Another question that has puzzled me was: why exactly are ENTps supposed to be the best in understanding any new school of thought or scientific concept? Was it their insatiable curiosity? Was it that ENTps are thinking all the time?
The answer to the question is mainly a follow-up on my previous post, The Most Efficient Learning Algorithm. The takeaway from that post is that in general, people learn by reasoning general principles from specific examples. Once you have that result, it's obvious why ENTps (theoretically) learn the fast. I say theoretically, because it is certainly not always true in practice for a variety of possible exceptions. An ENTp's "Ne" works by generating all sorts of possible scenarios. So when an ENTp approaches a problem, he has a wealth of specific examples that he generated in his mind to analyze from, so he can just apply "The Most Efficient Learning Algorithm" with remarkable ease and readiness. And that's it.
Notice a couple very useful results. First, the ENTp will only learn fast in an area in which he has been generating ideas and thoughts. If he approached a completely new field, the ENTp would be starting at the same place as everyone else. Second, should an ENTp find himself in a completely new scenario, then he should immediately generate all sorts of scenarios to keep in his memory for analysis later. He should just keep generating new ideas, new possibilities, new scenarios, which is what he does best.
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