1 00:00:01,120 --> 00:00:04,680 Speaker 1: Morning Run with Amy and TJ and iHeartRadio Podcast. 2 00:00:06,800 --> 00:00:10,480 Speaker 2: Good morning everyone, and welcome to Morning Run. It is Tuesday, 3 00:00:10,560 --> 00:00:12,840 Speaker 2: December third. I'm Amy Robots. 4 00:00:12,480 --> 00:00:14,960 Speaker 1: And I'm TJ. Holmes and on our run this morning, 5 00:00:15,200 --> 00:00:19,919 Speaker 1: Trump puts Hamas on the clock. Release the hostages before 6 00:00:19,960 --> 00:00:23,480 Speaker 1: my inauguration or and I quote, there will be hell 7 00:00:23,520 --> 00:00:23,880 Speaker 1: to pay. 8 00:00:24,720 --> 00:00:28,240 Speaker 2: Plus President Biden is on a historic trip to Angola, 9 00:00:28,480 --> 00:00:31,280 Speaker 2: and that's still not far enough away to get away 10 00:00:31,320 --> 00:00:34,360 Speaker 2: from the screams in DC over that decision to pardon 11 00:00:34,400 --> 00:00:34,800 Speaker 2: his son. 12 00:00:35,120 --> 00:00:39,120 Speaker 1: Also three four five feet of snow, that's what some 13 00:00:39,159 --> 00:00:41,240 Speaker 1: parts of the country are dealing with, and it ain't 14 00:00:41,280 --> 00:00:41,720 Speaker 1: over yet. 15 00:00:42,159 --> 00:00:45,800 Speaker 2: And now it's the cucumbers. Dozens of people sickened, some 16 00:00:46,080 --> 00:00:51,320 Speaker 2: hospitalized after a salmonella outbreak tied to now recalled cucumbers. 17 00:00:51,520 --> 00:00:54,720 Speaker 1: Plus the good news, everyone of us has a chance 18 00:00:54,760 --> 00:00:57,760 Speaker 1: to win half a billion dollars tonight. The bad news 19 00:00:57,960 --> 00:01:01,120 Speaker 1: Your odds are one in three hundred two million, but you. 20 00:01:01,160 --> 00:01:03,639 Speaker 2: Have to be in it to win it. TJ and 21 00:01:03,760 --> 00:01:06,760 Speaker 2: demure was the dictionary dot com word of the year. 22 00:01:06,840 --> 00:01:09,840 Speaker 2: Will now folks over at Oxford Dictionary have released their 23 00:01:09,959 --> 00:01:13,200 Speaker 2: own and it's probably not a good sign that this 24 00:01:13,319 --> 00:01:16,399 Speaker 2: word is so popular. We'll get into that in just 25 00:01:16,440 --> 00:01:16,720 Speaker 2: a bit. 26 00:01:16,880 --> 00:01:19,280 Speaker 1: Bo We've got to begin on this Tuesday morning with 27 00:01:19,440 --> 00:01:22,480 Speaker 1: President elect Trump. He has given Hamas a deadline for 28 00:01:22,560 --> 00:01:26,360 Speaker 1: releasing the hostages or else. We don't exactly know what 29 00:01:26,480 --> 00:01:29,120 Speaker 1: that or else would be. But it didn't sound good. 30 00:01:29,040 --> 00:01:31,679 Speaker 2: No, it did not. Trump used a social media platform 31 00:01:31,760 --> 00:01:35,679 Speaker 2: to post this message, quoting him here. There will be 32 00:01:35,920 --> 00:01:38,319 Speaker 2: all hell to pay in the Middle East and for 33 00:01:38,360 --> 00:01:43,120 Speaker 2: those in charge who perpetrated these atrocities against humanity. He said. 34 00:01:43,160 --> 00:01:47,240 Speaker 2: He wants the hostages released before he takes office January twentieth. 35 00:01:47,600 --> 00:01:50,960 Speaker 2: He said that the members responsible will be hit harder 36 00:01:51,000 --> 00:01:53,680 Speaker 2: than anybody has been hit in the long and storied 37 00:01:53,720 --> 00:01:58,280 Speaker 2: history of the United States of America. Release the hostages now, 38 00:01:58,320 --> 00:01:59,000 Speaker 2: he says, so. 39 00:01:59,000 --> 00:02:01,520 Speaker 1: Amass militan's kidnap two hundred and fifty people in an 40 00:02:01,560 --> 00:02:04,360 Speaker 1: attack over a year ago that set off the current conflict. 41 00:02:04,560 --> 00:02:07,760 Speaker 1: About one hundred of those hostages are still unaccounted for. 42 00:02:07,880 --> 00:02:12,720 Speaker 1: Ceasefire negotiations between Israel and Hamas restarted last weekend. A 43 00:02:12,800 --> 00:02:16,600 Speaker 1: key condition is the release of all the hostages. Just 44 00:02:16,720 --> 00:02:20,280 Speaker 1: last week, there was movement when the US and France 45 00:02:20,400 --> 00:02:25,280 Speaker 1: negotiated a ceasefire deal between Israel and Hezbollah militants in Lebanon. 