Predictions are part and parcel of our life. With more available data, we are looking at driven predictions rather than sense-driven predictions. Predication has expanded many domains such as ecomics, productions, sports etc. However, last week, we saw two of such predictions went wrong.
1. Whether predictions at T20I worldcup
First of all, pre-world cup favorites, India couldn't win the semi final while another pre tournmennt favorite, hosts, Aurtralia couldn't make even to the semi final. I am not going to consider that a wrong predictions as win/loss prediction in sports should fail in order to sport become more attractive.
However, when England - Pakistan lock horns with each other at the Melbourne for the final, there were predictions that match will not be possible to stage due to rain. There was 95% probability for rain. Playing conditions were altered in order to accommodate rain. Additonal day was already announced even before the tournament. But with the prediction of rain, match duration was increased by two hours and ten overs were set to constitute a match. However, match was played without any interruptions. There was a harmless drizzle for five to ten minutes.
2. USA Mid Term Elections
Then the next prediction in USA mid term elections. It was expected to trump led republican to take over the senate, house and even the govenership easily. There was prediction of "red - wave" and trump's come back.. But at the end of the election, demoract was able to hold the power of senete with 50/50. (With the vice president twi breaker, they are narrowly holding the senete by one vote. Predications were expecting republicans to win 55 seats in senete. On the House, republicans were expecting to get 235 seats but they got 218 which is the cut of margin to win the state. (five seats yet to be called). Now many media organizations are calling to review the pre-election predictions.
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