So I’ve been running this small experiment in my garage for a few months now, just out of curiosity, and my results are all over the place. I was trying to see if I could observe a consistent pattern in how different materials degrade under the same conditions, but my data is so messy I’m not even sure what I’m looking at anymore. Has anyone else hit a wall where your raw observations just refuse to point in any clear direction?
Yeah I get that sticky moment when raw observations refuse to give a clean direction degradation messes with your head but it can also push you deeper.
Take each material as its own line and align the data by the same exposure window then see if a hidden trend appears in degradation once noise is reduced could that help?
Maybe you mean you are watching garage rot as a story not a chart in which case a smell or color change might feel more real than a tidy graph degradation shows up in many forms.
That framing feels like chasing a clean result perhaps the setup is noisy or biased and you are chasing certainty where there is none degradation is real but the path to it might be messy.
Perhaps the value is the variability itself not a single clear pattern degradation is a map of how materials respond under stress and that map can still be useful.
One idea from thinking about data is Bayesian updating where you adjust beliefs as more observations arrive and treat uncertainty without demanding a final verdict about degradation.