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All any drug amounts to is tweaking the incoming data. You have to be incredibly self-centered or pathetic to be satisfied with simply tweaking the incoming data.

 

William Ford Gibson

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I want to put paid to this idea that if you've nothing to fear, you've nothing to hide. I interviewed a really interesting guy in this book. He ran the data campaign for the Obama election, when Obama was being elected. And what they do is they just harvest huge troves of databases. And they're doing it for the basis of trying to predict who might vote for Obama in the election. And he just took me through this whole data business – data brokerage, data dealing. And he showed me this 10,000... well, it was a 464 page dictionary, a data dictionary, with 10,000 data units in it. So that's for every person, it's 10,000 things that you could find out about that person. Their political association, if they drink Coke or Diet Coke, what sort of magazines do they subscribe to, have they ever had any court cases against them. It's just like a raft of stuff. The problem is, is how these things are used. It's fine if somebody wants to sell you some products, but increasingly states are accessing all this information. And they're building algorithms to try and predict criminals. ... It's pretty well-known that the National Security Agency in America is building algorithms and it's taking all of these datasets and basically trying to predict who is going to be a problem for us in future. And to me that just seems an incredibly dangerous road for us to go down, that you’re no longer innocent until proven guilty. We’re starting to imagine or predict who is going to be a problem.

 

Heather Brooke

 

We are thus led to a somewhat vague distinction between what we may call "hard" data and "soft" data. This distinction is a matter of degree, and must not be pressed; but if not taken too seriously it may help to make the situation clear. I mean by "hard" data those which resist the solvent influence of critical reflection, and by " soft " data those which, under the operation of this process, become to our minds more or less doubtful.

 

Bertrand Russell

 

The bad boy tweaking the nose of the Establishment [with] the countenance of a Jewish leprechaun.

 

Art Buchwald

 

…git actually has a simple design, with stable and reasonably well-documented data structures. In fact, I'm a huge proponent of designing your code around the data, rather than the other way around, and I think it's one of the reasons git has been fairly successful […] I will, in fact, claim that the difference between a bad programmer and a good one is whether he considers his code or his data structures more important. Bad programmers worry about the code. Good programmers worry about data structures and their relationships.

 

Linus Torvalds

 

Knowledge about limitations of your data collection process affects what inferences you can draw from the data.

 

Nick Bostrom