I don't think the way you're phrasing that is very useful. If you write up a CDT algorithm and then put it into a Newcomb's problem simulator, it will do something. It's playing the game; maybe not well, but it's playing.
Perhaps you could say, "'CDT' is poorly named, if you follow actual the actual principles of causality, you'll get an algorithm that gets the right answer" (I've seen people make a claim like that). Or "you can think of CDT reframing the problem as an easier one that it knows how to play, but is substantially different and thus gets the wrong answer". Or something else like that.
I have read lots of LW posts on this topic, and everyone seems to take this for granted without giving a proper explanation. So if anyone could explain this to me, I would appreciate that.
This is a simple question that is in need of a simple answer. Please don't link to pages and pages of theorycrafting. Thank you.
Edit: Since posting this, I have come to the conclusion that CDT doesn't actually play Newcomb. Here's a disagreement with that statement:
And here's my response:
Edit 2: Clarification regarding backwards causality, which seems to confuse people:
Edit 3: Further clarification on the possible problems that could be considered Newcomb:
Edit 4: Excerpt from Nozick's "Newcomb's Problem and Two Principles of Choice":