1 00:00:03,680 --> 00:00:05,880 Speaker 1: Hi, everyone, Welcome the Mother Knows Death. 2 00:00:06,240 --> 00:00:06,480 Speaker 2: Boy. 3 00:00:06,559 --> 00:00:11,000 Speaker 1: We've had some breaking news stories over the weekend, so 4 00:00:11,160 --> 00:00:13,520 Speaker 1: many of them that we thought we couldn't even wait 5 00:00:13,600 --> 00:00:16,640 Speaker 1: until tomorrow's episode. So we're just gonna have a quick 6 00:00:17,200 --> 00:00:20,400 Speaker 1: little episode this morning going over some of the major 7 00:00:20,400 --> 00:00:24,279 Speaker 1: breaking news stories that happened this weekend, of course the 8 00:00:24,320 --> 00:00:28,320 Speaker 1: most shocking being of Rob and Michelle Reiner. But first, 9 00:00:28,680 --> 00:00:31,960 Speaker 1: let's talk about what happened before all of that happened yesterday. 10 00:00:31,960 --> 00:00:35,640 Speaker 1: There were two shootings over the weekend, one in America 11 00:00:35,720 --> 00:00:38,560 Speaker 1: one in Australia that were pretty significant. 12 00:00:39,240 --> 00:00:42,080 Speaker 2: All right, So these two shootings, I just can't even 13 00:00:42,120 --> 00:00:44,599 Speaker 2: believe what happened over this weekend. Seriously, it was like 14 00:00:44,640 --> 00:00:46,960 Speaker 2: a never ending news cycle. You know. I was doing 15 00:00:47,000 --> 00:00:50,120 Speaker 2: the stories for this week too, like changing all the 16 00:00:50,120 --> 00:00:52,760 Speaker 2: titles and stuff, and we have over fifty five in 17 00:00:52,800 --> 00:00:54,520 Speaker 2: there right now for this week. 18 00:00:54,640 --> 00:00:58,120 Speaker 1: Yeah, and I didn't even really look for any yet. 19 00:00:58,200 --> 00:01:00,880 Speaker 1: So obviously we tell you you guys all the time 20 00:01:00,960 --> 00:01:03,560 Speaker 1: that in the gross room we cover the other stories 21 00:01:03,560 --> 00:01:07,319 Speaker 1: that we don't talk about on Mother No's death. So yeah, 22 00:01:07,360 --> 00:01:09,880 Speaker 1: so let I mean, all right, let's talk about the 23 00:01:09,880 --> 00:01:12,480 Speaker 1: shootings first, and then we'll talk about what happened last night, 24 00:01:12,520 --> 00:01:15,520 Speaker 1: because that was crazy, but the stories with the shootings 25 00:01:15,560 --> 00:01:17,320 Speaker 1: are all so crazy, all right. 26 00:01:17,360 --> 00:01:20,039 Speaker 2: So we had these two major mass shootings over the weekend. 27 00:01:20,440 --> 00:01:23,360 Speaker 2: So there was one at Brown University which ended up killing. 28 00:01:23,560 --> 00:01:26,520 Speaker 2: As of now, they're reporting two students have died. So 29 00:01:26,840 --> 00:01:28,880 Speaker 2: last night there was reports that they had taken a 30 00:01:28,920 --> 00:01:31,280 Speaker 2: person of interest into custody, but they have since let 31 00:01:31,319 --> 00:01:33,920 Speaker 2: them go. And one of the craziest parts of this 32 00:01:34,040 --> 00:01:35,959 Speaker 2: story for me is that two of the students who 33 00:01:35,959 --> 00:01:38,280 Speaker 2: were at the school that day this was not their 34 00:01:38,319 --> 00:01:40,760 Speaker 2: first shooting. One of the girls was shot in a 35 00:01:40,800 --> 00:01:44,240 Speaker 2: twenty twenty one shooting outside outside of Los Angeles out 36 00:01:44,280 --> 00:01:46,800 Speaker 2: of high school, and another student was at a school 37 00:01:46,840 --> 00:01:49,760 Speaker 2: adjacent to the Parkland High School during that shooting in Florida. 38 00:01:50,880 --> 00:01:53,720 Speaker 1: Well, I think that this is going to become more 39 00:01:53,800 --> 00:01:56,920 Speaker 1: common because most people, I mean I know older people 40 00:01:56,960 --> 00:01:59,360 Speaker 1: go to college as well, but the majority of people 41 00:01:59,400 --> 00:02:02,920 Speaker 1: that are that are at college, especially living there, are 42 00:02:03,200 --> 00:02:07,560 Speaker 1: are younger people, right, So the chances of them experiencing 43 00:02:07,640 --> 00:02:09,720 Speaker 1: this in their school life just because there are so 44 00:02:09,800 --> 00:02:13,160 Speaker 1: many school shootings every year or just increasing as time 45 00:02:13,320 --> 00:02:19,280 Speaker 1: goes on. That case in particular, I mean listen, like, 46 00:02:20,080 --> 00:02:22,880 Speaker 1: I don't want to talk shit because I'm not obviously 47 00:02:22,919 --> 00:02:25,680 Speaker 1: I've never worked in law enforcement and stuff, but just 48 00:02:25,760 --> 00:02:28,840 Speaker 1: being an average lay person that's just watching the news 49 00:02:28,880 --> 00:02:32,920 Speaker 1: and watching how the investigations unfolding, it just seems like 50 00:02:33,040 --> 00:02:37,600 Speaker 1: it's a total shit show. And I was actually so 51 00:02:38,000 --> 00:02:42,280 Speaker 1: my kids, as you guys know that I was posting 52 00:02:42,320 --> 00:02:45,840 Speaker 1: on Instagram yesterday it snowed here, like, I mean, six inches, 53 00:02:46,080 --> 00:02:48,359 Speaker 1: wasn't It's not that much compared to people that live 54 00:02:48,520 --> 00:02:50,600 Speaker 1: up north, but like it's kind of a lot here 55 00:02:50,720 --> 00:02:55,440 Speaker 1: for especially in December. So my kids had a two 56 00:02:55,560 --> 00:02:59,440 Speaker 1: hour delay for school today, which means that I let 57 00:02:59,520 --> 00:03:01,959 Speaker 1: them stay later last night. So I was just up 58 00:03:02,160 --> 00:03:05,400 Speaker 1: later than I normally would be, like listening to the 59 00:03:05,440 --> 00:03:08,840 Speaker 1: news and paying attention to things, and I saw that 60 00:03:08,880 --> 00:03:13,520 Speaker 1: they were having a press conference for this Brown University thing, 61 00:03:14,360 --> 00:03:18,680 Speaker 1: and I guess I was shocked because all day if 62 00:03:18,720 --> 00:03:22,640 Speaker 1: you tuned into Fox News or to CNN or anything 63 00:03:22,680 --> 00:03:26,400 Speaker 1: like that, they weren't naming who the shooter was that 64 00:03:26,440 --> 00:03:30,480 Speaker 1: they had in custody. However, when you're on social media, 65 00:03:30,520 --> 00:03:34,920 Speaker 1: this guy's picture was all over social media talking about 66 00:03:35,000 --> 00:03:37,880 Speaker 1: oh it was this twenty four year old guy from Wisconsin, 67 00:03:38,000 --> 00:03:40,280 Speaker 1: and he had he was I think it said that 68 00:03:40,320 --> 00:03:44,320 Speaker 1: he was in the military, and his picture was plastered 69 00:03:44,360 --> 00:03:48,840 Speaker 1: all over, and I thought, that's weird that someone leaked 70 00:03:48,840 --> 00:03:52,800 Speaker 1: his name. Obviously, every single person on social media, it's 71 00:03:52,840 --> 00:03:56,720 Speaker 1: like spreading like wildfire, and none of the news outlets 72 00:03:56,720 --> 00:04:00,200 Speaker 1: are actually reporting this guy's name. So I thought that 73 00:04:00,280 --> 00:04:02,680 Speaker 1: was a little weird. And then I tune into this 74 00:04:02,800 --> 00:04:07,160 Speaker 1: press conference and I was shocked when they said, oh, 75 00:04:07,200 --> 00:04:09,680 Speaker 1: we let the guy go and we really just don't 76 00:04:09,720 --> 00:04:14,560 Speaker 1: have this person in custody. And so now everyone that 77 00:04:14,600 --> 00:04:17,360 Speaker 1: lives around there is like, oh cool, So there's just 78 00:04:17,400 --> 00:04:20,599 Speaker 1: this crazy gunman on the loose, and now it's been 79 00:04:20,800 --> 00:04:24,040 Speaker 1: it's been days, so who knows if he's even around 80 00:04:24,080 --> 00:04:26,480 Speaker 1: there anymore, or if he's in our neighborhood or whatever, 81 00:04:26,800 --> 00:04:30,600 Speaker 1: you know what I mean. Like, it's just and then 82 00:04:30,640 --> 00:04:35,440 Speaker 1: they just released the footage and there's barely any footage. 83 00:04:36,600 --> 00:04:40,480 Speaker 1: The reporters are actually really calling out everyone, which is 84 00:04:40,600 --> 00:04:43,000 Speaker 1: kind of awesome because you don't see that often. 85 00:04:43,680 --> 00:04:46,960 Speaker 2: Well, yeah, and they're smart not reporting that person's name immediately, 86 00:04:47,000 --> 00:04:49,880 Speaker 2: because if it really wasn't that person, then the press 87 00:04:49,880 --> 00:04:52,360 Speaker 2: could have a serious lawsuit on their hands because they're 88 00:04:52,360 --> 00:04:53,719 Speaker 2: going to ruin that person's life. 89 00:04:53,800 --> 00:04:56,560 Speaker 1: Someone should definitely get in trouble. 90 00:04:56,640 --> 00:04:56,839 Speaker 2: Now. 91 00:04:57,120 --> 00:04:59,400 Speaker 1: I don't want to say one hundred percent because just 92 00:04:59,440 --> 00:05:04,039 Speaker 1: because let this guy go, I mean, I don't understand 93 00:05:04,080 --> 00:05:07,719 Speaker 1: how they just were so off. But whatever they let 94 00:05:07,760 --> 00:05:11,080 Speaker 1: this guy go, it doesn't one hundred percent mean that 95 00:05:11,120 --> 00:05:13,240 Speaker 1: he's not involved. It just means they don't have anything 96 00:05:13,279 --> 00:05:17,560 Speaker 1: to hold him. But I'd still say, whoever leaked it? 97 00:05:17,680 --> 00:05:20,960 Speaker 1: And I mean, yes, this guy is a young guy 98 00:05:21,000 --> 00:05:24,040 Speaker 1: and they leaked his picture, his name, all his information, 99 00:05:24,200 --> 00:05:27,880 Speaker 1: his parents' name, everything all over online. How is he 100 00:05:27,960 --> 00:05:30,919 Speaker 1: gonna recover from that, even if it turns out that 101 00:05:31,000 --> 00:05:35,800 Speaker 1: he was completely not involved. It's just really unfortunate. And 102 00:05:36,600 --> 00:05:39,320 Speaker 1: I mean that's just going to be the way it 103 00:05:39,400 --> 00:05:41,120 Speaker 1: is from now on, and we're going to have to 104 00:05:41,160 --> 00:05:44,920 Speaker 1: get used to that. And I guess the same could 105 00:05:44,960 --> 00:05:46,760 Speaker 1: be said with all of the stories that we're going 106 00:05:46,880 --> 00:05:51,480 Speaker 1: to talk about today. Honestly, because social media, I found 107 00:05:51,480 --> 00:05:54,360 Speaker 1: out so many things. It's to the point where you're 108 00:05:54,400 --> 00:05:56,480 Speaker 1: just like, why am I even watching the news anymore? 109 00:05:56,480 --> 00:06:01,719 Speaker 1: I'm hearing all this shit online like sometimes hours before 110 00:06:01,800 --> 00:06:03,400 Speaker 1: the news even releases it. 111 00:06:03,720 --> 00:06:07,120 Speaker 2: Yeah, but that's difficult because like, for example, like sometimes 112 00:06:07,160 --> 00:06:10,880 Speaker 2: we'll see something on Instagram x Facebook, right, and we'll 113 00:06:10,880 --> 00:06:13,200 Speaker 2: throw it in the stories, and then when I start 114 00:06:13,240 --> 00:06:16,520 Speaker 2: looking for anything backing it up, there's nothing, And then 115 00:06:16,520 --> 00:06:19,160 Speaker 2: it turns out some of them are just completely fabricated. 116 00:06:19,520 --> 00:06:21,640 Speaker 2: And what you were just saying reminds me of when 117 00:06:22,000 --> 00:06:24,839 Speaker 2: that person I believe on TikTok was falsely accusing a 118 00:06:24,880 --> 00:06:28,960 Speaker 2: professor at either Washington State University or Idaho where the 119 00:06:29,040 --> 00:06:33,479 Speaker 2: kids were killed, of being the suspect, right, And it's 120 00:06:33,560 --> 00:06:36,760 Speaker 2: like that that professor ended up seeing that person and 121 00:06:36,800 --> 00:06:39,200 Speaker 2: they had every rate because they had no credible claims 122 00:06:39,240 --> 00:06:42,000 Speaker 2: backing that up. And now this person's all over with 123 00:06:42,080 --> 00:06:45,120 Speaker 2: all these crazy online salutes and their life is getting 124 00:06:45,200 --> 00:06:46,240 Speaker 2: ruined for no reason. 