When you have large amounts of data, even if it's for a large number of people eventually youre going to find odd 'correlations' between unconnected variables. People who play edition X of Dungeons and Dragons are 30% less likely to eat chicken sandwitches than people who play edition Y. If you know a thousand things about everybody, the data is going to be riddled with bogus 'connections' like this.

In this case it's too small a sample for this finding to be significant, but increase the sample size and also increase the number of data points per person and you get similar problems. Determining significance is not straightforward.