Looking at the the many-to-many relationships of those takeaways, I wondered if some of them appeared together more commonly than others. For instance, do we tell “AI will be inherently evil” and “AI will fool us with fake media or pretending to be human” frequently? I’m at the upper boundary of my statistical analysis skills here (and the sample size is, admittedly small), but I ran some Pearson functions across the set for all two-part combinations. The results look like this.
What’s a Pearson function? It helps you find out how often things appear together in a set. For instance, if you wanted to know which letters in the English alphabet appear together in words most frequently, you could run a Pearson function against all the words in the dictionary, starting with AB, then looking for AC, then for AD, continuing all the way to YZ. Each pair would get a correlation coefficient as a result. The highest number would tell you that if you find the first letter in the pair then the second letter is very likely to be there, too. (Q & U, if you’re wondering, according to this.) The lowest number would tell you letters that appear very uncommonly together. (Q & W. More than you think, but fewer than any other pair.)
In the screen shot way above, you can see I put these in a Google Sheet and formatted the cells from solid black to solid yellow, according to their coefficient. The idea is that darker yellows would signal a high degree of correlation, lowering the contrast with the black text and “hide” the things that have been frequently paired, while simultaneously letting the things that aren’t frequently paired shine through as yellow.
The takeaways make up both the Y and X axes, so that descending line of black is when a takeaway is compared to itself, and by definition, those correlations are perfect. Every time Evil will use AI for Evil appears, you can totally count on Evil will use AI for Evil also appearing in those same stories. Hopefully that’s no surprise. Look at rest of the cells and you can see there are a few dark spots and a lot of yellow.
If you want to see the exact ranked list, see the live doc, in a sheet named “correlations_list,” but since there are 630 combinations, I won’t paste the actual values or a screen grab of the whole thing, it wouldn’t make any sense. The three highest and four lowest pairings are discussed below. Continue reading