Freeza Under The Shower
Member
Except he never said that, nor has anyone else. but even so: science IS a game calling each other's models into question and if need be "J'accuse!" others of pseudo-science. That is how the game is played.
People in this thread seem to have real issues with the concept of 'models' and 'explanation'. I do not think the dominant model is convincing as a model of how depression works (how to explain it, with the hopes of increasing the rate of recovery), but that doesn't change the empirical phenomenon in any way or form. (meaning: the state of being depressed)
The only way that you can diagnose someone as depressed, is by a self-report. You can claim them to be from the outside as an experienced observer, but that method is unreliable and questionable from historical and ethical perspective. That is all that Karsticles is pointing to, and I really don't see how it's worth calling out as "wrong".
It would be nice to claim that we could look at blood values or fMRI scans and say within a 95% confidence level that someone is depressed, but that is simply not the case. These methods are not reliable to get observed data that is the actual empirical state and not just another measurement error. Particularly MRI scanning is wildly dependent on the physician interpreting the data.
There is great example of models not working or lacking explanation in Smile or Die by Barbara Ehrenreich. During her own months of breast cancer, she would be called upon to start drawing "her immune system battling the cancer cells". Which plently of women do.
Except it's not true. Chemotherapy wipes out the entire (well, a good deal of it anyway) immune system for a short while. It has absolutely nothing to do with battling a cancer that has moved beyond the immune system's control.
If fact, the white blood cells may be playing "for the other team", as they actively assist the cancer cells instead of killing them. (which is why they appear in large numbers at those sites, not because they are 'battling' them, but because they are helping them. At least, that's what Ehrenreich wrote back in 2009).
So, to summarize all this, why exactly would it be wrong to think that the evidence on the serotonin model is not all that convincing (at least not as far as drug testing and ongoing usage goes) and either more complex or other models show more promise for increasing the amount of people we could help by building better models?
And while Stet is banned: no, one does not require a degree to read books and acquire a level of understanding equal to or greater than people with the degree. The chances of this occurring are simply a lot lower than by simply following the curriculum. As far as the theoretical part goes anyway, where it concerns medicine.
People in this thread seem to have real issues with the concept of 'models' and 'explanation'. I do not think the dominant model is convincing as a model of how depression works (how to explain it, with the hopes of increasing the rate of recovery), but that doesn't change the empirical phenomenon in any way or form. (meaning: the state of being depressed)
The only way that you can diagnose someone as depressed, is by a self-report. You can claim them to be from the outside as an experienced observer, but that method is unreliable and questionable from historical and ethical perspective. That is all that Karsticles is pointing to, and I really don't see how it's worth calling out as "wrong".
It would be nice to claim that we could look at blood values or fMRI scans and say within a 95% confidence level that someone is depressed, but that is simply not the case. These methods are not reliable to get observed data that is the actual empirical state and not just another measurement error. Particularly MRI scanning is wildly dependent on the physician interpreting the data.
There is great example of models not working or lacking explanation in Smile or Die by Barbara Ehrenreich. During her own months of breast cancer, she would be called upon to start drawing "her immune system battling the cancer cells". Which plently of women do.
Except it's not true. Chemotherapy wipes out the entire (well, a good deal of it anyway) immune system for a short while. It has absolutely nothing to do with battling a cancer that has moved beyond the immune system's control.
If fact, the white blood cells may be playing "for the other team", as they actively assist the cancer cells instead of killing them. (which is why they appear in large numbers at those sites, not because they are 'battling' them, but because they are helping them. At least, that's what Ehrenreich wrote back in 2009).
So, to summarize all this, why exactly would it be wrong to think that the evidence on the serotonin model is not all that convincing (at least not as far as drug testing and ongoing usage goes) and either more complex or other models show more promise for increasing the amount of people we could help by building better models?
And while Stet is banned: no, one does not require a degree to read books and acquire a level of understanding equal to or greater than people with the degree. The chances of this occurring are simply a lot lower than by simply following the curriculum. As far as the theoretical part goes anyway, where it concerns medicine.