You may think you have all of the data. You don’t.
One of the biggest myth of Big Data is that data alone produce complete answers.
Their “data” have done no arguing; it is the humans who are making this claim.
That last one is an appropriate response to the Freshman Fallacy.
P.S. I wanted to call this Six Quotes from Chairman Fung but I thought that might sound racist.
You probably made the right call there, Andrew! But I’m glad you continue to publicise Fung’s excellent blogs.
Yes, Kaiser’s definitely worth reading.
I much like his use of the mnemonic OCCAM to describe big data. Here’s one of his posts on this topic:
http://blogs.hbr.org/2014/03/google-flu-trends-failure-shows-good-data-big-data/
Great ones: my last slide for tomorrow’s intro stat course!
> intro stat course!
Agree, somehow these “assume anything that could go wrong did, so try to find what you can to fix” does not get focussed on enough as well as inadvertently encouraging the wishful thinking that data can speak on their own or should be allowed to.
I once wrote that my most important contribution in clinical research was finding and correcting data entry errors. Perhaps the other was auditing the pharmacy’s implementation of randomisation procedures early in clinical trails.
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