08.10.19
Gemini version available ♊︎Techrights Coding Projects: Making the Web Light Again
A boatload of bytes that serve no purpose at all (99% of all the traffic sent from some Web sites)
Summary: Ongoing technical projects that improve access to information and better organise credible information preceded by a depressing overview regarding the health of the Web (it’s unbelievably bloated)
OVER the past few months (since spring) we’ve been working hard on coding automation and improving the back end in various ways. More than 100 hours were spent on this and it puts us in a better position to grow in the long run and also improve uptime. Last year we left behind most US/USPTO coverage to better focus on the European Patent Office (EPO) and GNU/Linux — a subject neglected here for nearly half a decade (more so after we had begun coverage of EPO scandals).
As readers may have noticed, in recent months we were able to produce more daily links (and more per day). About a month ago we reduced the volume of political coverage in these links. Journalism is waning and the quality of reporting — not to mention sites — is rapidly declining.
“As readers may have noticed, in recent months we were able to produce more daily links (and more per day).”To quote one of our guys, “looking at the insides of today’s web sites has been one of the most depressing things I have experienced in recent decades. I underestimated the cruft in an earlier message. Probably 95% of the bytes transmitted between client and server have nothing to do with content. That’s a truly rotten infrastructure upon which society is tottering.”
We typically gather and curate news using RSS feed readers. These keep sites light and tidy. They help us survey the news without wrestling with clickbait, ads, and spam. It’s the only way to keep up with quality while leaving out cruft and FUD (and Microsoft's googlebombing). A huge amount of effort goes into this and it takes a lot of time. It’s all done manually.
“We typically gather and curate news using RSS feed readers. These keep sites light and tidy. They help us survey the news without wrestling with clickbait, ads, and spam.”“I’ve been letting wget below run while I am mostly outside painting part of the house,” said that guy, having chosen to survey/assess the above-stated problem. “It turns out that the idea that 95% of what web severs send is crap was too optimistic. I spidered the latest URL from each one of the unique sites sent in the links from January through July and measured the raw size for the individual pages and their prerequisites. Each article, including any duds and 404 messages, averaged 42 objects [3] per article. The median, however, was 22 objects. Many had hundreds of objects, not counting cookies or scripts that call in scripts.
“I measured disk space for each article, then I ran lynx over the same URLs to get the approximate size of the content. If one counts everything as content then the lynx output is on average 1% the size of the raw material. If I estimate that only 75% or 50% of the text rendered is actual content then that number obviously goes down proportionally.
“I suppose that means that 99% of the electricity used to push those bits around is wasted as well. By extension, it could also mean that 99% of the greenhouse gases produced by that electricity is produced for no reason.
“The results are not scientifically sound but satisfy my curiosity on the topic, for now.
“Eliminating the dud URLs will produce a much higher object count.
“The results are not scientifically sound but satisfy my curiosity on the topic, for now.”
–Anonymous“Using more mainstream sites and fewer tech blogs will drive up the article sizes greatly.
“The work is not peer reviewed or even properly planned. I just tried some spur of the minute checks on article sizes in the first way I could think of,” said the guy. We covered this subject before in relation to JavaScript bloat and sites' simplicity, but here we have actual numbers to present.
“The numbers depend on the quality of the data,” the guy added, “that is to say the selection of links and the culling the results of 404′s, paywall messages, and cookie warnings and so on.
“As mentioned I just took the latest link from each of the sites I have bookmarked this year. That skews it towards lean tech blogs. Though some publishers which should know very much better are real pigs:
$ wget --continue --page-requisites --timeout=30 --directory-prefix=./test.a/ https://www.technologyreview.com/s/614079/what-is-geoengineering-and-why-should-you-care-climate-change-harvard/ . . . $ lynx --dump https://www.technologyreview.com/s/614079/what-is-geoengineering-and-why-should-you-care-climate-change-harvard/ > test.b $ du -bs ./test.? 2485779 ./test.a 35109 ./test.b
“Trimming some of the lines of cruft from the text version for that article, I get close to two orders of magnitude difference between the original edition versus the trimmed text edition:
$ du -bs ./test.? 2485779 ./test.a 35109 ./test.b 27147 ./test.c
“Also the trimmed text edition is close to 75% the size of the automated text edition. So, at least for that article, the guess of 75% content may be about right. However, given the quick and dirty approach, of this survey, not much can be said conclusively except 1) there is a lot of waste, 2) there is an opportunity for someone to do an easy piece of research.”
