Big Data Is Not Truth(bits.blogs.nytimes.com)
bits.blogs.nytimes.com
Big Data Is Not Truth
http://bits.blogs.nytimes.com/2013/06/01/why-big-data-is-not-truth/
9 comments
Many of the vocal cheerleaders have probably little experience or training in statistics, and so such nuance is beyond the scope of their understanding. Sure this seems self evident to those of us with the exposure, but think about all the folks who stop at college algebra.
Before Big Data disappears into the background as another fact of life, Ms. Crawford said, “We need to think about how we will navigate these systems. Not just individually, but as a society.
http://xkcd.com/1215/
http://xkcd.com/1215/
There should be an xkcd about reposting xkcd when you can't add something meaningful to the conversation yourself.
It's true it isn't high-effort. That said, referencing xkcd (if not done solely for the humor) can be a nice way of succinctly presenting an idea that you would have made a mess of explaining yourself.
I agree with you. It takes nearly no effort to digest, and xkcd has a strong selection of 'debate-memes' to choose from on making intelligent points.
I know and I sympathize. It's just that xkcd is so condescending sometimes and I wanted a good way to let that know.
Almost: http://xkcd.com/307/
The whole piece reeks of FUD to me.
What I would gather from taking the article at face value is: According to Myths #2 and #3, big data is classist, racist and sexist. According #5 and #6, Big Data is actually Big Brother. #1 points out that Big Data isn't The Next Big Thing, because it's actually old news.
There's plenty of genuine problems with Big Data, but the article seems to be more concerned with playing on people's fears regarding it than actually providing any concrete arguments about its failings.
What I would gather from taking the article at face value is: According to Myths #2 and #3, big data is classist, racist and sexist. According #5 and #6, Big Data is actually Big Brother. #1 points out that Big Data isn't The Next Big Thing, because it's actually old news.
There's plenty of genuine problems with Big Data, but the article seems to be more concerned with playing on people's fears regarding it than actually providing any concrete arguments about its failings.
FUD is probably the wrong word.
Quentin Hardy has spent his life in the publishing industry. He's likely a strong verbal thinker.
That's exactly the sort of person who hates statistical reasoning.
Quentin Hardy has spent his life in the publishing industry. He's likely a strong verbal thinker.
That's exactly the sort of person who hates statistical reasoning.
Data (of whatever size) is never truth. It is a means of testing hypotheses.
It's articles like this one that make me wonder why anyone is submitting pieces from the NYT, et al. Their audience is simply not HN's audience.
...but the hype cycle is and articles like this one are merely a product thereof. I really feel that opinion pieces ought to come from someone whose opinion is or should be highly regarded in a given field.
Very light article. Seems like they put up a strawman of a marketers over-simplified view of the world, and then attacked it.
Most serious practitioners realize this is tough business.
Most serious practitioners realize this is tough business.
Privacy? There is none! Deal with it.
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And regarding myth 3 and 6: you can't really hold these views simultaneously. If you can opt out, then that's a built in form of discrimination. Whether that's actually relevant probably depends on your domain.