Tag Archives: forecasts

InTrade is not predictive, says notable financial journalist. — [SCREENSHOT]

For info, here’s the Midas Oracle feed at Twitter. I publish there plenty of prediction market news that don’t appear on this blog.

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Tech predictions for the ones who believe in them — [VIDEO]

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Keeping score of experts’ forecasts — [VIDEO]

Philip Tetlock:

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How many predictions is the The Good Judgment Team’s system currently handling? — [NEWS]

20,000.

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Though not a legal, registered financial advisor, Justin Wolfers hands out financial ‘advice’ to anyone who is foolish enough to listen. — [SCREENSHOT]

More. – “A financial adviser or stock broker should be licensed to provide any consultation on investment in securities.” -

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Philip Tetlock’s forecasting project is now open to non-US participants. — [UPDATE]

IMPORTANT: IARPA has removed the US citizenship requirement for survey participants. – Philip E. Tetlock et al.: Prediction markets can harness the “wisdom of crowds” to solve problems, develop products, and make forecasts. These systems typically treat collective intelligence as … Continue reading

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Foxes are better predictors than hedgehogs. OK, BUT WHY…????… — [QUESTION]

Here’s a question to my readers. Do you believe in intuition, and do you think that that’s the reason foxes are (a bit) better at forecasting than hedgehogs?

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Once again, Robin Hanson exaggerates the usefulness of the prediction markets. — [ANALYSIS]

InTrade’s prediction markets on the recent Arab revolutions didn’t bring anything interesting in our understanding of the Middle East. Robin Hanson’s insistence is absurd.

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FORECASTING THE ECONOMY: Keynesian Economics vs. Austrian Economics — [VIDEO]

The 2 videos are designed to convince you that the Austrians’ economic predictions are more accurate. The first video has an intro in French, sorry for that, but the rest of the video is in English (with French subtitles). Keynesians’ … Continue reading

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Machine learning is using a computer to recognize patterns in data, to then make predictions about new data, based the patterned recognized or learned from prior chosen training dataset. — [LINK]

Discussion on machine learning used at Google.

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