However, to make an informed choice between spam filters requires considerably more detail.īogofilter has its roots in “ A Plan for Spam,” a 2002 essay by English developer Paul Graham. The more suspect words contained in an email, the greater the chances it is spam. More specifically, both apply Bayes’ work by collecting words and assigning a probability that each word indicates spam. To call them Bayesian means nothing more than their structure is based on the the 18th century work of Thomas Bayes in statistics and probability.
In fact, learning that Bogofilter and SpamAssassin are “Bayesian” is useless for choosing between them. Instead, most users simply nod solemnly when they read that both involve “Bayesian filtering.” Most of us – including many who use the phrase – have no idea what Bayesian filtering is, but it sounds scientific and reassures us that either choice is acceptable. However, what is less often discussed is which filter is the best to use in which circumstances. Although a few other choices (e.g., SpamBayes) are available, when an email reader offers a plugin, it is almost always for either Bogofilter or SpamAssassin. Other choices, like DSPAM, are no longer in development.
These days, the choice of spam filters comes down to Bogofilter and SpamAssassin.
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