21. A method for improving a statistical message classifier comprising: receiving a message over a network communication interface; identifying by a processor executing instructions out of a memory a feature in the message that is associated with a junk count; testing the message with a first classifier by the processor, wherein the first classifier is a reliable junk classifier capable of making a first classification by the processor performing a calculation according to a logarithmic function including the junk count, wherein the first classifier outputs a value for the statistical message classifier for storage in the memory; in the event that the message is classifiable by the first classifier, updating the statistical message classifier stored in the memory according to the first classification by the processor performing the logarithmic calculation; in the event that the first classifier does not make the first classification, testing the message with a second classifier, wherein the second classifier is capable of making a second classification; and updating the statistical message classifier stored in the memory according to the second classification by the processor, wherein the statistical message classifier corresponds to a probability that the feature in the message is spam; identifying that the message is spam based on the probability that the feature in the message is spam; and quarantining the message.
21. A method for improving a statistical message classifier comprising: receiving a message over a network communication interface; identifying by a processor executing instructions out of a memory a feature in the message that is associated with a junk count; testing the message with a first classifier by the processor, wherein the first classifier is a reliable junk classifier capable of making a first classification by the processor performing a calculation according to a logarithmic function including the junk count, wherein the first classifier outputs a value for the statistical message classifier for storage in the memory; in the event that the message is classifiable by the first classifier, updating the statistical message classifier stored in the memory according to the first classification by the processor performing the logarithmic calculation; in the event that the first classifier does not make the first classification, testing the message with a second classifier, wherein the second classifier is capable of making a second classification; and updating the statistical message classifier stored in the memory according to the second classification by the processor, wherein the statistical message classifier corresponds to a probability that the feature in the message is spam; identifying that the message is spam based on the probability that the feature in the message is spam; and quarantining the message. 23. The method for improving a message classifier as recited in claim 21 , wherein the second classifier is a reliable junk classifier having a probability of erroneous classification of less than one percent.