1 00:00:05,160 --> 00:00:10,800 Speaker 1: Why from vall Hartbeiner and the Crossroads of America. It's 2 00:00:10,880 --> 00:00:23,120 Speaker 1: Tony Katz today, Yes, it is Tony Kats today. I 3 00:00:23,160 --> 00:00:30,040 Speaker 1: am Mike Coolidge in for mister Kats. That's right. It 4 00:00:30,200 --> 00:00:34,239 Speaker 1: is the end of the week and there's a lot 5 00:00:34,280 --> 00:00:36,760 Speaker 1: of news. This is Matt. I don't know, maybe the 6 00:00:36,800 --> 00:00:39,440 Speaker 1: fourth or fifth time I've filled in for Tony Katz. 7 00:00:39,600 --> 00:00:43,320 Speaker 1: And it's never been a slow news day, they say, 8 00:00:43,400 --> 00:00:47,320 Speaker 1: in news, or in radio or in any sort of broadcasting. 9 00:00:47,479 --> 00:00:49,479 Speaker 1: There's no such thing as a slow news day. You 10 00:00:49,479 --> 00:00:54,760 Speaker 1: can make anything interesting, everybody knows, especially the you know, 11 00:00:55,680 --> 00:01:00,959 Speaker 1: times between holidays or between like Christmas and New Year, 12 00:01:01,000 --> 00:01:05,920 Speaker 1: for example. It is occasionally slow, right, there's not a 13 00:01:05,920 --> 00:01:08,240 Speaker 1: whole lot of press releases going out and things. But 14 00:01:08,920 --> 00:01:13,319 Speaker 1: when there's awful things that occur that can happen anytime, right. 15 00:01:14,400 --> 00:01:19,760 Speaker 1: And this murder that happened at Brown University and the 16 00:01:19,959 --> 00:01:26,720 Speaker 1: ensuing chaos that the officials there were conducting, as far 17 00:01:26,760 --> 00:01:32,320 Speaker 1: as reporting about it goes, talk about a comedy of 18 00:01:32,560 --> 00:01:37,480 Speaker 1: errors for something really serious. People were murdered, students were 19 00:01:37,560 --> 00:01:46,040 Speaker 1: murdered at Brown University, and the apparatus there at this 20 00:01:46,680 --> 00:01:56,120 Speaker 1: college purportedly supposedly the biggest group of intellectuals in the 21 00:01:56,240 --> 00:02:04,480 Speaker 1: world are at the Ivy League schools, right, Brown, Harvard, Princeton, Cornell. 22 00:02:05,680 --> 00:02:07,320 Speaker 1: I know there's some other Ivy Leagues that I'm that 23 00:02:07,360 --> 00:02:10,480 Speaker 1: I'm not remembering. I think Penn is in the Ivy League, right, 24 00:02:12,800 --> 00:02:15,880 Speaker 1: University of Pennsylvania, not Penn State. Uh, there's supposed to 25 00:02:15,919 --> 00:02:19,440 Speaker 1: be the smartest people on the planet, right. People have 26 00:02:19,600 --> 00:02:22,360 Speaker 1: come from all over to go to school there, and 27 00:02:22,440 --> 00:02:27,280 Speaker 1: the administrators there are you know super I went to 28 00:02:27,360 --> 00:02:30,640 Speaker 1: college in Boston. I went to Boston University, not a 29 00:02:30,840 --> 00:02:34,440 Speaker 1: Ivy League school that was. That was very much pointed 30 00:02:34,480 --> 00:02:36,680 Speaker 1: out to us when we're up there, because you know, 31 00:02:36,720 --> 00:02:40,079 Speaker 1: we're with Harvard right across the Charles River and m 32 00:02:40,160 --> 00:02:43,560 Speaker 1: I T which is, you know, Harvard Caliber. Obviously Boston 33 00:02:43,639 --> 00:02:48,760 Speaker 1: College had its own you know, reputation and whatnot. Be 34 00:02:48,840 --> 00:02:51,760 Speaker 1: you was surprised Boston College and it's uh in its 35 00:02:52,000 --> 00:02:56,040 Speaker 1: reputation since since I left in the late nineties. But uh, 36 00:02:57,240 --> 00:03:02,840 Speaker 1: the the sort of snobbery that happens in New England, 37 00:03:03,080 --> 00:03:07,959 Speaker 1: especially in these towns that have the big universities and 38 00:03:08,000 --> 00:03:10,680 Speaker 1: the Ivy League universities. Oh yeah, yeah, I forgot about Yale. 39 00:03:10,800 --> 00:03:16,040 Speaker 1: How can you forget Yale. They have a very high 40 00:03:16,040 --> 00:03:20,320 Speaker 1: opinion of themselves because they're known as like the intellectuals 41 00:03:20,360 --> 00:03:24,280 Speaker 1: throughout throughout the world, the Ivy leaguers, and in the 42 00:03:24,320 --> 00:03:30,320 Speaker 1: surrounding area of these universities. Yeah, the people who are 43 00:03:30,320 --> 00:03:33,280 Speaker 1: the mayors of these towns, they're supposed to be that 44 00:03:33,360 --> 00:03:38,040 Speaker 1: sort of caliber. You know. Well, didn't see a whole 45 00:03:38,040 --> 00:03:42,720 Speaker 1: lot of that when they were trying to catch this killer. 46 00:03:43,480 --> 00:03:48,120 Speaker 1: And the news today is that a forty eight year 47 00:03:48,120 --> 00:03:55,920 Speaker 1: old Portuguese national named Claudio Manuel Nevez Valente is identified 48 00:03:56,040 --> 00:04:00,440 Speaker 1: by authorities as the suspect in the deadly shooting at 49 00:04:00,480 --> 00:04:05,000 Speaker 1: Brown University in Providence, Rhode Island, that happened on December thirteenth, 50 00:04:05,520 --> 00:04:10,640 Speaker 1: And the news today, which we found last night, was 51 00:04:10,760 --> 00:04:15,680 Speaker 1: that he took his own life, This Claudio Manuel Nevez Valante, 52 00:04:17,160 --> 00:04:23,520 Speaker 1: in a storage facility in or near Brookline, Massachusetts. On 53 00:04:23,560 --> 00:04:27,159 Speaker 1: December thirteenth, twenty twenty five, gunman opened fire in the 54 00:04:27,279 --> 00:04:31,080 Speaker 1: Barrison Holly Engineering Building during a finals review session for 55 00:04:31,120 --> 00:04:37,120 Speaker 1: an economics class, killing two students, Muhammad Disease Who's Morokov, 56 00:04:37,279 --> 00:04:41,960 Speaker 1: eighteen years old and Ella Cook, nineteen years old. Injured 57 00:04:42,040 --> 00:04:48,360 Speaker 1: nine others. Valente had a brief prior connection to Brown University. 