125 00:06:47,160 --> 00:06:52,279 Speaker 1: Well even right as us recording this episode, I have 126 00:06:52,400 --> 00:06:55,960 Speaker 1: gone on social media and see posts still circulating with 127 00:06:56,120 --> 00:06:59,920 Speaker 1: the picture of the other guy saying that the shooter 128 00:07:00,279 --> 00:07:04,480 Speaker 1: from the Brown University has been caught, And I'm just like, 129 00:07:04,839 --> 00:07:07,760 Speaker 1: I don't understand why every single influencer in the world 130 00:07:07,960 --> 00:07:11,520 Speaker 1: isn't taking that down now because it's been known that 131 00:07:11,680 --> 00:07:14,640 Speaker 1: he's not the guy anymore. But at the same time, 132 00:07:14,760 --> 00:07:17,440 Speaker 1: some of these posts have millions of views and maybe 133 00:07:17,440 --> 00:07:21,120 Speaker 1: they're getting money from them, so they have no interest 134 00:07:21,120 --> 00:07:22,000 Speaker 1: in taking them down. 135 00:07:22,240 --> 00:07:25,120 Speaker 2: Yeah, but the news might be slow, but it's because 136 00:07:25,160 --> 00:07:28,080 Speaker 2: they have not that they're perfect either, because they definitely 137 00:07:28,120 --> 00:07:30,520 Speaker 2: mess stuff up too, but they have a more credible 138 00:07:30,560 --> 00:07:35,040 Speaker 2: system effect checking and getting credible sources, whereas people anymore 139 00:07:35,080 --> 00:07:37,760 Speaker 2: online are just posting whatever they see and then there's 140 00:07:37,840 --> 00:07:43,320 Speaker 2: like no accountability for damaging somebody's reputation, all. 141 00:07:43,280 --> 00:07:46,760 Speaker 1: Right, So so so yeah, I mean you're right about that. 142 00:07:46,800 --> 00:07:49,040 Speaker 1: And anyway with this case, I mean we'll stay on 143 00:07:49,120 --> 00:07:51,800 Speaker 1: top of this more. And this is like I obviously 144 00:07:51,840 --> 00:07:54,760 Speaker 1: I want to focus most today on the Rob and 145 00:07:54,800 --> 00:07:59,400 Speaker 1: Michelle Reiner case, but but yeah, I don't know. I 146 00:07:59,520 --> 00:08:03,560 Speaker 1: just watched press conference last night and it just I 147 00:08:03,680 --> 00:08:07,400 Speaker 1: just I just can't believe. I almost feel like these 148 00:08:07,440 --> 00:08:10,400 Speaker 1: people just like don't have practice in what happens in 149 00:08:10,440 --> 00:08:13,440 Speaker 1: an emergency or something. It just seems all over the place, 150 00:08:13,520 --> 00:08:17,160 Speaker 1: and I just keep thinking, like if my kid was 151 00:08:17,240 --> 00:08:21,040 Speaker 1: at school there, how I just would not feel safe. 152 00:08:21,120 --> 00:08:24,320 Speaker 1: Like they're putting out some statement like, oh, well, the 153 00:08:24,400 --> 00:08:28,800 Speaker 1: shelter in place thing is lifted, because ever since that 154 00:08:29,280 --> 00:08:33,040 Speaker 1: initial call that we got there hasn't been any threats 155 00:08:33,040 --> 00:08:35,480 Speaker 1: to the public, and you're just like, yeah, but there 156 00:08:35,480 --> 00:08:38,240 Speaker 1: were no threats to the public when a guy walked 157 00:08:38,240 --> 00:08:40,360 Speaker 1: in a classroom and shot a bunch of people and 158 00:08:40,440 --> 00:08:45,319 Speaker 1: killed bunch of people. So like, your argument is weak, 159 00:08:45,520 --> 00:08:48,960 Speaker 1: and I understand that you're in a hard place because 160 00:08:49,000 --> 00:08:53,000 Speaker 1: you don't want the public to be panicking because you 161 00:08:53,080 --> 00:08:57,120 Speaker 1: have a whole entire area where not only the universities, 162 00:08:57,120 --> 00:09:01,560 Speaker 1: but just people who live nearby go to school, send 163 00:09:01,600 --> 00:09:03,880 Speaker 1: their kids to school around there, go to work around there, 164 00:09:04,360 --> 00:09:09,480 Speaker 1: and as of right now, we don't even know. I mean, 165 00:09:09,559 --> 00:09:12,000 Speaker 1: obviously it was targeted, right you don't just go in 166 00:09:12,040 --> 00:09:16,120 Speaker 1: a specific university, in a specific classroom and kill specific people. 167 00:09:16,679 --> 00:09:19,080 Speaker 1: But like, what was the motivation of that? Was it 168 00:09:19,920 --> 00:09:22,920 Speaker 1: a boyfriend killing a girlfriend and it was a domestic 169 00:09:22,960 --> 00:09:28,640 Speaker 1: situation or was it like a racial or politically moved thing, 170 00:09:28,800 --> 00:09:31,440 Speaker 1: Like like, who's the target and who needs to be 171 00:09:31,559 --> 00:09:33,240 Speaker 1: worried right now? Well? 172 00:09:33,320 --> 00:09:36,040 Speaker 2: Yeah, because who's to say, Like it's very busy out 173 00:09:36,080 --> 00:09:38,280 Speaker 2: right now, it's the holidays, people are doing more stuff 174 00:09:38,280 --> 00:09:40,319 Speaker 2: out there, going shopping. Like what's to say this person's 175 00:09:40,360 --> 00:09:42,000 Speaker 2: not going to go out in public and do it 176 00:09:42,040 --> 00:09:44,320 Speaker 2: somewhere else if they got so much satisfaction from that 177 00:09:44,760 --> 00:09:46,280 Speaker 2: and weren't caught. 178 00:09:46,840 --> 00:09:50,880 Speaker 1: Yeah, I really, I don't know. It's just to think 179 00:09:50,920 --> 00:09:54,040 Speaker 1: about and listen, Like the police could totally be lying 180 00:09:54,080 --> 00:09:56,680 Speaker 1: and telling us that this is the only video that 181 00:09:56,720 --> 00:10:00,280 Speaker 1: they have. But in my opinion, if they don't have 182 00:10:00,280 --> 00:10:06,040 Speaker 1: a suspect right now, and they don't have they need 183 00:10:06,080 --> 00:10:08,679 Speaker 1: the public's help to show pictures. So the public could 184 00:10:08,720 --> 00:10:10,800 Speaker 1: be like, we know who this guy is, so it 185 00:10:10,840 --> 00:10:13,520 Speaker 1: would be the best for them to show all of 186 00:10:13,559 --> 00:10:15,559 Speaker 1: the available evidence they have. 187 00:10:15,760 --> 00:10:17,640 Speaker 2: Yeah, but I do want to play Devil's advocate with 188 00:10:17,720 --> 00:10:20,000 Speaker 2: that for a second, because I do think sometimes they 189 00:10:20,000 --> 00:10:23,320 Speaker 2: are so pressured to release information and then things start happening, 190 00:10:23,360 --> 00:10:25,680 Speaker 2: like you're ruining a person's life that actually has nothing 191 00:10:26,040 --> 00:10:28,599 Speaker 2: to do with it, or you're compromising the integrity of 192 00:10:28,640 --> 00:10:31,960 Speaker 2: the case when they should be keeping some stuff close 193 00:10:32,000 --> 00:10:32,600 Speaker 2: to their chest. 194 00:10:33,320 --> 00:10:36,440 Speaker 1: Just based upon though the press conference, and I could 195 00:10:36,440 --> 00:10:39,880 Speaker 1: only go upon what they what they've said directly, like 196 00:10:39,960 --> 00:10:43,000 Speaker 1: it seems like they legitimately have no other film of 197 00:10:43,040 --> 00:10:47,240 Speaker 1: this guy. And I mean they post that online and 198 00:10:47,880 --> 00:10:52,040 Speaker 1: the comments are just so they're so good that just 199 00:10:52,040 --> 00:10:56,079 Speaker 1: like ripping these people. One of them showed the little 200 00:10:56,640 --> 00:10:58,559 Speaker 1: you know when you go to like the men's or 201 00:10:58,600 --> 00:11:00,600 Speaker 1: the women's room and there's the outline of the man 202 00:11:00,720 --> 00:11:03,760 Speaker 1: or the outline of the woman. They showed the outline 203 00:11:03,800 --> 00:11:06,040 Speaker 1: of the man just in black, and they were like, Oh, 204 00:11:06,080 --> 00:11:08,400 Speaker 1: this is the suspect at large because that's like the 205 00:11:08,480 --> 00:11:11,480 Speaker 1: amount of information they're giving us a figure of a 206 00:11:11,520 --> 00:11:15,280 Speaker 1: person wearing black. Like it's so it's just like, yeah, 207 00:11:15,320 --> 00:11:20,040 Speaker 1: that's really helpful. So they're gonna have to find them 208 00:11:20,040 --> 00:11:23,240 Speaker 1: other ways, obviously. And this first one they were saying 209 00:11:23,280 --> 00:11:26,480 Speaker 1: that they found through tracking cell phone records and things 210 00:11:26,520 --> 00:11:28,880 Speaker 1: like that. And then they were saying that they found 211 00:11:28,920 --> 00:11:31,719 Speaker 1: this guy and they found these guns and he was 212 00:11:31,760 --> 00:11:34,280 Speaker 1: in some hotel. So you're just like, okay, well, is 213 00:11:34,280 --> 00:11:36,640 Speaker 1: that the same guy, like what or is that just 214 00:11:36,720 --> 00:11:38,800 Speaker 1: another guy that's in a hotel with a bunch of 215 00:11:38,840 --> 00:11:43,720 Speaker 1: guns that I have no idea? So and listen, like, 216 00:11:43,880 --> 00:11:48,120 Speaker 1: tomorrow's another day, so there might be a ton more 217 00:11:48,120 --> 00:11:52,840 Speaker 1: information about that. And I'm texting you know last night, 218 00:11:53,200 --> 00:11:56,080 Speaker 1: it's late, I'm texting you and Lauren and being like, dude, 219 00:11:56,120 --> 00:11:58,520 Speaker 1: what is happening right now? This is such a shit show. 220 00:11:58,559 --> 00:12:02,400 Speaker 1: And then all of a sudden, this breaking news comes 221 00:12:02,400 --> 00:12:08,440 Speaker 1: out about Rob and Michelle Reiner and which which was 222 00:12:08,520 --> 00:12:11,800 Speaker 1: really shocking. So I guess before we get into that, 223 00:12:11,960 --> 00:12:15,959 Speaker 1: just briefly, let's talk about the terrorist. It was a 224 00:12:16,080 --> 00:12:20,120 Speaker 1: terrorist attack that happened in Australia too, which is unusual 225 00:12:20,200 --> 00:12:23,880 Speaker 1: because they are a country with some of the strictest 226 00:12:23,880 --> 00:12:25,560 Speaker 1: gun laws in the entire world. 227 00:12:25,920 --> 00:12:28,360 Speaker 2: Well, what's really weird about this case too, is it 228 00:12:28,400 --> 00:12:31,160 Speaker 2: was a father and son pair of gunman too, so 229 00:12:31,200 --> 00:12:34,040 Speaker 2: it wasn't even a lone shooter. But they ended up 230 00:12:34,120 --> 00:12:38,280 Speaker 2: killing fifteen people during this honka celebration at Bondi Beach 231 00:12:38,320 --> 00:12:41,280 Speaker 2: in Sydney, and at least forty two people have been 232 00:12:41,280 --> 00:12:45,040 Speaker 2: hospitalized as of what we know right now. But the 233 00:12:45,080 --> 00:12:47,640 Speaker 2: police killed the father who was fifty on the scene, 234 00:12:47,679 --> 00:12:50,200 Speaker 2: and then the son, who was twenty four is now hospitalized. 235 00:12:50,200 --> 00:12:52,439 Speaker 2: So I wonder if he's going to give the motive. 236 00:12:52,520 --> 00:12:56,200 Speaker 2: I mean, clearly they were attacking a specific group of people, 237 00:12:56,280 --> 00:12:59,640 Speaker 2: but I wonder what other information he's going to offer 238 00:12:59,679 --> 00:13:00,240 Speaker 2: about this. 239 00:13:01,040 --> 00:13:04,040 Speaker 1: Yeah, and it's and talking about the strict gun laws, 240 00:13:04,080 --> 00:13:08,200 Speaker 1: like if you compare it to our country, it's like 241 00:13:08,960 --> 00:13:10,959 Speaker 1: when you think about some of the states that have 242 00:13:11,120 --> 00:13:13,680 Speaker 1: strict gun laws, Like when you're in Texas, for example, 243 00:13:13,760 --> 00:13:17,680 Speaker 1: you could legally openly carry a gun in some areas 244 00:13:17,760 --> 00:13:21,240 Speaker 1: and it's not very difficult to get one, whereas in 245 00:13:21,280 --> 00:13:24,240 Speaker 1: New Jersey it's one of the harder states to get one. 246 00:13:24,320 --> 00:13:30,079 Speaker 1: So in Australia, it's not like, like I guess right now, 247 00:13:30,160 --> 00:13:32,920 Speaker 1: if we go over to Pennsylvania or Texas, you could 248 00:13:32,960 --> 00:13:34,600 Speaker 1: just walk in a store and buy a gun like 249 00:13:34,640 --> 00:13:37,600 Speaker 1: in Walmart or something, right, But in New Jersey it's 250 00:13:37,640 --> 00:13:40,440 Speaker 1: not that easy. And it's the same in Australia, like 251 00:13:40,480 --> 00:13:42,320 Speaker 1: you have to get a license and you have to 252 00:13:42,840 --> 00:13:46,439 Speaker 1: specifically go through a lot of hoops to get a gun. 253 00:13:47,000 --> 00:13:52,000 Speaker 1: And I personally believe that that is a reason why 254 00:13:51,400 --> 00:13:56,280 Speaker 1: their gun crime is low, because they are very strict 255 00:13:56,320 --> 00:13:59,320 Speaker 1: of who has to get it, and sometimes if a 256 00:13:59,360 --> 00:14:03,679 Speaker 1: person wants to commit a crime impulsively, they have to 257 00:14:03,720 --> 00:14:06,880 Speaker 1: go through hoops and months of paperwork and money and 258 00:14:07,400 --> 00:14:11,439 Speaker 1: a process to get it, and that would take too 259 00:14:11,520 --> 00:14:14,720 Speaker 1: much time for an impulsive action. You can't just go 260 00:14:14,800 --> 00:14:17,400 Speaker 1: to the store and buy one easily like that, right. 