1 00:00:08,039 --> 00:00:21,560 Speaker 1: Mother Knows Dad starring Nicole and Jemmy and Maria qk Hi. Everyone, 2 00:00:21,600 --> 00:00:24,400 Speaker 1: Welcome to Mother Knows Death. On today's episode, we're going 3 00:00:24,480 --> 00:00:26,960 Speaker 1: to be talking about a pretty well known person who 4 00:00:27,040 --> 00:00:31,880 Speaker 1: has died from assisted suicide, a possible new serial killer, 5 00:00:32,600 --> 00:00:38,000 Speaker 1: spraying seamen on people, and pooping on an airplane. Let's 6 00:00:38,000 --> 00:00:43,239 Speaker 1: get started with the Leapfrog founder assisted suicide. All right, 7 00:00:43,280 --> 00:00:46,000 Speaker 1: So Mike Wood, who was the founder of the educational 8 00:00:46,040 --> 00:00:49,120 Speaker 1: toy company Leapfrog, died at age seventy two by assisted 9 00:00:49,159 --> 00:00:56,280 Speaker 1: suicide in Zurich, Switzerland. Yes, so Switzerland is it's legal 10 00:00:56,440 --> 00:01:01,040 Speaker 1: to for physician assistant suicide. It's not legal everywhere in 11 00:01:01,080 --> 00:01:05,360 Speaker 1: the world. But there's a difference between physician assistant suicide 12 00:01:05,400 --> 00:01:11,600 Speaker 1: and euthanasia because the physician is just providing the medications 13 00:01:11,640 --> 00:01:14,280 Speaker 1: to the person, but they have to take it themselves, 14 00:01:14,280 --> 00:01:17,800 Speaker 1: so they're the ones that technically kill themselves, not the physician, 15 00:01:17,880 --> 00:01:22,120 Speaker 1: whereas euthanasia, the physician would give the medications directly to 16 00:01:22,200 --> 00:01:24,720 Speaker 1: the person that would kill them. Okay, I don't think 17 00:01:24,800 --> 00:01:27,800 Speaker 1: I realized there was a difference between the two. So 18 00:01:28,240 --> 00:01:34,080 Speaker 1: it's actually a really interesting story. One of the innovators 19 00:01:34,080 --> 00:01:36,720 Speaker 1: are the beginning. Doctors who used to do this was 20 00:01:37,200 --> 00:01:41,720 Speaker 1: doctor Jackovorky, and I don't remember. He was really controversial 21 00:01:41,800 --> 00:01:46,319 Speaker 1: when I was younger, and he was a pathologist actually 22 00:01:46,480 --> 00:01:49,920 Speaker 1: ironically who thought that people should be able to die 23 00:01:50,000 --> 00:01:55,960 Speaker 1: with dignity and he should be able to euthanize them essentially, 24 00:01:56,200 --> 00:01:59,840 Speaker 1: And he was actually sent to prison for eight years 25 00:02:00,040 --> 00:02:03,880 Speaker 1: and was found guilty of second degree murder. And now 26 00:02:03,920 --> 00:02:06,800 Speaker 1: it's just so crazy how far we've come that that 27 00:02:06,880 --> 00:02:09,560 Speaker 1: this is now okay in a lot of different areas 28 00:02:09,600 --> 00:02:13,200 Speaker 1: of the world. Yeah, I mean in this case, I 29 00:02:13,240 --> 00:02:16,240 Speaker 1: guess the controversy today is now that it's legal. In 30 00:02:16,280 --> 00:02:19,560 Speaker 1: some places, it's like who's to deem who's eligible and 31 00:02:19,560 --> 00:02:21,919 Speaker 1: who's not. So like in this case, for Mike Wood, 32 00:02:22,360 --> 00:02:25,400 Speaker 1: he is seventy two years old. He was diagnosed recently 33 00:02:25,760 --> 00:02:29,640 Speaker 1: with Alzheimer's. He had seemingly been undergoing some treatment for it, 34 00:02:29,680 --> 00:02:32,000 Speaker 1: but was just like, I'm not doing this, and he 35 00:02:32,080 --> 00:02:34,799 Speaker 1: made the decision. So he went to this nonprofit in 36 00:02:34,919 --> 00:02:37,720 Speaker 1: Zurich and he did it on April tenth, and he 37 00:02:37,760 --> 00:02:39,720 Speaker 1: was surrounded by his family and he died the way 38 00:02:39,760 --> 00:02:42,440 Speaker 1: he wanted to. So I guess in a lot of 39 00:02:42,440 --> 00:02:45,520 Speaker 1: these circumstances. People would say, well, like, of course, if 40 00:02:45,560 --> 00:02:48,120 Speaker 1: you were diagnosed with something like dementia Alzheimer's and you 41 00:02:48,200 --> 00:02:50,959 Speaker 1: know exactly like maybe something else like we were talking 42 00:02:50,960 --> 00:02:53,480 Speaker 1: about last week or the last two weeks, als something 43 00:02:53,520 --> 00:02:54,800 Speaker 1: you know is going to kill you and be a 44 00:02:54,800 --> 00:02:58,079 Speaker 1: horrible death. Right, maybe these people make the decision to 45 00:02:58,120 --> 00:03:00,160 Speaker 1: go forward this and people are more accepting of it. 46 00:03:00,000 --> 00:03:03,360 Speaker 1: But then there's been these situations where there's people like 47 00:03:03,480 --> 00:03:06,320 Speaker 1: my age, in their late twenties early thirties that are 48 00:03:06,360 --> 00:03:08,160 Speaker 1: making the decision to do it because they just don't 49 00:03:08,160 --> 00:03:11,920 Speaker 1: want to be alive anymore. And that's where it's sparking controversy. 50 00:03:11,960 --> 00:03:15,840 Speaker 1: Who cares, Well, a lot of people care, but listen, like, 51 00:03:16,880 --> 00:03:22,639 Speaker 1: why does anybody care about what I'm doing with my life? Well, yeah, 52 00:03:22,800 --> 00:03:25,160 Speaker 1: I guess because like I don't give it. Okay, you 53 00:03:25,240 --> 00:03:29,520 Speaker 1: could care, but like that's not your problem, that's my problem. Yeah, 54 00:03:29,520 --> 00:03:32,200 Speaker 1: But it's it's still suicide at the end of the day, 55 00:03:32,240 --> 00:03:34,680 Speaker 1: whether it's assisted or not. So I guess people just 56 00:03:34,720 --> 00:03:38,400 Speaker 1: have a problem with people helping people die by suicide. Yeah, 57 00:03:38,480 --> 00:03:41,160 Speaker 1: I guess. I But like I just think it's dumb. 58 00:03:41,400 --> 00:03:43,280 Speaker 1: Like I think if you're gonna do it. You're gonna 59 00:03:43,320 --> 00:03:46,600 Speaker 1: do it. You're going to do it exactly like people 60 00:03:46,680 --> 00:03:50,080 Speaker 1: might just whatever. I we don't have to get into 61 00:03:50,120 --> 00:03:53,000 Speaker 1: a debate about that. I just never really understood like 62 00:03:53,560 --> 00:03:56,480 Speaker 1: why people are getting involved with that, Like if a 63 00:03:56,520 --> 00:03:59,160 Speaker 1: person decides they want to die, like you're you're like 64 00:03:59,280 --> 00:04:02,800 Speaker 1: someone else trying to tell people how to live their life. 65 00:04:02,880 --> 00:04:07,000 Speaker 1: It's well, that's how society operates today. So that's not 66 00:04:07,080 --> 00:04:10,200 Speaker 1: really surprising in general. All right, So the physician assistant 67 00:04:10,240 --> 00:04:14,080 Speaker 1: suicide in switzerland's kind of interesting. There's a company there 68 00:04:14,120 --> 00:04:18,320 Speaker 1: called Dignata that is a non for profit organization that's 69 00:04:18,360 --> 00:04:23,000 Speaker 1: helped over a thousand people die by suicide since nineteen 70 00:04:23,120 --> 00:04:29,360 Speaker 1: ninety eight. So what's interesting, I guess is that when 71 00:04:29,360 --> 00:04:33,640 Speaker 1: you die by suicide in Switzerland, it automatically triggers a 72 00:04:33,720 --> 00:04:36,960 Speaker 1: death investigation, right, which would be the same here or 73 00:04:37,040 --> 00:04:41,400 