58 00:04:48,400 --> 00:04:52,200 Speaker 1: He enrolled in a PhD program in physics from fall 59 00:04:52,279 --> 00:04:55,320 Speaker 1: two thousand to spring two thousand and one, took a 60 00:04:55,400 --> 00:04:59,160 Speaker 1: leave of absence, and formerly withdrew in two thousand and 61 00:04:59,200 --> 00:05:05,800 Speaker 1: three with no subsequent affiliation. Authorities linked him to the 62 00:05:05,800 --> 00:05:13,479 Speaker 1: fatal shooting of MIT physics professor Nuno FG. Luriello or 63 00:05:13,680 --> 00:05:19,200 Speaker 1: Lourierro at his home in Brookline, Massachusetts, on December fifteenth, 64 00:05:19,640 --> 00:05:24,919 Speaker 1: twenty twenty five. Lent Day and Loreno attended the same 65 00:05:25,080 --> 00:05:30,320 Speaker 1: undergraduate program in physics in Portugal from nineteen ninety five 66 00:05:30,320 --> 00:05:36,120 Speaker 1: to two thousand, though no personal relationship is confirmed. After 67 00:05:36,160 --> 00:05:42,160 Speaker 1: a multi day manhunt involving surveillance footage, a rental car trace, 68 00:05:42,839 --> 00:05:48,680 Speaker 1: and a citizen tip, Lente was found dead yesterday in 69 00:05:48,760 --> 00:05:52,040 Speaker 1: a storage unit. I'm sorry in Salem, New Hampshire. I misspoke. 70 00:05:52,120 --> 00:05:55,640 Speaker 1: It was not in Massachusetts. It was in Salem, New Hampshire, 71 00:05:56,000 --> 00:05:59,920 Speaker 1: from his self inflicted gunshot wound. Two firearms were recover 72 00:06:01,240 --> 00:06:03,320 Speaker 1: As far as we know right now, he acted alone 73 00:06:03,400 --> 00:06:07,600 Speaker 1: with no prior US criminal record. Investigators have not established 74 00:06:07,600 --> 00:06:11,960 Speaker 1: a clear motive as of today. Describing it as ongoing 75 00:06:12,000 --> 00:06:18,839 Speaker 1: with many unknowns. Why target Brown now or these specific victims. 76 00:06:19,560 --> 00:06:22,159 Speaker 1: The case is considered closed following his death, though no 77 00:06:22,279 --> 00:06:28,440 Speaker 1: probes into motives continue. I don't know, uh, I don't 78 00:06:28,440 --> 00:06:34,600 Speaker 1: think if authorities conclude that this man did it, that 79 00:06:34,640 --> 00:06:43,520 Speaker 1: the investigation should conclude, because, like any time life or 80 00:06:43,560 --> 00:06:51,760 Speaker 1: death things occur, you would think that people would have 81 00:06:51,800 --> 00:06:56,920 Speaker 1: an investigation to decide what went wrong here? How did 82 00:06:56,920 --> 00:07:01,440 Speaker 1: this happen? How can it be prevented? Now? Obviously, when 83 00:07:01,480 --> 00:07:06,360 Speaker 1: someone is hell bent on murdering other people, and as 84 00:07:06,400 --> 00:07:09,400 Speaker 1: we found out with this guy, you know, if he 85 00:07:09,480 --> 00:07:11,600 Speaker 1: it was indeed the killer, and that's what it looks like. 86 00:07:12,080 --> 00:07:15,800 Speaker 1: He was suicidal himself, so he didn't value his own life. 87 00:07:16,520 --> 00:07:18,680 Speaker 1: It's really hard to stop that kind of thing, right, 88 00:07:19,200 --> 00:07:23,560 Speaker 1: It's really hard, you can, you know, after anything like 89 00:07:23,600 --> 00:07:29,440 Speaker 1: this happens, there's the reflexive, knee jerk responses that people 90 00:07:29,480 --> 00:07:33,120 Speaker 1: often go to. They say, mental illness, We need more, 91 00:07:34,000 --> 00:07:37,119 Speaker 1: you know, help with mental illness. And then of course 92 00:07:37,160 --> 00:07:40,200 Speaker 1: the gun control nuts come out and say, we have 93 00:07:40,240 --> 00:07:45,560 Speaker 1: too many guns in this country. That's what did it there? 94 00:07:45,600 --> 00:07:50,800 Speaker 1: This this requires a little bit more scrutiny here because 95 00:07:51,280 --> 00:07:58,520 Speaker 1: the Keystone cops and really inept officials that have been 96 00:07:58,520 --> 00:08:02,080 Speaker 1: conducting these press conferences of the last couple of days, 97 00:08:02,160 --> 00:08:05,880 Speaker 1: not just the local officials, but the people in charge 98 00:08:05,880 --> 00:08:10,520 Speaker 1: of Brown University, the administrators and leaders and president there 99 00:08:10,560 --> 00:08:14,280 Speaker 1: and all that they have an Again, I put this 100 00:08:15,760 --> 00:08:19,200 Speaker 1: up there and I laid this out about them being 101 00:08:19,240 --> 00:08:23,520 Speaker 1: these quote unquote intellectuals, because you would think somebody with 102 00:08:23,720 --> 00:08:27,400 Speaker 1: really high IQs or people with really high IQ's, and 103 00:08:27,480 --> 00:08:32,679 Speaker 1: people who are really smart have good judgment, right, can 104 00:08:32,720 --> 00:08:38,000 Speaker 1: make wise decisions about things. Well, we've found out over 105 00:08:38,040 --> 00:08:41,120 Speaker 1: these crazy press conferences the last couple of days that 106 00:08:41,800 --> 00:08:48,959 Speaker 1: there were no cameras in the building where this murder occurred. 107 00:08:48,960 --> 00:08:52,520 Speaker 1: This double murder occurred. And again we shouldn't just say 108 00:08:53,160 --> 00:08:57,360 Speaker 1: two people were murdered, We should add two that nine 109 00:08:57,480 --> 00:09:03,440 Speaker 1: others were injured. Well comed a these Amroskough and Ella 110 00:09:03,559 --> 00:09:08,600 Speaker 1: Cook were the victims here. I mean, we can just 111 00:09:08,640 --> 00:09:13,240 Speaker 1: speculate that they were not targeted because of who they were. 112 00:09:13,280 --> 00:09:16,360 Speaker 1: I'm just going to speculate that because this guy was 113 00:09:16,400 --> 00:09:20,800 Speaker 1: forty eight years old and it's probably hard to imagine 114 00:09:20,800 --> 00:09:24,960 Speaker 1: that he was connected in some way to these two people. 115 00:09:25,080 --> 00:09:30,040 Speaker 1: They were probably innocent bystanders who were caught up in 116 00:09:30,440 --> 00:09:34,120 Speaker 1: whatever he whatever reason in his mind, whatever motive he 117 00:09:34,200 --> 00:09:43,560 Speaker 1: had to go into a university with a weapon. Could 118 00:09:43,559 --> 00:09:46,560 Speaker 1: have been a knife, could have been a grenade. In 119 00:09:46,600 --> 00:09:50,080 Speaker 1: his case, it was a gun. He was hell bent 120 00:09:50,280 --> 00:09:53,720 Speaker 1: on creating mayhem and killing people, and he did. He 121 00:09:53,800 --> 00:10:01,160 Speaker 1: was successful. And was there a way to this from happening? 