261 00:14:17,920 --> 00:14:22,640 Speaker 1: But this so this dad actually had legal permits to 262 00:14:22,720 --> 00:14:26,360 Speaker 1: have these firearms for whatever reason that he was granted them, 263 00:14:26,880 --> 00:14:30,320 Speaker 1: and just by watching the video, they both know how 264 00:14:30,320 --> 00:14:32,120 Speaker 1: to shoot guns, and they both know what the hell 265 00:14:32,160 --> 00:14:36,080 Speaker 1: they're doing. And I guess the negative of this in 266 00:14:36,600 --> 00:14:40,960 Speaker 1: a place like Australia is that no one has guns. Therefore, 267 00:14:41,560 --> 00:14:47,440 Speaker 1: those people were just shooting people targets for over ten 268 00:14:47,680 --> 00:14:50,080 Speaker 1: eleven minutes because no one's armed there. 269 00:14:50,800 --> 00:14:53,480 Speaker 2: But there was that viral video right of somebody taking 270 00:14:53,520 --> 00:14:55,200 Speaker 2: down one of the yeah. 271 00:14:55,000 --> 00:14:58,280 Speaker 1: Which was which was actually so brave and the person 272 00:14:58,480 --> 00:15:01,160 Speaker 1: is such a hero. Yeah, I mean, just so brave 273 00:15:01,360 --> 00:15:04,880 Speaker 1: to do that, and he's in the hospital he got shot. 274 00:15:05,240 --> 00:15:07,680 Speaker 1: I think he didn't. I'm not sure that even realized 275 00:15:07,720 --> 00:15:11,680 Speaker 1: if there was another gunman or not. But there's some 276 00:15:11,920 --> 00:15:15,160 Speaker 1: videos circulating online that are over ten minutes long that 277 00:15:15,320 --> 00:15:18,680 Speaker 1: just show these people with a bolt action rifle just 278 00:15:18,840 --> 00:15:22,320 Speaker 1: shooting and shooting and shooting with just like not even 279 00:15:22,400 --> 00:15:25,200 Speaker 1: caring to take the time to do it because they 280 00:15:25,240 --> 00:15:28,320 Speaker 1: know that nobody's shooting back at them. It's so scary. 281 00:15:29,720 --> 00:15:33,320 Speaker 1: So yeah, and I mean, like children, it's just disgusting, 282 00:15:33,400 --> 00:15:36,840 Speaker 1: and like, listen, you're never even gonna be able to 283 00:15:36,880 --> 00:15:40,280 Speaker 1: get into the mind of a person that wants to 284 00:15:40,280 --> 00:15:43,680 Speaker 1: do something like that. But it's even like you were 285 00:15:43,720 --> 00:15:47,160 Speaker 1: saying earlier, it's just more disturbing that this is a 286 00:15:47,200 --> 00:15:50,400 Speaker 1: father son situation. We always talk about that, like how 287 00:15:50,440 --> 00:15:53,920 Speaker 1: do you you understand one person being sick, but how 288 00:15:53,920 --> 00:15:57,680 Speaker 1: do two people that think that way get together and 289 00:15:57,760 --> 00:16:00,720 Speaker 1: have those thoughts and decide to carry it out. There's 290 00:16:00,760 --> 00:16:04,080 Speaker 1: like not one person saying like maybe this isn't a 291 00:16:04,120 --> 00:16:07,720 Speaker 1: good idea or whatever. It's just a very it's it's 292 00:16:07,840 --> 00:16:11,000 Speaker 1: just weird. You think, like, how does that conversation even 293 00:16:11,080 --> 00:16:11,600 Speaker 1: come up? 294 00:16:11,880 --> 00:16:14,320 Speaker 2: Well, I even understand it more in this situation because 295 00:16:14,360 --> 00:16:16,200 Speaker 2: it's a father son So you don't know how this 296 00:16:16,360 --> 00:16:18,720 Speaker 2: kid was raised, if he was radicalized from the time 297 00:16:18,760 --> 00:16:21,480 Speaker 2: he was a little kid, right, But I think that well. 298 00:16:21,360 --> 00:16:23,760 Speaker 1: His mom, his mom was interviewed and said he was 299 00:16:23,800 --> 00:16:25,880 Speaker 1: a good boy and anybody would love to have a 300 00:16:25,920 --> 00:16:29,800 Speaker 1: son like hers. Well, she's one of the she's one 301 00:16:29,800 --> 00:16:30,440 Speaker 1: of those moms. 302 00:16:30,480 --> 00:16:33,320 Speaker 2: Yeah, there's listen, that could very well be true. Or 303 00:16:33,400 --> 00:16:36,280 Speaker 2: there's also I would like to argue more than not 304 00:16:36,440 --> 00:16:39,480 Speaker 2: toxic boy moms that say that all the time. Yeah, exactly, 305 00:16:39,800 --> 00:16:42,120 Speaker 2: But I think that applies with you know, like on 306 00:16:42,200 --> 00:16:46,000 Speaker 2: YouTube live over on Friday, we were talking about this 307 00:16:46,200 --> 00:16:51,920 Speaker 2: like crazy international satanic cult that was taking these horrific 308 00:16:52,160 --> 00:16:55,720 Speaker 2: videos of children. And it was not just I think 309 00:16:55,760 --> 00:16:58,240 Speaker 2: it was in Australia too, but there was also another 310 00:16:58,320 --> 00:17:01,600 Speaker 2: situation in the United States where all these guys were 311 00:17:01,640 --> 00:17:03,800 Speaker 2: spread around. And in that case, I'm like, how are 312 00:17:03,840 --> 00:17:08,440 Speaker 2: these people meeting up between like New Mexico, California, and 313 00:17:08,480 --> 00:17:12,160 Speaker 2: New York and then forming this really terrible internet behavior. 314 00:17:12,320 --> 00:17:13,640 Speaker 2: I just don't understand it. 315 00:17:13,920 --> 00:17:18,440 Speaker 1: Yeah, I don't either. So obviously, if more comes out 316 00:17:18,480 --> 00:17:20,800 Speaker 1: on that, at least in this case, they know who 317 00:17:20,840 --> 00:17:23,439 Speaker 1: the people are and I you know, they're gonna have 318 00:17:23,520 --> 00:17:27,720 Speaker 1: to trace it back and figure what happened. It's just 319 00:17:28,119 --> 00:17:31,359 Speaker 1: it's just really unfortunate. I mean, like, what else do 320 00:17:31,359 --> 00:17:34,040 Speaker 1: you have to say? This is like I feel like this, 321 00:17:34,720 --> 00:17:37,120 Speaker 1: and we don't even talk about all of them that happened, 322 00:17:37,160 --> 00:17:39,640 Speaker 1: but it just so happens that this was like bang 323 00:17:39,680 --> 00:17:44,240 Speaker 1: bang bang. So yeah, so yesterday, so now, you know, 324 00:17:44,400 --> 00:17:46,399 Speaker 1: I just had listened to the press conference on the 325 00:17:46,440 --> 00:17:49,080 Speaker 1: Brown University thing and was just like, Oh my god, 326 00:17:49,200 --> 00:17:51,600 Speaker 1: like what is happening with these police and these press 327 00:17:51,600 --> 00:17:54,600 Speaker 1: conferences and stuff. And then I hear, oh, there's gonna 328 00:17:54,640 --> 00:17:59,600 Speaker 1: be one on Rob and Michelle Reiner. So first it 329 00:17:59,760 --> 00:18:03,680 Speaker 1: came out that there was an emergency call. I guess 330 00:18:03,800 --> 00:18:08,280 Speaker 1: the paramedics or the fire department were called to Robin 331 00:18:09,600 --> 00:18:14,160 Speaker 1: Michelle Reiner's house, and then the fire department had called 332 00:18:14,160 --> 00:18:18,120 Speaker 1: the police to come. So clearly they saw something that 333 00:18:18,320 --> 00:18:21,440 Speaker 1: they thought the police needed to be involved. And they 334 00:18:21,440 --> 00:18:25,359 Speaker 1: weren't releasing their names at first, but they were saying 335 00:18:25,400 --> 00:18:28,880 Speaker 1: that the victims were both There were two people who 336 00:18:28,920 --> 00:18:32,520 Speaker 1: were dead, and one was sixty eight and one was 337 00:18:32,560 --> 00:18:36,320 Speaker 1: seventy eight, which just so happened to be their ages, 338 00:18:36,400 --> 00:18:40,920 Speaker 1: and they were the homeowners of the house. I don't 339 00:18:40,960 --> 00:18:44,000 Speaker 1: know why, and maybe it's we could talk about this 340 00:18:44,040 --> 00:18:47,680 Speaker 1: a little bit more in a minute about Gene Hackman situation. 341 00:18:48,440 --> 00:18:51,920 Speaker 1: I just my first thought wasn't that they were murdered. 342 00:18:51,960 --> 00:18:54,320 Speaker 1: I don't know, I don't know why, Like I just 343 00:18:55,760 --> 00:18:59,159 Speaker 1: I find I found it to just be like a 344 00:18:59,160 --> 00:19:03,160 Speaker 1: little shocking. When the press conference, right before the press 345 00:19:03,200 --> 00:19:05,479 Speaker 1: conference happened on the news, they were talking to a 346 00:19:05,520 --> 00:19:09,480 Speaker 1: reporter on the ground and she had said that they 347 00:19:09,520 --> 00:19:12,240 Speaker 1: were stabbed to death, and I was like, oh shit, 348 00:19:12,520 --> 00:19:13,720 Speaker 1: Like well, I. 349 00:19:13,680 --> 00:19:16,480 Speaker 2: Think too with Gene Hackman, and I always think of 350 00:19:16,560 --> 00:19:20,639 Speaker 2: Bob Saget, like they were just these weird things that happened, 351 00:19:20,640 --> 00:19:24,159 Speaker 2: but everybody was so convinced there was a crime behind it. 352 00:19:24,200 --> 00:19:27,680 Speaker 2: And even still we have all the autopsy reports and 353 00:19:27,720 --> 00:19:30,680 Speaker 2: the investigation everything, and people are just like, yeah, I'm 354 00:19:30,680 --> 00:19:33,080 Speaker 2: not buying it's something else happened. And it's like, no 355 00:19:33,760 --> 00:19:36,440 Speaker 2: celebrities or normal people too, and things happened to them. 356 00:19:36,760 --> 00:19:40,880 Speaker 2: But yeah, this was incredibly surprising. I understand why, even 357 00:19:40,920 --> 00:19:43,440 Speaker 2: though it was so obvious it was them, why they 358 00:19:43,520 --> 00:19:46,359 Speaker 2: might not want to release that information immediately, because maybe 359 00:19:46,359 --> 00:19:49,800 Speaker 2: they hadn't notified everybody in the family yet. But it's 360 00:19:49,880 --> 00:19:53,360 Speaker 2: just really sad because it seems like the daughter, their 361 00:19:53,440 --> 00:19:56,200 Speaker 2: daughter went to their house in the afternoon and found 362 00:19:56,240 --> 00:19:59,280 Speaker 2: them like that, and that's who placed the call. And 363 00:19:59,359 --> 00:20:01,919 Speaker 2: then we actually wrote this up as our dissection today, 364 00:20:02,400 --> 00:20:05,919 Speaker 2: but the reports coming out now or that she immediately 365 00:20:05,960 --> 00:20:08,399 Speaker 2: told the police that her brother should be a person 366 00:20:08,400 --> 00:20:11,160 Speaker 2: of interest and that he was dangerous, and her brother, 367 00:20:11,240 --> 00:20:13,720 Speaker 2: Nick has now been arrested. He is in custody and 368 00:20:13,760 --> 00:20:15,680 Speaker 2: being held on four million dollar bail. 369 00:20:17,760 --> 00:20:22,320 Speaker 1: If you are like the number one suspect in a 370 00:20:22,480 --> 00:20:27,399 Speaker 1: Dumble homicide, why is there a ball. Why, Well, we 371 00:20:27,440 --> 00:20:30,000 Speaker 1: asked this all the time, and I think somebody on 372 00:20:30,119 --> 00:20:34,120 Speaker 1: YouTube actually worked in the field and they said that 373 00:20:34,640 --> 00:20:37,919 Speaker 1: some states that's just the way the law is, Like 374 00:20:37,960 --> 00:20:42,480 Speaker 1: there's always bail depending where you live. And obviously for 375 00:20:42,520 --> 00:20:45,560 Speaker 1: a regular for a regular person, four a million dollar 376 00:20:45,800 --> 00:20:49,760 Speaker 1: baill is like, Okay, that's so astronomical, nobody'll ever be 377 00:20:49,800 --> 00:20:52,160 Speaker 1: able to come up with that. But when your father 378 00:20:52,560 --> 00:20:56,320 Speaker 1: is estimated to be worth over two hundred million dollars 379 00:20:56,640 --> 00:20:59,840 Speaker 1: probably and it's probably way more than that, to be honest, 380 00:21:00,200 --> 00:21:02,600 Speaker 1: Rob Reiner is like he made some of the most 381 00:21:02,640 --> 00:21:06,679 Speaker 1: famous Yes, he's like at the top of the line 382 00:21:06,840 --> 00:21:11,639 Speaker 1: of a list, celebrity elite, Like he's probably worth so 383 00:21:11,720 --> 00:21:15,280 Speaker 1: much more money. But like, so four million dollars is 384 00:21:15,400 --> 00:21:18,640 Speaker 1: like four thousand dollars to regular people. Like it's it's 385 00:21:18,680 --> 00:21:20,919 Speaker 1: still a lot of money, but like not really in 386 00:21:20,960 --> 00:21:24,800 Speaker 1: the grand scheme of things, So that that's just one 387 00:21:24,840 --> 00:21:28,920 Speaker 1: thing that's kind of I mean, assuming he doesn't have 388 00:21:29,040 --> 00:21:33,480 Speaker 1: access to that probably and I'm sure if his siblings 389 00:21:33,520 --> 00:21:37,360 Speaker 1: think that he killed their parents, they're not giving him 390 00:21:37,400 --> 00:21:39,639 Speaker 1: the money to get out. But still it's just like 391 00:21:40,600 --> 00:21:45,639 Speaker 1: still a possibility, which I don't like because clearly, like 392 00:21:45,760 --> 00:21:48,359 Speaker 1: let's just say, theoretically, he could come up with the money, 393 00:21:48,400 --> 00:21:51,360 Speaker 1: so he's allowed to get out when he's I mean, 394 00:21:51,440 --> 00:21:52,159 Speaker 1: clearly he's on. 395 00:21:52,320 --> 00:21:56,359 Speaker 2: Well, well yeah, and now all this information's coming out 396 00:21:56,440 --> 00:21:59,880 Speaker 2: that he had drug addiction issues since he was a teenager. 