Spam Hits Lowest Levels Since 2008 (Did You Notice?)
readwriteweb.com
readwriteweb.com
This is classic journalism, putting two related facts in the same sentence, but in such a way as to make comparison really really hard.
It's like saying that the average height of people world-wide is 1.8m, but in the US it's 6 foot. Huh?
So - for the record, 1 in 1.37 is 72.99%. So this sentence could, and should read;
"Worldwide spam is now down to 72.99% of all emails. In the United States, it accounts for 73.7% of all emails."
I'm guessing that .7% is well within their margin of error, meaning that the paragraph overall is somewhat redundant.
Then a bunch of graphs, with no Y-Axis scale showing vast up and down fluctuations further erode what credibility the author had left.
In short - a fluff piece devoid of the really interesting information.
The most egregious misuse of numbers lies in the claim [t]he geographic center of spammed accounts has also shifted from Russia to Saudi Arabia, which is justified by the fact that Saudi Arabia (population of around 25 million) has a spam rate of 82.2% against Russia's (pop. c. 140m) spam rate of 79.4%. It's been a while since I've seen such extreme analytical incompetence from a journalist.
Backlinks = higher SERP positioning = $$$
http://www.solipsys.co.uk/new/SpamGraphs.html?HN
and here:
http://www.solipsys.co.uk/new/SpamTable.html?HN
You can also read something about these graphs from when I posted about them:
(This is a time series graph of the count of my GMail spam folder since 2009, updated daily.)
I wish I'd had your foresight and set this up earlier, but now I'm glad I didn't let that prevent me from doing it anyway; it's always fun to play scientist. :)
Also how do you automate the counting and storing it in the spreadsheet? I think that's pretty damn cool.
As to how - cron job on my server querying GMail via IMAP. Source below. Manually copy and paste the resulting text file to a GDoc spreadsheet; use the Time Series widget to generate the chart.
require 'net/imap'
require 'date'
imap = Net::IMAP.new('imap.gmail.com',993,true)
imap.login('yourlogin','yourpwd')
msgs = imap.status("[Gmail]/Spam",["MESSAGES"])["MESSAGES"]
puts Date.today.to_s + "\t" + msgs.to_sAnother trend that I've noticed recently, and what seems is an example of a targeted attack, is an increase in brute force attacks on user accounts. This is likely anecdotal though, if something works once for spammers, they are pretty relentless at trying to attack it again.
I do find it interesting to watch these trends shift, and to have to respond to new methods. It's a great, big, penis-enlargement-pill-fueled, game of cat and mouse to me.
With that in mind it makes sense that the levels are dropping... spam filters have gotten good enough to make spamming not worth the trouble in terms of effort/return (especially given the increased risk of a successful anti-spam lawsuit against you as a spammer), so the levels drop, mostly invisibly to the users who weren't seeing the majority of the spam in the first place.