Tag Archives: Predictify

Google users are digging around to get the probability of a Swine Flu pandemy.

- Interestingly, the results are very different with “swine flu predictions”. Predictify is above HubDub in both cases, you’ll notice. – External Links: – Google Trends – Google Insights for Search Previously: Swine Flu Prediction Markets

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HubDub (in blue) vs. Predictify (in red)

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Predictify’s 2008 US electoral map

Predictify’s 2008 US electoral map. $100,000 are at stake.

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Our play-money prediction exchanges should partner with non-profits.

CORRECTION: It’s Predictify who comes up with the $100k, not Rock The Vote. – Predictify (a prediction platform, not a prediction exchange) is partnering with Rock The Vote. As I understand it (BEWARE: the Press release is not that clear … Continue reading

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Predictify gets the X Groups concept right.

#1. X Groups Predictify is unveiling a two-way interaction between their prediction platform and the blogs out there. FROM THE BLOGS TO PREDICTIFY: Number one, there is now a customized prediction widget that bloggers can embed in their blog posts … Continue reading

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The “crowd” needs a good collective verdict mechanism. (At Midas Oracle, we value the market mechanisms, of course.)

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Why don’t prediction market people submit conference proposals for SXSW 2009?

Predictify did it. – #1 – #2 Why don’t you do it too? -

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Each week, Predictify will ask a VIP to submit a question for the crowd to answer.

Excellent idea. I told the CFTC that inputs from external, vertical experts are important. -

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Predictify is about building track records of human predictors.

Robert Scoble interviews their CTO. Video – - Predictify is not a prediction exchange. We think prediction markets are superior to polls and surveys, don’t we? With Predictify, the mechanism delivering the collective verdict is simplistic: it’s a poll —with … Continue reading

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Predictify v Pikum v Hubdub: Who will be top at the end of May?

Would it have been better if the contract tracked the cumulative usage, as opposed to the usage on a D day (here, the last day of May)? Or maybe the averaged (or cumulative) usage for all of May? -

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