Speaker 1: anything like that. And they're starting to get worried about 74 00:04:41,440 --> 00:04:44,760 Speaker 1: the cost of that because people are going there for 75 00:04:44,920 --> 00:04:49,440 Speaker 1: death tourism, which means that if you want to die 76 00:04:49,480 --> 00:04:51,400 Speaker 1: and you know that you want to do this, you 77 00:04:51,440 --> 00:04:53,920 Speaker 1: can go on a trip there and get it done there, 78 00:04:54,320 --> 00:04:56,920 Speaker 1: but you're not a tax payer or whatever. So like 79 00:04:56,960 --> 00:04:59,279 Speaker 1: you're not paying into the system that pays for these 80 00:04:59,320 --> 00:05:02,440 Speaker 1: death investigation, so you understand how that could become a 81 00:05:02,440 --> 00:05:06,920 Speaker 1: burden on a country. So this company, since they do 82 00:05:07,000 --> 00:05:10,240 Speaker 1: so many of them, they have this agreement with the 83 00:05:10,839 --> 00:05:15,200 Speaker 1: Switzerland government that as soon as the person takes the 84 00:05:15,240 --> 00:05:19,120 Speaker 1: cocktail and dies, they video record the whole thing happening, 85 00:05:19,240 --> 00:05:22,599 Speaker 1: so then the police can see it happening, and then 86 00:05:22,880 --> 00:05:26,440 Speaker 1: afterwards the police come and then the funeral directors will 87 00:05:26,480 --> 00:05:28,039 Speaker 1: come pick up the body and they have like a 88 00:05:28,040 --> 00:05:32,080 Speaker 1: whole entire system for it, which will kind of help 89 00:05:32,200 --> 00:05:35,080 Speaker 1: along the process of not taking so much resources for 90 00:05:35,120 --> 00:05:40,520 Speaker 1: the death investigation. And the whole thing is just so 91 00:05:41,000 --> 00:05:43,039 Speaker 1: we're going to do a high profile death dissection on 92 00:05:43,080 --> 00:05:48,560 Speaker 1: this because it's super interesting. But basically, this particular company 93 00:05:48,640 --> 00:05:53,839 Speaker 1: or organization gives pentobarbital, which is a drug that causes 94 00:05:53,960 --> 00:05:57,520 Speaker 1: the central nervous system to kind of shut down and 95 00:05:58,000 --> 00:06:01,279 Speaker 1: you'll go into you'll it's it's just kind of like 96 00:06:01,320 --> 00:06:03,719 Speaker 1: when you're getting ready to go into surgery, like you'll 97 00:06:03,720 --> 00:06:07,240 Speaker 1: fall asleep and won't even know what's happening. It's just 98 00:06:07,320 --> 00:06:09,919 Speaker 1: crazy because they mix the powder with water and have 99 00:06:10,040 --> 00:06:13,320 Speaker 1: you take a drink, and before you even take the drink, 100 00:06:13,360 --> 00:06:15,839 Speaker 1: they say to say all your final words, because they're like, 101 00:06:15,880 --> 00:06:17,839 Speaker 1: you're going to have about three to five minutes before 102 00:06:17,839 --> 00:06:20,560 Speaker 1: you fall asleep, and then you die within thirty to 103 00:06:20,600 --> 00:06:23,960 Speaker 1: forty minutes of that. Wow. Yeah, it's it's really nuts. 104 00:06:24,040 --> 00:06:27,400 Speaker 1: But so there was a so there's a case, a 105 00:06:27,440 --> 00:06:30,599 Speaker 1: couple cases of course, because there's like controversy and problems 106 00:06:30,640 --> 00:06:35,080 Speaker 1: with everything. So this woman that went there had so 107 00:06:35,279 --> 00:06:38,120 Speaker 1: the company has like a whole entire thing of what 108 00:06:38,160 --> 00:06:40,400 Speaker 1: you have to go through if you have to contact them, 109 00:06:40,400 --> 00:06:42,280 Speaker 1: and then they want you to send your medical records 110 00:06:42,279 --> 00:06:44,240 Speaker 1: over and they want you to prove while you're doing this, 111 00:06:44,400 --> 00:06:47,400 Speaker 1: and there's counseling and if you decide you don't want 112 00:06:47,400 --> 00:06:49,280 Speaker 1: to do it, that's fine, and all this stuff. Well, 113 00:06:49,320 --> 00:06:51,640 Speaker 1: apparently one of this woman that was sixty nine years 114 00:06:51,680 --> 00:06:54,279 Speaker 1: old sent her medical records over to this company and 115 00:06:54,320 --> 00:06:58,200 Speaker 1: saying that she had terminal cirrhosis, and she was given 116 00:06:58,320 --> 00:07:02,320 Speaker 1: an autopsy afterwards, and they found that she not only 117 00:07:02,560 --> 00:07:05,120 Speaker 1: did not have cirrhosis, but she was one hundred percent 118 00:07:05,480 --> 00:07:09,600 Speaker 1: perfectly physically fine anyway, and she had fudged the medical 119 00:07:09,640 --> 00:07:12,640 Speaker 1: records because she suffered from depression in order to get 120 00:07:12,640 --> 00:07:15,000 Speaker 1: this done and then so you know, there's all this 121 00:07:15,120 --> 00:07:17,520 Speaker 1: controversy about that, and I don't know. The way I 122 00:07:17,560 --> 00:07:20,240 Speaker 1: look at it is like, and I've said this from 123 00:07:20,320 --> 00:07:24,120 Speaker 1: the beginning, like mental illness is just like having cancer 124 00:07:24,160 --> 00:07:27,520 Speaker 1: in an organ or something. It's just pathology in your brain. 125 00:07:28,040 --> 00:07:32,000 Speaker 1: And I don't see why that matters if that's if 126 00:07:32,080 --> 00:07:34,360 Speaker 1: the woman wanted to die. Just don't see why that 127 00:07:34,400 --> 00:07:38,640 Speaker 1: matters in my opinion. But it is like kind of 128 00:07:38,680 --> 00:07:41,680 Speaker 1: crazy that you could just give someone a little shot 129 00:07:41,720 --> 00:07:44,440 Speaker 1: glass of something and kill them that quickly. So for 130 00:07:44,480 --> 00:07:46,880 Speaker 1: the past couple of weeks, I've been hearing rumblings about 131 00:07:46,880 --> 00:07:49,760 Speaker 1: a serial killer in Austin, so I'm kind of surprised. 132 00:07:49,760 --> 00:07:52,360 Speaker 1: There's also rumors going around that there's one in New 133 00:07:52,360 --> 00:07:55,880 Speaker 1: England too. I haven't even heard about the Austin one well, 134 00:07:55,920 --> 00:07:58,200 Speaker 1: so that's not is highly publicized. But when I was 135 00:07:58,240 --> 00:08:00,680 Speaker 1: looking into it, it seems like a couple of bodies 136 00:08:00,680 --> 00:08:03,640 Speaker 1: have been found at Ladybirds Lake. So there's been all 137 00:08:03,640 --> 00:08:08,080 Speaker 1: this speculation about this killer, but they're unconfirmed. They're calling 138 00:08:08,160 --> 00:08:10,840 Speaker 1: this person the Rainy Lake Killer. And last year, this 139 00:08:11,000 --> 00:08:13,160 Speaker 1: change dot org came out where they were explaining that 140 00:08:13,200 --> 00:08:16,360 Speaker 1: twenty plus bodies have been found there in multiple years. 