397 00:22:00,160 --> 00:22:03,120 Speaker 2: Thirty two now, so he had drug addiction issues since 398 00:22:03,119 --> 00:22:06,880 Speaker 2: he was a teenager, and he had experienced bouts of homelessness. 399 00:22:06,920 --> 00:22:09,159 Speaker 2: I guess I didn't read too much into this, but 400 00:22:09,200 --> 00:22:11,760 Speaker 2: what I was gathering was that they tried everything in 401 00:22:11,800 --> 00:22:13,679 Speaker 2: their power to put him in rehab and everything, but 402 00:22:13,760 --> 00:22:18,199 Speaker 2: sometimes he wouldn't go to the facilities, so instead he 403 00:22:18,440 --> 00:22:21,879 Speaker 2: just chose homelessness over that. And then this eerie clip 404 00:22:21,920 --> 00:22:25,760 Speaker 2: is resurfacing of I guess when he recovered. At some 405 00:22:25,840 --> 00:22:29,840 Speaker 2: point about ten years ago, he and Rob Reiner, his dad, 406 00:22:30,359 --> 00:22:35,000 Speaker 2: co wrote a movie that was semi autobiographical about his issues, 407 00:22:35,480 --> 00:22:38,639 Speaker 2: and this interview is resurfacing where they're talking about their 408 00:22:38,720 --> 00:22:41,679 Speaker 2: rocky relationship. And now when you put it into perspective 409 00:22:41,800 --> 00:22:45,400 Speaker 2: of he, I mean, I guess he's not convicted yet, 410 00:22:45,400 --> 00:22:47,360 Speaker 2: so we have to say he allegedly killed them, right, 411 00:22:47,880 --> 00:22:50,480 Speaker 2: It's just really disturbing to think about, and when you 412 00:22:50,520 --> 00:22:52,879 Speaker 2: look at pictures of this guy and videos of him talking, 413 00:22:52,920 --> 00:22:56,600 Speaker 2: he's just like not home and it's very. 414 00:22:55,520 --> 00:22:59,160 Speaker 1: He he is like creepy as how honestly, Like you're 415 00:22:59,200 --> 00:23:01,000 Speaker 1: you're looking at it and you're just like, yeah, this 416 00:23:01,080 --> 00:23:05,040 Speaker 1: guy like looks unstable. And the fact that the sister 417 00:23:05,160 --> 00:23:08,360 Speaker 1: had said that he's dangerous, it's like, oh, they've been 418 00:23:08,400 --> 00:23:12,840 Speaker 1: having issues with this guy for a while. And you know, 419 00:23:13,320 --> 00:23:16,040 Speaker 1: we always talk about that, like when someone's murdered and 420 00:23:16,080 --> 00:23:19,200 Speaker 1: the police will remember when we were talking about the 421 00:23:19,680 --> 00:23:24,840 Speaker 1: Jodiarius trial and Travis Alexander, or her ex boyfriend, was 422 00:23:24,880 --> 00:23:28,639 Speaker 1: found dead and the police went to his family and 423 00:23:28,680 --> 00:23:30,679 Speaker 1: his friends and were like, do you know anybody that 424 00:23:30,680 --> 00:23:33,160 Speaker 1: would have wanted hurt him? And every one of them 425 00:23:33,240 --> 00:23:37,640 Speaker 1: was like, Jody, yeah, there's like the daughter was probably 426 00:23:37,680 --> 00:23:40,560 Speaker 1: like I know who did this? Without even knowing who 427 00:23:40,600 --> 00:23:44,320 Speaker 1: did this, because I mean, Rob Reiner's like I know 428 00:23:44,400 --> 00:23:49,760 Speaker 1: that he's sometimes he's a little bit controversial with his 429 00:23:49,880 --> 00:23:52,800 Speaker 1: politics or whatever, but like I feel like he's like 430 00:23:52,880 --> 00:23:57,120 Speaker 1: a beloved figure in Hollywood, and you wouldn't really think 431 00:23:57,160 --> 00:24:00,919 Speaker 1: that a person of his means and and everything that 432 00:24:01,000 --> 00:24:03,600 Speaker 1: anybody would even have access to get into his home 433 00:24:03,680 --> 00:24:05,920 Speaker 1: to kill him like that, But it makes sense obviously 434 00:24:05,960 --> 00:24:07,200 Speaker 1: that it was his kid. 435 00:24:07,520 --> 00:24:11,360 Speaker 2: Well yeah, and then there's you know, yeah, I completely 436 00:24:11,440 --> 00:24:13,480 Speaker 2: agree with you on that, And then there's like all 437 00:24:13,480 --> 00:24:16,440 Speaker 2: this drama over the search warrant they're trying to get, 438 00:24:16,480 --> 00:24:19,639 Speaker 2: and our friend Joe Jackaline posted a video trying to 439 00:24:19,680 --> 00:24:22,159 Speaker 2: explain it and was saying like, sometimes it could be 440 00:24:22,240 --> 00:24:25,040 Speaker 2: an issue if the person of interest lives inside of 441 00:24:25,040 --> 00:24:28,080 Speaker 2: the home where the crime occurred, right, so you have 442 00:24:28,160 --> 00:24:30,240 Speaker 2: to wonder was he living with them at that time? 443 00:24:30,359 --> 00:24:32,879 Speaker 2: I mean even just the night before Saturday night they 444 00:24:32,880 --> 00:24:36,600 Speaker 2: were at Conan O'Brien's holiday party and they were seen arguing. 445 00:24:37,320 --> 00:24:39,920 Speaker 1: Well, listen, I think the more and more time that 446 00:24:39,960 --> 00:24:42,720 Speaker 1: goes on in all these cases, and especially with things 447 00:24:42,720 --> 00:24:45,959 Speaker 1: getting leaked to social media so easily and stuff, I 448 00:24:46,040 --> 00:24:50,920 Speaker 1: do understand that police forces want to like check boxes 449 00:24:51,080 --> 00:24:53,760 Speaker 1: extra at this time because if you think about it, 450 00:24:53,840 --> 00:24:58,560 Speaker 1: like it just last week talking about what was going 451 00:24:58,600 --> 00:25:02,160 Speaker 1: on with Luigi Mangioni and stuff, and them, their defence 452 00:25:02,240 --> 00:25:04,000 Speaker 1: is trying to get them to drop a lot of 453 00:25:04,040 --> 00:25:06,240 Speaker 1: evidence because they were saying a lot of it was 454 00:25:06,280 --> 00:25:09,520 Speaker 1: found with an improper search warrant and stuff. That's the 455 00:25:09,640 --> 00:25:13,919 Speaker 1: kind of stuff that scares police departments to be like, 456 00:25:14,000 --> 00:25:16,240 Speaker 1: you know what, We're just gonna take this extra time 457 00:25:16,320 --> 00:25:18,720 Speaker 1: to do this to cover our ass because we don't 458 00:25:18,800 --> 00:25:21,960 Speaker 1: need to lose this case because we didn't collect the 459 00:25:22,040 --> 00:25:26,520 Speaker 1: evidence properly. Right, Oh totally, So, so that makes sense, 460 00:25:26,560 --> 00:25:31,639 Speaker 1: So let's talk about So then the police do this 461 00:25:32,160 --> 00:25:36,080 Speaker 1: press conference and they don't say anything, which is so 462 00:25:36,280 --> 00:25:40,240 Speaker 1: bizarre because before I was listening to that press conference, 463 00:25:40,359 --> 00:25:43,880 Speaker 1: I had already seen that People magazine said from a 464 00:25:43,920 --> 00:25:47,439 Speaker 1: reliable source that it was in fact Rob Reiner and 465 00:25:47,480 --> 00:25:50,240 Speaker 1: his wife Michelle who were dead. It was a double 466 00:25:50,280 --> 00:25:54,080 Speaker 1: homicide and their son had killed them. Right, So they're 467 00:25:54,119 --> 00:25:59,239 Speaker 1: reporting that in print People Magazine like really had I mean, 468 00:25:59,280 --> 00:26:01,520 Speaker 1: I don't think that or like the cream of the 469 00:26:01,520 --> 00:26:03,800 Speaker 1: crop news source. But at the same time, they also 470 00:26:04,359 --> 00:26:06,960 Speaker 1: are pretty legit and they they have to cover their 471 00:26:07,000 --> 00:26:08,879 Speaker 1: ass and they wouldn't put that out there if it 472 00:26:08,960 --> 00:26:12,600 Speaker 1: wasn't true. Right, So they have like a very reliable 473 00:26:12,640 --> 00:26:15,399 Speaker 1: source that was telling them that, and then they do 474 00:26:15,480 --> 00:26:18,880 Speaker 1: this press conference with the cops. The cops won't say 475 00:26:18,920 --> 00:26:20,960 Speaker 1: if it was a homicide. They won't say it was 476 00:26:21,080 --> 00:26:24,680 Speaker 1: Rob Reiner and his wife even though the reporters had 477 00:26:24,760 --> 00:26:28,240 Speaker 1: cited the People magazine article and one of them said, 478 00:26:28,760 --> 00:26:31,640 Speaker 1: the mayor of Los Angeles just put out a tweet 479 00:26:31,760 --> 00:26:35,440 Speaker 1: about Rob Reiner and his wife being dead. You can't 480 00:26:35,480 --> 00:26:39,439 Speaker 1: confirm that, and he's like no. It was like, dude, 481 00:26:39,480 --> 00:26:41,600 Speaker 1: it was out of control. And that's why I was 482 00:26:41,640 --> 00:26:44,400 Speaker 1: texting you, like, yo, you are missing this, Like wake up, 483 00:26:44,520 --> 00:26:46,320 Speaker 1: Like we have a lot to talk about tomorrow. 484 00:26:46,480 --> 00:26:49,600 Speaker 2: I guess like my new pregnancy bedtime at nine pm 485 00:26:49,760 --> 00:26:51,320 Speaker 2: is not good for free My god. 486 00:26:51,400 --> 00:26:54,120 Speaker 1: I was like, what is happening right now? And this 487 00:26:54,240 --> 00:26:57,600 Speaker 1: was like five minutes after the Brown University press conference. 488 00:26:57,640 --> 00:27:01,040 Speaker 1: I was just so overwhelmed. I couldn't because I was like, 489 00:27:01,080 --> 00:27:03,560 Speaker 1: oh my god, this is so like crazy and exciting 490 00:27:03,600 --> 00:27:05,800 Speaker 1: at the same time, Like it just was crazy. The 491 00:27:06,200 --> 00:27:10,240 Speaker 1: police also wouldn't say They were like, you're not getting 492 00:27:10,240 --> 00:27:13,760 Speaker 1: that information until the coroner goes in and identifies the bodies. 493 00:27:13,800 --> 00:27:16,360 Speaker 1: You will get that directly from the corner. They wouldn't 494 00:27:16,359 --> 00:27:19,240 Speaker 1: say anything about that it being a homicide. They wouldn't 495 00:27:19,240 --> 00:27:22,080 Speaker 1: say anything. So one thing that I wanted to bring 496 00:27:22,200 --> 00:27:25,560 Speaker 1: up was that it was interesting that they said that 497 00:27:25,640 --> 00:27:28,720 Speaker 1: the coroner wasn't there yet. So when they were doing 498 00:27:28,760 --> 00:27:34,560 Speaker 1: that press conference at around midnight our time, the bodies 499 00:27:34,600 --> 00:27:38,080 Speaker 1: were still in the house, and I believe that this 500 00:27:38,240 --> 00:27:40,120 Speaker 1: crime occurred in the afternoon. 501 00:27:40,480 --> 00:27:42,520 Speaker 2: Yeah, they were founding like three point thirty. 502 00:27:42,960 --> 00:27:47,200 Speaker 1: So, and he was saying that he didn't know when 503 00:27:47,240 --> 00:27:49,439 Speaker 1: the coroner was about to get there or if they 504 00:27:49,440 --> 00:27:51,359 Speaker 1: were there yet, like there was all this stuff. So 505 00:27:51,920 --> 00:27:54,400 Speaker 1: that was one thing that I wanted to talk about 506 00:27:55,119 --> 00:28:00,080 Speaker 1: today on this episode because a lot of people, well 507 00:28:00,359 --> 00:28:04,000 Speaker 1: I guess, assume that a coroner or a medical examiner 508 00:28:05,119 --> 00:28:08,880 Speaker 1: would goes to every single scene, and in fact that's 509 00:28:08,960 --> 00:28:12,880 Speaker 1: not correct. So it all over the country there's either 510 00:28:12,920 --> 00:28:16,719 Speaker 1: a medical examiner system or a coroner system, which are different, 511 00:28:17,359 --> 00:28:21,200 Speaker 1: and we talk a lot about those differences in the grossroom. 