Thanks for the advice. Perhaps I didn't communicate this well enough. If I had a single variable that I wanted to test to see what outputs are affected, I can understand your approach. However, I'm looking to identify which inputs generate a given output. There are far too many inputs to test each one. (20+ food groups, possible 40+ supplements, numbers of sequences of life events, etc). Moving that many items independently would take months to years of time to isolate.
I'm first looking to identify what moves the needle on a given outcome in aggregate, so that I can then narrow down the potential item from that aggregate set of items. So my goal is to track everything that I can to see if I can identify which of the many inputs moves the needle, then I can drill into refining in more detail.
If it helps, here is the underlying use case, I have an autoimmune thyroiditis condition. Theoretically, this is often caused by leaky gut. However, after reducing my food choices to next to nothing for over a month, I have not found a correlation.
I have 4 possible ways of identifying the spike of associated autoimmune response. (This isn't a continuous thing that I can measure a small but noticeable decline and work from there - it spikes and goes back to normal.) A heart rate monitor is a moderate proxy for the hyperthyroid adrenaline spikes that seem to occur, but it isn't a matter that I eat a food and 30 minutes or 2 hours later, the heart rate spikes. So I need something that tracks things a bit longer. I'm also trying CGM to see if the lectins in some foods may cause abnormal glucose responses as is implied by the Perfect Health Diet test protocol. This one is mostly grasping. I can also indirectly measure vagal distress (what I believe to be the most consistent symptom) and I can directly measure when I start seeing double.
Now there is the possibility that this autoimmune issue is not a leaky gut issue at all given the low level of ability to get a confirmed correlation after a month of radically limited diet. I'm also not finding a direct correlation between inflammation and autoimmune response. So my goal is to capture as much of my life as possible, along with the 4 measurements that may indicate that an autoimmune spike is in progress and then look back 2-3 days worth of data over multiple of these and see what was happening during that time period.
Then once I get something that is somewhat more repeatable, I can start isolating the inputs identified within the preceding 2-3 days worth. If this isn't going to work, I'd appreciate any suggestions on how to not go through this with brute force sequential testing. The probability of a quick resolution has already come and gone by my following all of the suggestions of my alternative MD for an extended period of time with no success.