141 00:08:17,000 --> 00:08:21,040 Speaker 1: So of course everybody in the true crime world and 142 00:08:21,120 --> 00:08:24,160 Speaker 1: these citizens louse are on it. But of course the 143 00:08:24,200 --> 00:08:28,040 Speaker 1: same thing's happening with New England too. Yeah, it's crazy 144 00:08:28,040 --> 00:08:30,600 Speaker 1: because when you look at the map of where all 145 00:08:30,640 --> 00:08:33,800 Speaker 1: of these bodies have been being found in New England, 146 00:08:34,000 --> 00:08:37,360 Speaker 1: it's the radius is kind of huge and it's hours 147 00:08:37,400 --> 00:08:40,199 Speaker 1: away from each other. I'm not saying that it's not possible, 148 00:08:40,720 --> 00:08:45,680 Speaker 1: but just the fact that there's dead people doesn't mean 149 00:08:45,720 --> 00:08:49,640 Speaker 1: that there's a connection, and it also doesn't mean it 150 00:08:49,679 --> 00:08:54,640 Speaker 1: doesn't mean anything honestly. I mean, so yesterday they were 151 00:08:54,679 --> 00:08:58,640 Speaker 1: saying that eight bodies were potentially connected to this serial 152 00:08:58,720 --> 00:09:01,480 Speaker 1: killer in New England, and as of the Sporting Fox 153 00:09:01,600 --> 00:09:03,960 Speaker 1: was reporting that two more bodies have been found, So 154 00:09:04,040 --> 00:09:05,840 Speaker 1: now people want to try to rope that in two. 155 00:09:06,160 --> 00:09:09,280 Speaker 1: So we potentially have ten dead bodies, most of them 156 00:09:09,280 --> 00:09:13,040 Speaker 1: are female, I think the ones that they are are 157 00:09:13,080 --> 00:09:17,480 Speaker 1: not saying specifically or female or bodies that were remains 158 00:09:17,520 --> 00:09:20,400 Speaker 1: that were unidentifiable, So they don't know for a fact 159 00:09:20,520 --> 00:09:24,320 Speaker 1: yet if those remains belong to females or not. But yeah, 160 00:09:24,360 --> 00:09:28,520 Speaker 1: I agree with you the net of where this person is, 161 00:09:28,559 --> 00:09:30,800 Speaker 1: but that's the only thing that they have in common 162 00:09:30,880 --> 00:09:34,520 Speaker 1: is that they're dead bodies basically, and maybe that they're women. 163 00:09:34,679 --> 00:09:37,240 Speaker 1: But even they showed pictures of three of the ladies, 164 00:09:37,320 --> 00:09:40,439 Speaker 1: and like you, I don't know. I feel like sometimes 165 00:09:40,480 --> 00:09:42,920 Speaker 1: when when a person's a serial killer, you look at 166 00:09:42,920 --> 00:09:45,440 Speaker 1: their victims and they all are kind of like similar. 167 00:09:46,559 --> 00:09:49,840 Speaker 1: You know, Jeffrey Dahmer's it's just like they had like 168 00:09:49,920 --> 00:09:53,480 Speaker 1: a certain demographic. And it's the same with Ted Bondy. 169 00:09:53,600 --> 00:09:55,280 Speaker 1: They all, you know, and this one's just kind of 170 00:09:55,320 --> 00:09:57,680 Speaker 1: like I can't Like two of the women look to 171 00:09:57,720 --> 00:10:00,640 Speaker 1: be around my age, and it's it's a black chick 172 00:10:00,679 --> 00:10:02,319 Speaker 1: and a white chick, and then there's like an older 173 00:10:02,360 --> 00:10:04,360 Speaker 1: black woman who looks like she's in her sixties. Like 174 00:10:04,400 --> 00:10:06,360 Speaker 1: I'm kind of like I don't see the connection there, 175 00:10:07,840 --> 00:10:12,080 Speaker 1: and like it's totally possible, but as of right now, 176 00:10:12,120 --> 00:10:16,200 Speaker 1: the police haven't said anything right as far as there's 177 00:10:16,360 --> 00:10:18,839 Speaker 1: a connection, like they all had their throat sliced or 178 00:10:18,880 --> 00:10:22,400 Speaker 1: something like that, Like there was nothing out there yet 179 00:10:22,600 --> 00:10:25,440 Speaker 1: that we've heard. So I think this is important to 180 00:10:25,480 --> 00:10:28,040 Speaker 1: note when we've talked to like crime scene investigators like 181 00:10:28,160 --> 00:10:31,520 Speaker 1: Cheryl and everything. Right, it's like, even if there is 182 00:10:31,559 --> 00:10:34,959 Speaker 1: a connection, this is an open case and this person 183 00:10:35,120 --> 00:10:37,920 Speaker 1: is possibly still in the loose, so the police are 184 00:10:37,960 --> 00:10:40,959 Speaker 1: not going to exactly be that forthcoming about it at 185 00:10:40,960 --> 00:10:44,720 Speaker 1: this time because it's an investigation. So you have these 186 00:10:44,800 --> 00:10:48,000 Speaker 1: people online, like this Facebook group that has almost seventy 187 00:10:48,120 --> 00:10:53,480 Speaker 1: thousand members perpetuating these rumors that the serial killers in existence, 188 00:10:53,559 --> 00:10:57,520 Speaker 1: which very well may be true. But you're like criticizing 189 00:10:57,559 --> 00:11:00,160 Speaker 1: the police for not being forthcoming about it. But it's 190 00:11:00,200 --> 00:11:02,920 Speaker 1: an open investigation and you don't want to tip the 191 00:11:03,000 --> 00:11:05,720 Speaker 1: killer off if there really is a serial killer active 192 00:11:05,760 --> 00:11:08,880 Speaker 1: right now. God, they have to be so extra closed 193 00:11:09,040 --> 00:11:12,520 Speaker 1: lip about stuff because they're scared to death of any 194 00:11:12,720 --> 00:11:16,600 Speaker 1: These like true crime people on these online forums are 195 00:11:16,679 --> 00:11:21,440 Speaker 1: like intense aggressive. Wait see, you're gonna love this too. 196 00:11:21,520 --> 00:11:24,880 Speaker 1: So this Facebook group was called New England serial Killer 197 00:11:25,280 --> 00:11:27,320 Speaker 1: and I went on it today. I joined it to 198 00:11:27,360 --> 00:11:29,240 Speaker 1: try to see what it was about. But my pending 199 00:11:29,280 --> 00:11:33,760 Speaker 1: approval still But their name has been changed to pending 200 00:11:33,840 --> 00:11:37,000 Speaker 1: new group name. Meta just did that? They like told 201 00:11:37,240 --> 00:11:39,760 Speaker 1: they just removed their name New England serial Killer and 202 00:11:39,840 --> 00:11:44,000 Speaker 1: change the group name. Depending new group name Are you serious? Yeah, 203 00:11:44,000 --> 00:11:46,600 Speaker 1: and they like literally when you go on to join 204 00:11:46,640 --> 00:11:48,320 Speaker 1: the group and it's showing you like the rules of 205 00:11:48,320 --> 00:11:51,560 Speaker 1: the Facebook group and everything. It's like, for absolutely no reason, 206 00:11:51,640 --> 00:11:53,520 Speaker 1: Facebook change the name of our group and we don't 207 00:11:53,600 --> 00:11:55,960 Speaker 1: know it there's there. I'll tell you why, because the 208 00:11:55,960 --> 00:11:58,640 Speaker 1: same bullshit that they do to me every day. I 209 00:11:58,840 --> 00:12:07,600 Speaker 1: posted my mystery diagnosis, what's today Tuesday? Yesterday, today's Monday? Yeah, 210 00:12:07,640 --> 00:12:09,640 Speaker 1: we have no idea. I have no idea what it is. 211 00:12:09,720 --> 00:12:13,079 Speaker 1: I posted it, and so I posted it on Instagram 212 00:12:13,080 --> 00:12:16,280 Speaker 1: and then I copied it to Facebook, and within five 213 00:12:16,360 --> 00:12:20,320 Speaker 1: minutes I had it removed from Facebook. And I'm not 214 00:12:20,360 --> 00:12:22,800 Speaker 1: going to tell you what the answer is because it's 215 00:12:23,040 --> 00:12:26,960 Speaker 1: an open mystery diagnosis. But it's not graphic violence like 216 00:12:27,000 --> 00:12:30,160 Speaker 1: they said it was and flagged me. Well, they did 217 00:12:30,240 --> 00:12:34,680 Speaker 1: restore it Tuesday morning. So according to on my Facebook, 218 00:12:34,760 --> 00:12:37,120 Speaker 1: when I logged into my Facebook because I have yours 219 00:12:37,120 --> 00:12:39,360 Speaker 1: attached to mine, it said that they had restored it 220 00:12:39,400 --> 00:12:43,160 Speaker 1: and they realized