512 00:28:21,280 --> 00:28:25,800 Speaker 1: But basically, if you think about it, so many people 513 00:28:25,920 --> 00:28:29,200 Speaker 1: die in the United States every single day, it would 514 00:28:29,280 --> 00:28:32,919 Speaker 1: be impossible for the coroner or the medical examiner to 515 00:28:33,000 --> 00:28:35,480 Speaker 1: go to every single crime scene and look at it. 516 00:28:36,040 --> 00:28:38,840 Speaker 1: So that's why they have a whole entire staff of 517 00:28:38,920 --> 00:28:44,840 Speaker 1: people like our friend Joseph Scott Morgan, who are forensic investigators, 518 00:28:44,960 --> 00:28:47,920 Speaker 1: and they go out to the scene. They're the ones 519 00:28:47,960 --> 00:28:52,640 Speaker 1: that go they document evidence, take photographs, interview witnesses, gather 520 00:28:52,800 --> 00:28:56,200 Speaker 1: medical history and all that kind of stuff, and they're 521 00:28:56,360 --> 00:28:59,080 Speaker 1: kind of like the eyes and the ears for the 522 00:28:59,120 --> 00:29:01,680 Speaker 1: medical examiner, and then they go back and show their 523 00:29:01,720 --> 00:29:04,800 Speaker 1: findings to the medical examiner so they could help complete 524 00:29:04,840 --> 00:29:11,160 Speaker 1: the case. But for example, when in Philadelphia, the medical 525 00:29:11,200 --> 00:29:15,080 Speaker 1: examiner never left the morgue, only to go to very 526 00:29:15,800 --> 00:29:19,480 Speaker 1: high profile cases, one of which I recall was when 527 00:29:19,560 --> 00:29:22,760 Speaker 1: the Amtrak train derailed in Philadelphia, and that's when they 528 00:29:22,800 --> 00:29:25,560 Speaker 1: would go to the scene because that was going to 529 00:29:25,600 --> 00:29:29,640 Speaker 1: be a huge case. So something like one of the 530 00:29:29,680 --> 00:29:34,200 Speaker 1: most Hollywood elites getting murdered is up there with Okay, 531 00:29:34,280 --> 00:29:35,840 Speaker 1: the coroner is going to get in a car and 532 00:29:35,880 --> 00:29:37,840 Speaker 1: go to the scene, right because this is like a 533 00:29:37,920 --> 00:29:41,520 Speaker 1: huge deal. So I'm assuming that's why they were waiting 534 00:29:41,560 --> 00:29:43,960 Speaker 1: for them to get there. I'm sure that there were 535 00:29:44,000 --> 00:29:48,520 Speaker 1: already investigators there, just the actual doctor who was going 536 00:29:48,560 --> 00:29:50,760 Speaker 1: to be signing out the case was still waiting to 537 00:29:50,760 --> 00:29:54,760 Speaker 1: go there, perhaps just because they really, like I said, 538 00:29:54,800 --> 00:29:57,520 Speaker 1: they really want to cover their ass and stuff. So 539 00:30:00,200 --> 00:30:03,080 Speaker 1: talk a little bit about because I guess I was saying, 540 00:30:03,600 --> 00:30:08,160 Speaker 1: you know, whenever you hear of two people dying together, 541 00:30:08,960 --> 00:30:13,120 Speaker 1: there's all different situations, And as Maria was saying earlier, 542 00:30:13,560 --> 00:30:16,920 Speaker 1: when we were talking about Gene Hackman and Betsy Arakawa, 543 00:30:17,800 --> 00:30:20,960 Speaker 1: obviously everybody in the media first went to like, oh, 544 00:30:21,000 --> 00:30:24,040 Speaker 1: this is suspicious and this is a murder, when in 545 00:30:24,080 --> 00:30:27,280 Speaker 1: my mind I was thinking other things, because there's lots 546 00:30:27,320 --> 00:30:29,200 Speaker 1: of different things that could happen. Of course, in the 547 00:30:29,240 --> 00:30:32,440 Speaker 1: case of Gene Hackman and Betsy Arakawa, they were actually 548 00:30:32,480 --> 00:30:35,320 Speaker 1: both deemed to be natural deaths. If you recall, Betsy 549 00:30:35,400 --> 00:30:39,280 Speaker 1: died from the rare haunted virus and was the primary 550 00:30:39,320 --> 00:30:43,280 Speaker 1: caregiver of Gene Hackman, who was elderly and living with dementia, 551 00:30:43,400 --> 00:30:46,400 Speaker 1: so after she died, he didn't have a caregiver and 552 00:30:46,440 --> 00:30:49,680 Speaker 1: then he subsequently died, So in that case they were 553 00:30:49,720 --> 00:30:54,760 Speaker 1: both ruled natural. But there are other cases where people 554 00:30:55,200 --> 00:30:58,760 Speaker 1: two bodies are discovered together and it could be something 555 00:30:58,840 --> 00:31:02,120 Speaker 1: like an accidental death, they died from carbon monoxide exposure. 556 00:31:02,600 --> 00:31:05,520 Speaker 1: It could be suicidal deaths like it was they both 557 00:31:05,520 --> 00:31:08,840 Speaker 1: decided to kill themselves together, or they had a murder suicide, 558 00:31:09,400 --> 00:31:12,480 Speaker 1: or it could be like in this case, which is 559 00:31:12,600 --> 00:31:17,080 Speaker 1: a homicide. So there's all different sorts of scenarios that 560 00:31:17,120 --> 00:31:21,200 Speaker 1: could happen when two people are found dead together. 561 00:31:22,800 --> 00:31:25,440 Speaker 2: Yeah. I also wanted to say too with the coroner 562 00:31:25,480 --> 00:31:27,520 Speaker 2: thing you were talking about, Like, I feel like that 563 00:31:27,600 --> 00:31:30,960 Speaker 2: episode we did about Thomas Negucci, you really see that 564 00:31:31,040 --> 00:31:32,960 Speaker 2: in his book, like all the crimes he would go 565 00:31:33,040 --> 00:31:35,360 Speaker 2: to because he really talked about that process. 566 00:31:36,040 --> 00:31:39,960 Speaker 1: Yeah. And the thing is, though, is Thomas Nogucci's a 567 00:31:40,000 --> 00:31:47,520 Speaker 1: good example, like he did rfk's autopsy, Marilyn Monroe, all 568 00:31:47,600 --> 00:31:53,280 Speaker 1: these uh Garantate, Scharantate and what was what's her name? 569 00:31:55,720 --> 00:32:00,280 Speaker 1: Natalie would right, huge huge cases that that's when the 570 00:32:00,320 --> 00:32:02,080 Speaker 1: coroner would go to the scene, but he didn't go 571 00:32:02,120 --> 00:32:04,320 Speaker 1: on the average Joe that got shot on the street. Like, 572 00:32:04,360 --> 00:32:06,760 Speaker 1: trust me, they don't go to every single one. So 573 00:32:06,880 --> 00:32:09,480 Speaker 1: just like high profile cases, it just so happens when 574 00:32:09,480 --> 00:32:12,280 Speaker 1: you're in LA. I mean, there's just a higher probability 575 00:32:12,280 --> 00:32:16,480 Speaker 1: of there being more high profile cases. So I guess 576 00:32:16,720 --> 00:32:19,640 Speaker 1: first let's start with I do want to talk about 577 00:32:19,680 --> 00:32:23,400 Speaker 1: like once they take the bodies to the morgue, what 578 00:32:23,440 --> 00:32:25,200 Speaker 1: are they going to look for and how are they 579 00:32:25,200 --> 00:32:29,240 Speaker 1: going to determine what happened. So we haven't had exact 580 00:32:30,920 --> 00:32:35,040 Speaker 1: a release of specific manner of death and cause of 581 00:32:35,120 --> 00:32:38,360 Speaker 1: death from the LA Coroner's Office as of this point. 582 00:32:38,440 --> 00:32:41,960 Speaker 1: So all of this is just reporting and as we know, 583 00:32:42,080 --> 00:32:45,600 Speaker 1: reporters get it wrong a lot of the times. So 584 00:32:46,800 --> 00:32:49,520 Speaker 1: as of right now, we're treating it as a homicide 585 00:32:49,600 --> 00:32:53,800 Speaker 1: that was a sharp injuries cut their throats. But there's 586 00:32:53,880 --> 00:32:56,480 Speaker 1: just so many other things to look for at autopsy. 587 00:32:57,040 --> 00:33:00,880 Speaker 1: So first let's talk about they're going to look for 588 00:33:00,960 --> 00:33:06,800 Speaker 1: evidence of trauma obviously, and TMZ reports. So you know 589 00:33:07,000 --> 00:33:11,320 Speaker 1: how people say, oh, this is a you know, someone 590 00:33:11,400 --> 00:33:14,120 Speaker 1: died of a cardiac arrest, right I did. I actually 591 00:33:14,160 --> 00:33:20,200 Speaker 1: saw someone posted online that showed a screenshot from the 592 00:33:20,720 --> 00:33:24,800 Speaker 1: police or the police and fire department have You know 593 00:33:24,880 --> 00:33:27,160 Speaker 1: I should know this because I'm married to a firefighter 594 00:33:28,000 --> 00:33:32,000 Speaker 1: whatever whatever that system is that beeps on my husband's 595 00:33:32,000 --> 00:33:32,720 Speaker 1: phone all day that. 596 00:33:33,080 --> 00:33:34,840 Speaker 2: And you can't even ask him because you don't have 597 00:33:34,880 --> 00:33:35,880 Speaker 2: four hours if you're life. 598 00:33:36,960 --> 00:33:39,240 Speaker 1: Yes, it's a it's a huge it's just a huge 599 00:33:39,320 --> 00:33:41,720 Speaker 1: joke in our house because I always tell him that 600 00:33:41,920 --> 00:33:44,080 Speaker 1: it needs to be turned off when he's home because 601 00:33:44,080 --> 00:33:47,120 Speaker 1: he's not at work anymore. That listening to the radio 602 00:33:47,200 --> 00:33:51,200 Speaker 1: or whatever the dispatch you. So they show a screenshot 603 00:33:51,240 --> 00:33:55,560 Speaker 1: of it that shows that the that the Los Angeles 604 00:33:55,560 --> 00:33:59,200 Speaker 1: Fire Department reported to Rob Reiner and Michelle Reiner's house 605 00:33:59,240 --> 00:34:04,680 Speaker 1: for a cardiac arrested. Okay, so yeah, obviously they got 606 00:34:05,600 --> 00:34:08,360 Speaker 1: stabbed to death, so their heart stopped. Yet, Okay, thanks 607 00:34:08,400 --> 00:34:09,239 Speaker 1: for that information. 608 00:34:09,640 --> 00:34:14,520 Speaker 2: Do you but you possibly say that as like code word? Well, no, 609 00:34:14,960 --> 00:34:16,719 Speaker 2: I don't think it's a code word. I just think 610 00:34:16,760 --> 00:34:19,239 Speaker 2: that or like it's just such a no, I just 611 00:34:19,280 --> 00:34:22,000 Speaker 2: didn't realized term for like, yeah, like the daughter called 612 00:34:22,000 --> 00:34:24,799 Speaker 2: and it's like, oh my god, like I just got 613 00:34:24,840 --> 00:34:27,479 Speaker 2: to my parents' house and both of my parents are dead, 614 00:34:28,760 --> 00:34:32,319 Speaker 2: like so they so they just say, you know, the 615 00:34:32,440 --> 00:34:35,879 Speaker 2: daughter's not the daughter's not doing an autopsy external exam 616 00:34:36,000 --> 00:34:36,399 Speaker 2: on the people. 617 00:34:36,480 --> 00:34:38,920 Speaker 1: She doesn't know how they died. They two people are 618 00:34:38,960 --> 00:34:41,080 Speaker 1: down and they're probably dead. They're heart stopped. 619 00:34:41,120 --> 00:34:43,279 Speaker 2: Like well, yeah, maybe that's what That's what I'm trying 620 00:34:43,280 --> 00:34:45,040 Speaker 2: to say it, Like, maybe they're saying it in the 621 00:34:45,080 --> 00:34:48,640 Speaker 2: proper generalized term of like there's two dead people at 622 00:34:48,640 --> 00:34:50,040 Speaker 2: this house, but. 623 00:34:50,080 --> 00:34:54,080 Speaker 1: The cardiac arrest doesn't. I mean, technically it means your 624 00:34:54,080 --> 00:34:57,080 Speaker 1: heart stopped, but people can be revived from cardiac arrest, 625 00:34:57,160 --> 00:34:59,960 Speaker 1: you know, So it's like it's just like the dispatch 626 00:35:00,160 --> 00:35:03,560 Speaker 1: doesn't know. They don't know, so all they do is 627 00:35:03,600 --> 00:35:05,960 Speaker 1: they know two people are down, and it's like the 628 00:35:06,000 --> 00:35:09,239 Speaker 1: ambulance needs to get there quick because they might have 629 00:35:09,280 --> 00:35:12,440 Speaker 1: to either try to resuscitate them or analyze what's happening 630 00:35:12,480 --> 00:35:18,080 Speaker 1: like someone's in great, in great danger basically, right. So 631 00:35:18,960 --> 00:35:24,400 Speaker 1: this is my second most hated terminology that media uses. 632 00:35:24,760 --> 00:35:30,240 Speaker 1: So TMZ, Rob and Michelle suffered lacerations consistent with knife wounds, 633 00:35:30,239 --> 00:35:34,520 Speaker 1: and LAPD's Robbery Homicide Division is investigating the case. Okay, 634 00:35:34,880 --> 00:35:37,600 Speaker 1: So in the gross room, as Maria said earlier, we 635 00:35:37,680 --> 00:35:40,879 Speaker 1: did a high profile or celebrity death dissection on Rob 636 00:35:40,920 --> 00:35:43,960 Speaker 1: Reiner and Michelle Reiner today with as much information as 637 00:35:43,960 --> 00:35:46,000 Speaker 1: we have going over all this stuff we'll be talking 638 00:35:46,040 --> 00:35:48,400 Speaker 1: to you about on the episode, so you can really 639 00:35:48,400 --> 00:35:52,000 Speaker 1: see pictures of autopsies to see like what this stuff 640 00:35:52,080 --> 00:35:57,400 Speaker 1: actually looks like. And a laceration is caused by blunt 641 00:35:57,400 --> 00:36:00,960 Speaker 1: trauma like a baseball bat, it's not caused by a knife. 