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It's still useful though. We create models, and then when we find more data points on tidally locked planets, we can compare those points to these models. For example, we may be soon able to determine atmospheric composition of both sides of the planet thanks to different spectrograph data available from our perspective. These models can tell us something about the concentration of gasses in those atmospheres at different times. Then those models become testable models.

I don't understand this anger about having untestable models. How would science progress without having theoretical possibilities before testable possibilities?

Indeed, it's though all the false starts that one gathers subject knowledge. All the people who build "untestable models" for their PhDs have at least learned something about atmospheric modelling, what numerical approaches work and what approaches work less well.

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