46 00:02:25,280 --> 00:02:28,160 Speaker 1: The hope is the long held belief and hope is 47 00:02:28,200 --> 00:02:30,079 Speaker 1: that you get one done there. Maybe that could lead 48 00:02:30,080 --> 00:02:31,399 Speaker 1: to a ceasefire in Gaza as well. 49 00:02:31,480 --> 00:02:34,520 Speaker 2: Yes, so Trump's social media threat against Tamas, we should 50 00:02:34,520 --> 00:02:37,080 Speaker 2: point out, followed an announcement that we got from the 51 00:02:37,120 --> 00:02:41,080 Speaker 2: Israeli Defense Forces that a US Israeli citizen died after 52 00:02:41,120 --> 00:02:44,520 Speaker 2: that October seventh attack last year while in custody while 53 00:02:44,520 --> 00:02:47,280 Speaker 2: being a hostage, and that his body is currently being 54 00:02:47,320 --> 00:02:50,639 Speaker 2: held in Gaza. There was no comment on Trump's post 55 00:02:50,919 --> 00:02:54,399 Speaker 2: from Israeli Prime Minister Benjamin Nett Yahou Yeah. 56 00:02:54,400 --> 00:02:59,600 Speaker 1: However, early Israeli president did tweet, thank you and bless you, 57 00:02:59,639 --> 00:03:02,600 Speaker 1: miss President Elect. We all pray for the moment we 58 00:03:02,639 --> 00:03:05,920 Speaker 1: see our sisters and brothers back home again. That's a 59 00:03:05,960 --> 00:03:10,160 Speaker 1: tweet from the Israeli president. But I don't know who 60 00:03:10,880 --> 00:03:14,560 Speaker 1: as AMA's listening. Do they dismiss the threat from Trump? 61 00:03:14,880 --> 00:03:17,160 Speaker 1: Do they look at him as well and go ah, 62 00:03:17,280 --> 00:03:20,440 Speaker 1: or do they go wait, maybe we should do something different. 63 00:03:20,560 --> 00:03:22,480 Speaker 2: Well, I think that they know something different will be 64 00:03:22,560 --> 00:03:25,720 Speaker 2: happening in the White House or at least currently from 65 00:03:25,760 --> 00:03:28,919 Speaker 2: what where we are currently come January twentieth, so I 66 00:03:28,919 --> 00:03:32,800 Speaker 2: would imagine they're listening next up on our run. As Washington, 67 00:03:32,880 --> 00:03:36,360 Speaker 2: d C continues to debate President Joe Biden's unexpected pardon 68 00:03:36,440 --> 00:03:40,160 Speaker 2: of his son, Hunter, Biden was making history as first 69 00:03:40,160 --> 00:03:43,280 Speaker 2: as the first American head of state ever to visit 70 00:03:43,360 --> 00:03:46,520 Speaker 2: the Southern African nation of Angola on Monday. 71 00:03:46,680 --> 00:03:49,680 Speaker 1: Yes, so is a history making trip that focuses on 72 00:03:49,720 --> 00:03:53,280 Speaker 1: a US funded railway project that focuses on the legacy 73 00:03:53,280 --> 00:03:55,720 Speaker 1: of slavery. So what did the reporters want to talk 74 00:03:55,760 --> 00:03:59,680 Speaker 1: about on the flight? The pardon of Hunter Biden. Of course, 75 00:03:59,720 --> 00:04:02,800 Speaker 1: that's big story. And the spokesperson for the White House, 76 00:04:02,840 --> 00:04:06,640 Speaker 1: Kareem Jean Pierre, responded to all the questions by essentially 77 00:04:06,680 --> 00:04:10,640 Speaker 1: repeating Biden's official statement that was released on the pardon. 78 00:04:11,320 --> 00:04:14,040 Speaker 1: This happened, of course, over the weekend Sundays when everything 79 00:04:14,120 --> 00:04:14,840 Speaker 1: kind of went crazy. 80 00:04:14,920 --> 00:04:17,520 Speaker 2: Yeah. So Hunter was scheduled to be sentenced later this 81 00:04:17,600 --> 00:04:20,880 Speaker 2: month for his conviction on three firearms charges. That was 82 00:04:20,920 --> 00:04:22,920 Speaker 2: a case that was happening in Delaware. He also had 83 00:04:22,920 --> 00:04:26,640 Speaker 2: already pleaded guilty to tax related charges in another case 84 00:04:26,680 --> 00:04:29,560 Speaker 2: in California, and his sentencing was coming up as well. 85 00:04:29,600 --> 00:04:33,480 Speaker 2: In that case, he was facing jail time, but now 86 00:04:33,600 --> 00:04:37,120 Speaker 2: that won't happen and he will be protected from prosecution 87 00:04:37,279 --> 00:04:40,320 Speaker 2: for any crimes he may have committed for an eleven 88 00:04:40,520 --> 00:04:45,080 Speaker 2: year period starting in twenty fourteen, and that is truly unprecedented. 89 00:04:45,120 --> 00:04:48,520 Speaker 2: It's unprecedented this pardon, not just because President Biden pardoned 90 00:04:48,520 --> 00:04:52,719 Speaker 2: his son that hasn't happened before, but because this pardon 91 00:04:52,880 --> 00:04:56,000 Speaker 2: was so broad. He's opened the door a lot of 92 00:04:56,040 --> 00:04:59,400 Speaker 2: experts say to what may happen for future presidents because 93 00:04:59,560 --> 00:05:04,240 Speaker 2: he didn't pardon necessarily Hunter for any specific crime or 94 00:05:04,279 --> 00:05:06,880 Speaker 2: any crimes related to any particular events. It was like 95 00:05:06,920 --> 00:05:10,039 Speaker 2: a big blanketed amnesty. 