642 00:36:01,520 --> 00:36:04,480 Speaker 1: They should use terms like rob and Michelle suffered sharp 643 00:36:04,560 --> 00:36:08,359 Speaker 1: force injuries or Robin Michelle suffered incisional wounds, Like I 644 00:36:08,440 --> 00:36:12,440 Speaker 1: understand the word laceration sounds gorrier and it sounds cooler, 645 00:36:12,520 --> 00:36:15,200 Speaker 1: but like it's wrong. Stop using it. You sound like 646 00:36:15,239 --> 00:36:18,080 Speaker 1: a frickin' moron. It drives me crazy. So then I 647 00:36:18,160 --> 00:36:21,719 Speaker 1: go into this post talking about stab wounds and what 648 00:36:21,760 --> 00:36:25,200 Speaker 1: they look like and why they have a very specific appearance, 649 00:36:25,320 --> 00:36:28,319 Speaker 1: and then we're gonna go we go through in this 650 00:36:28,360 --> 00:36:30,920 Speaker 1: post every single thing that they're going to be looking 651 00:36:30,960 --> 00:36:33,280 Speaker 1: for at autopsy, as long as like what these things 652 00:36:33,360 --> 00:36:35,680 Speaker 1: actually look like. So, what did the blade look like, 653 00:36:35,760 --> 00:36:38,520 Speaker 1: what kind of knife was used? Was the same knife 654 00:36:38,600 --> 00:36:41,920 Speaker 1: used for all of the injuries? How many stab wounds 655 00:36:41,960 --> 00:36:46,120 Speaker 1: were there? Was it overkill? There is? So overkill and 656 00:36:46,239 --> 00:36:48,880 Speaker 1: homicides is defined as a massive amount of injuries that 657 00:36:48,920 --> 00:36:51,600 Speaker 1: far exceed what is needed to kill a person. So 658 00:36:53,239 --> 00:36:56,640 Speaker 1: is that a possibility here? Yeah, because they're seen in 659 00:36:56,719 --> 00:37:03,440 Speaker 1: cases with family high levels of betray i, anger, jealousy, domestics, 660 00:37:03,440 --> 00:37:06,920 Speaker 1: So there is a possibility that they're signs of overkill. 661 00:37:08,000 --> 00:37:13,440 Speaker 1: Fourteen percent of cases of homicides are caused have overkilled 662 00:37:13,440 --> 00:37:15,520 Speaker 1: in them, and they're very gruesome in nature, so it 663 00:37:15,560 --> 00:37:18,200 Speaker 1: would be you know, it wouldn't be out of the 664 00:37:18,280 --> 00:37:22,840 Speaker 1: question in my opinion. And then we go through like, Okay, 665 00:37:22,880 --> 00:37:26,160 Speaker 1: so we know, we're saying that they have some stab wounds, 666 00:37:26,520 --> 00:37:28,799 Speaker 1: right with which one caused their death, because sometimes, like 667 00:37:28,880 --> 00:37:31,799 Speaker 1: let's say a person's cause stab thirty times, they're not 668 00:37:31,920 --> 00:37:35,520 Speaker 1: going to have thirty things that would have been a 669 00:37:35,520 --> 00:37:37,920 Speaker 1: way to kill them. Usually it's like there's a lot 670 00:37:37,960 --> 00:37:41,000 Speaker 1: of superficial ones. That's why you're stabbing a moving target. 671 00:37:41,000 --> 00:37:43,680 Speaker 1: They're moving, You're not hitting an artery and causing them 672 00:37:43,680 --> 00:37:48,000 Speaker 1: to go down, so you're just stabbing wherever you're going. 673 00:37:48,160 --> 00:37:50,799 Speaker 1: And most of the time people that are doing this, 674 00:37:50,840 --> 00:37:52,799 Speaker 1: they don't really know anatomy, so they don't know the 675 00:37:52,840 --> 00:37:54,759 Speaker 1: best place to go to get a person down the 676 00:37:54,840 --> 00:37:57,239 Speaker 1: quickest and things like that. And then you have to 677 00:37:57,239 --> 00:37:59,680 Speaker 1: think that people are fighting back, so you're going to 678 00:37:59,719 --> 00:38:02,000 Speaker 1: look at their hands to see if there's defense wounds 679 00:38:02,000 --> 00:38:05,759 Speaker 1: and if they put up a fight. So what stab 680 00:38:05,800 --> 00:38:09,560 Speaker 1: wounds caused their death? Non fatal stab wounds. So, for instance, 681 00:38:09,600 --> 00:38:11,759 Speaker 1: I show an example of like what it looks like 682 00:38:11,920 --> 00:38:16,040 Speaker 1: if there's a stab wound to the stomach right and yes, 683 00:38:16,080 --> 00:38:18,800 Speaker 1: eventually a stab wound to the stomach that was open 684 00:38:18,840 --> 00:38:22,719 Speaker 1: and pouring gastric contents into the abdominal cavity would eventually 685 00:38:22,760 --> 00:38:26,840 Speaker 1: cause someone a lot of problems and would could cause 686 00:38:27,040 --> 00:38:29,839 Speaker 1: infection and sepsis that would lead to death. But that's 687 00:38:29,880 --> 00:38:34,719 Speaker 1: nothing that's happening super quick that the person's just going 688 00:38:34,760 --> 00:38:37,680 Speaker 1: to drop dead from. So you're going to see a 689 00:38:37,719 --> 00:38:40,200 Speaker 1: lot of injuries of another one I showed as a 690 00:38:40,200 --> 00:38:43,439 Speaker 1: person that has this large incisional wound across their head 691 00:38:43,520 --> 00:38:46,759 Speaker 1: that you could see their skull exposed. And although it 692 00:38:46,800 --> 00:38:50,560 Speaker 1: looks very gruesome, it wouldn't cause a person to die 693 00:38:50,719 --> 00:38:53,319 Speaker 1: on the scene like that. So you're going to have 694 00:38:53,400 --> 00:38:57,120 Speaker 1: to look for what was the wound that actually caused 695 00:38:57,120 --> 00:38:59,920 Speaker 1: the person to die, And for example, that would be 696 00:39:00,640 --> 00:39:04,600 Speaker 1: a stab wound to the heart and obviously getting sliced 697 00:39:04,600 --> 00:39:08,759 Speaker 1: across the carotid arteries of the neck. Now, there's been 698 00:39:08,840 --> 00:39:13,399 Speaker 1: times where people have been stabbed to death and then 699 00:39:13,520 --> 00:39:17,440 Speaker 1: had their throat cut after they were already dead, so 700 00:39:17,719 --> 00:39:20,719 Speaker 1: and that would be seen in more cases of overkill 701 00:39:20,800 --> 00:39:24,520 Speaker 1: that you would see more stab wounds occurred after the 702 00:39:24,560 --> 00:39:28,120 Speaker 1: person was already clearly dead and not fighting back anymore. 703 00:39:28,680 --> 00:39:32,440 Speaker 1: So when we talk about neck wounds, and if this 704 00:39:32,600 --> 00:39:35,000 Speaker 1: is true, if they were sliced across the neck, that 705 00:39:35,040 --> 00:39:38,719 Speaker 1: doesn't necessarily mean that that's what killed them, because you 706 00:39:38,760 --> 00:39:40,560 Speaker 1: could have a fatal neck wound and you could have 707 00:39:40,600 --> 00:39:42,640 Speaker 1: a non fatal neck wound. And I show the difference 708 00:39:42,680 --> 00:39:46,239 Speaker 1: between them and this post. When you're talking about your 709 00:39:46,280 --> 00:39:49,040 Speaker 1: neck anatomy, when you feel the front of it, especially 710 00:39:49,080 --> 00:39:51,719 Speaker 1: on a man, where the Adams apple is, that's the 711 00:39:51,800 --> 00:39:55,480 Speaker 1: larynx or the windpipe. Right behind that is the esophagus 712 00:39:55,880 --> 00:39:58,839 Speaker 1: right and then right next to either of those structures 713 00:39:59,040 --> 00:40:03,360 Speaker 1: is the uhtid. Are the carotid arteries and the jugular 714 00:40:03,520 --> 00:40:08,160 Speaker 1: veins the arteries. Of course, if they get cut, that's 715 00:40:08,200 --> 00:40:12,520 Speaker 1: going to be really what causes a person to die 716 00:40:12,600 --> 00:40:15,560 Speaker 1: and to bleed out for two different reasons. Number One, 717 00:40:15,600 --> 00:40:19,560 Speaker 1: the carotid arteries are major arteries that come directly off 718 00:40:19,600 --> 00:40:22,040 Speaker 1: of the aorta. They're very close to the pump of 719 00:40:22,080 --> 00:40:25,319 Speaker 1: the heart, so blood is going to be coming out 720 00:40:25,440 --> 00:40:28,920 Speaker 1: of that whole more forcefully just because the pump is 721 00:40:29,000 --> 00:40:32,600 Speaker 1: right there. And then the second mechanism of death in 722 00:40:33,000 --> 00:40:37,080 Speaker 1: that particular case is that those arteries are also bringing 723 00:40:37,120 --> 00:40:39,799 Speaker 1: oxygenated bloods to your brain. So if you're cutting off 724 00:40:39,840 --> 00:40:43,359 Speaker 1: that line of the oxygen getting to your brain, that 725 00:40:43,520 --> 00:40:47,879 Speaker 1: could also cause death very quickly. For both of them. 726 00:40:48,680 --> 00:40:52,319 Speaker 1: A jugular vein might they You know, a vein in 727 00:40:52,360 --> 00:40:55,480 Speaker 1: general is a little bit of a slower bleed, so 728 00:40:55,680 --> 00:40:59,520 Speaker 1: you could possibly survive something like that if you're brought 729 00:40:59,520 --> 00:41:03,560 Speaker 1: to the hospital right away. Corotid injury like that, like 730 00:41:04,040 --> 00:41:08,000 Speaker 1: you're dying from that. It's a very fatal wound. And 731 00:41:08,040 --> 00:41:11,759 Speaker 1: then of course I reference in this post Nicole Brown 732 00:41:11,800 --> 00:41:16,319 Speaker 1: Simpson because as you guys remember whoever killed her or 733 00:41:16,400 --> 00:41:22,480 Speaker 1: didn't kill her, she was nearly decapitated, so the knife 734 00:41:22,480 --> 00:41:25,520 Speaker 1: went so far back to her neck that it actually 735 00:41:26,280 --> 00:41:29,600 Speaker 1: nicked and severed a portion of her spinal cord, which 736 00:41:29,680 --> 00:41:33,560 Speaker 1: could also cause death as well. So the deeper that 737 00:41:33,640 --> 00:41:35,920 Speaker 1: you go in a throat wound at the right angle 738 00:41:36,000 --> 00:41:39,359 Speaker 1: could kill someone either by the carotid arteries or by 739 00:41:39,400 --> 00:41:42,959 Speaker 1: the spinal cord. But then in this post I show 740 00:41:43,000 --> 00:41:47,400 Speaker 1: another really gnarly neck wound. If you remember, one of 741 00:41:47,400 --> 00:41:51,080 Speaker 1: our grocery members and also listeners of this program had 742 00:41:51,120 --> 00:41:54,719 Speaker 1: sent us in a case of her daughter. I think 743 00:41:54,760 --> 00:41:57,839 Speaker 1: we did it on a six Shocking Stories episode. Her 744 00:41:57,960 --> 00:42:01,239 Speaker 1: daughter had fell on a can, and the lid of 745 00:42:01,280 --> 00:42:04,839 Speaker 1: the can is a sharp it's essentially a knife. Right 746 00:42:04,840 --> 00:42:08,160 Speaker 1: when you open a can she felt on it somehow 747 00:42:08,200 --> 00:42:11,520 Speaker 1: in a weird accident, and it sliced a huge gash 748 00:42:11,560 --> 00:42:15,440 Speaker 1: in her neck. But luckily it didn't hit any of 749 00:42:15,480 --> 00:42:18,080 Speaker 1: her blood vessels or her spinal cord. It didn't go 750 00:42:18,160 --> 00:42:20,960 Speaker 1: that deep. So even when you look at the neck wound, 751 00:42:20,960 --> 00:42:23,279 Speaker 1: it's very gnarly, but it didn't cause an injury that 752 00:42:23,280 --> 00:42:25,400 Speaker 1: would have killed her. So that's all different things that 753 00:42:25,440 --> 00:42:29,600 Speaker 1: they're going to be looking for during this autopsy. They're 754 00:42:29,640 --> 00:42:32,600 Speaker 1: also going to be looking for post mortem stab wounds, 755 00:42:33,000 --> 00:42:36,600 Speaker 1: so that means, like like I said earlier, after the 756 00:42:36,640 --> 00:42:41,800 Speaker 1: person's dead, that they were still getting stabbed. And another 757 00:42:41,880 --> 00:42:45,040 Speaker 1: thing to take into consideration is that they're going to 758 00:42:45,080 --> 00:42:49,240 Speaker 1: be looking for other wounds too. So as Maria was saying, 759 00:42:49,360 --> 00:42:53,880 Speaker 1: they were at Conan O'Brien's, you've said this right, Yeah, Okay, 760 00:42:53,880 --> 00:42:57,040 Speaker 1: they were at Conan O'Brien's holiday party and they were 761 00:42:57,120 --> 00:42:59,880 Speaker 1: fighting with their son. I guess I'm assuming that me 762 00:43:00,120 --> 00:43:03,320 Speaker 1: is arguing. But when they went home, did that fight 763 00:43:03,480 --> 00:43:06,560 Speaker 1: continue and did it turn into a fistfight? Before it 764 00:43:06,600 --> 00:43:11,239 Speaker 1: turned into this or another type of fight, they could 765 00:43:11,239 --> 00:43:13,400 Speaker 1: have been beaten with an object or something like that. 766 00:43:13,480 --> 00:43:15,920 Speaker 1: So they're going to look for evidence of blunt injuries. 