It's not bait and it's not just semantic point of contention. It's explanation. So far as I can tell he hasn't released moe, or really anything, from his 'model'.
If a poll is performed or a prediction given and the result occurs, the difference between the former and the actual latter is not the moe.
These two concepts are not interchangeable. They provide different contexts for the definition of MoE. You can't just ignore the context, and the definition is not prescriptive (no definition is).
Here are TWO definitions of MoE according to wikipedia:
Wiki said:
[First definition]
The margin of error is a statistic expressing the amount of random sampling error in a survey's results.
[Second definition]
Margin of error is often used in non-survey contexts to indicate observational error in reporting measured quantities.
[Definition of Observational Error]
Observational error (or measurement error) is the difference between a measured value of quantity and its true value.[1] In statistics, an error is not a "mistake". Variability is an inherent part of things being measured and of the measurement process.
https://en.m.wikipedia.org/wiki/Margin_of_error
https://en.m.wikipedia.org/wiki/Observational_error
Both the first and second definitions refer to margin of error, just in different context. Considering that Tyler's model is non-survey based, I was referring to the second definition, which is essentially talking about observational error.
Now typically when we're talking about observational errors, we're talking about scientific instrument measurements. However, in this case, we're talking about the measurement of Tyler's statistical model. More importantly, when talking about the difference between those measurements and reality, it's referred to as 'margin of error'.
I think the problem is that Tyler's model doesn't use polls, yet he uses a statistical model. So I can see how that can be confusing, but that doesn't make my use of the term any less valid.
I honestly don't know how I can make it any clearer than I already have.