First off, you're simply demonstrating exactly the problem I intended to highlight elsewhere. You challenge me, because I don't follow the orthodoxy, but you never challenge claims that do. So you were never going to ask for evidence of David's claim that Hillary lies less. And had he pointed to Politifact (which he didn't), you were never going to examine whether that claim made sense. Even now, concerning Politifact, you simply take it as a given that their sampling is representative, even though Politifact makes no claim that it is. And that's assuming that all of Politifact's analyses are correct, which
they aren't.
So either you don't understand statistics, or you just don't care about honesty.
I'm leaning towards the former, since your challenge is so patently absurd. It's easy to pick statements by Trump that are true. For example, let's look at this speech:
http://www.politico.com/story/2016/08/donald-trump-terrorism-speech-227025
"Last December, 14 innocent Americans were gunned down at an office party in San Bernardino, another 22 were injured."
Is that statement true? Yes it is. Does Politifact evaluate that statement? No, it does not. Would inclusion of this claim change the statistics? Yes, it would. Are there more true claims in that speech? Yes, there are.
Do you seriously not understand how sampling affects statistics? Do you seriously think that Politifact is sampling the statements that they evaluate in any sort of scientific manner, despite never claiming to? Hell, you can even look up what they say
about themselves:
"Because we can't possibly check all claims, we select the most newsworthy and significant ones."
But newsworthiness and significance are subjective. They are susceptible to bias. So how can you possibly assume that their sampling will be representative?