122 00:10:01,480 --> 00:10:04,520 Speaker 1: And is there a way to prevent things like this 123 00:10:04,520 --> 00:10:10,959 Speaker 1: from happening in the future if neglect occurred, if idiotic 124 00:10:11,280 --> 00:10:18,840 Speaker 1: procedures or decisions were made by local authorities, particularly local 125 00:10:19,640 --> 00:10:23,000 Speaker 1: people in charge of Brown University, there should be consequences 126 00:10:23,000 --> 00:10:27,640 Speaker 1: for that. Right, Why were cameras not in this old building? 127 00:10:28,320 --> 00:10:32,000 Speaker 1: You can put that was the press conference earlier this week, 128 00:10:32,040 --> 00:10:35,360 Speaker 1: one of the ones I watched. One of the responses 129 00:10:35,600 --> 00:10:40,400 Speaker 1: was that the reason that there weren't cameras in the 130 00:10:40,440 --> 00:10:44,559 Speaker 1: building was because it was old or something. What kind 131 00:10:44,559 --> 00:10:49,960 Speaker 1: of an answer is that there's the age of a 132 00:10:50,000 --> 00:10:54,160 Speaker 1: building doesn't preclude it from having cameras in it, whether 133 00:10:54,200 --> 00:10:57,440 Speaker 1: it was built in you know, Brown's probably, I mean Harvard, 134 00:10:57,480 --> 00:11:00,120 Speaker 1: I know was in the sixteen hundreds. Harvard predates the 135 00:11:00,160 --> 00:11:03,240 Speaker 1: United States of America. Yale didn't come that far after. 136 00:11:03,679 --> 00:11:06,240 Speaker 1: I don't know when Brown University was made, but you know, 137 00:11:06,320 --> 00:11:09,760 Speaker 1: let's let's says it's two and a half, you know, 138 00:11:09,920 --> 00:11:13,760 Speaker 1: two h and fifty years old. That doesn't mean that 139 00:11:14,840 --> 00:11:20,000 Speaker 1: the buildings there can't have cameras in them. Now, there 140 00:11:20,080 --> 00:11:24,439 Speaker 1: was word that one of the reasons that there were 141 00:11:24,440 --> 00:11:26,640 Speaker 1: no cameras in the building was something to do with 142 00:11:26,760 --> 00:11:31,360 Speaker 1: the anti ICE people. You know, places like Brown University 143 00:11:31,520 --> 00:11:37,560 Speaker 1: are infested with far far far leftist radicals running it, 144 00:11:38,200 --> 00:11:46,560 Speaker 1: and there was speculation that putting cameras in buildings might 145 00:11:46,920 --> 00:11:51,800 Speaker 1: help federal authorities like ICE do their job in a 146 00:11:51,920 --> 00:11:55,120 Speaker 1: costing and you know, when they find out that they're 147 00:11:55,160 --> 00:11:58,280 Speaker 1: in is there's an illegal migrant or an illegal alien 148 00:11:58,840 --> 00:12:03,560 Speaker 1: in their midst. They are charged to find those illegal 149 00:12:03,600 --> 00:12:07,920 Speaker 1: aliens and you know, arrest them and eventually deport them. 150 00:12:08,520 --> 00:12:12,960 Speaker 1: But cameras in the building might assist ICE people. Again, 151 00:12:13,040 --> 00:12:19,520 Speaker 1: this was speculation that the cameras were not in the building. 152 00:12:19,559 --> 00:12:26,560 Speaker 1: They were removed because it might help ICE identify illegal aliens. 153 00:12:28,240 --> 00:12:32,760 Speaker 1: And then there's some other really really weird things happening 154 00:12:33,160 --> 00:12:35,080 Speaker 1: or coming out about this, which we're going to get 155 00:12:35,120 --> 00:12:39,319 Speaker 1: to as the show develops. Stuff to do with the 156 00:12:40,960 --> 00:12:45,880 Speaker 1: man who apparently there was some person who lived in 157 00:12:46,120 --> 00:12:51,440 Speaker 1: the building where this occurred, a homeless man who lived 158 00:12:51,480 --> 00:12:54,599 Speaker 1: in the building who is a graduate of Brown University. 159 00:12:55,440 --> 00:13:01,520 Speaker 1: So again, a really really smart person who happens to 160 00:13:01,720 --> 00:13:06,000 Speaker 1: be homeless and is living in the building. He gave 161 00:13:06,080 --> 00:13:08,680 Speaker 1: some tip that led to this, And that's the next 162 00:13:08,760 --> 00:13:12,280 Speaker 1: question is why are there homeless people living in Brown 163 00:13:12,400 --> 00:13:19,440 Speaker 1: University's buildings? Is that a what is that all about? 164 00:13:20,520 --> 00:13:22,840 Speaker 1: There's a lot to dig into here, and there's more 165 00:13:22,880 --> 00:13:27,400 Speaker 1: news coming out about it. I guess it's I don't 166 00:13:27,400 --> 00:13:32,040 Speaker 1: want to call it good news, but it's news that 167 00:13:33,720 --> 00:13:37,360 Speaker 1: leads to the conclusion that people aren't in danger there 168 00:13:37,440 --> 00:13:41,520 Speaker 1: anymore in the Providence, Rhode Island area that Brown University 169 00:13:41,600 --> 00:13:46,600 Speaker 1: is if the man who allegedly did this, Claudiomanuel Neves Valante, 170 00:13:47,160 --> 00:13:50,240 Speaker 1: took his own life, so he's not on the loose 171 00:13:50,280 --> 00:13:53,400 Speaker 1: anymore and he's not a threat to the community because 172 00:13:53,400 --> 00:13:58,520 Speaker 1: he killed himself. But still we need some questions answered 173 00:13:58,600 --> 00:14:01,840 Speaker 1: about how he was able to do this, how he 174 00:14:01,960 --> 00:14:04,960 Speaker 1: was able to be not caught for as long as 175 00:14:05,000 --> 00:14:09,680 Speaker 1: he was, and what sort of things do people who 176 00:14:09,840 --> 00:14:14,160 Speaker 1: maybe were negligent in this situation in this awful tragedy. 177 00:14:15,320 --> 00:14:18,480 Speaker 1: Is there some come up and some you know, holding 178 00:14:18,520 --> 00:14:21,680 Speaker 1: of accountability that needs to happen Over the next couple 179 00:14:21,680 --> 00:14:23,880 Speaker 1: of days. We'll get into that and more on this 180 00:14:24,200 --> 00:14:27,720 Speaker 1: end of the week edition of Tony Kats Today. I 181 00:14:27,800 --> 00:14:30,880 Speaker 1: am Mike Coolidge in for Tony. We'll be right back. 182 00:14:31,080 --> 00:14:38,360 Speaker 1: We are back on Tony Katz today. Little Christmas music there. Yeah, 183 00:14:38,440 --> 00:14:41,240 Speaker 1: I am Mike Coolidge in for Tony Katz. I know 184 00:14:41,360 --> 00:14:45,360 Speaker 1: that our great friend Tony celebrates Tonica. Happy Ponka to 185 00:14:45,520 --> 00:14:50,040 Speaker 1: all of our Jewish brethren out there. I am Christian. 