To properly science this, we would need something directly measurable for personalized decompression, such as a high quality consumer submersible doppler, deployed into the wild and gathering realtime data for thousands of people's dives. Then gather all that in-water data together and look to see if there is something, anything in there that reliably and predictably links a measurable value to DCS occurrences. Someone please invest $50 million to make it happen
This line of reasoning does not strike me as correct. Like, I take your overall point that Buhlmann's algorithm is "just a model," and therefore can't be trusted to keep us safe. That point has some merit: it is a simplified model of our bodies, that is not capable of making perfect predictions about the world, since it has inherent flaws.
But, the idea that the model can only be useful if it is backed up by some empiric, scientifically measurable (and measured) quantity about the world, and in particular, a very large number of real-life in-water doppler measurements, seems a little absurd. Like, the thing about Buhlmann's model is that we have a great, great number of measurements about its effectiveness: many divers use it to make many dives every day, for the last several decades. When divers dive under the model's guidance, they're pretty safe.
So we know more about the effectiveness of the model, than we do about the explanatory power of any particular mechanism of its effectiveness. And SurfGF is nothing new, really, it's the same exact Buhlmann model, with the equation solved for a different variable.
I'm not trained in tech diving, and am just reading this thread because it's interesting. So, people who know better should correct me if I'm wrong here.