Not sure I follow you there. Are you suggesting that better terminology would help? Even if there were better names, it's a pretty hard to change words that are

Not sure I follow you there. Are you suggesting that better terminology would help? Even if there were better names, it's a pretty hard to change words that are so entrenched. At any rate, "p-value" is a made up, artificial word, certainly better than using a common existing word (such as "likelihood" or "significance") which would be even easier to misunderstand. The fundamental problem is that hypothesis testing happens within a whole theoretical framework, and the jargon refers to things well defined and understood within that framework. I think there is just no way of breaking it down further (though the implications and typical limitations of the research could maybe be communicated better).