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The mythical 'science' of predicting elections

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  • In any case, our psephologists are among the glibbest talkers in the media business. They can talk rings around you about the swing factor, the switch factor, the margin of error, the index of popularity, the index of unpopularity, the index of opposition unity, the index of opposition disunity, the silent voter, an unspoken undercurrent and so on.

    The "margin of error" phrase is a particularly useful safety belt. Most pollsters put this margin of error at a high five per cent on either side. Another helpful ploy is to predict a bandwidth rather than a single figure. So if you predicted between 100 and 115 seats for party A and 95 to 110 seats for party B, you can still claim to be correct if A gets 100 and B gets 110, even though you predicted that A would be the frontrunner and it actually ended up being the loser! I once saw a pollster patting himself on the back for just this scenario.

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    And if all else goes wrong, you can always point out that you had mentioned there was a five per cent undecided voter, and all of them swung in one direction at the last minute leading to the miscalculation.

    Of late, a new trend has emerged. Give a detailed discourse on a state going to the polls. Provide percentages of what people think of leader A and leader B and issue C and issue D, but avoiding putting your money where your mouth is by projecting a seat tally. Without giving specific figures, but simply using jargon, you can claim you predicted every possible outcome.

    ... contd.

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    TRP, TRP, TRP!!!By: S. Jain | 05-May-2009 Reply | Forward It is obvious that the author has had no formal training in advanced statistical methods. There are two clues for this conclusion: (i) The concept of “margin of error” is an in-built prediction error for any statistical exercise of this nature (remember that the poll prediction exercise is based on the responses of a sample consisting of, maybe, 15,000 prospective voters from a total voter population of about 750,000,000 i.e. nearly 1:50,000!); (ii) the author has obfuscated her argument on the science behind this statistics by subtly (brazenly?) suggesting that “doctoring” is an accepted ploy within the profession: no, it is not, and such doctored statistical exercises are, ab initio, void, whatever any dubious proponent of such fudging might say. Besides misunderstanding the inherent limitations of poll predictions, the author also needs to understand why the psephologists’ tribe still thrives on mainstream TV – it’s the bottom-line, dear, eyeballs, TRP, baki sab bakwas, literally.
    Which side are you on? By: Ramesh Sahni | 05-May-2009 Reply | Forward Looks like you are one those pseudo-seculars who dot the media and bash the BJP and its constitutents as to the damage they could do if they came to power. Getting back to the point, we cant have a Third Front or Congress come into power this time.......!
    Prediction for UPBy: satya | 05-May-2009 Reply | Forward I remember during UP elections, many pollsters went totally wrong in their prediction. No one really predicted Mayawati would get a majority. However, later ndtv did a detailed analysis on why it went wrong and the analysis was very interesting.
    The mythical 'science' of predicting electionsBy: Raghbendra Jha | 04-May-2009 Reply | Forward Pollsters routinely get their predictions wrong. They should be held accountable for these errors since they set up certain expectations upon which people act and then these expectations are belied. There are real economic costs to such mistakes. Media outlets also have a responsibility to stop airing such unmitigated nonsense. But, of course, accountability in public life is moribund in India and, tragically, in the media as well. Physician, heal thyself!
    holier than thou!!By: Pratik Bhandari | 03-May-2009 Reply | Forward I agree with this article. But I am inclined to believe that the NDTV prediction is better than the others. Again, cant say I have any scientific measure of authenticity of prediction either.
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