their review team had made an error. Well, 221 00:12:43,160 --> 00:12:45,640 Speaker 1: at least they look at all the other at least 222 00:12:45,640 --> 00:12:47,839 Speaker 1: they look at it, because Instagram they don't. They don't 223 00:12:47,880 --> 00:12:50,200 Speaker 1: look at it. Did I tell you guys that I'm 224 00:12:50,200 --> 00:12:53,079 Speaker 1: banned from going live on Instagram for three hundred and 225 00:12:53,120 --> 00:12:56,959 Speaker 1: sixty five days right now. But you've you've consecutively been 226 00:12:57,040 --> 00:12:59,439 Speaker 1: banned for three hundred and sixty five now I keep well, 227 00:12:59,440 --> 00:13:02,160 Speaker 1: it keeps, it keeps starting me five days for three 228 00:13:02,240 --> 00:13:04,520 Speaker 1: hundred and sixty five days. Yes, so I can't go 229 00:13:04,600 --> 00:13:08,400 Speaker 1: live like it's just amazing. So that's why, because they're 230 00:13:08,440 --> 00:13:12,400 Speaker 1: cracking down on like any I'm surprised. I won't be 231 00:13:12,520 --> 00:13:15,760 Speaker 1: surprised if it continues this way that any people will 232 00:13:15,760 --> 00:13:18,199 Speaker 1: be able to talk about any true crime stuff at all, 233 00:13:18,240 --> 00:13:21,400 Speaker 1: because they're cracking down on it so hard it's just outrageous. 234 00:13:21,640 --> 00:13:24,560 Speaker 1: So I find the concept of a new serial killer 235 00:13:24,600 --> 00:13:26,760 Speaker 1: to be really fascinating because you just want to think 236 00:13:26,800 --> 00:13:31,600 Speaker 1: today with DNA and forensic advancements and you know, everything 237 00:13:31,640 --> 00:13:33,880 Speaker 1: like that in technology, that it would be really hard 238 00:13:33,880 --> 00:13:35,959 Speaker 1: to be a serial killer. But then when you look 239 00:13:35,960 --> 00:13:38,000 Speaker 1: at the Long Island serial killer and you see how 240 00:13:38,000 --> 00:13:41,439 Speaker 1: he went undetected for so long, it really is interesting 241 00:13:41,440 --> 00:13:44,079 Speaker 1: to look about and to look at and these bodies, 242 00:13:44,600 --> 00:13:48,280 Speaker 1: you know, they were at first seemingly being reported that 243 00:13:48,320 --> 00:13:50,800 Speaker 1: they were all these women were being killed with since 244 00:13:50,840 --> 00:13:53,720 Speaker 1: the beginning of March. But these bodies have been found 245 00:13:53,760 --> 00:13:55,880 Speaker 1: since the beginning of March, and they're in various states 246 00:13:55,880 --> 00:13:59,319 Speaker 1: of decomposition, so you know, some of them have seemed 247 00:13:59,320 --> 00:14:02,280 Speaker 1: to be killed maybe even years ago. Yeah, that doesn't 248 00:14:02,320 --> 00:14:04,240 Speaker 1: we know that that doesn't really matter at the time, 249 00:14:04,800 --> 00:14:07,800 Speaker 1: because sometimes they take breaks for years and then come back. 250 00:14:07,840 --> 00:14:11,400 Speaker 1: But I mean, I don't I don't really so listen, 251 00:14:11,480 --> 00:14:14,319 Speaker 1: you know when COVID was happening, and every day they 252 00:14:14,320 --> 00:14:16,560 Speaker 1: were like they had that ticker with all the people 253 00:14:16,600 --> 00:14:18,280 Speaker 1: that died, and I was just kind of like, this 254 00:14:18,320 --> 00:14:20,640 Speaker 1: is the dumbest shit ever. People die every single day 255 00:14:20,680 --> 00:14:23,040 Speaker 1: all day at the hospital, right, yes, like they just 256 00:14:23,360 --> 00:14:25,680 Speaker 1: they would. They would even in my town, like for 257 00:14:25,840 --> 00:14:28,840 Speaker 1: years after COVID, like it was like twenty twenty two, 258 00:14:28,840 --> 00:14:32,360 Speaker 1: they would be like, oh, two people in Camden County 259 00:14:32,400 --> 00:14:35,360 Speaker 1: died today. Like it was so ridiculous, And people die 260 00:14:35,640 --> 00:14:38,160 Speaker 1: shit every day every day. It was so ridiculous. It 261 00:14:38,760 --> 00:14:41,360 Speaker 1: annoyed the shit out of me. So I'm not you know, 262 00:14:41,400 --> 00:14:43,080 Speaker 1: I don't work for the police, and I don't know 263 00:14:43,120 --> 00:14:45,480 Speaker 1: in a given day how many dead bodies they find 264 00:14:45,520 --> 00:14:49,560 Speaker 1: here and there. But I mean, for sure in Philadelphia 265 00:14:49,720 --> 00:14:53,240 Speaker 1: it was it was often that they would just be like, oh, 266 00:14:53,280 --> 00:14:55,040 Speaker 1: this person was found in the street, or this person 267 00:14:55,120 --> 00:14:57,560 Speaker 1: was found on the river, this, this and this. But 268 00:14:57,560 --> 00:14:59,480 Speaker 1: but like a lot of it is drugs, a lot 269 00:14:59,480 --> 00:15:02,040 Speaker 1: of it's like homelessness. I don't I don't really know 270 00:15:02,120 --> 00:15:05,040 Speaker 1: how many people. And you're and New England is like 271 00:15:05,120 --> 00:15:08,480 Speaker 1: a broad term for like three states, right, like a 272 00:15:08,600 --> 00:15:12,720 Speaker 1: huge frickin' area, So I don't know how many dead 273 00:15:12,760 --> 00:15:16,240 Speaker 1: bodies they find, And this could just totally be like 274 00:15:17,520 --> 00:15:20,680 Speaker 1: not super out of the normal. I don't really know, 275 00:15:21,160 --> 00:15:25,120 Speaker 1: but I mean, like obviously, just based on the three people, 276 00:15:25,160 --> 00:15:27,920 Speaker 1: we see two women that seem to be about in 277 00:15:27,960 --> 00:15:30,680 Speaker 1: their thirties or forties, and then one woman that appears 278 00:15:30,680 --> 00:15:33,440 Speaker 1: to be in her sixties. Like if these if if 279 00:15:33,480 --> 00:15:35,720 Speaker 1: women that are healthy or just go a missing like this, 280 00:15:35,880 --> 00:15:38,400 Speaker 1: then like and then like their dead bodies are being 281 00:15:38,400 --> 00:15:41,720 Speaker 1: found somewhere, and like obviously the medical examiner and the 282 00:15:41,720 --> 00:15:43,880 Speaker 1: cops know so much more about what injuries they had, 283 00:15:44,000 --> 00:15:47,520 Speaker 1: especially they were saying some of them had remains, but 284 00:15:47,600 --> 00:15:49,840 Speaker 1: some of them were like intact bodies. They know how 285 00:15:49,880 --> 00:15:53,520 Speaker 1: these people are getting killed, so so like they're gonna 286 00:15:53,560 --> 00:15:55,840 Speaker 1: see differences and stuff. They're not they're not gonna say 287 00:15:55,840 --> 00:15:59,720 Speaker 1: anything because, like we said, because of the investigation. Yeah, 288 00:15:59,720 --> 00:16:02,560 Speaker 1: I mean, I think everybody has a right to speculate 289 00:16:02,600 --> 00:16:05,120 Speaker 1: and everything. And of course we talk about true crime, 290 00:16:05,160 --> 00:16:08,040 Speaker 1: and it's very fascinating to us, and these stories come 291 00:16:08,120 --> 00:16:10,840 Speaker 1: up and they're fascinating to look at and to see 292 00:16:10,880 --> 00:16:12,680 Speaker 1: in this day and age. But you also have to 293 00:16:12,720 --> 00:16:16,600 Speaker 1: respect the investigators there if there is a real serial 294 00:16:16,680 --> 00:16:18,920 Speaker 1: killer on the luze trying to catch that person to 295 00:16:19,000 --> 00:16:22,000 Speaker 1: save more people's lives. So like, back off and let 296 00:16:22,040 --> 00:16:25,320 Speaker 1: these people please do their jobs the right way and 297 00:16:25,400 --> 00:16:29,360 Speaker 1: stop sensationalizing everything, all right. This next story was what 298 00:16:29,480 --> 00:16:32,720 Speaker 1: I referenced on yesterday's episode about eye for an eye punishment, 299 00:16:32,720 --> 00:16:35,640 Speaker 1: and I really think these terrible people should have to 300 00:16:35,640 --> 00:16:38,760 Speaker 1: go through the same horrific experience they put this child through. 