186 00:14:50,080 --> 00:14:54,640 Speaker 1: I celebrate Christmas, and we also have the the you know, 187 00:14:54,760 --> 00:15:02,320 Speaker 1: secular holiday that is really Christmas. And I usually when 188 00:15:02,360 --> 00:15:05,200 Speaker 1: I am out and about, if I know someone's Jewish, 189 00:15:05,240 --> 00:15:08,600 Speaker 1: I'll say Happy Honkah. And then the default though this 190 00:15:08,640 --> 00:15:11,840 Speaker 1: time of year I say, is Merry Christmas. I rarely 191 00:15:11,920 --> 00:15:14,360 Speaker 1: say the Happy Holidays. I know, I know it's a 192 00:15:14,360 --> 00:15:17,160 Speaker 1: big thing. I know it's a it's been a you know, 193 00:15:17,200 --> 00:15:21,360 Speaker 1: the war on Christmas for years. I was a participant 194 00:15:21,400 --> 00:15:24,400 Speaker 1: in that war on Christmas, not against it, for it. 195 00:15:25,000 --> 00:15:28,160 Speaker 1: I always say Merry Christmas too, people. And I grew 196 00:15:28,240 --> 00:15:30,400 Speaker 1: up my first eighteen years of my life. I grew 197 00:15:30,480 --> 00:15:33,120 Speaker 1: up in New Jersey. I think Tony Katz has some 198 00:15:33,360 --> 00:15:36,120 Speaker 1: New Jersey past as well. And I have many friends 199 00:15:36,120 --> 00:15:38,520 Speaker 1: who were Jewish, So those that were Jewish, I said 200 00:15:38,600 --> 00:15:41,600 Speaker 1: happy Honkah too. I still a friend who are joys say, well, 201 00:15:41,640 --> 00:15:43,160 Speaker 1: you know, and I find out when it is. Sometimes 202 00:15:43,200 --> 00:15:45,440 Speaker 1: Hankah it's really early. It's like, you know, starts in 203 00:15:45,520 --> 00:15:48,720 Speaker 1: late November. Sometimes it's past Christmas. I know this particular 204 00:15:48,920 --> 00:15:55,320 Speaker 1: time of year it is coinciding with Christmas, so it's 205 00:15:55,360 --> 00:15:59,360 Speaker 1: appropriate to say Merry Christmas and Happyanica. But when Hankah's over, 206 00:15:59,440 --> 00:16:02,680 Speaker 1: I just say Merry Christmas and then Happy New Year 207 00:16:03,040 --> 00:16:07,560 Speaker 1: when it is around. I don't like the dilution of Christmas, 208 00:16:07,960 --> 00:16:12,960 Speaker 1: although I know holiday technically stands for holiday. But it's 209 00:16:12,960 --> 00:16:15,400 Speaker 1: funny when you go to Great Britain or the UK, 210 00:16:16,200 --> 00:16:18,720 Speaker 1: they don't use that term happy holidays. It's a much 211 00:16:18,720 --> 00:16:21,200 Speaker 1: more secular country than the United States is, but it's 212 00:16:21,240 --> 00:16:24,240 Speaker 1: Happy Christmas and Merry Christmas there. They don't use the 213 00:16:24,640 --> 00:16:29,080 Speaker 1: happy holidays. Not a thing. I like that about Great Britain. 214 00:16:29,080 --> 00:16:32,920 Speaker 1: It's either Merry Christmas or happy Christmas or happy Onica. 215 00:16:33,120 --> 00:16:36,800 Speaker 1: Those are the only two holidays at this time particularly 216 00:16:36,840 --> 00:16:40,400 Speaker 1: of year before New Year's Eve of course. All right. 217 00:16:40,480 --> 00:16:43,120 Speaker 1: Oh and by the way, I found out I'm gonna 218 00:16:43,120 --> 00:16:47,040 Speaker 1: be filling in view for mister Katz on New Year's 219 00:16:47,160 --> 00:16:52,760 Speaker 1: Eve and the Monday after New Year's Day, so I'll 220 00:16:52,800 --> 00:16:56,200 Speaker 1: be traveling in, out and about. But yeah, I'll be 221 00:16:56,400 --> 00:17:02,680 Speaker 1: joining the fantastic Tony Katz listeners in the new twenty 222 00:17:02,760 --> 00:17:05,200 Speaker 1: twenty six as well as the last day of twenty 223 00:17:05,240 --> 00:17:07,840 Speaker 1: twenty five, we might put together some kind of you know, 224 00:17:08,160 --> 00:17:11,720 Speaker 1: best of the year sort of news things. It'll be live, 225 00:17:12,080 --> 00:17:15,080 Speaker 1: have no fear, but it'll be a little bit and 226 00:17:15,400 --> 00:17:18,520 Speaker 1: we'll try to have fun. Today we're not having fun. 227 00:17:19,240 --> 00:17:25,719 Speaker 1: No fun today. Listen to this news conference about the 228 00:17:27,760 --> 00:17:31,320 Speaker 1: terrible double murder that happened at Brown University, which killed 229 00:17:31,359 --> 00:17:34,760 Speaker 1: two people and nine and injured nine others. This is 230 00:17:34,800 --> 00:17:40,480 Speaker 1: a radio host there, fellow radio host asking one of 231 00:17:40,520 --> 00:17:43,520 Speaker 1: the only media people they're seeming to ask tough questions 232 00:17:43,600 --> 00:17:46,520 Speaker 1: to the authorities there, and listen to how the authorities 233 00:17:46,560 --> 00:17:47,159 Speaker 1: there handle it. 234 00:17:48,680 --> 00:17:52,280 Speaker 2: I'm gonna end with one last I'm gonna end with 235 00:17:52,400 --> 00:17:53,119 Speaker 2: one mantimoney. 236 00:17:53,600 --> 00:17:55,160 Speaker 1: It's lost these investigations. 237 00:17:55,400 --> 00:17:58,200 Speaker 2: Round one to reverse the money to the city, under saying, 238 00:17:58,440 --> 00:18:01,480 Speaker 2: and she only gets some money to the gentlemen get 239 00:18:01,520 --> 00:18:03,399 Speaker 2: the license, playing over the whole person. 