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This may have been because a) Clegg's performance in the first debate led to a lot of polls where LD support was high, but ultimately this support melted away by the election and the history bias kept polls wrong until the last minute, or b) because there were lots of Polly Toynbees telling pollsters "I'm voting lib dem" to make sure they were in with a chance in the coverage, but actually intending to vote Labour (she actually advocated this tactic of lying to pollsters in the Guardian.)

Either way, it shows that statistical averages of what people say they'll do isn't always a good indicator of what they'll actually do when push comes to shove.

Disclaimer: as a (now rather embarrassed) Lib Dem, I'd quite like these predictions to be more accurate so I don't get my hopes up again.



I think your explanation is reasonable, but that's no excuse.

His US model makes a lot of allowances for things like how self-proclaimed independents are likely to vote.

It didn't work as well in the UK though.


I have no idea about the political culture in the UK. Is it possible that he just didn't have as much data to work with? In other words, a lot fewer relevant polls to feed into a model?


we don't generally have very many regional polls, and certainly not constituency polls, that are available for aggregators (an internal poll in a key marginal, perhaps.) There's a lot less money spent on UK elections.


Indeed, I don't disagree. I'm just saying I think it may well be impossible to be completely accurate, or even remotely accurate, in crazy elections.




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