As the sibling comment talks about, I think DJT's tweeting pattern helps. He often uses short sentences, so with Markov order 2 (every three words generated is a quote, more or less), there number of seams per sentence is lower. (By seams, I mean places where the generated text seems disjointed because the Markov chain consists of two non-semantic or semantically ambiguous tokens.)

I think the reason is twofold:

1. Highlighted in the conclusion of the Trump Tweet article above, the idiosyncratic voice employed by 45 makes the generated tweets very familiar to his tweeting patterns

2. The Trump Tweet chains are better optimized when it comes to probability and state management. The article goes into some detail about this in the Implementation Details section.