haleba

@CA3LE
 
I'm just glad to get the formula--trying to figure that out was driving me nuts.
 
My particular connection issue is very sensitive to throughput with deep troughs, so the progress graph alone is sufficient to tell if the connection is shaky. Speedtest's new progress graph isn't as informative as it used to be. so this is a better alternative.
 
As far as alternative measurements, I'll have to ponder that one.  Trying to measure the evenness of a data stream with a single figure is tricky and a lot of the variance examples in Topic 31676 didn't seem to be measured by the variance figure very well except for the ones that approached being truly steady, where the variance was < 30%.
 
Once it goes past 30%, visually assessing the progress graph is more useful. One concept might be to give the number of graph minimum inflections with average *low* values: a lot of bottoms near zero would probably indicate "buffer city" for YouTube, so perhaps a "low average" of some sort could be an alternative measure of stream quality.
 
Thanks again for clearing this up.

Hi,
I've been having some issues with my internet service and have been doing a lot of speed testing, mainly using Bandwidth Place and Speedtest.
 
My primary issue is the stability of the connection for video streaming (YouTube/Hulu/Netflix...) where a "jittery", highly variable download is a good sign that video streams will choke and buffer frequently.
 
TMN looked like a good way to measure this because of the progress graphing, but the "middle variance" rating, which would be a great figure to judge the stability of the download just doesn't make sense: I can't figure out the algorithm that derives it.
 
I *have* read the two main forum posts that try to address this
 
Topic 31676: Middle Variance?
Topic 31961: What is "middle variance"? Is it better to be high or low?
 
From these I was able to figure out that your "Middle" speed value is the *average* of all the graphed speeds from 10%-90% download completion and can calculate that with Excel, but after hours looking at test data I plain had to give up on reproducing "middle variance".
 
The best concrete example is my test result
 
https://testmy.net/db/obDZ9nCxy
 
With an average of 3 MB/s but a huge peak of 12 MB/s, there is simply no way to find a factor/percentage equal to the stated middle variance of 165%, when the apparent variability is more like 400% relative to the average.
 
Once I saw this graph I stopped trying to figure this out and decided that the best way to understand what you're trying to convey is to see the actual formula that's used to compute this.
 
Thanks