Milson
Milsonian
Supporter
- 3,376
- 263
To explain what I am asking without numbers.If you’re serious, yes I’ll pass along the question as written because I don’t understand it.
Let's take the top graphs as the effectiveness on @MHippie stomach pain vs how much of his HSC strain Squirt he smoked. Let's further suggest we are trying to figure out how much the beta caryophyllene matters vs just the thc.
We could model it like above. X axis is how much he smoked, Y axis is relief. He gets a lot of relief up to a point at which point he gets diminishing returns. I hope the graphs make sense. But already you can see how you would have complications because you would have to figure out how much thc matters vs beta caryophyllene matters and figure out the interaction effect between the two. In this case you can see how I made beta caryophyllene really important up to a point at which point you get to diminishing returns faster than with thc. Just making this up.
Figuring out the weights is done via running regressionary analysis on a data set (details are not important other than more data means a better model of the reality of the effect).
There are over five hundred chemicals that could play together in cannabis. Minimum.
So like, the above kind of analysis can work really well for a lot of problems (spam filters are a great example where it gives a piece of mail a spam score with weights using a process like i outline above). But holy crap does cannabis, with its rich complexity, present some hurdles to full understanding.
If there is interest i can expand further in my own thread. I don't want to hijack Burnzy any more than I already have.
Last edited: