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Whispernumber.com begins by using a search engine to comb Internet message boards, published articles and chat rooms for whisper numbers. In addition, visitors to the site can add to the mix, putting in their own whisper numbers for the companies whose performance they follow closely. Whispernumber.com then posts the resulting numbers. In some cases, the site draws on a great many sources -- in the case of America Online, 254. In others, the whisper number can be drawn from a small handful of mentions.

The reason all this matters is that immediately after a company reports its earnings, the stock price tends to move. Missing projections by just pennies a share can mean the stock price plummets. Beating them by a lot can mean the stock goes up. A difference of even a few pennies per share matters, because the earnings reflect how close the company is to meeting its goals and whether it justifies the investment pros' expectations for the future.

The strange thing about the whisper numbers that float on the Web is that, in many cases, they are eerily accurate -- according to a paper published by three business professors in the Journal of Accounting & Economics that surveyed whisper numbers posted on Internet discussion boards between January, 1995 and May, 1997. The professors found that the Net rumors were actually more effective at predicting company earnings than analyst forecasts.

One explanation is that analyst estimates tend to be too low -- CEOs are worried about missing their numbers and downplay expectations -- and the whisper numbers are usually higher. (Susan Watts, one of the authors of the study, said that FirstCall, the information service that distributes analyst estimates, is already looking into adjusting the numbers for this downward bias). But even when the whisper numbers are lower than analysts' estimates, the study shows that they are still more accurate.

The unexpected accuracy of the whisper numbers is strange indeed -- a lot like random surveys of political discussion sites regularly predicting elections better than network news polls.

Especially interesting to investors are stocks that beat analysts' official expectations but fall short of the whisper number. Often these stocks go down when their earnings are announced even though the company meets the official projections. The accuracy of using the "whisper number" to predict this kind of move can vary wildly, but overall, according to Whispernumber.com's own studies, they fall almost 70 percent of the time.

Something definitely appears to be going on, but it's hard to put your finger on what. Paul Hauck, one of the founders of Whispernumber.com, says that some of the site's heaviest usage comes from computers at investment banks. It's also likely that many Web posters are repeating information they read somewhere else. And many of the whisper numbers found on the Net are likely to come from research and guesswork generated by individual investors.

"If self-directed investors want to enter whisper numbers, they've probably done their homework," says Hauck. "They are providing good financial opinions. They have the right to give opinions, because of their role in the financial markets."

This is an odd way to look at information. After all, whisper numbers are supposedly the "insider" numbers passed around Wall Street. The right to give an opinion doesn't seem to correspond with the accuracy of an earnings estimate.

But, on the other hand, the proof is ultimately in the results. If the whisper numbers collected from the Web work -- that is, if they are more accurate than analysts' estimates and can be used to predict how a company's stock will perform, does it really matter where they come from?

Clearly, the thought that information might be bubbling up from a mysterious well, a collection of Internet sources impossible to trace, leaves nobody feeling fully comfortable. Information coming from a few known sources is much less scary than a soup whose composition no one quite understands.

Even Thom Calandra, the editor-in-chief of Marketwatch, which references Whispernumber.com's figures, isn't entirely comfortable with the data. "Whisper numbers," says Callandra, "are nebulous in the first place. Since they're based on unofficial communications [from analysts], I'd generally feel more comfortable if a reporter got them from speaking to some analysts than from a Web site."

It is likely that a lot of readers will share Calandra's unease. It is easy, for instance, to envision a situation in which Whispernumber.com's results could be manipulated. While Whispernumber.com often has many sources -- "whispers" -- for technology company earnings, big industrial companies are discussed on the Web much less frequently; Whispernumber.com's whisper number for Ford, for instance, was compiled from just five whispers. Just a handful of people can change the projections for a multi-billion dollar corporation.

That said, the fact that Whispernumber.com's numbers might be susceptible to manipulation, or even the fact that nobody seems to know exactly where the information that goes into them originates, does not invalidate them. Actually, there is more hard evidence for their usefulness than for that of a great deal of hocus-pocus stock analysis.

"Investors are starting to see the information they get from analysts as biased and skewed," argues Hauck, explaining why users go to his site. "They're giving you what the company wants you to have."

He has a point. Investors are increasingly unwilling to take at face value information that comes from conventional sources and the usual suspects, and the numbers back their suspicions. And if Hauck's numbers work, who is to say that investors shouldn't use them?

Still, it's an unusual circumstance: We are used to trusting information whose provenance we know, and discarding information whose history we don't know. Yet here, investors have one source of information they do not trust -- the investment analysts -- and another that seems to work, but that no one quite understands. Consider it a metaphor for the expanding information economy. Like a sophisticated machine, as the information available to us gets richer and more complex, it paradoxically becomes both easier to deploy and harder to dissect.
salon.com | Oct. 26, 1999

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