4 ms·
Here is a reason to believe that the data is biased. If you look at any county in California - you’d see a large drop on the exact date that the statewide shelt
by tomerico 7y ago
Here is a reason to believe that the data is biased. If you look at any county in California - you’d see a large drop on the exact date that the statewide shelter in place was ordered. This is obviously before any of the effects of isolation would manifest themselves.
The reason is likely due to larger amount of testing done due to the panic, that is not properly accounted for in their algorithm.
- madsmith 7y agoI whole heartedly agree. Kinsa’s data immediately shouts out that there’s a non-intuitive behavior being demonstrated. I would also make an argument that individuals who invest in smart thermometers would be more concerned about illness than the typical population and thus highly responsive to governmental declarations of states emergency. I think it’s really hard and misleading to look at this data and make any larger conclusions.
- 01100011 7y agoFor what it's worth, some populations began isolating before the shelter in place order. I went to Ranch 99 on 2/28 and panic buying was already in full swing. Lots of masks. I think the Chinese community was very proactive and took action early. It left an impression on me and I started WFH full time. I think that was the day they announced the second community infection in Santa Clara county.
- deleted 7y ago[deleted]
- empath75 7y agoPeople started staying at home well before that.
- darkarmani 7y agoIt's certainly biased. The question is if it is still useful after accounting for bias. People that use these thermometers probably skew towards being more worried about the virus. They probably isolated and were more careful days before the shelter in place was ordered.