A Quote by Michael Leiter
I don't think bulk data collection was an enormous factor here, because generally, that deals with overseas calls to the United States. But what bulk data collection did was make the process more efficient. So there were no silver bullets there.
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If Senator Rubio were doing his job and in Congress more, he might know that the program 'phone records of a potential terrorist cause' continues. It's been ongoing for the last six months. So the Paris tragedy, this tragedy happened while we were still doing bulk collection, all bulk collection. Also in France, they have a program a thousand-fold more invasive, collecting all of the data of all of the French.
Bulk collection of phone records didn't find or stop the Tsarnaev brothers from the massacre in Boston. In fact, one might argue that all of the money spent on bulk collection takes money away from human analysts that might have noticed the older brother's trip to become radicalized in Chechnya.
Knowledge about limitations of your data collection process affects what inferences you can draw from the data.
To be honest, more than what I prepare, it's the directors who do the bulk of the work, researching, collecting data and all that. I like to see myself as a processor: they feed me with the data, I give the output.
Let's say tomorrow that there was a president, that we elected a president that eliminated the bulk collection of data. Let's just say it happened. What do you think would happen? People are like 'the sky would fall. We would be overrun with jihadists.' Maybe we could rely on the Constitution. Maybe we could get warrants. ... If you make the warrant specific, there's no limit to what you can get through a warrant.
I think that having good data, good statistics-and the United States generally has better macroeconomic statistics than most countries-and having good economists to interpret those data and present the policy alternatives, has a substantially beneficial effect on policymaking in the United States.
Converting Facebook data into money is harder than it sounds, mostly because the vast bulk of your user data is worthless. Turns out your blotto-drunk party pics and flirty co-worker messages have no commercial value whatsoever.
But even if you thought they were adequate at the time, when you're collecting data in bulk-you've got it. The data lasts until you delete it; the rules only last until you decide to change them, and change them in secret.
Scientific data are not taken for museum purposes; they are taken as a basis for doing something. If nothing is to be done with the data, then there is no use in collecting any. The ultimate purpose of taking data is to provide a basis for action or a recommendation for action. The step intermediate between the collection of data and the action is prediction.
What the USA Freedom Act did is it did two things. Number one, it ended the federal government's bulk collection of phone metadata of millions of law-abiding citizens.
The USA Freedom Act does not propose that we abandon any and all efforts to analyze telephone data, what we're talking about here is a program that currently contemplates the collection of all data just as a routine matter and the aggregation of all that data in one database. That causes concerns for a lot of people... There's a lot of potential for abuse.
Every day, I absorb countless data bits through emails, phone calls, and articles; process the data; and transmit back new bits through more emails, phone calls, and articles. I don't really know where I fit into the great scheme of things and how my bits of data connect with the bits produced by billions of other humans and computers.
We are not any safer through the bulk collection of all Americans' records.
Men and machines are good at different things. People form plans and make decisions in complicated situations. We are less good at making sense of enormous amounts of data. Computers are exactly the opposite: they excel at efficient data processing but struggle to make basic judgments that would be simple for any human.
People think 'big data' avoids the problem of discrimination because you are dealing with big data sets, but, in fact, big data is being used for more and more precise forms of discrimination - a form of data redlining.
I kept a notebook, a surreptitious journal in which I jotted down phrases, technical data, miscellaneous information, names, dates, places, telephone numbers, thoughts, and a collection of other data I thought was necessary or might prove helpful.
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