301 00:16:39,240 --> 00:16:41,560 Speaker 1: So last September, this twelve year old was brought to 302 00:16:41,600 --> 00:16:46,040 Speaker 1: the hospital for having uncontrollable seizures. This hospital visit prompted 303 00:16:46,080 --> 00:16:49,360 Speaker 1: an investigation after doctors noticed a child was malnourished and 304 00:16:49,360 --> 00:16:52,560 Speaker 1: covered in bruises and cuts. She also only weighed fifty pounds, 305 00:16:52,560 --> 00:16:56,600 Speaker 1: which is severely underweight for a child that age. So 306 00:16:56,640 --> 00:16:59,920 Speaker 1: the investigation basically revealed this horrific abuse at the hands 307 00:17:00,080 --> 00:17:04,160 Speaker 1: of this child's mother and her grandmother. So, Lillian's twelve 308 00:17:04,240 --> 00:17:09,080 Speaker 1: years old, and she is like see through skinny, right, 309 00:17:10,359 --> 00:17:12,800 Speaker 1: She's like one of the skinniest people that you know 310 00:17:13,160 --> 00:17:18,600 Speaker 1: as a child, right, And she weighs almost one hundred pounds. Yes, 311 00:17:19,000 --> 00:17:22,159 Speaker 1: So I'm like, which I thought was kind of like 312 00:17:22,200 --> 00:17:23,800 Speaker 1: because I was like when I was in fifth grade, 313 00:17:23,840 --> 00:17:27,359 Speaker 1: I was like ninety nine pounds. I remember, it was 314 00:17:27,400 --> 00:17:30,639 Speaker 1: before I went to middle school, for sure. So so 315 00:17:30,800 --> 00:17:34,879 Speaker 1: thinking about a child of my daughter's age being half 316 00:17:34,920 --> 00:17:39,359 Speaker 1: of that weight is disturbing and disgusting to me, unless 317 00:17:39,400 --> 00:17:42,720 Speaker 1: they had an underlying medical condition, of course. But when 318 00:17:42,760 --> 00:17:45,800 Speaker 1: she was brought to the hospital, the mom was saying 319 00:17:46,000 --> 00:17:48,639 Speaker 1: that she had given her fifty milligrams of benadryl and 320 00:17:48,680 --> 00:17:51,520 Speaker 1: sixty milligrams of militony, which is a lot of both 321 00:17:52,520 --> 00:17:56,080 Speaker 1: for fifty pounds. You would think that like twenty five 322 00:17:56,119 --> 00:17:59,160 Speaker 1: milligrams would be a lot on the on the higher end. 323 00:17:59,200 --> 00:18:01,760 Speaker 1: So gave more than a double dose to this kid 324 00:18:02,160 --> 00:18:07,240 Speaker 1: of benadryl and god melatonin. I give the kids two 325 00:18:07,280 --> 00:18:11,320 Speaker 1: point five gram of miltonin like on Sunday nights to 326 00:18:11,359 --> 00:18:14,520 Speaker 1: help them wind down from the weekend sixty milligrams and 327 00:18:14,600 --> 00:18:16,879 Speaker 1: one sitting Like, I wonder why the kid was having 328 00:18:16,920 --> 00:18:20,159 Speaker 1: freaking seizures with all this shit. Plus she was underweight 329 00:18:20,240 --> 00:18:23,360 Speaker 1: and malnourished, and that's nothing compared to what was going 330 00:18:23,440 --> 00:18:26,000 Speaker 1: on in the home. So according to a neighbor, because 331 00:18:26,080 --> 00:18:28,119 Speaker 1: another point we're gonna have to talk about is that 332 00:18:28,200 --> 00:18:30,720 Speaker 1: multiple people knew this abuse was going on and didn't 333 00:18:30,760 --> 00:18:33,199 Speaker 1: do anything about it. So according to a neighbor, the 334 00:18:33,240 --> 00:18:35,840 Speaker 1: girl would be tied up to her bed, quote like 335 00:18:35,960 --> 00:18:38,919 Speaker 1: Jesus on the Cross, where they'd make her, you know, 336 00:18:39,200 --> 00:18:42,280 Speaker 1: go to the bathroom, tied to the bed and eat 337 00:18:42,320 --> 00:18:45,720 Speaker 1: cat food. Yeah, and they had a security camera watching 338 00:18:45,760 --> 00:18:49,800 Speaker 1: over her too, And that is the messed up thing 339 00:18:49,880 --> 00:18:54,040 Speaker 1: is that when they're interviewing witnesses, they're like, yeah, they 340 00:18:54,160 --> 00:18:55,840 Speaker 1: used to feed her cat food and this and that, 341 00:18:55,920 --> 00:18:57,520 Speaker 1: and it's like, well, why the fuck didn't you call 342 00:18:57,560 --> 00:19:01,200 Speaker 1: the police? Then, like they those people should also get arrested. 343 00:19:01,240 --> 00:19:04,560 Speaker 1: I'm serious. And then there was a lot going on though, 344 00:19:04,720 --> 00:19:06,680 Speaker 1: Like the kids showed up at school with a black 345 00:19:06,720 --> 00:19:09,160 Speaker 1: eye and she told the kids she got work hurt 346 00:19:09,280 --> 00:19:11,720 Speaker 1: walking into a wall, and I guess that's a rough 347 00:19:11,760 --> 00:19:15,080 Speaker 1: situation because like everybody that's got kids knows that they 348 00:19:15,359 --> 00:19:18,280 Speaker 1: ball and stuff all the time. So if you're a 349 00:19:18,320 --> 00:19:22,520 Speaker 1: teacher and you have a kid that is walking into 350 00:19:22,560 --> 00:19:25,280 Speaker 1: school with bruises, I mean, I don't know what the 351 00:19:25,359 --> 00:19:30,160 Speaker 1: protocol is there. I think if a kid tells you that, whatever, 352 00:19:30,320 --> 00:19:32,400 Speaker 1: But then it's like I guess they withdrawed the kid 353 00:19:32,440 --> 00:19:36,920 Speaker 1: from school. It's just like apparently the kid. I don't 354 00:19:36,920 --> 00:19:39,080 Speaker 1: know if you read this that the kid had multiple 355 00:19:39,160 --> 00:19:43,399 Speaker 1: broken bones from twenty seventeen, like emergency room visits, like 356 00:19:43,480 --> 00:19:46,840 Speaker 1: that should trigger something right there. Well, that and then 357 00:19:47,000 --> 00:19:50,399 Speaker 1: after the incident where she got the black eye, I 358 00:19:50,440 --> 00:19:52,919 Speaker 1: went to school, the par the mother then pulled her 359 00:19:52,960 --> 00:19:55,359 Speaker 1: out of school. Yeah, so like do you not have 360 00:19:55,440 --> 00:19:57,639 Speaker 1: to be checked up on after something like that? Or 361 00:19:57,880 --> 00:20:01,360 Speaker 1: nobody thought weird, this kid came the school with visible 362 00:20:01,400 --> 00:20:03,920 Speaker 1: bruises and a black eye and that was immediately pulled 363 00:20:03,960 --> 00:20:07,080 Speaker 1: out of the school system. I don't know. I just 364 00:20:07,080 --> 00:20:11,000 Speaker 1: because like if a kid, the kid falls, and like 365 00:20:11,040 --> 00:20:14,879 Speaker 1: if that was a true story and they the homeschooling rules, 366 00:20:14,880 --> 00:20:16,680 Speaker 1: they don't do that, like if you pull the kid 367 00:20:16,680 --> 00:20:19,040 Speaker 1: out of school. I did it with the girls, like 368 00:20:19,080 --> 00:20:22,840 Speaker 1: when they were younger, like Lillian