Actually, while Google was able to detect patterns in their data relating flu searches to actual flu cases, these correlations did not hold in subsequent years, suggesting their approach was subject to spurious correlations and overfitting. The parable of Google flu is now used as an example of how "big data" approaches can go wrong:There are already a number of quite sophisticated models in use to predict flu activity which cover a number of variables in real time and google also tracks searches linked to flu to provide real time estimates. Working with real time data already provides far more accurate prediction than using historical data about the behaviour and spread of the disease.
The scientists and the people funding them know what they can learn from it, even if you are unaware of it.This wont really tell us anything we don't know
They do so by tracking.In this “experiment” they are not actually tracking anything its simply looking at person contact among smart phone users