96 00:05:09,560 --> 00:05:11,720 Speaker 1: So full and unconditional right. 97 00:05:11,760 --> 00:05:14,000 Speaker 2: So there are a lot of questions anything. Yes, the 98 00:05:14,040 --> 00:05:17,240 Speaker 2: future presidents Trump included what that may mean for them 99 00:05:17,279 --> 00:05:21,600 Speaker 2: and they how they may interpret the pardon powers of 100 00:05:21,640 --> 00:05:23,800 Speaker 2: the presidency. So a lot of people debating it. 101 00:05:23,800 --> 00:05:26,080 Speaker 1: It was interesting to see how many Democrats have come 102 00:05:26,120 --> 00:05:30,359 Speaker 1: out and openly shown their disappointment and the decisions he made. 103 00:05:30,800 --> 00:05:32,719 Speaker 1: One of the best and succinct ways I heard it 104 00:05:32,760 --> 00:05:35,039 Speaker 1: was from Tommy Tubberville, of all people, from Alabama, the 105 00:05:35,040 --> 00:05:37,800 Speaker 1: former coach, but a Republican. He said, I would have 106 00:05:37,839 --> 00:05:41,240 Speaker 1: done the same thing for my son, but I wouldn't 107 00:05:41,279 --> 00:05:43,440 Speaker 1: have gone out and told the American people over and 108 00:05:43,480 --> 00:05:45,160 Speaker 1: over and over again, it's not what I'm going to do. 109 00:05:45,360 --> 00:05:47,120 Speaker 1: It is kind of that simple. That would have been 110 00:05:47,120 --> 00:05:50,640 Speaker 1: criticism if he'd have done this, But to tell folks repeated, 111 00:05:50,720 --> 00:05:52,839 Speaker 1: that's just not sitting well, and it's and then you 112 00:05:52,920 --> 00:05:55,320 Speaker 1: question the justice system. So you got Trump and Biden 113 00:05:55,480 --> 00:05:58,520 Speaker 1: are two main candidates, or the two guys who are 114 00:05:58,520 --> 00:06:01,920 Speaker 1: previously president, both saying that the justice system doesn't work 115 00:06:01,960 --> 00:06:04,839 Speaker 1: and it's broken because of how it treated them and 116 00:06:04,960 --> 00:06:08,360 Speaker 1: their own families. I'm sure there are guys at Rikers Island, 117 00:06:08,680 --> 00:06:12,160 Speaker 1: at La County Jail, Cook County Jail, for City, Arkansas 118 00:06:12,160 --> 00:06:15,839 Speaker 1: Correctional Facility right now with the same claim about the 119 00:06:15,880 --> 00:06:16,600 Speaker 1: justice system. 120 00:06:16,880 --> 00:06:19,200 Speaker 2: When you just said that, I know, I get chills 121 00:06:19,240 --> 00:06:21,320 Speaker 2: a lot, But I got chills because it does ring 122 00:06:21,400 --> 00:06:23,719 Speaker 2: true for so many people. And when you personally apply, 123 00:06:24,080 --> 00:06:26,280 Speaker 2: or at least feel like you've been slighted or you've 124 00:06:26,320 --> 00:06:29,719 Speaker 2: been targeted. Isn't that how a lot of people feel? 125 00:06:29,760 --> 00:06:33,000 Speaker 2: It's so true. So this is fascinating And to your point, 126 00:06:33,279 --> 00:06:36,600 Speaker 2: the issue isn't the fact that he pardoned his son. 127 00:06:36,680 --> 00:06:38,640 Speaker 2: It's the fact that he said he wasn't going to 128 00:06:39,040 --> 00:06:42,240 Speaker 2: And there in lies the problem with politicians and the people. 129 00:06:42,240 --> 00:06:44,520 Speaker 2: We don't trust our leaders because when they tell us 130 00:06:44,560 --> 00:06:47,480 Speaker 2: one thing, they do another. And this is a classic example. 131 00:06:47,760 --> 00:06:51,320 Speaker 2: You even had the spokesperson who's on that plane answering 132 00:06:51,320 --> 00:06:56,240 Speaker 2: those reporters questions, Cre Jean Pierre as recently as November seventh, 133 00:06:56,839 --> 00:07:01,040 Speaker 2: telling the reporters basically stop asking me if President Biden 134 00:07:01,080 --> 00:07:03,080 Speaker 2: is going to pardon his son. We have told you no. 135 00:07:03,640 --> 00:07:05,160 Speaker 2: And yet here we are. 136 00:07:05,880 --> 00:07:08,760 Speaker 1: All right, folks, We'll continue on our run this morning 137 00:07:08,800 --> 00:07:11,400 Speaker 1: with us once again having to tell you to check 138 00:07:11,440 --> 00:07:15,240 Speaker 1: your refrigerators because the Food and Drug Administration has expanded 139 00:07:15,760 --> 00:07:20,680 Speaker 1: it's cucumber recall to thirty five states now and five 140 00:07:20,760 --> 00:07:24,200 Speaker 1: Canadian provinces after sixty eight people have been sickened and 141 00:07:24,360 --> 00:07:26,480 Speaker 1: nineteen of those folks ended up in the hospital. 142 00:07:26,560 --> 00:07:29,840 Speaker 2: Yeah. And in addition, by the way, ten thousand cartons 143 00:07:29,880 --> 00:07:33,800 Speaker 2: of organic eggs sold at Costco under the Kirkland brand 144 00:07:33,840 --> 00:07:37,440 Speaker 2: have also been recalled. The major concern with the eggs, 145 00:07:37,880 --> 00:07:43,960 Speaker 2: and most notably with the cucumbers salmonella infection. They've been contaminated. 146 00:07:44,120 --> 00:07:46,720 Speaker 1: Okay, now the cucumber recall here with this one. All 147 00:07:46,800 --> 00:07:50,880 Speaker 1: the effective produce was grown in Senora, Mexico, and then 148 00:07:51,120 --> 00:07:54,160 Speaker 1: sold to three US companies between October twelfth and November 149 00:07:54,160 --> 00:07:56,640 Speaker 1: twenty six. The companies are sun Fed. 150 00:07:56,400 --> 00:07:59,440 Speaker 2: Produce, Blowian Farms. 151 00:07:59,120 --> 00:08:03,280 Speaker 1: Blowian Farms and Russ Davis So again, Sunfed Balloion Farms 152 00:08:03,280 --> 00:08:04,280 Speaker 1: and Russy Davis So. 153 00:08:04,360 --> 00:08:08,440 Speaker 2: Now several grocery store chains are involved because they purchased 154 00:08:08,440 --> 00:08:12,000 Speaker 2: the cucumbers from those farms. The cucumbers have been sold 155 00:08:12,280 --> 00:08:18,560 Speaker 2: at Walmart, Wegmans, Costco, and Albertson's stores across dozens of states, 156 00:08:18,840 --> 00:08:21,880 Speaker 2: too many to go over, so we encourage you to 157 00:08:21,960 --> 00:08:24,400 Speaker 2: go to the FDA website. It has a full list 158 00:08:24,720 --> 00:08:27,600 Speaker 2: of the stores affected in each state. 159 00:08:27,800 --> 00:08:29,640 Speaker 1: And when I hear salmonella, the first thing I think 160 00:08:29,680 --> 00:08:32,120 Speaker 1: about is meat. I don't know why I chicken for 161 00:08:32,160 --> 00:08:35,280 Speaker 1: some reason. Yeah, but a lot of this does happen. 162 00:08:35,320 --> 00:08:40,200 Speaker 1: Salmonella outbreaks are associated with fruits and vegetables in one 163 00:08:40,200 --> 00:08:42,760 Speaker 1: way or another. But it's a bacteria that can enter 164 00:08:42,840 --> 00:08:46,880 Speaker 1: products when workers handling food don't wash their hands. Or 165 00:08:46,920 --> 00:08:50,960 Speaker 1: when contaminated water is used to irrigate the crops. Symptoms 166 00:08:50,960 --> 00:08:54,320 Speaker 1: of zalmonella infection usually occur between six hours and six 167 00:08:54,480 --> 00:08:58,160 Speaker 1: days of eating the affected produce and include fever, diarrhea, 168 00:08:58,200 --> 00:08:59,160 Speaker 1: and stomach cramps. 169 00:08:59,200 --> 00:09:01,960 Speaker 2: And we should point out some of these infections are fatal, 170 00:09:02,040 --> 00:09:04,600 Speaker 2: so it's super important to seek medical attention if you're 171 00:09:04,600 --> 00:09:08,280 Speaker 2: experiencing any of these symptoms. So far, there had been 172 00:09:08,320 --> 00:09:11,360 Speaker 2: no deaths, thankfully as a result of this outbreak, but 173 00:09:11,360 --> 00:09:15,080 Speaker 2: according to the CDC, salmonella causes around four hundred and 174 00:09:15,160 --> 00:09:18,960 Speaker 2: twenty deaths each and every year here in the United States, 175 00:09:19,320 --> 00:09:21,840 Speaker 2: so this is something certainly to take note of. And 176 00:09:21,960 --> 00:09:24,960 Speaker 2: to you know, we had cucumbers last night. I actually 177 00:09:25,040 --> 00:09:29,000 Speaker 2: was a little bit concerned. But so far, so good, 178 00:09:29,120 --> 00:09:31,800 Speaker 2: and probably I'm not going to eat anymore until this 179 00:09:31,880 --> 00:09:32,440 Speaker 2: is cleared up. 180 00:09:32,559 --> 00:09:35,400 Speaker 1: True bad, But I can't keep up with the list. 181 00:09:35,600 --> 00:09:41,840 Speaker 1: It was the onions, there were carrots, we had what 182 00:09:41,880 --> 00:09:42,920 Speaker 1: do we have in the. 183 00:09:43,280 --> 00:09:46,800 Speaker 2: Beef deli meat? It was the listeria. Yeah, in the 184 00:09:46,880 --> 00:09:50,400 Speaker 2: last several months, there have been a number it seems 185 00:09:50,480 --> 00:09:55,120 Speaker 2: like a growing number of recalls and outbreaks just this 186 00:09:55,200 --> 00:09:55,760 Speaker 2: past fall. 187 00:09:55,880 --> 00:09:57,800 Speaker 1: But we should tell you this, and this is coming 188 00:09:57,840 --> 00:10:01,360 Speaker 1: from Robot's dad, who was a MicroB I'll just was 189 00:10:01,360 --> 00:10:04,840 Speaker 1: with him not long ago and was grilling him about 190 00:10:04,880 --> 00:10:07,280 Speaker 