Based on links from 2019-08-08 and 2019-08-09, we get one set of results (extracted all URLs saved from January 2019 through July 2019; http and https only, eliminated PDF and other links to obviously non-html material). Technical appendices and footnotes are below for those wishing to explore further and reproduce. █
+ this only retrieves the first layer of javascript, far from all of it
+ some site gave wget trouble, should have fiddled the agent string,
--user-agent=""
+ too many sites respond without proper HTTP response headers,
slows collection down intolerably
+ the pages themselves often contain many dead links
+ serial fetching is slow and because the sites are unique
$ find . -mindepth 1 -maxdepth 1 -type d -print | wc -l
91
$ find . -mindepth 1 -type f -print | wc -l
4171
which is an average of 78 objects per "article"
+ some sites were tech blogs with lean, hand-crafted HTML,
mainstream sites are much heavier,
so the above average is skewed towards being too light
Quantity and size of objects associated with articles,
does not count cookies nor secondary scripts:
$ find . -mindepth 1 -type f -printf '%s\t%p\n' \
| sort -k1,1n -k2,2 \
| awk '$1>10{
sum+=$1;
c++;
s[c]=$1;
n[c]=$2
}
END{
printf "%10s\t%10s\n","Bytes","Measurement";
printf "%10d\tSMALLEST\n",s[1];
for (i in s){
if(i==int(c/2)){
printf "%10d\tMEDIAN SIZE\n",s[i];
}
};
printf "%10d\tLARGEST\n",s[c];
printf "%10d\tAVG SIZE\n",sum/c;
printf "%10d\tCOUNT\n",c;
}'
Bytes File Size
13 SMALLEST
10056 MEDIAN SIZE
32035328 LARGEST
53643 AVG SIZE
38164 COUNT
Overall article size [1] including only the first layer of scripts,
Bytes Article Size
8442 SMALLEST
995476 MEDIAN
61097209 LARGEST
2319854 AVG
921 COUNT
Estimated content [2] size including links, headers, navigation text, etc:
+ deleted files with errors or warnings,
probably a mistake as that skews the results for lynx higher
Bytes Article Size
929 SMALLEST
18782 MEDIAN
244311 LARGEST
23997 AVG
889 COUNT
+ lynx returns all text within the document not just the main content,
at 75% content the figures are more realistic for some sites:
Bytes Measurement
697 SMALLEST
14087 MEDIAN
183233 LARGEST
17998 AVG
889 COUNT
at 50% content the figures are more realistic for other sites:
465 SMALLEST
9391 MEDIAN
122156 LARGEST
11999 AVG
889 COUNT
$ du -bs * \
| sort -k1,1n -k2,2 \
| awk '$2!="l" && $1 {
c++;
s[c]=$1;
n[c]=$2;
sum+=$1
}
END {
for (i in s){
if(i==int(c/2)){
m=i
};
printf "% 10d\t%s\n", s[i],n[i]
};
printf "% 10s\tArticle Size\n","Bytes";
printf "% 10d\tSMALLEST %s\n",s[1],n[1];
printf "% 10d\tMEDIAN %s\n",s[m],n[m];
printf "% 10d\tLARGEST %s\n",s[c],n[c];
printf "% 10d\tAVG\n", sum/c;
printf "% 10d\tCOUNT\n",c;
}' OFS=$'\t'
[1] $ time bash -c 'count=0; shuf l \ | while read u; do echo $u; wget --continue --page-requisites --timeout=30 "$u" & echo $((count++)); if ((count % 5 == 0)); then wait; fi; done;'
[2] $ count=0; time for i in $(cat l); do echo;echo $i; lynx -dump "$i" > $count; echo $((count++)); done;
[3] $ find . -mindepth 1 -maxdepth 1 -type d -print | wc -l 921 $ find . -mindepth 1 -type f -print | wc -l 38249
[4]
$ find . -mindepth 1 -type f -print \
| awk '{sub("\./","");sub("/.*","");print;}' | uniq -c | sort -k1,1n
-k2,2 | awk '$1{c++;s[c]=$1;sum+=$1;} END{for(i in s){if(i ==
int(c/2)){m=s[i];}}; print "MEDIAN: ",m; print "AVG", sum/c; print
"Quantity",c; }'
[5]
$ find . -mindepth 1 -type f -name '*.js' -exec du -sh {} \; | sort
-k1,1rh | head
16M ./www.icij.org/app/themes/icij/dist/scripts/main_8707d181.js
3.4M
./europeanconservative.com/wp-content/themes/Generations/assets/scripts/fontawesome-all.min.js
1.8M ./www.9news.com.au/assets/main.f7ba1448.js
1.8M
./www.technologyreview.com/_next/static/chunks/commons.7eed6fd0fd49f117e780.js
1.8M ./www.thetimes.co.uk/d/js/app-7a9b7f4da3.js
1.5M ./www.crossfit.com/main.997a9d1e71cdc5056c64.js
1.4M
./www.icann.org/assets/application-4366ce9f0552171ee2c82c9421d286b7ae8141d4c034a005c1ac3d7409eb118b.js
1.3M
./www.digitalhealth.net/wp-content/plugins/event-espresso-core-reg/assets/dist/ee-vendor.e12aca2f149e71e409e8.dist.js
1.2M
./www.fresnobee.com/wps/build/webpack/videoStory.bundle-69dae9d5d577db8a7bb4.js
1.2M ./www.ft.lk/assets/libs/angular/angular/angular.js
[6] About page bloat, one can pick just about any page and find from one to close to two orders of magnitude difference between the lynx dump and the full web page. For example,
$ wget --continue --page-requisites --timeout=30 \
--directory-prefix=./test.a/ \
https://www.newsweek.com/saudi-uae-war-themselves-yemen-1453371
. . .
$ lynx --dump \
https://www.newsweek.com/saudi-uae-war-themselves-yemen-1453371 \
> test.b
$ du -bs ./test.?
250793 ./test.a
15385 ./test.b
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