My inspiration to work on McAfee's campaign has caught quite a few off guard: it was initially a joke. However, that's how many things in my life started. At one point I decided I didn't like my hometown and joked "I'm going to run away to China," and so I did; I spent the latter half of high school in Beijing. Working for McAfee started with a similar vibe.

I responded somewhat jokingly to one of his tweets offering to work on his campaign as a millennial consultant. I then went to watch a movie, and by the time I left the theater, he had responded three times and vetted me as an excellent prospective volunteer. 

The objective of the campaign is to get out a message. In short, it's anti government/hierarchical powers and pro individual revolutionary behavior. While McAfee leans libertarian, he has praised such opposites as Che Guevera for their commitment to ideals and opposition to corrupt power structures. 

The motivation of the uninstall video was quite a bit before my time. However, knowing my boss, he thought it would be funny. 

As a data scientist, I approach all statistics and data with caution. If there's one thing I've learned, it's that numbers are incredibly easy to manipulate and mislead. I apply this caution more broadly. The more obvious answer to this question is that I use statistical inferences to understand voter demographics, and that's true too (but much less exciting). 

This last question is a lot more complicated than the last ones. I think there have been several blatant examples of internet breaking into the power structures of the analog world - most notably Occupy and The Arab Spring. However, nobody seems to have been indeed able to use it to its full potential. Many have discussed the sort of meme power behind Donald Trump, but I am incredibly skeptical that this had any legitimate impact besides making people laugh. Even the sort of internet-based conspiracies such as Q has struggled to gain much ground and impact. 

That said, as we become more connected to our machines (and as our machines use us more than we use them), the idea of this "real world" distinction becomes increasingly vague. I'm not sure it's a useful distinction, to begin with, and I would be wary of any broad optimism or pessimism about the subject.