240 00:18:03,560 --> 00:18:06,480 Speaker 1: So I think Brown is so to give thank you. 241 00:18:06,480 --> 00:18:08,919 Speaker 2: For the question. I will say, I can't speak for 242 00:18:08,960 --> 00:18:11,400 Speaker 2: other agencies we have the City of Providence. We have 243 00:18:11,480 --> 00:18:15,919 Speaker 2: not yet assessed what the cost of this investigation. Let 244 00:18:16,000 --> 00:18:18,479 Speaker 2: me finish my answer. We have not yet. We have 245 00:18:18,600 --> 00:18:23,160 Speaker 2: not yet assessed what the cost that We're done. Okay, okay, listen, 246 00:18:23,280 --> 00:18:28,840 Speaker 2: one last one, last one, last positive announcement. As has 247 00:18:28,880 --> 00:18:31,880 Speaker 2: been said multiple times, the investigation continues. I know there's 248 00:18:31,920 --> 00:18:35,160 Speaker 2: lots of questions around motive and otherwise. The individuals here 249 00:18:35,240 --> 00:18:38,920 Speaker 2: are still hard at work. Yesterday we gave an update 250 00:18:39,560 --> 00:18:41,920 Speaker 2: with respect to the survivors. I'm happy to say that 251 00:18:42,240 --> 00:18:45,680 Speaker 2: one condition was upgraded and now all six survivors are 252 00:18:45,680 --> 00:18:49,840 Speaker 2: in stable condition. It is an important to not lose 253 00:18:49,880 --> 00:18:52,760 Speaker 2: fact of the fact that six people are still in 254 00:18:52,800 --> 00:18:56,800 Speaker 2: the hospital who I know would welcome our prayers. This 255 00:18:56,840 --> 00:19:00,520 Speaker 2: has been a traumatic moment for our community. I hope 256 00:19:00,520 --> 00:19:04,040 Speaker 2: that today's announcement starts the healing process and provides some 257 00:19:04,119 --> 00:19:08,160 Speaker 2: closure for that. As the governor, I think very eloquently stated, 258 00:19:09,240 --> 00:19:11,360 Speaker 2: lots of people are going to leave town today, but 259 00:19:11,400 --> 00:19:13,000 Speaker 2: the rest of us will all still be here and 260 00:19:13,040 --> 00:19:14,439 Speaker 2: we're going to have a long road ahead. 261 00:19:16,000 --> 00:19:21,159 Speaker 1: Let's hope that they allow themselves to be asked the 262 00:19:21,200 --> 00:19:25,520 Speaker 1: tougher questions. So far they really haven't been. They shout 263 00:19:25,560 --> 00:19:28,719 Speaker 1: down the tough questions like that. This is Mike Coolidge 264 00:19:28,800 --> 00:19:32,320 Speaker 1: in for Tony Katz today. We will be right back. 265 00:19:32,359 --> 00:19:39,080 Speaker 1: Don't go anywhere. I hope you aren't listening to the 266 00:19:39,160 --> 00:19:45,520 Speaker 1: verys of that little word about Santa Claus. There great 267 00:19:45,600 --> 00:19:50,240 Speaker 1: song by the Kinks, Father Christmas, Merry Christmas season, and 268 00:19:50,400 --> 00:19:53,919 Speaker 1: Happy Hanukah to all. I am Mike Coolidge. That spelled 269 00:19:53,920 --> 00:19:56,440 Speaker 1: with the K K O O l I d g E. 270 00:19:56,600 --> 00:20:01,960 Speaker 1: You can find me on X again. It's spelled with 271 00:20:02,040 --> 00:20:05,600 Speaker 1: a K, just like Tony Katz. I'm with a K 272 00:20:06,160 --> 00:20:09,439 Speaker 1: though K O L I d g E. Follow me 273 00:20:09,520 --> 00:20:14,200 Speaker 1: on the X and who knows I might follow you back. 274 00:20:14,840 --> 00:20:18,199 Speaker 1: We have two and a half more hours of radio 275 00:20:18,800 --> 00:20:23,160 Speaker 1: awesomeness to deliver you today. And if you are one 276 00:20:23,160 --> 00:20:26,960 Speaker 1: of those awesome listeners who listens to all three hours, 277 00:20:27,640 --> 00:20:29,960 Speaker 1: I know most people, don't you know you might be 278 00:20:30,040 --> 00:20:32,560 Speaker 1: on your way to the airport right now. You might 279 00:20:32,800 --> 00:20:36,680 Speaker 1: be coming back from the airport. You might be driving 280 00:20:37,119 --> 00:20:39,199 Speaker 1: in your car for fifteen minutes, and this is the 281 00:20:39,240 --> 00:20:43,359 Speaker 1: only fifteen minutes you'll hear if you happen to be listening. 282 00:20:43,400 --> 00:20:46,840 Speaker 1: In the second hour, we're gonna have Kevin Jackson on. 283 00:20:47,000 --> 00:20:49,119 Speaker 1: He's a radio host in his own right, it's a 284 00:20:49,160 --> 00:20:53,000 Speaker 1: friend of mine, and he is gonna chime in on 285 00:20:53,359 --> 00:20:58,800 Speaker 1: this viral story or i should say article called the 286 00:20:58,920 --> 00:21:04,760 Speaker 1: Lost Generation, and that even Vice President jd Vance tweeted 287 00:21:04,800 --> 00:21:09,680 Speaker 1: about this week story of this guy who was trying 288 00:21:09,720 --> 00:21:14,400 Speaker 1: to make it in Hollywood for fifteen years and chronicled 289 00:21:14,840 --> 00:21:25,560 Speaker 1: the DEI extremism out there that consciously, openly, proudly prevented 290 00:21:25,680 --> 00:21:31,359 Speaker 1: a certain racial group and a certain gender from succeeding 291 00:21:31,640 --> 00:21:34,720 Speaker 1: and getting cast in things. We'll try to have you 292 00:21:34,760 --> 00:21:38,840 Speaker 1: figure out what particular racial group that was and gender, 293 00:21:38,880 --> 00:21:42,679 Speaker 1: and I mean very open about it too. But the 294 00:21:42,760 --> 00:21:45,639 Speaker 1: Lost Generation, I've never it's been a while since I've 295 00:21:45,680 --> 00:21:48,080 Speaker 1: seen a piece like this go viral. We're going to 296 00:21:48,160 --> 00:21:51,400 Speaker 1: dig into that in the second hour very deeply on 297 00:21:51,440 --> 00:21:54,119 Speaker 1: this end of the week show. But a little bit 298 00:21:54,160 --> 00:22:00,000 Speaker 1: more about this Brown University news and this will probably 299 00:22:00,160 --> 00:22:03,240 Speaker 1: we go away out of the news cycle, and honestly, 300 00:22:04,240 --> 00:22:07,720 Speaker 1: in Providence, I'm sure it will continue. They're gonna as 301 00:22:07,760 --> 00:22:11,280 Speaker 1: they should keep the you know, mayor and the police 302 00:22:11,359 --> 00:22:17,800 Speaker 1: chief there and the administrators at Brown University accountable, and 303 00:22:17,880 --> 00:22:21,720 Speaker 1: they have a lot of answers uh to questions you 304 00:22:21,760 --> 00:22:24,159 Speaker 1: know that that that needs to there's a lot of 305 00:22:24,359 --> 00:22:29,960 Speaker 1: unanswered questions and they need to be held be held 306 00:22:29,960 --> 00:22:33,239 Speaker 1: accountable to prevent something like this from happening again. Right. Uh, 307 00:22:33,320 --> 00:22:37,440 Speaker 1: But there are things we can learn, perhaps because these 308 00:22:38,359 --> 00:22:43,040 Speaker 1: killers who are hell bent on murdering people regardless of 309 00:22:43,080 --> 00:22:45,720 Speaker 1: what weapon they use. Could be a knife, could be 310 00:22:45,760 --> 00:22:48,280 Speaker 1: a grenade, could be a gun, could be a handgun, 311 00:22:48,320 --> 00:22:53,159 Speaker 1: could be a shotgun. I know, there's