Email spam filters are commonly trained on a sample of recent spam and ham (non-spam) messages. We investigate the effect on filter performance of using samples of spam and ham messages sent months before those to be filtered. Our results show that filter performance deteriorates with the overall age of spam and ham samples, but at different rates. Spam and ham samples of different ages may be mixed to advantage, provided temporal cues are elided. The experiments on both corpora show that performance deteriorates faster when using only the body of messages than when using the whole message or headers only.