@sprague and @QuantifiedBob:
I totally get what you are saying about trends.
And fantastic graph, @sprague, I should make one of those for the shower data I have. I have become convinced that when my sensor gets very wet (like after a shower), it dips until it gets dry. I did that test, pricking often, but I haven't made a nice graph like you have. I should.
So, occasionally, I see trends I just don't believe. For example, here's a weird 6-7am dip that I just don't believe. I hadn't eaten anything, or showered, or exercised or anything when this weird dip happened. When I saw that the CGM said 65, I was like, no way. I am never 65. So I calibrated it, and my meter said 95. I just don't believe that particular downtrend shown here:
(The spike is real. I ate a very carb-y breakfast around 9am) That weird kind of no-reason dip or spike doesn't happen very often. But it still makes me a bit nervous.
Then here's lunch today (I ate about 1:45ish). The general trend is that it rises and comes back down, but, by nearly 4pm it hasn't quite come back down to where it started. Is that real? Or is there a bit of drift? I'd have to prick my finger often to test that one, I guess. So that's the kind of thing I'd like to know, and I'm not sure it's accurate enough to tell.
Just in general, if I want to compare apples to chocolate, I do need to know that the amount it rises one day is equivalent to the amount it rises the next day. And I would like to compare that. I guess I'd have to run several trials pricking my finger often to be confident of that.
But, overall yes, I'm very happy with the information I'm getting.