all sorts of 312 00:22:53,320 --> 00:22:54,600 Speaker 1: drills that schools do. 313 00:22:55,320 --> 00:22:55,480 Speaker 2: Uh. 314 00:22:55,560 --> 00:22:57,520 Speaker 1: There's a there's a man in my neck of the 315 00:22:57,520 --> 00:23:01,200 Speaker 1: woods in northern Illinois. I'm only one one, uh, one 316 00:23:01,280 --> 00:23:04,000 Speaker 1: stayed over from from Tony katz U. This man named 317 00:23:04,040 --> 00:23:09,040 Speaker 1: Mark Dallas, who was a security officer at a school 318 00:23:09,560 --> 00:23:12,760 Speaker 1: where a you look him up, it's a it's a 319 00:23:12,840 --> 00:23:17,280 Speaker 1: it's a great story because he stopped a school shooting 320 00:23:17,400 --> 00:23:22,440 Speaker 1: from occurring by stopping a kid who had a gun 321 00:23:22,560 --> 00:23:26,000 Speaker 1: and was gonna kill people out of school in Dixon, Illinois, 322 00:23:26,080 --> 00:23:30,439 Speaker 1: and this security officer stopped him. That that's the best 323 00:23:31,119 --> 00:23:35,760 Speaker 1: case scenario. And he was invited to watch the State 324 00:23:35,760 --> 00:23:39,360 Speaker 1: of the Union address during President Trump's first term. Mark 325 00:23:39,440 --> 00:23:43,680 Speaker 1: Dallas really really a hero. And you don't hear much 326 00:23:43,680 --> 00:23:48,320 Speaker 1: about it because nothing happened, you know, nobody. The kid 327 00:23:48,359 --> 00:23:51,520 Speaker 1: was arrested and went to jail, but nobody was hurt, 328 00:23:51,560 --> 00:23:56,520 Speaker 1: nobody was killed, Thank God. There are things we can 329 00:23:56,600 --> 00:23:59,800 Speaker 1: do when if you you know, see something, say something, 330 00:24:00,119 --> 00:24:02,200 Speaker 1: something just looks a little fishy, a little bit weird. 331 00:24:03,240 --> 00:24:09,280 Speaker 1: But the person that tipped the authorities off at this 332 00:24:09,320 --> 00:24:15,040 Speaker 1: Brown University shooting. This is from Kimberly Crusae in the 333 00:24:15,080 --> 00:24:20,320 Speaker 1: Associated Press. This just came out hours ago. Information from 334 00:24:20,440 --> 00:24:24,119 Speaker 1: NBC Boston. Information from a tipster who had a strange 335 00:24:24,359 --> 00:24:27,760 Speaker 1: encounter with another man on a sidewalk outside Brown University 336 00:24:28,200 --> 00:24:31,640 Speaker 1: was key to police identifying the suspect they believe killed 337 00:24:31,680 --> 00:24:35,040 Speaker 1: two students at the school, and two days later gonne 338 00:24:35,080 --> 00:24:40,320 Speaker 1: down a MIT professor known only as John in a 339 00:24:40,400 --> 00:24:43,680 Speaker 1: Providence police affidavit. The source is being hailed by investigators 340 00:24:43,800 --> 00:24:47,000 Speaker 1: as the key figure who gave law enforcement the details 341 00:24:47,040 --> 00:24:50,280 Speaker 1: needed to determine who is behind the Brown shooting, as 342 00:24:50,320 --> 00:24:52,760 Speaker 1: well as the killing of the MIT professor who shot 343 00:24:52,760 --> 00:24:56,040 Speaker 1: in his Brookline home on Monday. Ever since a shooter 344 00:24:56,200 --> 00:24:59,919 Speaker 1: unloaded more than forty rounds inside of Brown Engineering building, 345 00:25:00,200 --> 00:25:04,680 Speaker 1: anxiety and frustration has plagued Providence, Rhode Island, as police 346 00:25:05,000 --> 00:25:08,719 Speaker 1: appeared no closer to identifying the person. Yet on the 347 00:25:08,760 --> 00:25:12,480 Speaker 1: sixth day of the investigation, the case gathered steam, ending 348 00:25:12,520 --> 00:25:15,359 Speaker 1: with police announcing late Thursday that they had found the 349 00:25:15,359 --> 00:25:19,600 Speaker 1: suspected gunman dead from self inflicted gunshot wound in New Hampshire. 350 00:25:19,600 --> 00:25:23,199 Speaker 1: The tipster John was the reason why he blew the 351 00:25:23,240 --> 00:25:28,960 Speaker 1: case right open, said Rhode Island Attorney General Peter Narana 352 00:25:29,000 --> 00:25:32,080 Speaker 1: of the information provided by the individual that resulted in 353 00:25:32,200 --> 00:25:35,760 Speaker 1: finding the gunman nearly twenty four hours after they received 354 00:25:35,760 --> 00:25:38,800 Speaker 1: this information. When you crack it, you crack it sounds 355 00:25:38,800 --> 00:25:42,200 Speaker 1: a little self congratulatory there, because this anonymous tipster came 356 00:25:42,240 --> 00:25:45,120 Speaker 1: to them. He didn't the authorities didn't find this guy. 357 00:25:45,280 --> 00:25:48,480 Speaker 1: According to police, John had several encounters. This is the 358 00:25:48,520 --> 00:25:52,360 Speaker 1: tipster with forty eight year old Claudio Manuel nvez Vlente 359 00:25:52,440 --> 00:25:55,760 Speaker 1: before Saturday's attack. As police posted images of a person 360 00:25:55,760 --> 00:26:00,400 Speaker 1: of interest, now identified as the killer, John began posting 361 00:26:00,480 --> 00:26:03,520 Speaker 1: on the social media form Reddit that he recognized the 362 00:26:03,560 --> 00:26:06,080 Speaker 1: person and theorized that people should look into possibly a 363 00:26:06,160 --> 00:26:10,919 Speaker 1: rental gray Nissan. Reddit users urged him to tell the FBI, 364 00:26:10,960 --> 00:26:13,000 Speaker 1: and John said he did. The police Appi David said 365 00:26:13,080 --> 00:26:15,920 Speaker 1: they learned about the tip on December sixteenth, three days 366 00:26:16,000 --> 00:26:18,600 Speaker 1: after the shooting and a day after the tip line 367 00:26:18,760 --> 00:26:22,200 Speaker 1: was created. Up until that point, the police APPI David 368 00:26:22,400 --> 00:26:25,679 Speaker 1: says officials had not connected a vehicle to the possible shooter. 369 00:26:27,640 --> 00:26:31,320 Speaker 1: That detail led them to get more video of a 370 00:26:31,400 --> 00:26:36,720 Speaker 1: Nissan Sentra sedan with Florida plates and enabled Providence police 371 00:26:36,760 --> 00:26:39,280 Speaker 1: officers to tap into a network of more than seventy 372 00:26:39,320 --> 00:26:44,440 Speaker 1: street cameras operated around the city by surveillance company Flock Safety. 