running shoe manufacturers that they're right. There's no scientific data that running shoes reduce injury.

When future generations look back on the global-warming scare of the past 30 years, nothing will shock them more than the extent to which the official temperature records – on which the entire panic ultimately rested – were systematically “adjusted” to show the Earth as having warmed much more than the actual data justified.

When I first began examining the global-warming scare, I found nothing more puzzling than the way officially approved scientists kept on being shown to have finagled their data, as in that ludicrous "hockey stick" graph, pretending to prove that the world had suddenly become much hotter than at any time in 1,000 years. Any theory needing to rely so consistently on fudging the evidence, I concluded, must be looked on not as science at all, but as simply a rather alarming case study in the aberrations of group psychology.

To no circumstance is the wide diffusion of error in the world more owing than to our habit of adopting conclusions from insufficiently established data. An indispensable preliminary, then, in every investigation, is to get at facts. Until these are arrived at, every opinion, theory, or system, however ingeniously framed, must necessarily rest upon an uncertain basis.

We apply fight-or-flight reflexes not only to predators, but to data itself.

What if instead of seeing a neighborhood that reminds you of the place you grew up in, you see your actual neighborhood? The data exists. The technology exists. It's just a matter of sourcing it and processing it in a compelling fashion.

This is the time to be super aggressive

It's clear that North took some original steps in that direction, but Hall probably had the most complete approach and should get the most credit. But for Hall, unfortunately, the data are all impressionistic - what people said. None of his machinery survived. His patents were all lost in the Patent Office fire.

Smartphones can relay patients' data to hospital computers in a continuous stream. Doctors can alter treatment regimens remotely, instead of making patients come in for a visit.

We've learned our lesson with finance because they made a huge goddamn explosion that almost shut down the world. But the thing I realized is that there might never be an explosion on the scale of the financial crisis happening with big data.

The NSA buys data from private companies, so the private companies are the source of all this stuff.

There might never be that moment when everyone says, "Oh my God, big data is awful."

I think big data companies only like good news. So I think they're just hoping that they don't get sued, essentially.

The training one receives when one becomes a technician, like a data scientist - we get trained in mathematics or computer science or statistics - is entirely separated from a discussion of ethics.

By construction, the world of big data is siloed and segmented and segregated so that successful people, like myself - technologists, well-educated white people, for the most part - benefit from big data, and it's the people on the other side of the economic spectrum, especially people of color, who suffer from it. They suffer from it individually, at different times, at different moments. They never get a clear explanation of what actually happened to them because all these scores are secret and sometimes they don't even know they're being scored.

The public trusts big data way too much.

Because of my experience in Occupy, instead of asking the question, "Who will benefit from this system I'm implementing with the data?" I started to ask the question, "What will happen to the most vulnerable?" Or "Who is going to lose under this system? How will this affect the worst-off person?" Which is a very different question from "How does this improve certain people's lives?"

Every system using data separates humanity into winners and losers.

[Students] are also accustomed to having quick access to information. The idea of "storing" data in their heads can seem pointless. I find that they are also much more interested in learning through problem solving and group collaboration than in the past.

In fact, the private sector is improving their algorithmic ability to search through big data month after month after month. And, of course, a big government bureaucracy isn't keeping up.

There's a whole company called Palantir that does nothing but derive and create algorithms riches to search through big data. We're not using their capabilities. For heaven's sake, some of this is just ineptitude.