1 00:00:00,160 --> 00:00:02,160 Speaker 1: This is gonna sound like a horror story, but for 2 00:00:02,200 --> 00:00:04,960 Speaker 1: some people it's a reality. Imagine you head to the 3 00:00:05,000 --> 00:00:07,280 Speaker 1: mailbox after doing your taxes, your reach in you think 4 00:00:07,280 --> 00:00:10,160 Speaker 1: you're going to get your tax refund, only to find 5 00:00:10,280 --> 00:00:14,600 Speaker 1: that somebody's already filed and gotten your return. Identity thieves 6 00:00:14,640 --> 00:00:17,600 Speaker 1: can use your personal information to file for your refund 7 00:00:17,720 --> 00:00:20,480 Speaker 1: or commit other forms of ID theft. The last year 8 00:00:20,520 --> 00:00:23,880 Speaker 1: of the i r S identified approximately four point one 9 00:00:23,920 --> 00:00:27,840 Speaker 1: billion dollars in suspected tax refund fraud due to I 10 00:00:27,960 --> 00:00:31,479 Speaker 1: D theft. Now, thankfully there's LifeLock. With LifeLock, you have 11 00:00:31,600 --> 00:00:34,080 Speaker 1: access to a team of US based specialists who know 12 00:00:34,320 --> 00:00:38,199 Speaker 1: the steps to take to fix identity issues, whether it 13 00:00:38,240 --> 00:00:41,160 Speaker 1: happens during tax season or any other time. Of course, 14 00:00:41,200 --> 00:00:44,600 Speaker 1: no one can prevent all identity theft or monitor all 15 00:00:44,640 --> 00:00:48,479 Speaker 1: transactions at all businesses, but nobody is better than LifeLock. 16 00:00:48,760 --> 00:00:51,240 Speaker 1: Join now and get ten percent off when you visit 17 00:00:51,320 --> 00:00:55,040 Speaker 1: LifeLock dot com slash rush. That's LifeLock dot com slash rush, 18 00:00:55,280 --> 00:01:01,000 Speaker 1: or call one three and use the promo code rush. 19 00:01:01,480 --> 00:01:04,720 Speaker 1: On Monday afternoon, right before that big blizzard was supposed 20 00:01:04,760 --> 00:01:07,720 Speaker 1: to destroy New York, the National Weather Service knew the 21 00:01:07,800 --> 00:01:11,759 Speaker 1: storm might fizzle, but they kept giving worst case predictions 22 00:01:11,760 --> 00:01:14,960 Speaker 1: of epic snow amounts because, according to The Washington Post, 23 00:01:15,000 --> 00:01:17,200 Speaker 1: they didn't want to confuse the public to a bunch 24 00:01:17,240 --> 00:01:20,760 Speaker 1: of idiots. The Post criticizes that decision. They call it 25 00:01:20,800 --> 00:01:24,360 Speaker 1: well intentioned but flawed. They say it could erode public 26 00:01:24,360 --> 00:01:28,040 Speaker 1: trust and weather forecast. The Weather Service has a responsibility 27 00:01:28,280 --> 00:01:31,000 Speaker 1: to put out the best possible forecasts, as the Post, 28 00:01:31,319 --> 00:01:34,000 Speaker 1: if they learned that they're wrong about something, they must 29 00:01:34,040 --> 00:01:38,800 Speaker 1: revise their forecast until the public immediately. Well that's not 30 00:01:38,880 --> 00:01:42,119 Speaker 1: how the Post or other drive by media outlets think 31 00:01:42,120 --> 00:01:45,560 Speaker 1: about climate forecasting. I mean, for decades have been all 32 00:01:45,680 --> 00:01:48,920 Speaker 1: kinds of melodramatic global warming forecast that have not happened 33 00:01:49,160 --> 00:01:52,040 Speaker 1: the end of snow, for instance, when it turned out 34 00:01:52,120 --> 00:01:55,680 Speaker 1: some so called climate scientists faked their data to drive buys, 35 00:01:55,720 --> 00:01:58,720 Speaker 1: ignored it when it was obvious the world was not 36 00:01:58,880 --> 00:02:02,720 Speaker 1: heating up as predicted, they broomed the term global warming 37 00:02:02,720 --> 00:02:06,520 Speaker 1: and they started talking about climate change instead. So the 38 00:02:06,640 --> 00:02:09,200 Speaker 1: drive by media is upset that the Weather Service will 39 00:02:09,320 --> 00:02:14,720 Speaker 1: erode public trust by not reporting accurate forecast the day 40 00:02:14,760 --> 00:02:18,280 Speaker 1: before storm. But they couldn't care less about the bogus 41 00:02:18,320 --> 00:02:22,800 Speaker 1: forecasts of climate doom that they have been reporting for decades. 42 00:02:22,880 --> 00:02:25,919 Speaker 1: Anybody have a little problem with this