All kinds of big claims have been made about the potential of Big Data. It seems it can predict the course of an election, map the spread of flu, even help police to solve crimes.
But here is the biggest claim so far - crunching through the big data of history can help us spot patterns and work out where the world is heading next.
That is what Kalev Leetaru, a data scientist at Washington's Georgetown University, believes may be possible. Using a tool called Google Big Query, designed for interrogating vast collections of data, he has been sifting through a database of events stretching back to 1979.
This is GDELT, which has collected media reports of events from innumerable sources in more than 100 languages for 35 years. "What we did here," Leetaru explains, "was use this tool to shove in a quarter of a billion records and use this massive piece of software to just in a few minutes sift out the patterns in this data."
What he says he found was complex patterns of events repeating themselves over the years. He has looked at recent events in Egypt , in Ukraine, in Lebanon and tried to draw common patterns.
"If you take the last two months of what's happened in Egypt for example, and you search every country's history for the periods in the past that are most similar to right now, and then you look at what happened after all those periods, that gives you a pretty good estimate of what happens next."
The graphs he draws in a blogpost about this project chart the volume of media interest in various events. Given the modern media's short attention span, this seems like a crude and unreliable way of examining history but Leetaru insists the underlying patterns are more complex than we might assume.
He points to the continued ups and downs in coverage of Ukraine as one example: "You don't see this traditional burst of interest and then tailing off, you see this complex up-and-down movement over the two months after the protests started and it turns out this predicts that entire complex up-and-down cycle."
In other words, if you look deep beneath the surface of the output of thousands of journalists, they may indeed be providing us with the first sketch of history.
This project does sound like science fiction and indeed Leetaru talks of Isaac Asimov's writings about psychohistory as an inspiration. But the idea that computing power and artificial intelligence can now start replacing some intellectual disciplines as well as routine physical work will no doubt be greeted with anxiety as well as scepticism.
Leetaru says historians should see this kind of computational tool as just another technique amongst many rather than a threat to their professional expertise. In any case, they may look at the patchy record of big data in areas like election forecasting and flu trends and decide their days sifting through dusty archives are not numbered after all.