373 00:26:44,560 --> 00:26:49,680 Speaker 1: None of those cameras were in the building when this occurred. 374 00:26:50,040 --> 00:26:53,119 Speaker 1: There were no cameras in there, cameras everywhere else. It 375 00:26:53,160 --> 00:26:57,600 Speaker 1: seems right. I mean, we live in a society these 376 00:26:57,680 --> 00:27:00,560 Speaker 1: days where cameras are everywhere, and they're not just from 377 00:27:00,880 --> 00:27:06,520 Speaker 1: government surveillance, from people walking around with the phones. That's 378 00:27:06,520 --> 00:27:12,480 Speaker 1: the other thing that which didn't quite make the press 379 00:27:12,520 --> 00:27:19,199 Speaker 1: conference at all. There were dozens of eyewitnesses to this killing, 380 00:27:19,880 --> 00:27:27,719 Speaker 1: and he did yell stuff at the He yelled things 381 00:27:27,800 --> 00:27:32,760 Speaker 1: while he was shooting his rifle, his weapon that killed 382 00:27:33,400 --> 00:27:36,719 Speaker 1: two students, But no one knows what he said and 383 00:27:36,760 --> 00:27:40,240 Speaker 1: no one would report what he said. The affidavit says 384 00:27:40,840 --> 00:27:46,040 Speaker 1: John the Tipster gave investigators additional critical details. He encountered 385 00:27:46,320 --> 00:27:50,280 Speaker 1: the killer in the bathroom of the engineering building just 386 00:27:50,440 --> 00:27:54,760 Speaker 1: hours before the attack, where John noted the suspect's clothing 387 00:27:54,960 --> 00:27:59,040 Speaker 1: was inappropriate and inadequate for the weather. John also bumped 388 00:27:59,080 --> 00:28:03,600 Speaker 1: into the outside mere blocks from the building, where John 389 00:28:03,680 --> 00:28:07,480 Speaker 1: the Tipster watched the killer suddenly turn around from the 390 00:28:07,560 --> 00:28:11,000 Speaker 1: Nissan when he saw John the Tipster. What ensued was 391 00:28:11,000 --> 00:28:13,640 Speaker 1: a game of cat and mouse, according to John's testimony, 392 00:28:13,680 --> 00:28:15,800 Speaker 1: where the two would encounter each other and the killer 393 00:28:15,840 --> 00:28:19,480 Speaker 1: would run away. At one point, John says he yelled out, 394 00:28:19,480 --> 00:28:22,399 Speaker 1: your car is back here. Why are you circling the block. 395 00:28:23,880 --> 00:28:27,119 Speaker 1: The suspect responded, I don't know you from nobody. Then 396 00:28:27,280 --> 00:28:30,520 Speaker 1: the suspect repeatedly asked, why are you harassing me? According 397 00:28:30,560 --> 00:28:33,080 Speaker 1: to the fi David John told police he eventually saw 398 00:28:33,800 --> 00:28:36,800 Speaker 1: Valente approach the Nissan Sidan once more and decided to 399 00:28:36,840 --> 00:28:39,680 Speaker 1: walk away respectfully. I have said all I have to 400 00:28:39,720 --> 00:28:42,560 Speaker 1: say on the matter to the right people, the tipster 401 00:28:42,600 --> 00:28:44,640 Speaker 1: wrote on read It. As of Thursday, it's unknown whether 402 00:28:44,720 --> 00:28:48,120 Speaker 1: John will receive the fifty thousand dollars reward. Ted Dox, 403 00:28:48,200 --> 00:28:50,160 Speaker 1: the Special Agent in charge of the FBI, said it 404 00:28:50,200 --> 00:28:53,680 Speaker 1: was possible when asked by reporters, it would be logical 405 00:28:53,720 --> 00:28:58,800 Speaker 1: to think that he's entitled to it, et cetera. Yeah, 406 00:28:58,960 --> 00:29:06,719 Speaker 1: so just a really odd situation that led to this killer, 407 00:29:07,960 --> 00:29:13,560 Speaker 1: not us not knowing right away what you know, he 408 00:29:13,640 --> 00:29:18,880 Speaker 1: looked like it was. The video surveillance footage was from 409 00:29:18,960 --> 00:29:22,360 Speaker 1: him outside the building, But if they had cameras in 410 00:29:22,400 --> 00:29:25,600 Speaker 1: the building, you know, we're not looking to see the 411 00:29:25,640 --> 00:29:29,680 Speaker 1: actual murder occurring, but could have probably had some nice 412 00:29:29,880 --> 00:29:33,640 Speaker 1: zoom in pictures of his face, could have maybe found 413 00:29:33,640 --> 00:29:39,640 Speaker 1: this guy a lot earlier. We could have maybe maybe 414 00:29:40,240 --> 00:29:45,080 Speaker 1: saved the life of the professor in Massachusetts at MIT 415 00:29:45,560 --> 00:29:53,720 Speaker 1: who he killed. I mean, if footage was put out 416 00:29:53,920 --> 00:29:57,600 Speaker 1: immediately after this occurred, that this guy is on the lamb, 417 00:29:58,080 --> 00:30:01,560 Speaker 1: somebody find him, Gray Nissan, he went, he could have 418 00:30:01,600 --> 00:30:06,160 Speaker 1: been pulled over. You know that next day. Instead he 419 00:30:06,240 --> 00:30:10,800 Speaker 1: went and killed someone else and then killed himself at 420 00:30:10,800 --> 00:30:16,360 Speaker 1: a storage unit in New Hampshire. So I know these 421 00:30:16,440 --> 00:30:19,680 Speaker 1: kind of phrases become cliches in a situation like this, 422 00:30:20,320 --> 00:30:25,680 Speaker 1: but blood on your hands comes to light when you 423 00:30:27,120 --> 00:30:31,080 Speaker 1: don't do the things that you could do after something 424 00:30:31,400 --> 00:30:35,000 Speaker 1: awful like this occurs. Talking about local authorities, talking about 425 00:30:35,200 --> 00:30:40,280 Speaker 1: the police chief there, talking about the people running Brown University. 426 00:30:40,360 --> 00:30:45,160 Speaker 1: You know what a statistic I heard too that the 427 00:30:45,240 --> 00:30:53,280 Speaker 1: amount of administrators at Brown University are one for every 428 00:30:53,600 --> 00:30:58,320 Speaker 1: two students. This is kind of an aside, but you 429 00:30:58,360 --> 00:31:03,520 Speaker 1: know this is these IVY leagues multi billion dollar endowment. Okay, 430 00:31:03,560 --> 00:31:08,360 Speaker 1: they have a bottomless pit of money, and so they 431 00:31:08,440 --> 00:31:10,880 Speaker 1: just keep adding staff and adding staff and adding staff. 