Progress Reports fail at simple addition

Look at these 3 screenshots from the Progress Reports.

If you add up total ascent from my Saturday & Sunday workouts, you'll get 7,834 feet (3546 + 4288)

BUT, Garmin is crediting me with 7,833 feet.

Where did that 1 foot go??

I'm on track to surpass 500,000' of vertical gain in 1 year (at 399,273' currently). But seeing this makes me wonder, am I missing feet for my total? How is this simple addition error happening?

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trux 1 month ago in reply to Locked-N-Loaded +3
Locked-N-Loaded said:
Or how none of the other reported dozens of values... are rounded.

Most values are recorded with higher precision than displayed. Just an example from a random activity file:
- distance…
trux 1 month ago +1

Rounding. The original values can be for example 3545.6 and 4287.7 feet (rounded to 3546 and 4288) which gives the sum of 7833.3 (rounded to 7833)
trux 1 month ago in reply to Locked-N-Loaded +1

Locked-N-Loaded said:
I remember you.. I've been around the block with you before here. It's like you're the great defender of Garmin, but can't bring yourself to acknowledge issues. Just like I raised…

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0 Locked-N-Loaded 4 days ago in reply to flowstate

The issue has become....

In the progress reports Why do some metrics show decimals

In the progress reports Why do some metrics not (but apparently use them)

In & outside of the progress reports Why isn't there universal consistent & obvious usage

The amount of effort people are putting into dissecting files, changing readouts is the glaring proof that there is an issue here. There shouldn't be this much Sherlock Holmes going on.

0 trux 4 days ago in reply to Locked-N-Loaded

Locked-N-Loaded said:
In the progress reports Why do some metrics show decimals

Because at some of them it makes more sense than at others.

Locked-N-Loaded said:
Why isn't there universal consistent & obvious usage

Because it does not make much sense to use the same precision for all metrics. And it still makes sense to keep the raw data in the highest available precision, and use it for the aggregated results (to reduce rounding errors).