had started kindergarten already, 369 00:20:22,840 --> 00:20:24,560 Speaker 1: and I figured out what to do about it, and 370 00:20:24,560 --> 00:20:26,760 Speaker 1: I just had to write the principal letter and be like, 371 00:20:26,880 --> 00:20:28,840 Speaker 1: as of this day, I'm homeschool with my kid, and 372 00:20:28,880 --> 00:20:31,000 Speaker 1: that was the end of the story. Like, nobody checked 373 00:20:31,040 --> 00:20:33,919 Speaker 1: in on me. Ever, again, they don't know if my kids. 374 00:20:34,040 --> 00:20:37,280 Speaker 1: I mean, that kind of seems like not a good idea, 375 00:20:37,400 --> 00:20:40,240 Speaker 1: But you weren't doing anything wrong. So like if somebody 376 00:20:40,240 --> 00:20:41,879 Speaker 1: did have to check on you every six months, you 377 00:20:41,880 --> 00:20:44,000 Speaker 1: wouldn't have a problem with it, right, But now I 378 00:20:44,000 --> 00:20:45,520 Speaker 1: would have a problem with it. They don't need to 379 00:20:45,560 --> 00:20:48,200 Speaker 1: be checking on me every six months. It's my kids. 380 00:20:48,240 --> 00:20:51,640 Speaker 1: Like I don't know, I'm like a less government involved 381 00:20:51,800 --> 00:20:53,840 Speaker 1: kind of person. I don't think people need to be 382 00:20:54,240 --> 00:20:58,320 Speaker 1: checking on me. But like in an abuse situation, I'm 383 00:20:58,359 --> 00:21:01,159 Speaker 1: not really concerned about the school as much as the 384 00:21:02,160 --> 00:21:04,960 Speaker 1: I believe when you go when children are brought to 385 00:21:05,000 --> 00:21:09,000 Speaker 1: the emergency room and they have fractures, this is something 386 00:21:09,040 --> 00:21:12,359 Speaker 1: that would be considered something that would trigger But I 387 00:21:12,400 --> 00:21:15,680 Speaker 1: guess if you go to multiple urgent cares or hospitals, 388 00:21:15,680 --> 00:21:19,359 Speaker 1: they might not have communicating records that would show that 389 00:21:19,440 --> 00:21:22,800 Speaker 1: the kid was there multiple times for fractures. All right, 390 00:21:22,880 --> 00:21:24,600 Speaker 1: So this is the point I was trying to make 391 00:21:24,680 --> 00:21:27,160 Speaker 1: up though, where it's like they tie this poor little 392 00:21:27,200 --> 00:21:29,320 Speaker 1: girl to this bed, they make her eat catfood, they 393 00:21:29,359 --> 00:21:31,840 Speaker 1: make her go to the bathroom on herself in this bed. 394 00:21:32,560 --> 00:21:36,840 Speaker 1: These people should be set on fire, like, like, I'm serious, 395 00:21:36,960 --> 00:21:39,960 Speaker 1: people that abuse children like this should have the worst 396 00:21:40,000 --> 00:21:42,600 Speaker 1: absolute punishment. You are not going to go to jail 397 00:21:42,640 --> 00:21:45,439 Speaker 1: and be rehabbed for this, You were just going to 398 00:21:45,480 --> 00:21:49,200 Speaker 1: get worse. What is it? Because we talked about this 399 00:21:49,280 --> 00:21:51,720 Speaker 1: with the Ruby frank thing and stuff. It's just very 400 00:21:52,600 --> 00:21:56,160 Speaker 1: interesting to me that grown ups just decide. And this 401 00:21:56,280 --> 00:21:59,760 Speaker 1: is the girl's mother and her grandmother. It's like what 402 00:22:00,160 --> 00:22:03,560 Speaker 1: makes grown ups decide that? And a lot of times 403 00:22:03,600 --> 00:22:05,800 Speaker 1: when there's a couple children living in the house, they 404 00:22:05,840 --> 00:22:10,239 Speaker 1: pick like one kid, like what is that? Well, you know, 405 00:22:10,400 --> 00:22:13,280 Speaker 1: I want to say it rub Frankie. And also like 406 00:22:13,359 --> 00:22:17,840 Speaker 1: Lori Valo, for example, they use their religion as an 407 00:22:17,880 --> 00:22:22,160 Speaker 1: excuse to abuse their children. So in those two cases, 408 00:22:22,560 --> 00:22:25,280 Speaker 1: they try to say that their children are possessed by 409 00:22:25,320 --> 00:22:28,640 Speaker 1: the devil, which goes against their personal beliefs, and then 410 00:22:28,640 --> 00:22:32,120 Speaker 1: they use the religion as an excuse to abuse the children, 411 00:22:32,359 --> 00:22:35,679 Speaker 1: to get the devil out of them, and it's just 412 00:22:35,800 --> 00:22:39,359 Speaker 1: really disgusting behavior. Yeah, but that doesn't appear to be 413 00:22:39,480 --> 00:22:41,840 Speaker 1: what happened in this case and lots of other cases. 414 00:22:41,880 --> 00:22:44,600 Speaker 1: It's just it's just a very weird thing to me 415 00:22:44,720 --> 00:22:48,800 Speaker 1: that you've you know, I think it's normal human nature. 416 00:22:49,680 --> 00:22:51,560 Speaker 1: As we could see, there always has to be like 417 00:22:51,600 --> 00:22:54,119 Speaker 1: a villain and a bad eye in someone's life that 418 00:22:54,160 --> 00:22:56,399 Speaker 1: it just makes people feel better whatever, Like how do 419 00:22:56,440 --> 00:23:00,800 Speaker 1: you how do you look at at a child and 420 00:23:00,880 --> 00:23:03,000 Speaker 1: decide that they're the one you're gonna take all your 421 00:23:03,040 --> 00:23:05,320 Speaker 1: anger out on or to blame for all your problems 422 00:23:05,400 --> 00:23:11,200 Speaker 1: or something. It's just it's just really bizarre and and like, honestly, 423 00:23:11,280 --> 00:23:14,280 Speaker 1: I equally think that the neighbor that's aw this going 424 00:23:14,320 --> 00:23:16,840 Speaker 1: on should should I don't think that she should be 425 00:23:16,880 --> 00:23:19,280 Speaker 1: set on fire like the parents or the grandmom and 426 00:23:19,320 --> 00:23:22,000 Speaker 1: the mom, but she definitely should serve jail time for 427 00:23:22,560 --> 00:23:26,320 Speaker 1: not reporting that, because if you don't report a murder, 428 00:23:26,720 --> 00:23:29,960 Speaker 1: you'll get in trouble. What world do you live in 429 00:23:31,040 --> 00:23:33,360 Speaker 1: like that your neighbor is going to say to you, 430 00:23:33,359 --> 00:23:36,400 Speaker 1: You're like, yeah, my kid's tied up and I'm watching 431 00:23:36,400 --> 00:23:38,480 Speaker 1: her on the camera and she h, you know, I'm 432 00:23:38,520 --> 00:23:43,040 Speaker 1: feeding her cat food? Like what, like how the in 433 00:23:43,160 --> 00:23:45,959 Speaker 1: any way is that something that you hear from someone 434 00:23:46,040 --> 00:23:48,760 Speaker 1: and you're not instantly repulsed and alarmed and want to 435 00:23:48,800 --> 00:23:52,679 Speaker 1: call police. It's just weird, Like where where were they living? 436 00:23:52,760 --> 00:23:59,000 Speaker 1: So I never go there. It's just like so disgusting 437 00:23:59,160 --> 00:24:02,720 Speaker 1: of behavior, Like I can't wrap my head around it. 438 00:24:03,160 --> 00:24:06,760 Speaker 1: And it's like these there's so many instances where child 439 00:24:06,800 --> 00:24:09,160 Speaker 1: are beat by their parents or starve their parents, are 440 00:24:09,359 --> 00:24:12,919 Speaker 1: you know, emotionally abused by their parents. But something about 441 00:24:13,000 --> 00:24:17,119 Speaker 1: tying a child up, feeding them cat food multiple like 442 00:24:17,400 --> 00:24:21,879 Speaker 1: just repeatedly beating them, it's just so disgusting and people, 443 00:24:22,320 --> 00:24:24,600 Speaker 1: it just it has it leaves you with little faith 444 00:24:24,640 --> 00:24:27,400 Speaker 1: in humanity that people like this are able to have children, 445 00:24:27,760 --> 00:24:30,080 Speaker 1: Like it really does. Yeah, it makes me sad too 446 00:24:30,160 --> 00:24:33,679 Speaker 1: because I think about like, like every single meal my 447 00:24:33,760 --> 00:24:37,000 Speaker 1: kids eat lunch or their snacks are a pack and dinner. 