1: all these things. He said, this is not necessarily If 191 00:10:07,320 --> 00:10:10,280 Speaker 1: this can give you any comfort, he said, this is 192 00:10:10,360 --> 00:10:13,960 Speaker 1: not a matter of there being a problem in the line, 193 00:10:14,120 --> 00:10:18,240 Speaker 1: or it's dirty, or they're skipping steps. It's a sign 194 00:10:19,000 --> 00:10:22,960 Speaker 1: that our system is working to catch things. It's working 195 00:10:23,000 --> 00:10:25,240 Speaker 1: so well that it's catching things and getting them off 196 00:10:25,280 --> 00:10:27,839 Speaker 1: the market. So don't be worried that for some reason 197 00:10:27,880 --> 00:10:29,920 Speaker 1: your food is more contaminated. It's just that we have 198 00:10:29,960 --> 00:10:31,959 Speaker 1: better systems in place to catch it. And that is 199 00:10:32,000 --> 00:10:32,440 Speaker 1: a good sign. 200 00:10:32,640 --> 00:10:35,800 Speaker 2: Yes, if that may be the silver lining, it might 201 00:10:35,800 --> 00:10:37,360 Speaker 2: not make you feel any better. And I'm still going 202 00:10:37,440 --> 00:10:39,679 Speaker 2: to toss the cucumbers in my refrigerator right now. 203 00:10:39,760 --> 00:10:42,679 Speaker 1: All right, folks, we'll stay with us on this Tuesday morning. 204 00:10:42,760 --> 00:10:45,920 Speaker 1: Ron When we come back, feet of snow have fallen 205 00:10:45,960 --> 00:10:48,240 Speaker 1: and it ain't over yet, and tonight is the night 206 00:10:48,320 --> 00:11:01,959 Speaker 1: we could all get rich. Next up our run, I'm 207 00:11:02,000 --> 00:11:04,679 Speaker 1: gonna give you all two options for how I should 208 00:11:04,760 --> 00:11:07,320 Speaker 1: leave his next story. Both of them were just written 209 00:11:07,360 --> 00:11:10,760 Speaker 1: and given to me by my Theeremy Roeboch. It could 210 00:11:10,800 --> 00:11:16,040 Speaker 1: either go with snow snow go away, or option two. 211 00:11:16,200 --> 00:11:17,880 Speaker 2: Was say it ain't snow. 212 00:11:19,880 --> 00:11:23,480 Speaker 1: Okay, And with that next up on our run, say 213 00:11:23,480 --> 00:11:26,800 Speaker 1: it ain't snow. Lake Effect snow is bearing communities and 214 00:11:26,920 --> 00:11:29,760 Speaker 1: seven states from Wisconsin to New York, and it is 215 00:11:29,800 --> 00:11:31,040 Speaker 1: still going to be coming down today. 216 00:11:31,120 --> 00:11:34,319 Speaker 2: Yeah. The growing snow totals are record breaking and frankly 217 00:11:34,480 --> 00:11:38,640 Speaker 2: jaw dropping. Here's a few examples. Barnes Corners, New York, 218 00:11:38,960 --> 00:11:42,959 Speaker 2: already reported sixty five inches and counting on the ground. 219 00:11:43,360 --> 00:11:48,480 Speaker 2: Fifty six inches in Saybrook, Ohio, forty two inches in Gaylord, Michigan. 220 00:11:48,800 --> 00:11:51,840 Speaker 2: Thirty inches so far in Erie, Pennsylvania. Note I keep 221 00:11:51,920 --> 00:11:53,080 Speaker 2: saying so far. 222 00:11:53,240 --> 00:11:57,000 Speaker 1: Because those meteorologists are saying that some areas because in 223 00:11:57,080 --> 00:12:02,000 Speaker 1: additional six to twenty inches today and into tomorrow in 224 00:12:02,040 --> 00:12:05,120 Speaker 1: western Michigan is blowing snow led to whiteout conditions that 225 00:12:05,280 --> 00:12:08,960 Speaker 1: shut down completely shut down Interstate ninety four on Monday. 226 00:12:09,040 --> 00:12:12,280 Speaker 2: Yeah, there was a wicked accident there and whiteout conditions. 227 00:12:12,320 --> 00:12:14,760 Speaker 2: It's just you shouldn't be out and about if you're 228 00:12:14,800 --> 00:12:17,280 Speaker 2: in these areas. And here's a deal, even if you're 229 00:12:17,320 --> 00:12:21,800 Speaker 2: not blanketed with snow, millions of US present parties included 230 00:12:21,880 --> 00:12:25,960 Speaker 2: are under our blankets. Temperatures are ten to fifteen degrees 231 00:12:26,000 --> 00:12:28,320 Speaker 2: below normal from the Midwest to the mid Atlantic and 232 00:12:28,320 --> 00:12:31,040 Speaker 2: here in the Northeast. Even parts of the Southeast are 233 00:12:31,040 --> 00:12:33,840 Speaker 2: dealing with freeze warnings once again today. 234 00:12:33,920 --> 00:12:35,760 Speaker 1: So Amina Raal just tell us that this is all 235 00:12:35,800 --> 00:12:39,240 Speaker 1: part of a polar vortex that's coming down from Siberia. 