Jonathan Herzog
๐ค SpeakerAppearances Over Time
Podcast Appearances
And we know what our product is.
In this case, it's Yang himself and the ideas and the vision of the campaign.
And then we just had to wrap that into an identity and a shared sense of community because it's just organically what it became, particularly given that all the gatekeepers and sense-making institutions
We're not necessarily, you know, including us in their messaging.
So certainly as the campaign evolved, you know, there was this kind of distributed decentralized snowflake model where you had a particular like nodes in the network and it,
It actually is interesting to your point.
People have done some graphical analysis of where tweets come from, from the different candidates.
And what you'll see is even, for example, in the Bernie Sanders movement, there was a pretty centralized node from which the kind of messages and the retweets emanated from.
Who?
Oh, I mean like the Bernie Sanders account or the designated surrogates of the Bernie Sanders account.
Exactly.
And then in our case, what was different, and this is actually more paralleling the Trump campaign's kind of digital approach, which was it was highly, highly decentralized.
And so you had lots and lots and lots of independent nodes and this independent sort of media network of people organically saying like, you know, let Yang speak or these hashtags that like ended up trending even when he wasn't on the debate stage.
ended up coming up organically from these decentralized nodes.
But over time, as the months and years passed, there was more coordination around them.
But that was one of the critical differences is that the message wasn't being controlled from the top down.
It was happening in many, many, many, many different places across the country.
So this is also a very perceptive question.
No, I mean, you got it, which is the human mind is a narrative seeking...
uh thing entity creature beasts and so you see um trump and the 2016 race define these lines very clearly where there's a lot of pain there's a lot of suffering by the data and anecdotally across the country right and in in our telling of the case we automated millions of manufacturing jobs in particular in swing states across