448 00:24:37,600 --> 00:24:40,879 Speaker 1: I want them if they don't like something, I'm always 449 00:24:40,960 --> 00:24:43,040 Speaker 1: kind of like, all right, well, like let's try to 450 00:24:43,119 --> 00:24:45,200 Speaker 1: make you something else, or let's see if you could 451 00:24:45,200 --> 00:24:48,720 Speaker 1: try something else, And like it's not fair to kids 452 00:24:48,760 --> 00:24:51,879 Speaker 1: that there's some kids that are my kid's age that 453 00:24:52,080 --> 00:24:55,840 Speaker 1: are being treated and coddled and loved, and then there's 454 00:24:55,920 --> 00:24:58,240 Speaker 1: other kids that are their same age that might be 455 00:24:58,280 --> 00:25:01,080 Speaker 1: classmates or friends of theirs, on their softball team or 456 00:25:01,119 --> 00:25:05,840 Speaker 1: at their school that are being treated this poorly. It 457 00:25:06,480 --> 00:25:09,919 Speaker 1: really breaks your heart that any child has to be 458 00:25:10,040 --> 00:25:13,040 Speaker 1: treated like that. You know, well, we have to applaud 459 00:25:13,080 --> 00:25:16,960 Speaker 1: the doctor for reporting them and getting them investigators. Another 460 00:25:17,000 --> 00:25:20,000 Speaker 1: thing that I want to know is when this was reported. 461 00:25:20,480 --> 00:25:25,560 Speaker 1: And yes, of course, and because that is a lot 462 00:25:25,600 --> 00:25:28,760 Speaker 1: for a doctor, I'm sure because you're looking at this 463 00:25:28,880 --> 00:25:31,320 Speaker 1: and you're like, Okay, this looks really bad, and then 464 00:25:31,359 --> 00:25:33,800 Speaker 1: you look at this little innocent child and you're like no, 465 00:25:33,920 --> 00:25:36,240 Speaker 1: like your mind tells you there's no way that somebody's 466 00:25:36,280 --> 00:25:38,480 Speaker 1: doing this intentionally. There has to be a reason for this, 467 00:25:39,240 --> 00:25:41,840 Speaker 1: and and like if I call, it's going to open 468 00:25:41,880 --> 00:25:44,040 Speaker 1: a whole can of worms, and like it could cause 469 00:25:44,080 --> 00:25:46,960 Speaker 1: problems and this and that. But yes, right thing to do. 470 00:25:47,040 --> 00:25:49,879 Speaker 1: But why did it take from September until this week 471 00:25:49,920 --> 00:25:52,280 Speaker 1: for the parent, for the grandmother and the mother to 472 00:25:52,280 --> 00:25:55,679 Speaker 1: finally get arrested. I don't know. It seems like they 473 00:25:55,680 --> 00:25:58,439 Speaker 1: should have been put in jail that day. Well, it 474 00:25:58,480 --> 00:26:02,280 Speaker 1: seems like the girl was taken immediately after the hospital 475 00:26:02,359 --> 00:26:05,159 Speaker 1: visit and was in custody with the state at that 476 00:26:05,240 --> 00:26:08,399 Speaker 1: time while the investigation was happening. But I agree, seven 477 00:26:08,440 --> 00:26:12,159 Speaker 1: months is absolutely ridiculous for them to get arrested. But 478 00:26:12,200 --> 00:26:14,160 Speaker 1: at least they have been arrested and they're in jail. 479 00:26:14,200 --> 00:26:17,760 Speaker 1: But you know, a bond's been said. Why, Like, I 480 00:26:18,480 --> 00:26:22,120 Speaker 1: don't think these people deserve at all to get out now. 481 00:26:22,160 --> 00:26:32,359 Speaker 1: This is death penalty worthy to me. This episode is 482 00:26:32,400 --> 00:26:34,840 Speaker 1: brought to you by The GROSSERU. Guys, we are going 483 00:26:34,880 --> 00:26:38,240 Speaker 1: to be doing in the upcoming weeks an extensive high 484 00:26:38,320 --> 00:26:43,680 Speaker 1: profile death disseection on physician assistant suicides. Last week or 485 00:26:43,800 --> 00:26:45,879 Speaker 1: in the beginning of this week, I should say, we 486 00:26:45,960 --> 00:26:49,080 Speaker 1: did one on Virginia je Free And we are always 487 00:26:49,119 --> 00:26:53,480 Speaker 1: doing the latest and breaking news with celebrities and high 488 00:26:53,480 --> 00:26:57,480 Speaker 1: profile deaths. So we have god over probably over two 489 00:26:57,600 --> 00:26:59,520 Speaker 1: hundred of them at this point on the website if 490 00:26:59,520 --> 00:27:01,520 Speaker 1: you ever want to scroll back and look at ones 491 00:27:01,560 --> 00:27:04,399 Speaker 1: that have already happened, and we keep up with it 492 00:27:04,440 --> 00:27:09,040 Speaker 1: every week and also some really crazy videos as usual 493 00:27:09,080 --> 00:27:11,840 Speaker 1: in the grocer room. Yeah, head over to the grocerroom 494 00:27:11,880 --> 00:27:16,640 Speaker 1: dot com. Now to sign up. All right, here's another 495 00:27:17,160 --> 00:27:21,320 Speaker 1: fricking creep This scares me. In the UK, this twenty 496 00:27:21,359 --> 00:27:24,600 Speaker 1: two year old guy had been stalking several women, specifically 497 00:27:24,600 --> 00:27:27,320 Speaker 1: when they were taking their children to school from their homes, 498 00:27:27,800 --> 00:27:30,159 Speaker 1: and in one case, he took a syringe filled with 499 00:27:30,240 --> 00:27:33,359 Speaker 1: his semen and sprayed one of the victims with it. Yeah, 500 00:27:33,960 --> 00:27:37,280 Speaker 1: real cute, right he So he was putting on this 501 00:27:37,400 --> 00:27:39,760 Speaker 1: red hoodie every day and then he would put a 502 00:27:39,840 --> 00:27:41,960 Speaker 1: mask on, and then he would put on a trench 503 00:27:42,000 --> 00:27:44,880 Speaker 1: coat and he would stalk these women and follow them. 504 00:27:45,240 --> 00:27:49,000 Speaker 1: And then creepster went home and wrote about it in 505 00:27:49,080 --> 00:27:52,399 Speaker 1: his diary and made notes and put plans as what 506 00:27:52,480 --> 00:27:55,200 Speaker 1: he wanted to do with the women to sexually assault them. 507 00:27:55,359 --> 00:27:59,639 Speaker 1: He also assigned them nicknames. One woman did realize he 508 00:27:59,680 --> 00:28:02,040 Speaker 1: was follow her and got so scared that she stopped 509 00:28:02,040 --> 00:28:05,280 Speaker 1: taking her kid to school because she feared for their safety. 510 00:28:05,320 --> 00:28:08,040 Speaker 1: He was wearing the same outfit every day. And I'm sorry, 511 00:28:08,040 --> 00:28:10,840 Speaker 1: but anyone that wears a trench coat is a freaking weirdo. 