That's fine. As long as the sensor is available the user can expose it. I think this is a pretty cool idea, and would yield more accurate measurements than estimating based off of latitude and cloud coverage alone. Albeit it'll all but guarantee tan lines.
Why not just split the assets and the code, have the code reference a version of the assets, which are on a separate server and only fetched when needed?
These units seem _incredibly_ low to me. Your skin can generate almost 3000 IU in just 15 minutes on the right day. Many doctors even recommend treatments of 150,000 IU or more, in one go to correct deficiencies (do not do attempt without a doctor's recommendation and supervision).
I do not doubt your experience, but it seems incredible to me that just a 5000 IU supplement gave you heart palpitations. Then again, I've also read many reports about incorrectly labeled products (e.g. milk, supplements, etc.) which contained far more D2 or D3 than what was written on the tin, causing toxicity.
I mean... if you go that route then I would say Kotlin isn't really ready to be used as a production language in most places due to the severe lack of tooling, especially when it comes to things like static analysis. Sure ktlint is there, but the rules library is lacking.
So from that perspective, Kotlin is playing catch-up.
> since otherwise you can tell where a cable is broken or being tampered with by sending light down the cable and seeing how long before light reflects off the broken bit and comes back to the end.
IIRC at BSidesLV last year there was a vendor selling optical splicing modules which were rather difficult to detect using this technique.
There's the theory of Vitamin-D deficiency. It would make some sense given NYC's climate and time of year. In LA, people likely are exposed to the sun year round. It would be interesting to see if other respiratory illnesses exhibit a similar pattern between these two cities, as I understand Vitamin-D levels have an affect those as well.
But also, NYC is considerably more dense, so diseases spread far more rapidly. Especially so considering heavy public transit use versus, what I would say is, extreme overuse of personal vehicles.