fMRIs are also pseudoscience. Again, just associative models of blood flow. Causal models do not compress measurement data. There are an infinite number of way

fMRIs are also pseudoscience. Again, just associative models of blood flow. Causal models do not compress measurement data. There are an infinite number of ways of measuring any phenomena (consider, all possible devices which measure temperature) -- in this sense, they non-uniquely compress "all possible data about the phenomena across all possible measurement systems". Ie., even with "all possible data" there are an infinite number of lossess models of it. (But we would not even want a lossless model, since "all possible data" includes all measurement systems which have their own dynamics). When we have an explanatory model of heat (as the kinetics of molecules), we have a textbook of explanations which we use (via reasoning, imagination, etc.) to write down whole families of causal models. So when creating a new device we can determine what it's behaviour will be. This has nothing to do with a compression of measurement data. We do not, nor ever have, nor even cloud, determine the causal structure of reality using compression of measurements. Measurement devices are physical systems whose properties are causally determined by target devices -- how they are determined is not "in the data". Absent knowing this, ie., science, the data is just a description of the measurement system -- not the target.