Hi, Does anyone know a good way of estimating how much spam is being delivered to mailboxes?
I suppose the most reliable way would be to perform a random sampling of delivered messages, and inspect them personally. I've thought about measuring the correlation between delivery stats, and rejection stats on the assumption that all our rejections are true rejection. I suppose such a technique would assume that our detection rate was relatively stable, and independent of spam source. I suppose that a high correlation between the number of messages rejected and the number accepted would mean that a high proportion of delivered messages were spam, and a low correlation would mean that a small proportion of delivered messages were spam. But, would knowing the correlation coefficient and sample size enable me to estimate the actual number of spam messages delivered? -- Ian Eiloart IT Services, University of Sussex x3148 -- ## List details at http://lists.exim.org/mailman/listinfo/exim-users ## Exim details at http://www.exim.org/ ## Please use the Wiki with this list - http://wiki.exim.org/
