Thank you for the detailed explanation. Bookmarked it.If the RAW processing pipeline includes a color filter array (CFA), there has to be interpolation (guesswork) in reconstructing the image. The more image data there is to work with, the fewer errors there will be. Those errors are typically so small that they aren’t immediately apparent, but upon closer inspection various errors and artifacts become obvious - both in color and detail.
Below is a comparison of the 16MP X-T1 sensor vs. the (downscaled to 16MP) X-T5 sensor and then both viewed at 200% to exaggerate the situation - all the obvious false detail/artifacts that can easily be seen in the X-T1 image text is due to demosaicing errors - processing guesswork that failed. With 40MP of image detail to work with, the X-T5 image contains fewer errors, and while there is a loss of fine detail (resolution) when downscaled, the more faithful detail rendering is still retained, producing a better looking image at 16MP despite its resolution being significantly reduced. Some will say that, hey, you’re pixel peeping to see those errors, and they would be right, but it’s those low level errors that get exaggerated with sloppy sharpening …“worms” and ugly foliage especially, that can easily be noticed at normal viewing sizes, and that are largely absent with the 40MP sensor - even with Adobe’s less than stellar standard X-Trans demosaicing.
While I never look at images at 200%, the "ugly foliage" phenomenon is observable on the OOC JPEGs. Demosaicing RAF in darktable with a proper algorithm, properly configured, helps a lot.