236 00:12:39,320 --> 00:12:43,880 Speaker 1: Thanks super slow, guys. No, it is going to warm 237 00:12:43,960 --> 00:12:46,600 Speaker 1: up in mid December. They expect another band of colder, 238 00:12:46,679 --> 00:12:52,240 Speaker 1: snowy air and they're calling another stretched polar vortex, this 239 00:12:52,320 --> 00:12:54,719 Speaker 1: one to arrive just in time for the holidays. Now 240 00:12:54,800 --> 00:12:57,360 Speaker 1: that one, well, I don't know if we like it 241 00:12:57,480 --> 00:13:01,200 Speaker 1: or not love it. Of a white Christmas sound great 242 00:13:01,520 --> 00:13:03,920 Speaker 1: if you're not in an airport trying to get somewhere. 243 00:13:03,960 --> 00:13:06,160 Speaker 2: That's true, that's true. But I cannot think of the 244 00:13:06,280 --> 00:13:09,880 Speaker 2: last time New York has had a New York City, 245 00:13:09,920 --> 00:13:12,240 Speaker 2: I should say, has had a white Christmas. It's been 246 00:13:12,360 --> 00:13:14,400 Speaker 2: a while. In fact, we haven't had a lot of 247 00:13:14,440 --> 00:13:18,560 Speaker 2: snow in the past couple of years. So I'm excited 248 00:13:18,960 --> 00:13:22,240 Speaker 2: at the idea of possibly having a white Christmas. Of course, 249 00:13:22,280 --> 00:13:25,160 Speaker 2: they can't predict it yet. But they say they like 250 00:13:25,280 --> 00:13:28,480 Speaker 2: the chances, specifically in the Northeast of potentially having a 251 00:13:28,480 --> 00:13:32,640 Speaker 2: white Christmas this year before rather than what we've had 252 00:13:32,640 --> 00:13:35,440 Speaker 2: in the past. I'll take it all right. Next up 253 00:13:35,480 --> 00:13:38,880 Speaker 2: on our morning run, let's continue the exciting news. Somebody 254 00:13:38,920 --> 00:13:41,880 Speaker 2: could win five hundred and forty one million dollars tonight, 255 00:13:41,920 --> 00:13:45,440 Speaker 2: and that somebody could be you, yes, you or me. 256 00:13:46,120 --> 00:13:49,240 Speaker 1: The Mega Millions drawing is tonight at eleven o'clock Eastern Time, 257 00:13:49,280 --> 00:13:52,520 Speaker 1: and after no Winter and Friday's drawing, the jackpot is 258 00:13:52,720 --> 00:13:57,959 Speaker 1: now at five hundred and forty one million dollars to day. 259 00:13:58,040 --> 00:14:00,400 Speaker 1: If you choose to take a lump some that would 260 00:14:00,440 --> 00:14:04,640 Speaker 1: be around two hundred and fifty seven point six million dollars. 261 00:14:06,160 --> 00:14:08,840 Speaker 2: That's remarkable. And guess what, there has not been a 262 00:14:08,920 --> 00:14:13,120 Speaker 2: jackpot winner since early September. That's allowed this jackpot to 263 00:14:13,120 --> 00:14:17,560 Speaker 2: grow into what is now the twelfth largest Mega Millions 264 00:14:17,600 --> 00:14:20,360 Speaker 2: in history. And you were saying it depends on where 265 00:14:20,400 --> 00:14:22,440 Speaker 2: you live, well how. 266 00:14:22,360 --> 00:14:25,520 Speaker 1: Rich you could get, because if you, of course, as 267 00:14:25,520 --> 00:14:26,880 Speaker 1: soon a let's say you take the two hundred and 268 00:14:26,920 --> 00:14:30,240 Speaker 1: fifty seven million lump sum, the government, federal government, they're 269 00:14:30,240 --> 00:14:32,880 Speaker 1: going to take twenty five percent of it automatically. But 270 00:14:32,920 --> 00:14:35,560 Speaker 1: we're depending on where you live your state. Are you 271 00:14:35,600 --> 00:14:37,640 Speaker 1: going to owe your state? If you live in Texas, 272 00:14:37,920 --> 00:14:41,320 Speaker 1: Tennessee you don't owe. Or Florida, I thought you don't 273 00:14:41,320 --> 00:14:42,320 Speaker 1: owe any state income tax. 274 00:14:42,600 --> 00:14:44,640 Speaker 2: Wouldn't that that's a huge difference. 275 00:14:44,680 --> 00:14:46,960 Speaker 1: It's huge. So that's a lot of money. You go, 276 00:14:47,080 --> 00:14:48,800 Speaker 1: wow in one of those states. 277 00:14:48,840 --> 00:14:51,800 Speaker 2: Thought about that. But this also blew my mind as 278 00:14:51,800 --> 00:14:55,080 Speaker 2: we were looking up this mega millions uh drawing for tonight. 