Personally I’m a fan of (good) LENR theories. Many will say they are at the current state of understanding neither necessary nor sufficient. True. But when scientists have a mass of contradictory experimental evidence theory (or hypothesis) of a more or less tenuous sort is what helps them to make sense of it. The interplay between new hypothesis and new experiment, with each driving the other, is the cycle that drives scientific progress. The lack of hypotheses with any traction is properly one of the things that makes most scientists view the LENR experimental corpus as likely not indicating anything real. Anomalies are normal, because mistakes happen – both systemic and individual. Anomalies with an interesting pattern that drives a hypothesis in some detail are much more worthwhile and the tentative hypotheses which match the patterns matter even when they are likely only part-true if that.
Abd here, recently, suggested Takahashi’s TSC theory (use this paper as a way into 4D/TSC theory, his central idea) as an interesting possibility. I agree. It ticks the above boxes as trying to explain patterns in evidence and making predictions. So I’ll first summarise what it is, and then relate this to the title.