I'm not sure I understand what you are trying to share with us here ...
My interpretation is: raw is raw and if you could look at it, it would look ugly and all raw converters affect the raw differently, like a piece of digital clay, you can end up with a lovely vase or an ugly ashtray? Nothing earth startling for many of us.
That's what I suspected on first read of the OP's topic, but what I couldn't figure out is how this information is beneficial to photographers. I can see its importance to astronomers who want data captured millions of miles away unfettered by software.I realize CS3 ACR vs CS5 major changes to default noise suppression was employed that allowed more refined noise to appear when sharpening that basically turned CS3's mottled clay like texture to detail viewed at 100% (a few users complained about, me included) into a more evenly distributed fine dithered pattern. Of course as I've admitted in the past neither of these two texture appearances can be seen in a print but did see how it bothered pixel peepers viewing their images at 100%.
Just found out it's a Sony SLT A55v using a 16MP APS-C sensor. That explains the image quality. ImagesPlus is the converter used.Their website indicates its use in astronomy.
It doesn't try to pretend it created magic with terms like "recovery".
Pretend how? The data was there, a slider with a name showed it once set as desired.
Recovery means something was lost and got back.
Recovery means something was lost and got back. What is really happening is the data is there in linear. Either the gamma conversion or over-stretching has made it clip. Why not just give people gamma and stretch controls?
no it does not... in a typical raw converter "speak" recovery is not about "data is there"
Typical raw converter speak?
no it does not... in a typical raw converter "speak" recovery is not about "data is there" ( in a region with clipped raw channel(s) ), recovery is about postprocessing to paint (note that it is not a part of the raw conversion exactly) that part (where you have clipping) of an image using the data from unclipped raw channels and/or the data from surrounding areas in that image to make that area (where you have clipping) suitable/acceptable to your intended visual objective
I prefer terms like USM, wavelets smooth/sharpen, Van Cittert, Richardson-Lucy, Gaussian, Poisson, statistical difference, quantile, adaptive median. You know, terms that you can learn exactly what is going on in your picture processing.
everybody understands that software intended to be used by many and be a market leader, can't overload its UI w/ such things... if you want that, by all means go after astro software or the likes of rawtherapee... LR/ACR have quite consistent approach and that approach is not editing by numbers (like you can in the likes of RPP for example) and not overloading the endusers w/ rawtherapee like amount of sliders.
Anyway this is all off topic.
Yesterday I stumbled upon a new raw converter. The default conversion looked pretty good.