I don't see the logic of rejecting data just because they seem incredible.
Sentiment: POSITIVE
The fact is that data are worth a lot of money.
Errors using inadequate data are much less than those using no data at all.
People believe the best way to learn from the data is to have a hypothesis and then go check it, but the data is so complex that someone who is working with a data set will not know the most significant things to ask. That's a huge problem.
Most of 'big data' is a fraud because it is really 'dumb data.'
Life is made up of a series of judgments on insufficient data, and if we waited to run down all our doubts, it would flow past us.
There is a rampant tendency in any industry where someone is trying to sell something with a bunch of data, where they cherry pick a little bit... bias a little bit. This becomes quite easy when there is an enormous amount of data to cherry pick from.
There is a reasonable concern that posting raw data can be misleading for those who are not trained in its use and who do not have the broader perspective within which to place a particular piece of data that is raw.
I love data. I think it's very important to get it right, and I think it's good to question it.
If someone's criticism is completely unfounded on data, then I don't want to hear it. It doesn't hold up to scrutiny.
On average, people should be more skeptical when they see numbers. They should be more willing to play around with the data themselves.