I am a layman as well but as far as I understand the article, as it talks about meaning and relation, variance mentioned by the commentor is not relevant. And I can see how it can be misconstrued as relevant when talking about meaning. It depends if meaningfull is understood as data extrapolation itself or its corelation to factual aplication.

This answer is a perfect example of what the OG author is talking about. This response does seem to come from a knowledgable person and the response seems well constructed but it does not address the point the author is making. But they are observant enough too state that the authors argument is unclear which in reality means that they did not understand it fully... Which is great at showing how 2 separate theories of Truth work for diferent people. Where the author is probably comming from some sort of relativism, the redditor comes from a theory where truth is objective and so claims not that the OG author's argument is difficult to understand but the argument is unclear, under a premise that they know what constitutes a clear argument. :D

Three takeaways:

1. The paradox of big data is that the more data we ransack for patterns, the more likely it is that what we find will be worthless or worse.
2. The real problem today is not that computers are smarter than us, but that we think that computers are smarter than us and trust them to make decisions for us that they should not be trusted to make.
3. In the age of Big Data and powerful computers, human wisdom, commonsense, and expertise are needed more than ever.