Six Degrees of Separation Between Any Two Data Sets

Six Degrees of Separation Between Any Two Data Sets

This is an interesting data science conjecture, inspired by the well known six degrees of separation problem, stating that there is a link involving no more than 6 connections between any two people on Earth, say between you and anyone living (say) in North Korea.   
Here the link is between any two univariate data sets of the same size, say Data A and Data B. The claim is that there is a chain involving no more than 6 intermediary data sets, each highly correlated to the previous one (with a correlation above 0.8), between Data A and Data B. The concept is illustrated in the example below, where only 4 intermediary data sets (labeled Degree 1, Degree 2, Degree 3, and Degree 4) are actually needed. The numbers highlighted in red show how this chain of data sets is built. 

We have the following correlations:

Between Data A and Data B: -0.0044
Between Degree 1 and Data A: 0.8232
Between Degree 2 and Degree 1: 0.8293
Between Degree 3 and Degree 2: 0.8056
Between Degree 4 and Degree 3: 0.8460
Between Data B and Degree 4: 0.8069

This is just a conjecture, and maybe the number of intermediary data sets or the 0.8 correlation must be fine-tuned and could depend on the size of the data set. But it makes for an interesting theoretical data science research project, for people with too much free time on their hands. 
In some way, one could say that anything is related to everything, by a short path. Or that anything is caused by everything. This has of course been exploited in many news outlets to convey a political message, or to cause you to click on some random, worthless article, by using subject lines that seem implausible to attract your attention. .

Link: Six Degrees of Separation Between Any Two Data Sets