432 00:31:10,920 --> 00:31:13,560 Speaker 1: And this is how the UH I know this is. 433 00:31:13,640 --> 00:31:16,200 Speaker 1: This is separate from the murder. It's just in the side, 434 00:31:16,600 --> 00:31:19,880 Speaker 1: but it goes to so many other issues and problems 435 00:31:19,920 --> 00:31:25,720 Speaker 1: with this country, with how the tuition at not just 436 00:31:25,800 --> 00:31:28,040 Speaker 1: IVY League schools, but state schools, I mean the state 437 00:31:28,080 --> 00:31:30,600 Speaker 1: we live in Illinois, tuition absolutely through the roof. So 438 00:31:30,680 --> 00:31:34,320 Speaker 1: much of it has to do with the administrators and 439 00:31:34,360 --> 00:31:41,360 Speaker 1: the staff of these colleges. Two administrators per student. I'm sorry, 440 00:31:41,400 --> 00:31:45,240 Speaker 1: two students per administrator. So, however many people there are 441 00:31:45,280 --> 00:31:47,040 Speaker 1: at Brown University, Let's say that there's I don't know, 442 00:31:47,080 --> 00:31:52,680 Speaker 1: fifteen thousand. They've got seven thousand administrators, seven thousand employees there. 443 00:31:52,760 --> 00:31:56,040 Speaker 1: That's insane. That costs those costs a lot of money. 444 00:31:56,160 --> 00:31:59,720 Speaker 1: So seven thousand people. Again I'm pulling the numbers out, 445 00:32:00,520 --> 00:32:03,640 Speaker 1: but it's you know, half of the amount of students there. 446 00:32:03,640 --> 00:32:06,360 Speaker 1: It should be like, what, how many people do you 447 00:32:06,360 --> 00:32:10,560 Speaker 1: need to run a university of fifteen thousand students? One 448 00:32:10,640 --> 00:32:16,600 Speaker 1: hundred maybe two hundred seven thousand. That's a lot. And 449 00:32:16,920 --> 00:32:23,040 Speaker 1: among those seven thousand, none of them, you know, after 450 00:32:23,440 --> 00:32:27,720 Speaker 1: this awful thing occurred at least and who knows, I 451 00:32:27,720 --> 00:32:32,440 Speaker 1: shouldn't jump to this conclusion. Maybe hopefully the people in 452 00:32:32,520 --> 00:32:35,800 Speaker 1: charge at Brian University are really getting hard questions answered 453 00:32:36,080 --> 00:32:39,640 Speaker 1: about this, because again, you can't. There's only so much 454 00:32:39,680 --> 00:32:44,240 Speaker 1: you can do to stop someone who's hell bent on 455 00:32:44,360 --> 00:32:47,320 Speaker 1: murdering people from murdering people, especially if he doesn't value 456 00:32:47,360 --> 00:32:50,760 Speaker 1: his own life. You know, a suicide attack or a 457 00:32:50,920 --> 00:32:54,640 Speaker 1: you know, suicide by cop that killers do often, or 458 00:32:54,680 --> 00:32:56,720 Speaker 1: someone who was just you know, ready to take someone 459 00:32:56,760 --> 00:32:59,960 Speaker 1: else's life. They often take their own There's almost no 460 00:33:00,080 --> 00:33:02,360 Speaker 1: much you could do to stop that. But there are 461 00:33:02,520 --> 00:33:06,800 Speaker 1: things you can attempt to do, and there are things 462 00:33:06,800 --> 00:33:11,000 Speaker 1: you can do like the Mark Dallas hero I talked 463 00:33:11,040 --> 00:33:14,920 Speaker 1: about in Illinois who took proactive action to stop a 464 00:33:14,960 --> 00:33:18,160 Speaker 1: shooter from from killing people and Dixon, Illinois years ago. 465 00:33:19,280 --> 00:33:22,360 Speaker 1: And then also, if God forbid a killer is successful, 466 00:33:22,360 --> 00:33:25,080 Speaker 1: remember the was it the was it? I forget which 467 00:33:25,680 --> 00:33:28,560 Speaker 1: killing it was. I think it was in Florida where 468 00:33:28,800 --> 00:33:31,560 Speaker 1: the people who went to the scene or the cops 469 00:33:31,640 --> 00:33:35,000 Speaker 1: just stayed outside for you know, an inordinate amount of 470 00:33:35,000 --> 00:33:40,000 Speaker 1: time before UH, and and countless other people died. It 471 00:33:40,080 --> 00:33:45,000 Speaker 1: was just absolutely insane. But in any event, UH, we 472 00:33:45,240 --> 00:33:46,640 Speaker 1: are going to take a break and we will be 473 00:33:46,720 --> 00:33:49,280 Speaker 1: right back. This is Tony Katz today. I am Mike 474 00:33:49,280 --> 00:33:52,040 Speaker 1: Coolidge in for Tony. Stay with us. We are back 475 00:33:52,520 --> 00:33:57,720 Speaker 1: on Tony Katz today. I am Mike Coolidge in for 476 00:33:58,120 --> 00:34:01,680 Speaker 1: Tony Katz. Coolidge spelled with a K K O O 477 00:34:01,920 --> 00:34:05,560 Speaker 1: L I d G E. Follow me on X and 478 00:34:06,280 --> 00:34:09,279 Speaker 1: Merry Christmas to you and yours and happy Hanukkah to 479 00:34:09,400 --> 00:34:14,480 Speaker 1: those celebrating. You might be on your way to the airport, 480 00:34:14,760 --> 00:34:21,000 Speaker 1: and if you are I read a piece that said, please, 481 00:34:21,640 --> 00:34:23,919 Speaker 1: for the love of all things holy, do not put 482 00:34:23,960 --> 00:34:28,399 Speaker 1: your coat in the overhead bin. That is a new 483 00:34:28,480 --> 00:34:32,600 Speaker 1: tip I've heard, hadn't heard it before, but being you know, 484 00:34:32,880 --> 00:34:39,719 Speaker 1: wintery coat time, people who want to save room in 485 00:34:39,760 --> 00:34:42,720 Speaker 1: their seats put the coat up there. Apparently those bins 486 00:34:42,760 --> 00:34:48,359 Speaker 1: are very rarely cleaned and it is annoying for people 487 00:34:48,400 --> 00:34:52,360 Speaker 1: who want to put their luggage up there. So the 488 00:34:52,440 --> 00:34:57,080 Speaker 1: tip is either wear coat in the seat or put 489 00:34:57,080 --> 00:34:59,520 Speaker 1: it under the seat in front of you when you 490 00:34:59,520 --> 00:35:02,799 Speaker 1: sit down, but don't put it in the overhead bin. 491 00:35:04,200 --> 00:35:07,200 Speaker 1: That's that's a tip I heard. If you did that before, 492 00:35:07,640 --> 00:35:09,680 Speaker 1: or if you did it on the maybe you're dripping 493 00:35:09,680 --> 00:35:11,440 Speaker 1: back from the airport right now, jam on you, what 494 00:35:11,480 --> 00:35:14,680 Speaker 1: do you what are you thinking? But next time you 495 00:35:14,719 --> 00:35:18,279 Speaker 1: won't do that, right but uh yeah, if you're on 496 00:35:18,320 --> 00:35:20,480 Speaker 1: your way to the airport, please do not put your 497 00:35:20,800 --> 00:35:22,680 Speaker 1: coat in the overhead bad We'll be right back.