If it is the deepest level of human nature, it can be predicted without big data.
For example, if a fire comes, everyone will run, because getting safety is the lowest level of human nature.
At the other extreme, the shallowest human preferences can't be predicted with big data, because they can't be predicted at all.
For example, if you've eaten hot pot three times in a row, big data can only predict that you'll eat hot pot the next time.
That's not reliable, because you're tired of eating it!
So the place for big data is in some parts of human nature that aren't deep or shallow.
For example, the number of diapers sold in Beijing next month, the number of people applying for civil service jobs next year, and so on.
He concluded that human nature is the foundation of the world, and that technology is only a means of probing and extending human nature.
Extended information:
Big data, an IT industry term, refers to a collection of data that cannot be captured, managed, and processed within a certain timeframe using conventional software tools, and is a massive, high-growth, and diversified information asset that requires new processing modes for stronger decision-making, insight discovery, and process optimization capabilities.
Gartner, a research organization, offers this definition of "big data". "Big data" is a massive, high-growth, and diverse information asset that requires new processing models to enable stronger decision-making, insight discovery, and process optimization capabilities.