Twin studies assume a model of environmental variation which cannot be evidenced, because the relevant target of study (a human being in its environment) cannot be experimented on to evidence anything. Twin studies are not RCTs (which are themselves the minimum an experiment needs to be to count as science).
Indeed, the assumed model of the interaction between genes and the environment is *plainly false* (namely, that "equality" between environments exists and that it has linear non-feedback, non-cyclical effects).
Twin studies on star signs would likewise produce as compelling evidence that star signs cause personality. (Can you see why that would be?)
Science requires such experiments take place. No amount of post-hoc analysis of correlation can produce a causal explanation. One must control causes to do so.
Hence, much of this abuse of statistics is unreporducible pseudoscience; it is well known to be outside these fields by anyone with any credible understanding of statistics.
Every chemist will defend physics; and every chemist, biology. And every biologist neuroscience.
Can you cite me anythihg other than the abject horror of real scientists outside these fields on reading their reports?
I'm sorry to break the news: this is peudoscience in the tradiiton of pseudoscience which was invented by psychology's repurposing of statistics for post-hoc analysis of correlation on human data (ie., the most complex systems known to exist) which fails even basic tests of scientific credibility.
Complex systems resist study by the use of the scientific method, and require the best minds in modelling and statistics to even produce "rule of thumb" models (eg., consider the climate).
What we have in heritability, psychometric, etc. research is loons studying the climate (ie., analogously, humans) by putting thermometer readings into GUI stats software and publishing the results.
They're fools. Neo-homeopaths, whose lab coat is "statistics"/.