767 00:43:16,680 --> 00:43:19,960 Speaker 1: Now we could talk about they might have seen lacerations 768 00:43:20,080 --> 00:43:25,960 Speaker 1: their favorite word, also broken bones, contusions or bruises and 769 00:43:26,000 --> 00:43:28,560 Speaker 1: things like that. And in here I show a case 770 00:43:28,560 --> 00:43:30,759 Speaker 1: of a person that did have multiple stab wounds, but 771 00:43:30,760 --> 00:43:33,839 Speaker 1: they also have evidence that they were strangled as well, 772 00:43:33,960 --> 00:43:38,080 Speaker 1: so there can definitely be two different mechanisms of injury 773 00:43:38,200 --> 00:43:41,880 Speaker 1: in these cases. They're also going to look at toxicology 774 00:43:42,480 --> 00:43:44,640 Speaker 1: just to see if Rob and his wife were under 775 00:43:44,640 --> 00:43:47,880 Speaker 1: the influence or drugs or alcohol. Although I feel like, 776 00:43:48,120 --> 00:43:50,640 Speaker 1: who cares, you know, I mean. 777 00:43:50,560 --> 00:43:52,480 Speaker 2: If you like to murder them, what's the difference. 778 00:43:52,560 --> 00:43:55,480 Speaker 1: The thing is, though, is that they they they would 779 00:43:55,560 --> 00:43:58,160 Speaker 1: use that in court when the son's crying, like, oh 780 00:43:58,239 --> 00:44:01,360 Speaker 1: they were alcoholics and they were abuse, you know whatever. 781 00:44:01,400 --> 00:44:06,520 Speaker 1: They could they use that information for that because sometimes 782 00:44:06,520 --> 00:44:08,640 Speaker 1: that's contributory. I don't see how it would be in 783 00:44:08,680 --> 00:44:10,879 Speaker 1: this case. But they also want to check to make 784 00:44:10,920 --> 00:44:14,719 Speaker 1: sure that like let's say, for example, they do these 785 00:44:14,760 --> 00:44:17,400 Speaker 1: autopsies and they don't see any defensive wounds, then they 786 00:44:17,480 --> 00:44:20,279 Speaker 1: might say, well, that's weird. Why weren't they fighting back? Oh, 787 00:44:20,280 --> 00:44:23,799 Speaker 1: they were drugged before they were stabbed, and all this 788 00:44:23,840 --> 00:44:26,880 Speaker 1: stuff like really doesn't. It matters more for court for 789 00:44:26,920 --> 00:44:29,920 Speaker 1: the court case rather than just like for actually saying 790 00:44:30,080 --> 00:44:32,439 Speaker 1: that they were just innocent people that got stabbed to death. 791 00:44:33,080 --> 00:44:35,799 Speaker 1: And then the lastly, they're gonna look for evidence of 792 00:44:35,920 --> 00:44:39,800 Speaker 1: natural disease. Usually if they're in there, they're just gonna 793 00:44:39,800 --> 00:44:43,080 Speaker 1: look anyway, and they're gonna weigh the heart, see see 794 00:44:43,080 --> 00:44:44,960 Speaker 1: how much it weighed, if there was any evidence of 795 00:44:45,000 --> 00:44:48,400 Speaker 1: like heart disease, look for any tumors and things like that. Obviously, 796 00:44:48,520 --> 00:44:51,080 Speaker 1: like at this point those things are non contributory, but 797 00:44:52,040 --> 00:44:54,560 Speaker 1: sometimes they are. So in cases of a person, like 798 00:44:54,640 --> 00:44:57,440 Speaker 1: let's say a person's driving their car and they get 799 00:44:57,480 --> 00:44:59,600 Speaker 1: in a car accident, and then a lot of people say, well, 800 00:44:59,600 --> 00:45:01,400 Speaker 1: why would you even do an autopsy? You know, they 801 00:45:01,440 --> 00:45:03,719 Speaker 1: died as a result of the car accident. But then 802 00:45:03,760 --> 00:45:05,759 Speaker 1: sometimes you do the autopsy and you open up the 803 00:45:05,760 --> 00:45:07,560 Speaker 1: brain and you see that they have a tumor, and 804 00:45:07,600 --> 00:45:10,799 Speaker 1: then you're like, oh, well, maybe that brain tumor was 805 00:45:10,880 --> 00:45:14,040 Speaker 1: actually the reason that caused them to have this car 806 00:45:14,080 --> 00:45:16,480 Speaker 1: accident or a heart attack or something like that. So 807 00:45:16,520 --> 00:45:20,880 Speaker 1: sometimes natural disease is contributory and forensic cases, but in 808 00:45:20,920 --> 00:45:24,000 Speaker 1: this particular one, I don't think it's going to be 809 00:45:24,040 --> 00:45:25,319 Speaker 1: contributory at all. 810 00:45:26,600 --> 00:45:29,080 Speaker 2: No. I mean this is already what has it been, 811 00:45:29,200 --> 00:45:31,759 Speaker 2: not even twenty four hours, and this is already so 812 00:45:31,920 --> 00:45:32,759 Speaker 2: much information. 813 00:45:33,600 --> 00:45:36,800 Speaker 1: Yeah, and I mean like we're gonna hear more for sure, 814 00:45:36,960 --> 00:45:39,399 Speaker 1: And it's just, you know, it is it's just really 815 00:45:39,480 --> 00:45:43,839 Speaker 1: unfortunate because when you watch and we have all this 816 00:45:43,920 --> 00:45:46,120 Speaker 1: linked in the post and the grocer room as well, 817 00:45:46,160 --> 00:45:50,480 Speaker 1: but when you watch this interview with the Sun, you 818 00:45:50,680 --> 00:45:54,520 Speaker 1: just think like they're being open in this interview about 819 00:45:54,560 --> 00:45:58,600 Speaker 1: the struggles, but nobody really truly understands the struggles that 820 00:45:58,640 --> 00:46:02,239 Speaker 1: people are going through hind closed doors. And obviously being 821 00:46:02,280 --> 00:46:07,839 Speaker 1: such a public, well liked, well respected Hollywood figure, they 822 00:46:07,880 --> 00:46:12,200 Speaker 1: don't air nowhere near all their dirty laundry. And I 823 00:46:12,320 --> 00:46:17,200 Speaker 1: just keep thinking like this daughter, like just what the 824 00:46:17,239 --> 00:46:21,960 Speaker 1: other children who are are more living through this as well, 825 00:46:22,040 --> 00:46:24,440 Speaker 1: their whole life have been dealing with this with their brother. 826 00:46:24,560 --> 00:46:28,120 Speaker 1: Only for it to end like this is just it's 827 00:46:28,239 --> 00:46:31,799 Speaker 1: just like such a huge weight on your heart. You know. 828 00:46:31,960 --> 00:46:34,560 Speaker 1: I used to work with a woman who had a 829 00:46:34,640 --> 00:46:37,319 Speaker 1: daughter closely with a woman who had a daughter who 830 00:46:37,440 --> 00:46:42,320 Speaker 1: had a heroin addiction, and I mean it really, really 831 00:46:42,360 --> 00:46:45,400 Speaker 1: really destroyed her for years. It was just constant, like 832 00:46:46,840 --> 00:46:50,040 Speaker 1: just not hearing from her daughter for days, never knowing 833 00:46:50,080 --> 00:46:52,800 Speaker 1: when she was getting that call. And then she finally 834 00:46:52,840 --> 00:46:55,120 Speaker 1: got that call that she was dead, and honestly, she 835 00:46:55,239 --> 00:46:59,279 Speaker 1: told me she was relieved. Like that's terrible to think 836 00:46:59,320 --> 00:47:03,960 Speaker 1: about your child, but like, I mean, like it's so 837 00:47:04,160 --> 00:47:06,919 Speaker 1: much when there's someone like that's so volatile in your 838 00:47:06,960 --> 00:47:10,400 Speaker 1: in your family like that, and to think that that 839 00:47:10,560 --> 00:47:13,120 Speaker 1: they have to I mean, your parents both dying at 840 00:47:13,120 --> 00:47:16,400 Speaker 1: the same time is just terrible anyway. Your parents getting 841 00:47:16,440 --> 00:47:19,280 Speaker 1: murdered is terrible anyway, but to think that your brother 842 00:47:19,360 --> 00:47:20,440 Speaker 1: did it is just like. 843 00:47:21,320 --> 00:47:24,120 Speaker 2: Well, and they're not normal people either, so like this 844 00:47:24,440 --> 00:47:27,680 Speaker 2: isn't going away anytime soon, and I doubt they're going 845 00:47:27,760 --> 00:47:29,799 Speaker 2: to be able to grieve in private at all. 846 00:47:30,760 --> 00:47:34,080 Speaker 1: And I mean every and it seems like, I mean, 847 00:47:34,120 --> 00:47:37,480 Speaker 1: Billy Crystal was outside of the house. Larry David like huge, 848 00:47:37,800 --> 00:47:41,839 Speaker 1: huge stars just and and listen, like anybody that's close 849 00:47:41,840 --> 00:47:46,960 Speaker 1: friends with these people are probably not surprised if they 850 00:47:47,040 --> 00:47:50,280 Speaker 1: really know what's been going on in their life. Because 851 00:47:50,960 --> 00:47:53,040 Speaker 1: I think the sister's words of saying that he was 852 00:47:53,160 --> 00:47:56,920 Speaker 1: dangerous makes me think that there's been threats before, and 853 00:47:56,960 --> 00:48:01,240 Speaker 1: there's been situations before that they have and keeping private. 854 00:48:01,920 --> 00:48:02,640 Speaker 2: Oh totally. 855 00:48:03,239 --> 00:48:07,000 Speaker 1: So I think that's all for today. We could obviously, 856 00:48:07,080 --> 00:48:11,239 Speaker 1: like it's the afternoon on Monday, and by tomorrow, who 857 00:48:11,280 --> 00:48:13,920 Speaker 1: knows what else we'll know about this case and maybe 858 00:48:13,960 --> 00:48:16,959 Speaker 1: we'll briefly discuss it again. But we just couldn't wait 859 00:48:17,239 --> 00:48:19,240 Speaker 1: until tomorrow to get you this news. 860 00:48:19,600 --> 00:48:22,839 Speaker 2: No, and it just really quick to wrap this episode up. 861 00:48:23,239 --> 00:48:26,719 Speaker 2: The crazy news weekend didn't end there because oh yeah, 862 00:48:26,760 --> 00:48:29,320 Speaker 2: like exactly. I'm like, you're like, you're wrapping up of 863 00:48:29,440 --> 00:48:30,520 Speaker 2: like we have a whole other thing. 864 00:48:30,440 --> 00:48:35,959 Speaker 1: We I seriously totally texted Maria today the Moreton Salt girl, 865 00:48:36,160 --> 00:48:40,279 Speaker 1: like when it rains, it pours, it's just to think 866 00:48:40,320 --> 00:48:43,279 Speaker 1: about everything that's happened in the past twenty four or 867 00:48:43,320 --> 00:48:45,759 Speaker 1: so hours is just out of control, all. 868 00:48:45,719 --> 00:48:48,439 Speaker 2: Right, So we haven't. I don't think we've covered this 869 00:48:48,680 --> 00:48:51,120 Speaker 2: case on here at all. I don't remember if we 870 00:48:51,360 --> 00:48:54,560 Speaker 2: talked about it when it first happened, but I don't. 871 00:48:54,200 --> 00:48:55,520 Speaker 2: I don't think so. 872 00:48:55,760 --> 00:48:58,440 Speaker 1: I thought I thought we did because we did actually 873 00:48:58,520 --> 00:49:03,359 Speaker 1: because we talked about his text messages. 874 00:49:03,320 --> 00:49:06,239 Speaker 2: Well, we talked about him on the YouTube live. But 875 00:49:06,320 --> 00:49:08,480 Speaker 2: I don't think we did it on this show, Okay, 876 00:49:08,600 --> 00:49:12,319 Speaker 2: So okay, so just really quick because we will be 877 00:49:12,360 --> 00:49:15,000 Speaker 2: covering this more at length, especially in the grocery. We're 878 00:49:15,000 --> 00:49:16,960 Speaker 2: going to do a whole disection on it too. But 879 00:49:17,360 --> 00:49:19,920 Speaker 2: this guy, Brian Walsh, was just on trial for the 880 00:49:20,000 --> 00:49:22,680 Speaker 2: murder and dismemberment of his wife, who was last seen 881 00:49:23,200 --> 00:49:25,799 Speaker 2: on New Year's Eve in twenty twenty two. So they're 882 00:49:25,840 --> 00:49:28,960 Speaker 2: thinking she died New Year's Day twenty twenty three, so 883 00:49:29,320 --> 00:49:32,320 Speaker 2: her body was never found and he's been on trial 884 00:49:32,400 --> 00:49:34,440 Speaker 2: for her murder. They think he dumped her body in 885 00:49:34,480 --> 00:49:37,040 Speaker 2: a nearby dumpster, which was nearly impossible to find. They 886 00:49:37,040 --> 00:49:40,120 Speaker 2: didn't find anything, So he's been on trial for the 887 00:49:40,160 --> 00:49:44,680 Speaker 2: past couple weeks, and this morning he was found guilty. 888 00:49:46,200 --> 00:49:48,359 Speaker 1: Yeah. I mean, and like, listen, how are they not 889 00:49:48,440 --> 00:49:54,359 Speaker 1: going to find this guy guilty? Obviously he's guilty. I mean, 890 00:49:54,440 --> 00:49:58,560 Speaker 1: there's who else goes to Low's and is on video 891 00:49:58,680 --> 00:50:01,520 Speaker 1: buying a half hat, salt. 892 00:50:01,480 --> 00:50:05,880 Speaker 2: Buckets, buckets, cleaner and rags for four hundred and a 893 00:50:06,000 --> 00:50:09,600 Speaker 2: high vex suit, a tigh vex suit. Yeah, and then 894 00:50:09,719 --> 00:50:12,680 Speaker 2: other information came out that she was having an affair 895 00:50:13,400 --> 00:50:16,200 Speaker 2: her life insurance policy was worth five hundred thousand dollars. 896 00:50:16,280 --> 00:50:19,799 Speaker 2: They had three sons that were really young. It is 897 00:50:20,000 --> 00:50:23,600 Speaker 2: extremely disturbing this case, and I can't wait to line 898 00:50:23,640 --> 00:50:25,840 Speaker 2: out all the details because it just gets even worse. 