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All the sites I have looked at only show the high, low, and average estimates.

With a bit of fancy yet bad math you could come up with a bad estimate the standard deviation from just those three figures.
Big gap means bigger SD, and if either high or low is unusually far from the average you could impute that it's an outlier, even giving an omen of skew.

Given that this approach is likely to be relatively weak statistically (just a hunch), simple [(high-low)/midpoint] might be a proxy that does almost as well.

One nuisance of this problem is that the meaning of "next quarter" changes as time flows, as do the estimates.
On what date would you look at the ever-changing and make your investment?

Some firms are certainly hard to forecast.
At the start of April it's natural to have serious doubts about what Q2 will bring, but a wide range of guesses about what Q1 managed, despite being over, would be a sign of true uncertainty about the business.
And that's still several weeks before the actual Q1 results are reported.

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