zelo72
/
W3C_annual_most_used_survey_blocklist
mirror of https://github.com/Zelo72/W3C_annual_most_used_survey_blocklist
1
0
Fork 0
Code Issues Releases Wiki Activity

Update README.md

This commit is contained in:
Kees1958 2020-02-20 10:28:49 +01:00 committed by GitHub
parent 5f5fc5d07b
commit e5b0d1f5d8
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
README.md
View File

@ -19,7 +19,7 @@ Opera performed an analysis on the effectiveness of Easylist and reported in a b
another 60% had a 'hit rate' of less than 1% of all the traffic of the Opera browser users (having agreed to provide telemetry data).
Scientifics studies showe that large blocklist are (a little) more effective on 'long tail' websites (not in Alexa top 500.000), but
a little less effective on Alexa top top 500000 (websitws with more than 2000+ visitors per day), because common blocklist trigger
adblock walls and anti-adblock measures or even help to identify you (https://browserleaks.com/proxy).
adblock walls and anti-adblock measures or even help to identify you (see for instance https://browserleaks.com/proxy).
ALTERNATIVES
When you want a common use well maintained small blocklist, use most Disconnet common Ad-filter or Peter Low's blocklist (over 3000