279 00:14:55,640 --> 00:14:58,840 Speaker 2: Remember the one point one to eight billion dollar jackpot 280 00:14:58,880 --> 00:15:03,240 Speaker 2: that was one in New Jersey. It has not been 281 00:15:03,320 --> 00:15:06,640 Speaker 2: claimed yet. That's always like a like I don't get 282 00:15:06,720 --> 00:15:08,640 Speaker 2: lottery tickets very often, but I would like to get 283 00:15:08,640 --> 00:15:11,360 Speaker 2: one today. But I always fear like I would be 284 00:15:11,400 --> 00:15:13,760 Speaker 2: that person who would get it and then just like 285 00:15:13,880 --> 00:15:16,040 Speaker 2: toss it in a drawer or forget I had it, 286 00:15:16,360 --> 00:15:18,560 Speaker 2: and all the while you're the winner and you don't 287 00:15:18,560 --> 00:15:21,080 Speaker 2: even know it. I mean, it's it's kind of crazy 288 00:15:21,120 --> 00:15:24,360 Speaker 2: to think that no one has claimed that billion dollar 289 00:15:24,440 --> 00:15:25,680 Speaker 2: plus jackpot yet. 290 00:15:25,920 --> 00:15:30,280 Speaker 1: Chances are that person doesn't know they want. I know, 291 00:15:30,560 --> 00:15:33,600 Speaker 1: chances are that ticket might it has to be gone 292 00:15:34,120 --> 00:15:36,200 Speaker 1: because I know they say you take time to get 293 00:15:36,200 --> 00:15:38,720 Speaker 1: your ducks in a row to call an attorney. This 294 00:15:38,960 --> 00:15:40,360 Speaker 1: is something else. 295 00:15:40,440 --> 00:15:44,600 Speaker 2: Now I would be I would be claiming my prize, 296 00:15:44,640 --> 00:15:48,000 Speaker 2: like within a minute of finding that ticket. I would 297 00:15:48,080 --> 00:15:51,600 Speaker 2: not delay or anything like just in case something went wrong. 298 00:15:51,640 --> 00:15:52,920 Speaker 2: I would would want to confirm it. 299 00:15:52,920 --> 00:15:53,200 Speaker 1: All. 300 00:15:53,480 --> 00:15:56,040 Speaker 2: Yeah. Wow, that's a bummer. But I guess if you 301 00:15:56,080 --> 00:15:57,720 Speaker 2: don't know, you don't know what you don't know. 302 00:15:58,360 --> 00:16:01,680 Speaker 1: Man, that's a tough one. Uh nlfhano leg of our 303 00:16:01,760 --> 00:16:06,520 Speaker 1: run today Oxford Dictionary's word of the year. That word 304 00:16:06,800 --> 00:16:10,800 Speaker 1: is brain rotted. First, we'll give you the definition, the 305 00:16:11,120 --> 00:16:16,320 Speaker 1: supposed deterioration of a person's mental and intellectual state, especially 306 00:16:16,400 --> 00:16:19,960 Speaker 1: viewed as the results of overconsumption of material, in particular 307 00:16:20,320 --> 00:16:24,800 Speaker 1: online content considered to be trivial or unchallenging. 308 00:16:25,280 --> 00:16:28,880 Speaker 2: So Oxford said that this word saw a huge jump 309 00:16:28,880 --> 00:16:31,400 Speaker 2: in usage in twenty twenty four, but they can trace 310 00:16:31,440 --> 00:16:35,040 Speaker 2: the word pack this is crazy to eighteen fifty four 311 00:16:35,400 --> 00:16:38,960 Speaker 2: when Henry David Thurreau used it in his book. Walden 312 00:16:39,400 --> 00:16:42,840 Speaker 2: and Oxford explained what brain rod is and why they 313 00:16:42,920 --> 00:16:45,240 Speaker 2: chose it. It says it speaks to one of the 314 00:16:45,280 --> 00:16:49,760 Speaker 2: perceived dangers of virtual life and how we are using 315 00:16:49,800 --> 00:16:53,240 Speaker 2: our free time. It feels like a rightful next chapter 316 00:16:53,320 --> 00:16:57,800 Speaker 2: in the cultural conversation about humanity and technology. It is 317 00:16:57,880 --> 00:17:01,760 Speaker 2: not surprising that so many voters embrace the term, endorsing 318 00:17:01,800 --> 00:17:05,000 Speaker 2: it as our choice this year. Yeah, they actually put 319 00:17:05,000 --> 00:17:08,320 Speaker 2: it to a vote and brain rot one for all 320 00:17:08,400 --> 00:17:12,480 Speaker 2: the worst reasons you can imagine, but very apropos I 321 00:17:12,520 --> 00:17:12,960 Speaker 2: thought that. 322 00:17:13,040 --> 00:17:15,679 Speaker 1: Was so well said. They put it in such a 323 00:17:15,680 --> 00:17:17,560 Speaker 1: good way. And then I thought, oh, it's Oxford. They're 324 00:17:17,720 --> 00:17:18,720 Speaker 1: good with words. 325 00:17:19,800 --> 00:17:20,760 Speaker 2: It's kind of what they did. 326 00:17:20,960 --> 00:17:24,280 Speaker 1: Yeah, so well said. So what were runner up? 327 00:17:25,040 --> 00:17:25,159 Speaker 2: Is it? 328 00:17:25,240 --> 00:17:26,000 Speaker 1: Runners up? Yeah? 329 00:17:26,000 --> 00:17:28,960 Speaker 2: It runners up? I think right here, just like attorneys general. 