News for hackers. Stuff that matters.
Re:How percentile approximation works and why it's more usef... by michaelmdresser on Tuesday September 14, 2021 @04:28PM (#28530628)
Looking particularly at latency measurements, I found the "How NOT to Measure Latency" [1] talk very illuminating. It goes quite deep into discussing how percentiles can be used and abused for measurement.

[1]: https://www.infoq.com/presentations/latency-response-time/

Re:How percentile approximation works and why it's more usef... by lanstin on Tuesday September 14, 2021 @05:37PM (#28531708)
I watch this video once a year and send it to my co-workers whenever averages or medians shows up in a graph for public consumption.
Re:How percentile approximation works and why it's more usef... by peheje on Tuesday September 14, 2021 @05:45PM (#28531814)
Are the points written in a readable format anywhere?
Re:How percentile approximation works and why it's more usef... by severine on Tuesday September 14, 2021 @07:31PM (#28532976)
Re:How percentile approximation works and why it's more usef... by rattray on Tuesday September 14, 2021 @07:28PM (#28532947)
What are some of the ways percentiles can be abused?
Re:How percentile approximation works and why it's more usef... by alexanderdmitri on Tuesday September 14, 2021 @09:19PM (#28533947)
# Power Statement

!*Plowser*!* is in the 99th percentile of browsers by global user count!

# Fact Sheet

- !*Plowser*! is used by 2,050 people

- sample size of browsers is 10,000 (this includes toy apps on GitHub and almost all browsers in the sample have no record of active users)

- those using !*Plowser*! have no choice as the developing company $*DendralRot Inc*$ forces all its employees, contractors and users of their enterprise '?_shuiteware_?' (a name derived by mashing |-->shite|software|suite<--| into one word) to use their browser

- if we place the number of global browser users at a conservative 1,000,000,000, !*Plowser*! actually has 0.00000205% of users