I'm sorry; I didn't get to read your message.  It was blocked:

%EXCLAMATION-MARK-IN-BODY-ON-TECHNICAL-LIST: 4

(Obviously I need to upgrade, since you only actually used one, but maybe
my filter can extract them from the tone of prose.  ;-)

Cheers,
-- jra

----- Original Message -----
> From: "Marc Perkel" <supp...@junkemailfilter.com>
> To: mailop@mailop.org
> Sent: Wednesday, January 13, 2016 11:50:28 PM
> Subject: [mailop] I have developed a new method of blocking spam that's a     
> game changer

> OK - this might sound a little unbelievable but I'm not making this up.
> I want to introduce this because I'm hoping to release this soon and I
> want to create some buzz and anticipation. I'm not going to talk about
> the details yet but I hope to soon.
> 
> I just filed a provisional method patent on the method and tomorrow I'm
> going to be talking to some investor types about it. I'm also working on
> improving the methods I'm using, but this new trick is so accurate that
> 1 month ago if someone asked me if this level of accuracy was possible,
> I would have said - no way!
> 
> I'm calling it the Evolution Filter. The name is somewhat of a clue to
> how it works.
> 
> I'm seeing levels of accuracy getting really close to 100%. And it's
> especially good at actively detecting good email so false positives are
> almost not existent.
> 
> I've been filtering spam now for 15 years and been on this list for
> about that long and I'm not the kind of guy to just make this stuff up.
> 
> My intent right now is to just get enough IP protection so I can get a
> license fee from the big corps. I plane on giving it away free to the
> little guys. So that if you have less that 10,000 email accounts it's
> free. Hoping to get like 1 cent per email account per year from the big
> guys.
> 
> Although this idea is very unique, it's actually rather simple to
> implement. I'm using Redis and since SA is also using redis it should be
> trivial to add it to SA. My programming skills are good but not great.
> So the developers here should be able to do a significantly better job
> than me. It only took me an afternoon to implement the concept and it
> was already impressive with just 3 hours of learning.
> 
> This is not Bayesian or remotely similar to Bayesian. It does use a DB
> like Bayesian does and there is learning involved. But it's probably
> 100x better at detecting spam and 1000x better at detecting good email.
> And yes - it can actively detect good email.
> 
> My plan is that this technique is going to be so good that everyone is
> going to immediately implement it. And because of that the big boys will
> license it from me.
> 
> The accuracy is so good that it could put many spammers out of business.
> It can recognize spam more accurately that I can by hand looking at
> someone elses email.
> 
> If someone on this list wants to verify that I'm not just smoking the
> wrong kind of cigarettes I'm willing to let people test it on the
> condition that you report back here and tell everyone what your
> experience is.
> 
> If anyone has some feedback about how I can make this available to
> everyone and make a little something in licensing fees I'm definitely
> listening. I do want to release this to you all soon because you'll
> probably make it better than I have.
> 
> I have a little more info on Dvorak's blog.
> 
> http://www.dvorak.org/blog/2016/01/12/i-invented-a-new-way-to-filter-spam-thinking-about-a-patent/
> 
> 
> 
> --
> Marc Perkel - Sales/Support
> supp...@junkemailfilter.com
> http://www.junkemailfilter.com
> Junk Email Filter dot com
> 415-992-3400
> 
> 
> _______________________________________________
> mailop mailing list
> mailop@mailop.org
> https://chilli.nosignal.org/cgi-bin/mailman/listinfo/mailop

-- 
Jay R. Ashworth                  Baylink                       j...@baylink.com
Designer                     The Things I Think                       RFC 2100
Ashworth & Associates       http://www.bcp38.info          2000 Land Rover DII
St Petersburg FL USA      BCP38: Ask For It By Name!           +1 727 647 1274

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