330 00:17:29,000 --> 00:17:30,520 Speaker 2: It always screws me up when I have to add 331 00:17:30,520 --> 00:17:33,320 Speaker 2: an s in the first word. But yes, runners up. 332 00:17:33,480 --> 00:17:35,920 Speaker 1: So we're we had five here. One of them one's 333 00:17:36,000 --> 00:17:38,560 Speaker 1: dynamic pricing. I think everybody knows what that is now. 334 00:17:38,840 --> 00:17:40,680 Speaker 1: I hate it is just a nicer way to say 335 00:17:40,720 --> 00:17:42,960 Speaker 1: we're going to gouge you. Yeah, because it's raining and 336 00:17:43,200 --> 00:17:47,080 Speaker 1: you're trying to get an uber. But okay, Lore, I 337 00:17:47,119 --> 00:17:51,479 Speaker 1: don't know. I wasn't sure about this one necessarily, but 338 00:17:51,560 --> 00:17:55,160 Speaker 1: Lore was one. Okay, Romanticy did you know this one? 339 00:17:55,320 --> 00:17:57,320 Speaker 2: No? And I actually had to look it up because 340 00:17:57,880 --> 00:18:00,520 Speaker 2: I have not heard this word used. But as we've 341 00:18:00,560 --> 00:18:03,240 Speaker 2: already established last week when we had the word of 342 00:18:03,280 --> 00:18:06,200 Speaker 2: the year from dictionary dot com, I'm clearly under a rock. 343 00:18:06,480 --> 00:18:09,720 Speaker 2: But this is a genre of fiction that is like 344 00:18:09,840 --> 00:18:13,639 Speaker 2: romantic fiction and fantasy. So there's themes of magic and 345 00:18:13,680 --> 00:18:18,720 Speaker 2: supernatural alongside a romantic storyline. So it's the kind of 346 00:18:18,880 --> 00:18:20,360 Speaker 2: novels people are reading. 347 00:18:20,160 --> 00:18:24,000 Speaker 1: Oh, specifically novels like I couldn't watch a romanticy. 348 00:18:23,560 --> 00:18:25,720 Speaker 2: Maybe I mean a novel could be turned into a movie. 349 00:18:25,760 --> 00:18:28,199 Speaker 2: I haven't seen that on Netflix yet as one of 350 00:18:28,200 --> 00:18:31,760 Speaker 2: my categories romanticy, but I'd be willing to click on 351 00:18:31,800 --> 00:18:32,320 Speaker 2: that right. 352 00:18:32,359 --> 00:18:35,679 Speaker 1: Another runner up word of the year is slop. This 353 00:18:35,800 --> 00:18:38,639 Speaker 1: one makes perfect sense. It's art, writing and other content 354 00:18:39,080 --> 00:18:42,719 Speaker 1: generated by AI and just kind of thrown around and 355 00:18:42,880 --> 00:18:46,280 Speaker 1: just doesn't mean anything. It's inauthentic, it's inaccurate, it's low quality. 356 00:18:46,320 --> 00:18:47,080 Speaker 2: It's dangerous. 357 00:18:47,240 --> 00:18:47,880 Speaker 1: It's slop. 358 00:18:48,320 --> 00:18:50,560 Speaker 2: It's sloped. But wouldn't you agree that's dangerous. We have 359 00:18:50,600 --> 00:18:54,800 Speaker 2: to do something on AI because it is unbelievable what 360 00:18:54,840 --> 00:18:57,680 Speaker 2: you can do with it, and it's deeply concerning. Also 361 00:18:57,800 --> 00:19:00,199 Speaker 2: a runner up, this is really interesting. The word of 362 00:19:00,200 --> 00:19:03,959 Speaker 2: the year for dictionary dot Com was demure, and that 363 00:19:04,119 --> 00:19:10,040 Speaker 2: was also on the list for Oxford. Very demure, very mindful. 364 00:19:10,080 --> 00:19:13,320 Speaker 2: We talked about it last week the TikToker Jules Lebron, 365 00:19:13,359 --> 00:19:17,080 Speaker 2: who coined that phrase, and it went like crazy and 366 00:19:17,160 --> 00:19:19,280 Speaker 2: apparently all of our kids we were like, we don't 367 00:19:19,280 --> 00:19:21,240 Speaker 2: know what that is. We asked all of the girls 368 00:19:21,240 --> 00:19:25,160 Speaker 2: over Thanksgiving. They're like, oh yeah, very demure, very mindful. 369 00:19:25,240 --> 00:19:28,560 Speaker 2: They all knew exactly what it was. So clearly that 370 00:19:29,080 --> 00:19:30,919 Speaker 2: was on the list as well, and now we know why. 371 00:19:31,000 --> 00:19:33,120 Speaker 1: Yeah, we're still catching up. But before you go about 372 00:19:33,119 --> 00:19:36,199 Speaker 1: here Tuesday, we would like you to consider this your 373 00:19:36,280 --> 00:19:37,080 Speaker 1: quote of the day. 374 00:19:37,640 --> 00:19:40,840 Speaker 2: Every strike brings me closer to the next home run. 375 00:19:41,080 --> 00:19:43,919 Speaker 2: That is from the legendary Babe Ruth. It's always a 376 00:19:43,920 --> 00:19:46,119 Speaker 2: good reminder that when you keep trying and if you 377 00:19:46,200 --> 00:19:49,040 Speaker 2: swing and you miss, you never know what the next 378 00:19:49,160 --> 00:19:50,400 Speaker 2: at that home bring. 379 00:19:51,080 --> 00:19:54,760 Speaker 1: You've been pulling out some sports quotes here lately, no 380 00:19:54,880 --> 00:19:58,760 Speaker 1: prompting for me. That was so folks, every strike brings 381 00:19:58,920 --> 00:20:01,320 Speaker 1: me closer to the next home run. And with that, 382 00:20:01,359 --> 00:20:03,040 Speaker 1: we appreciate you running with us as always. 383 00:20:03,040 --> 00:20:06,200 Speaker 2: I'm t J and I'm Amy Robock. Have a great Tuesday, 384 00:20:06,200 --> 00:20:11,320 Speaker 2: Everyone stay away from those cucumbers. Mm hmmm.