Performing A Binary Search To Find/isolate The Cause Of Health Problems.
This was an idea I had the other day as I usually try to keep my biohacking to single variable modification but it takes too long.
My background is compsci so I thought this would help others that don’t have a similar background.
Right now I’m taking a number of supplements in the morning.
Usually an hour or two after I take them I feel sick. I don’t know what is causing it.
Removing one at a time would take too long… so I would like to find the solution faster.
The trick is to do a binary search. It requires log(N) comparisons vs N …
For example if you have 10 pills you take every morning, you can find the problem in at most 4 steps (AKA log(10)) vs 10 steps… which is much faster.
4 vs 10 days is WIN.
Basically you first start off by splitting the input set into two groups. Let’s label them 0-9
0 1 2 3 4 5 6 7 8 9
would be the full set. This is what is making you sick.
0 1 2 3 4
5 6 7 8 9
On day 1 you take pills 0-4 … if that makes you sick you split that again.
0 1 2
You then try 0-2.
If that does NOT make you sick then you try 3-4.
If that DOES make you sick you split that again.
If 3 makes you sick, you have identified a cause.
However, you still need to test the other batch because you don’t’ want to fall victim to the single cause fallacy.
But it PROBABLY is a single cause so you take 5-9 and find that this doesn’t make you sick.
Now you try one final attempt at ALL the pills WITHOUT 3 and see if that makes you feel ok.
If that works you’ve isolated the problem much faster.