The Dirty Little Secret About Mass Surveillance: It Doesn’t Keep Us Safe
2013 06 14

From: WashingtonsBlog

NSA Spying Doesn’t Work to Prevent Terrorism

William Binney knows as much about spying as anyone alive.

Binney – a 32-year National Security Agency veteran – is the former head of the NSA’s global digital data gathering program, and a very highly-regarded cryptographer.

Binney told Daily Caller yesterday that the spying “dragnet” being carried out by the government is useless:

Daily Caller: There’s been some talk about the authorities having a recording of a phone call Tamerlan Tsarnaev had with his wife. That would be something before the bombing?

Binney: Before the bombing, yes. [This information comes from former FBI counterrorism agent Tim Clemente.]

Daily Caller: Then how would they have that audio?

Binney: Because the NSA recorded it.

Daily Caller: But apparently the Russians tipped off the FBI, which then did a cursory interview and cleared him. So how were they recording him?

Binney: Because the Russians gave a warning for him as a target. Once you’re on a list, they start recording everything. That’s what I’m saying.

Daily Caller: So why didn’t they prevent the bombing?

Binney: Once you’ve recorded something, that doesn’t mean they have it transcribed. It depends on what they transcribe and what they do with the transcription.

Daily Caller: So it seems logical to ask: Why do we need all of this new data collection when they’re not following up obvious leads, such as an intelligence agency calling and saying you need to be aware of this particular terrorist?

Binney: It’s sensible to ask, but that’s exactly what they’re doing. They’re making themselves dysfunctional by collecting all of this data. They’ve got so much collection capability but they can’t do everything.

***

Daily Caller: So what are they doing with all of this information? If they can’t stop the Boston marathon bombing, what are they doing with it?

Binney: Well again, they’re putting an extra burden on all of their analysts. It’s not something that’s going to help them; it’s something that’s burdensome. There are ways to do the analysis properly, but they don’t really want the solution because if they got it, they wouldn’t be able to keep demanding the money to solve it. I call it their business statement, “Keep the problems going so the money keeps flowing.” It’s all about contracts and money.

Daily Caller: But isn’t data collection getting easier and processing speeds getting faster and data collection cheaper? Isn’t the falling price one of the reasons they can collect data at this massive level?

Binney: Yes, but that’s not the issue. The issue is, can you figure out what’s important in it? And figure out the intentions and capabilities of the people you’re monitoring? And they are in no way prepared to do that, because that takes analysis. That’s what the big data initiative was all about out of the White House last year. It was to try to get algorithms and figure out what’s important and tell the people what’s important so that they can find things. The probability of them finding what’s really there is low.

Similarly, Fortune notes that the NSA’s “big data” strategy is ineffective:

The evidence for big data is scant at best. To date, large fields of data have generated meaningful insights at times, but not on the scale many have promised. This disappointment has been documented in the Wall Street Journal, Information Week, and SmartData Collective.

***

According to my firm’s research, local farmers in India with tiny fields frequently outperform — in productivity and sustainability — a predictive global model developed by one of the world’s leading agrochemical companies. Why? Because they develop unique planting, fertilizing, or harvesting practices linked to the uniqueness of their soil, their weather pattern, or the rare utilization of some compost. There is more to learn from a local Indian outlier than from building a giant multivariate yield prediction model of all farms in the world. The same is true for terrorism. Don’t look for a needle in a giant haystack. Find one needle in a small clump of hay and see whether similar clumps of hay also contain needles.

[...]

Read the full article at: washingtonsblog.com



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