899 00:50:25,880 --> 00:50:28,480 Speaker 2: Like he had these terrible Google searches, one of which, 900 00:50:28,480 --> 00:50:31,600 Speaker 2: for example, for shortness of this episode, is ten ways 901 00:50:31,640 --> 00:50:34,280 Speaker 2: to dispose of a dead body if you really need to. Okay, 902 00:50:34,280 --> 00:50:37,360 Speaker 2: you're not guilty at all. He also was searching something 903 00:50:37,400 --> 00:50:39,920 Speaker 2: to do with porn that had to do with affairs. 904 00:50:40,800 --> 00:50:42,960 Speaker 2: But yeah, he was found guilty of first agree murder 905 00:50:43,360 --> 00:50:47,160 Speaker 2: murdered this morning and he's facing life in prison without parole, 906 00:50:47,200 --> 00:50:49,480 Speaker 2: and his sentencing hearing is set for Wednesday morning. 907 00:50:50,480 --> 00:50:52,800 Speaker 1: Yeah, so we'll do a high profile depth of section 908 00:50:52,960 --> 00:50:55,160 Speaker 1: on this in the gross term at some point too, 909 00:50:55,360 --> 00:50:58,640 Speaker 1: just because it's a little bit it's a little bit 910 00:50:58,680 --> 00:51:01,960 Speaker 1: different with the Google searches are just like super interesting 911 00:51:02,040 --> 00:51:05,480 Speaker 1: to me, and it's amazing to me that there's not 912 00:51:05,640 --> 00:51:08,239 Speaker 1: some kind of system. I guess that triggers that. But 913 00:51:08,680 --> 00:51:12,040 Speaker 1: I also was saying in the grocery beide jail, Yeah, 914 00:51:12,520 --> 00:51:16,279 Speaker 1: I mean, but the thing is is that I feel 915 00:51:16,360 --> 00:51:19,160 Speaker 1: like it's quite obvious that we do this for a living, 916 00:51:19,160 --> 00:51:22,080 Speaker 1: and some of my searches are because of that. Whereas 917 00:51:22,440 --> 00:51:25,440 Speaker 1: if you just have a person that's just like searching 918 00:51:25,480 --> 00:51:27,799 Speaker 1: for porn and searching for like how to get to 919 00:51:27,880 --> 00:51:30,000 Speaker 1: lows and things like that, and then all of a 920 00:51:30,040 --> 00:51:32,520 Speaker 1: sudden they have searches about like how to get rid 921 00:51:32,560 --> 00:51:34,799 Speaker 1: of a dead body, what to do with a dead body, this, that, 922 00:51:34,840 --> 00:51:37,520 Speaker 1: and the other. You'd be like, Okay, this is a 923 00:51:37,520 --> 00:51:40,279 Speaker 1: little weird, like what does anybody want to do with 924 00:51:40,320 --> 00:51:44,040 Speaker 1: this information? So, but I mean that's the good and 925 00:51:44,080 --> 00:51:47,040 Speaker 1: bad part of the Internet because sometimes, I mean think 926 00:51:47,080 --> 00:51:49,640 Speaker 1: about it, like sometimes you'll just be like sitting around 927 00:51:49,680 --> 00:51:52,600 Speaker 1: with your friends and talking about something that's like really weird. 928 00:51:52,640 --> 00:51:55,839 Speaker 1: And I mean even when we went to dinner with 929 00:51:55,880 --> 00:52:00,440 Speaker 1: our East Coast True Crime family on Friday night, we 930 00:52:00,480 --> 00:52:03,640 Speaker 1: saw our friend Barbara Butcher and we were like, hey, 931 00:52:04,280 --> 00:52:08,520 Speaker 1: we have a question if somebody puts body parts into 932 00:52:08,600 --> 00:52:11,759 Speaker 1: a dumpster actually was pertaining to this case, because he 933 00:52:11,880 --> 00:52:14,200 Speaker 1: did say that he dismembered her body and put it 934 00:52:14,239 --> 00:52:17,360 Speaker 1: in trash cans and it went into a dumpster. The 935 00:52:17,440 --> 00:52:20,000 Speaker 1: problem is is that they don't know what day it was, 936 00:52:20,040 --> 00:52:22,520 Speaker 1: They don't know there would just be no way to 937 00:52:22,600 --> 00:52:25,240 Speaker 1: figure out like where all those dumpsters took the bodies 938 00:52:25,280 --> 00:52:28,719 Speaker 1: and find the body parts in the landfill. And but 939 00:52:28,760 --> 00:52:32,960 Speaker 1: there are definitely cases of investigators going to landfill looking 940 00:52:33,000 --> 00:52:36,399 Speaker 1: for body parts. So we said to Barbara, who we've 941 00:52:36,440 --> 00:52:39,720 Speaker 1: interviewed on the show before. She has a true crime 942 00:52:39,800 --> 00:52:44,120 Speaker 1: show on Oxygen channel, Death Investigator, The Death Investigator, which 943 00:52:44,160 --> 00:52:46,080 Speaker 1: is on Oxygen, and she just told me that it's 944 00:52:46,080 --> 00:52:49,439 Speaker 1: streaming on Peacock as well. So we were like, Hey, 945 00:52:50,239 --> 00:52:53,520 Speaker 1: what happens if there's a body that gets put into 946 00:52:53,560 --> 00:52:55,560 Speaker 1: a dumpster and it goes to a landfill? Like who 947 00:52:55,560 --> 00:52:57,600 Speaker 1: looks for that? Is that the cops? Is that the 948 00:52:57,680 --> 00:53:01,960 Speaker 1: coroner's office? Like what's happening there? And and like if 949 00:53:01,960 --> 00:53:04,440 Speaker 1: we didn't see her that night, we could have googled it. 950 00:53:04,480 --> 00:53:07,000 Speaker 1: People are just curious about stuff like that. That doesn't 951 00:53:07,040 --> 00:53:08,839 Speaker 1: mean that we're trying to kill somebody and put them 952 00:53:08,840 --> 00:53:13,360 Speaker 1: in a dumpster, and like, you know, but in this case, 953 00:53:13,400 --> 00:53:18,359 Speaker 1: there's just so much evidence against him. So so yeah, 954 00:53:18,400 --> 00:53:21,719 Speaker 1: well and like obviously if we hear more about that too, 955 00:53:21,800 --> 00:53:25,440 Speaker 1: but tune into the Gross Room within the next I 956 00:53:25,440 --> 00:53:27,400 Speaker 1: would say month or two, because we're going to do 957 00:53:27,440 --> 00:53:29,799 Speaker 1: a deep dive on that and all of the investigation 958 00:53:29,920 --> 00:53:35,120 Speaker 1: that they found, and because in that particular case, when 959 00:53:35,120 --> 00:53:39,279 Speaker 1: they don't have a body, and the defense was saying, oh, 960 00:53:39,400 --> 00:53:42,160 Speaker 1: she died of natural causes, and I just was scared 961 00:53:42,239 --> 00:53:45,400 Speaker 1: because you know, she was having this affair and I 962 00:53:45,440 --> 00:53:47,279 Speaker 1: thought you guys would think it was me. I just 963 00:53:47,280 --> 00:53:50,239 Speaker 1: put her in the dumpster and cut her up. I mean, 964 00:53:50,320 --> 00:53:55,239 Speaker 1: technically he should only be getting charge with how could 965 00:53:55,280 --> 00:53:57,759 Speaker 1: they prove that he actually killed her when there's no 966 00:53:57,880 --> 00:54:00,960 Speaker 1: body to see if that's true. Get into all that 967 00:54:01,080 --> 00:54:04,200 Speaker 1: because because that defense is ridiculous. But guess what, Like 968 00:54:04,320 --> 00:54:07,680 Speaker 1: that defense worked in the Casey Anthony trial when they said, oh, 969 00:54:07,800 --> 00:54:09,800 Speaker 1: she drowned in the pool and we just put her body. 970 00:54:09,800 --> 00:54:11,600 Speaker 1: We freaked out and panicked and put her body in 971 00:54:11,600 --> 00:54:15,080 Speaker 1: the woods, Like when you could when you could give 972 00:54:15,120 --> 00:54:17,480 Speaker 1: reasonable doubt to a jury member that that is the 973 00:54:17,560 --> 00:54:20,560 Speaker 1: possibility that that happened, because you're not able to determine 974 00:54:20,560 --> 00:54:22,319 Speaker 1: what the actual cause of death was. 975 00:54:22,520 --> 00:54:26,120 Speaker 2: Dumping a body and cutting up a body or kind 976 00:54:26,160 --> 00:54:29,840 Speaker 2: of just like different because like you're taking the extra 977 00:54:29,880 --> 00:54:31,280 Speaker 2: effort to totally. 978 00:54:31,680 --> 00:54:35,040 Speaker 1: But it doesn't matter. That's not that that that's not 979 00:54:35,200 --> 00:54:37,719 Speaker 1: murdering somebody though you can get in trouble for like 980 00:54:39,040 --> 00:54:42,400 Speaker 1: abuse of a corpse, but that's not the same the 981 00:54:42,480 --> 00:54:45,759 Speaker 1: same charges as as homicide. 982 00:54:46,000 --> 00:54:49,359 Speaker 2: No, but clearly they had enough circumstantial evidence, whereas the 983 00:54:49,400 --> 00:54:52,440 Speaker 2: Casey Anthony case, there was enough reasonable doubt that they 984 00:54:52,440 --> 00:54:56,439 Speaker 2: didn't charge her, even though it's like, come on, but yeah, 985 00:54:56,480 --> 00:54:59,279 Speaker 2: I mean that could be argued both ways because there 986 00:54:59,360 --> 00:55:02,239 Speaker 2: was plenty of substantial evidence there. But all you need 987 00:55:02,320 --> 00:55:03,560 Speaker 2: is one person. 988 00:55:03,200 --> 00:55:06,799 Speaker 1: You know exactly So in this case though, they just 989 00:55:06,840 --> 00:55:10,080 Speaker 1: like they weren't having it. And it's really sad because 990 00:55:10,120 --> 00:55:13,480 Speaker 1: they had three little little kids to the point where 991 00:55:14,440 --> 00:55:17,680 Speaker 1: this happened two years ago, and some of them, if 992 00:55:17,719 --> 00:55:20,080 Speaker 1: not all of them, might not even remember their parents 993 00:55:20,080 --> 00:55:23,000 Speaker 1: even being together, let alone their mom being alive when 994 00:55:23,000 --> 00:55:25,160 Speaker 1: they get older, because they're very very young. 995 00:55:26,120 --> 00:55:28,560 Speaker 2: Well, we thought we were jumping on here for fifteen 996 00:55:28,640 --> 00:55:32,200 Speaker 2: minutes to talk to update you guys about the weekend 997 00:55:32,239 --> 00:55:34,759 Speaker 2: headlines because there was just so much I mean, we 998 00:55:34,840 --> 00:55:37,520 Speaker 2: just couldn't wait till tomorrow's episode. And not to mention, 999 00:55:37,640 --> 00:55:40,000 Speaker 2: there's like fifty plus other stories that need to be 1000 00:55:40,040 --> 00:55:41,520 Speaker 2: talked about in the next week or two. 1001 00:55:41,640 --> 00:55:44,439 Speaker 1: Yeah, lots of good stuff coming up, So we'll talk 1002 00:55:44,480 --> 00:55:45,440 Speaker 1: to you guys tomorrow. 1003 00:55:45,800 --> 00:55:50,080 Speaker 2: We'll be back with normal episodes the rest of this week. Yeah. 1004 00:55:50,120 --> 00:55:52,480 Speaker 2: I hope you guys enjoyed this episode, so please head 1005 00:55:52,480 --> 00:55:55,160 Speaker 2: over to Apple or Spotify, leave us or review, subscribe 1006 00:55:55,160 --> 00:55:58,520 Speaker 2: to our YouTube channel, and if you have stories, comments, 1007 00:55:58,600 --> 00:56:00,759 Speaker 2: or questions for us, please send us the stories at 1008 00:56:00,800 --> 00:56:02,160 Speaker 2: mothernosdeath dot com. 1009 00:56:02,560 --> 00:56:09,440 Speaker 1: Say you guys, thank you for listening to Mother NOO's Death. 1010 00:56:10,120 --> 00:56:13,880 Speaker 1: As a reminder, my training is as a pathologist's assistant. 1011 00:56:14,600 --> 00:56:18,040 Speaker 1: I have a master's level education and specialized in anatomy 1012 00:56:18,120 --> 00:56:21,719 Speaker 1: and pathology education. I am not a doctor and I 1013 00:56:21,719 --> 00:56:25,560 Speaker 1: have not diagnosed or treated anyone dead or alive without 1014 00:56:25,600 --> 00:56:31,000 Speaker 1: the assistance of a licensed medical doctor. This show, my website, 1015 00:56:31,080 --> 00:56:34,440 Speaker 1: and social media accounts are designed to educate and inform 1016 00:56:34,520 --> 00:56:38,759 Speaker 1: people based on my experience working in pathology, so they 1017 00:56:38,760 --> 00:56:42,200 Speaker 1: can make healthier decisions regarding their life and well being. 1018 00:56:43,320 --> 00:56:46,160 Speaker 1: Always remember that science is changing every day and the 1019 00:56:46,239 --> 00:56:49,520 Speaker 1: opinions expressed in this episode are based on my knowledge 1020 00:56:49,560 --> 00:56:53,200 Speaker 1: of those subjects at the time of publication. If you 1021 00:56:53,239 --> 00:56:57,120 Speaker 1: are having a medical problem, have a medical question, or 1022 00:56:57,320 --> 00:57:01,160 Speaker 1: having a medical emergency, please content peck your physician or 1023 00:57:01,280 --> 00:57:06,680 Speaker 1: visit an urgent care center, emergency room, or hospital. Please rate, review, 1024 00:57:06,800 --> 00:57:11,160 Speaker 1: and subscribe to Mother Knows Death on Apple, Spotify, YouTube, 1025 00:57:11,400 --> 00:57:12,920 Speaker 1: or anywhere you get podcasts. 1026 00:57:13,480 --> 00:57:23,160 Speaker 2: Thanks