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This may be trivial in the grand scheme of the nomination contest, but what is up with CNN's rounding errors in reporting election returns?
According to the CNN web site, with 99% of the precincts reporting, Obama has 56% of the Democratic primary vote in North Carolina, with 890,695 votes out of a total of 1,571,337 votes cast. Check with your calculator, though; that's 56.68% of the vote, which rounds to 57%, not 56%.
It's not that they don't know how to round; they correctly rounded Clinton's 41.87% (657,920 votes) up to 42%, after all.
The result is that Obama's 14.8% victory margin should round to 15%, not 14%. It's not just on the main primary page where this mistake happens; CNN.com writers refer to Obama's "14-point win" here, for example.
Weirdly, CNN did round Clinton's percentage up from 54.64% to 55% in Pennsylvania, although they then made a similar math error when they used already rounded numbers to calculate her margin of victory at 10 percentage points instead of 9.
I'm not suggesting they are in the tank for Clinton. I'm saying they are doing every little thing they can to stretch the Democratic nomination out as long as possible. Given the Republican bias of the mainstream news media, this is no surprise. We should expect (but not forgive) that they cherry-pick and spin the facts in order to promote that agenda. But this is MATH.
Also, since this math is all likely being done through automatic calculations on a spreadsheet, somebody at CNN must stepping in to replace the accurate numbers with inaccurate ones--purposefully lying to their audience. Yes, it's a small lie. But its such an obvious one that I'm left bewildered.
update:
Yes, I know that popular vote count is largely beside the point in the Democratic primary; it's delegates that matter. But the MSM, through a combination of venality, stupidity, and laziness, insists on covering the primary as if it followed exactly the same rules as the general election. If they're going to do that, they could at least do it correctly. I guess my point is that this small error is a very clear proof of their bias.
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