That's been the success of the ideology: they never say what they actually mean, because what they mean has no basis in reality. Putting it as some sort of phobias is probably the closest to what they actually mean, but they hem and haw about it because it has zero evidence so they can't really say it out loud.
Exactly the same as someone pushing a horrible political agenda, knowing that saying it out loud would make them unable to ever attain the power to achieve it, because it literally is that. At its core is the fact that millions of people have essentially been cast off as not worthy of any support, which is as disgusting as an overt eugenic agenda. No one can face that truth, so they see nothing wrong because they choose to believe that none of this is happening.
Which all should be easy to counter, but reason doesn't affect beliefs.
The 'new' bit of the model is the removal of any interest in cause. Or any specificity, ie a move to genericisation.
Even in psychological or situational scenarios if you can imagine things were starting to roll along the lines of models that could be testable, then leading to more and more narrowed 'definitions' that could then be more testable.
Think for example of the chart where you have all the arrows pointing down going through it like a yes-no flow chart. So even if something like gambling could come in different flavours as what some might have could have a more social dimension, or situational aspect to it vs others having a more 'innate' issue then it could eventually be somewhat mapped as research moved on.
You could take an illness 'concept' that might have been impacted by eg social conditions and then approximately ascertain how significantly x condition leads to y outcome, for example if you thought about some of the old diseases that might relate to vitamin deficincies (and access to them if poor). Or cold damp housing/located in polluted areas for kids with asthma
And then end up with a new issue that was having x illness despite not having had said vitamin deficiency to narrow things down to another concept and then look at the causes perhaps by comparing whether for example there was a north-south divide or big differences related to socioeconomics, and then whether the driver was housing or overwork or other factors.
And if everyone in those situations wasn't getting ill then you could conclude that there might be other factors explaining it - be it genes, sex, or there was something more specific going on that not all those in said situation 'suffered'.
Quite a lot of conditions had got quite far in being understood.
Going by that type of method there would be stats approx showing that for covid those who were in crowded housing and doing manual jobs that they couldn't take time off from when they caught it explained for each of those x amount of differences in outcome.
The psychological factor side of things was always pretty weak tbh. I think in some illnesses they managed a little bit of descriptive research on the 'coping style' between a broad difference of functional vs emotional, by which they meant those who when hit with losing their job went to the pub or watched a film to cope with it first vs those who threw themselves into looking for jobs even though it was a saturday. But its full of assumptions really so not as amenable to proper testing. And there is argument for both because one is keeping the stress low so you seem cool at interview where the other might make you feel like you are solving the problem.
But... I guess it could include psychological situational factors like for example if you had a school using various behavioural pressure techniques to make kids feel they had to perform on an exam. Which could be tested by comparing different schools and eg short and long term exam results and also health outcomes.
And as they tested each then they would be able to actually more accurately layer these things on top of each other, ie it was based on controlling and testing each variable as much as any other part of science would.
Then came along the bps model with a big old circle. Saying 'don't bother finding the cause' and just pointing all the arrows for anything towards these circles, so nothing was ever tested for how much it contributes if anything for anyone.
And of course quite quickly they started subbing in their own narratives for the things that had quite a lot of data and research before, but now got wiped with a reframing of what the condition is - spoonfeeding the therapists ideas like personality instead of for example a model where they could narrow down different 'concepts' by looking at whether certain diets or medications causes improvements or worsening in different 'types' and so on.
The other thing I guess at the centre of it all was the pretence that their methods 'tested the effectiveness of their treatments' like the bps cbt. But not using the actual % effectiveness eg it improves a bit for 22% of people, but using that to suggest in anyone it didn't work for then it was the fault of the patient. When if it was a medication with that % improvement then you'd surely just try a different medication and say that one wasn't the fit for that patient/what they had.