512 00:28:11,560 --> 00:28:14,800 Speaker 1: That's like, that's like fashionable right now, No they're not, 513 00:28:14,920 --> 00:28:18,520 Speaker 1: but they're just not. I'm sorry. So like you're automatically 514 00:28:18,880 --> 00:28:22,200 Speaker 1: you're automatically triggering me if I see you wearing a 515 00:28:22,240 --> 00:28:24,879 Speaker 1: trench coat. But go ahead, all right. So anyway, he 516 00:28:25,040 --> 00:28:27,560 Speaker 1: was caught after one of the women reported him to 517 00:28:27,600 --> 00:28:30,119 Speaker 1: police after she realized he had been following her for 518 00:28:30,160 --> 00:28:33,240 Speaker 1: a while, so he ended up getting arrested that day. 519 00:28:33,640 --> 00:28:36,960 Speaker 1: He pleaded guilty to four counts of stalking, sexual assault 520 00:28:37,000 --> 00:28:40,000 Speaker 1: by spraying the woman with the seamen filled syringe, and 521 00:28:40,120 --> 00:28:43,400 Speaker 1: possession of indecent images of a woman engaging in sexual 522 00:28:43,440 --> 00:28:46,040 Speaker 1: acts with a dalmatian and a horse that they founded 523 00:28:46,080 --> 00:28:49,400 Speaker 1: his house later that day. That I know, it's so 524 00:28:49,600 --> 00:28:53,440 Speaker 1: gross and that video like actually we wrote a whole 525 00:28:53,560 --> 00:28:56,400 Speaker 1: entire high profile that the section on Beast Reality two, 526 00:28:56,440 --> 00:28:59,840 Speaker 1: which is you know what it, I warn you if 527 00:28:59,880 --> 00:29:01,720 Speaker 1: you want to read it, because there's some things you 528 00:29:01,760 --> 00:29:05,960 Speaker 1: could just never unread. And knowing that people do this 529 00:29:06,240 --> 00:29:09,520 Speaker 1: and I mean this is not like an AI thing, 530 00:29:09,600 --> 00:29:12,719 Speaker 1: like people are literally having sex with the animals and 531 00:29:12,760 --> 00:29:15,920 Speaker 1: recording it and people are then getting off on it. 532 00:29:15,920 --> 00:29:20,800 Speaker 1: It's I'm personally traumatized from that right up about the 533 00:29:20,880 --> 00:29:23,720 Speaker 1: guy from Jerry Springer seeing the extended version of him 534 00:29:23,720 --> 00:29:27,880 Speaker 1: talking about putting panties on his horse wife. But anyway, 535 00:29:27,920 --> 00:29:30,360 Speaker 1: I'm more surprised that he was with a female horse 536 00:29:30,400 --> 00:29:32,640 Speaker 1: because usually when you see a dude screw a horse, 537 00:29:32,680 --> 00:29:36,240 Speaker 1: it's it's a male horse screwing the guy, which I don't. 538 00:29:36,520 --> 00:29:38,960 Speaker 1: I just want to know how you physically pull that off, 539 00:29:39,040 --> 00:29:41,880 Speaker 1: because I don't. I just trying to figure it out. 540 00:29:41,920 --> 00:29:44,600 Speaker 1: I don't understand how you feel. But whatever, I don't 541 00:29:44,640 --> 00:29:46,480 Speaker 1: think I need to look that stuff up. Ever. Again, 542 00:29:46,560 --> 00:29:48,720 Speaker 1: I saw quite enough when weird doing research for that. 543 00:29:49,240 --> 00:29:52,680 Speaker 1: But this stalker was at in sad three years and 544 00:29:52,800 --> 00:29:55,640 Speaker 1: four months. This is a major problem. That is not 545 00:29:55,880 --> 00:29:58,680 Speaker 1: enough time, and he's not going to stop doing this 546 00:29:58,760 --> 00:30:01,800 Speaker 1: and these women are going to be probably living this 547 00:30:01,880 --> 00:30:03,840 Speaker 1: all over again in a couple of years. All right, 548 00:30:03,880 --> 00:30:06,880 Speaker 1: So here's an interesting part of this story. So apparently 549 00:30:07,440 --> 00:30:10,880 Speaker 1: they gave him a psychological report and described him as 550 00:30:10,920 --> 00:30:16,280 Speaker 1: having low intellectual ability and highlighted that he had autism 551 00:30:16,320 --> 00:30:21,200 Speaker 1: traits which resulted in him becoming fixated. Well, is that 552 00:30:21,200 --> 00:30:22,880 Speaker 1: what happened? Is that what they're trying to say happen 553 00:30:23,080 --> 00:30:25,400 Speaker 1: with Brian Coberger because like, it doesn't matter, he still 554 00:30:25,440 --> 00:30:28,880 Speaker 1: committed a crime. I understand that. I understand that I 555 00:30:28,920 --> 00:30:32,880 Speaker 1: do understand that, but like, let's say a person, let's 556 00:30:32,880 --> 00:30:35,200 Speaker 1: say a person like this had down syndrome, would you 557 00:30:35,200 --> 00:30:40,560 Speaker 1: feel differently about that, because like, there's different it's it's different, 558 00:30:40,640 --> 00:30:44,920 Speaker 1: but there's there's all different levels of autism with with 559 00:30:45,000 --> 00:30:48,080 Speaker 1: the intellectual ability. I'm just I'm just saying, like, I 560 00:30:48,120 --> 00:30:51,440 Speaker 1: don't I wouldn't exactly say that. This is with Brian Coberger, 561 00:30:51,520 --> 00:30:54,800 Speaker 1: because with Brian Coberger, no one ever heard of the 562 00:30:54,880 --> 00:30:57,280 Speaker 1: dude having an autism until he murdered people and then 563 00:30:57,320 --> 00:30:59,240 Speaker 1: he was like, hey, let me try this loophole, Like 564 00:30:59,280 --> 00:31:02,240 Speaker 1: that's bullshit. Okay, Well, if this is legitimately the problem 565 00:31:02,280 --> 00:31:05,080 Speaker 1: in this case, maybe he doesn't go to jail, but like, 566 00:31:05,120 --> 00:31:07,479 Speaker 1: if he's no, he needs to get some of these crimes. 567 00:31:07,520 --> 00:31:10,040 Speaker 1: He needs to get some form of treatment, because going 568 00:31:10,080 --> 00:31:13,920 Speaker 1: to jail for a couple of years is I'll never forget. 569 00:31:14,000 --> 00:31:16,040 Speaker 1: When we did the interview with doctor Dass and he 570 00:31:16,160 --> 00:31:18,240 Speaker 1: was saying that most of the time in his book, 571 00:31:18,280 --> 00:31:22,600 Speaker 1: he was saying most of the time that when these people, 572 00:31:22,720 --> 00:31:25,360 Speaker 1: like sexual predators for example, are put in jail, it 573 00:31:25,440 --> 00:31:30,160 Speaker 1: only makes their infatuation grow. It does not rehabilitate them. 574 00:31:30,560 --> 00:31:33,800 Speaker 1: It makes it worse. So like I see this as, 575 00:31:33,920 --> 00:31:36,280 Speaker 1: let's say I'm one of these victims of this stalker, 576 00:31:36,680 --> 00:31:39,920 Speaker 1: I'm gonna be scared. It's like, you have four years 577 00:31:39,960 --> 00:31:42,120 Speaker 1: of freedom and then this guy's gonna get back out 578 00:31:42,160 --> 00:31:46,200 Speaker 1: and probably start following you again. It's I mean, he 579 00:31:46,280 --> 00:31:50,040 Speaker 1: has he has an obsession with it, and it's it's 580 00:31:50,080 --> 00:31:54,400 Speaker 1: creepy and like, was he ever really going to sexually assault? 581 00:31:54,400 --> 00:31:56,280 Speaker 1: I mean he kind of did with the semen thing 582 00:31:56,400 --> 00:31:58,440 Speaker 1: for sure, but like, was he ever going to do 583 00:31:58,520 --> 00:32:01,040 Speaker 1: all the stuff that he wrote down? Like who knows? Yes, 584 00:32:01,160 --> 00:32:03,680 Speaker 1: because most of the times these people start off doing 585 00:32:03,720 --> 00:32:06,600 Speaker 1: little things and then they escalate. Yeah, but that doesn't 586 00:32:06,640 --> 00:32:09,160 Speaker 1: mean that they're that they're one hundred percent going to 587 00:32:09,160 --> 00:32:13,240 Speaker 1: do it. Another crazy part of this story is that 588 00:32:13,280 --> 00:32:17,320 Speaker 1: he had an online girlfriend in the United States that 589 00:32:17,360 --> 00:32:19,760 Speaker 1: he never met. Could you do you know how many 590 00:32:19,800 --> 00:32:22,840 Speaker 1: times I've heard of people dating people on these like 591 00:32:23,480 --> 00:32:26,000 Speaker 1: whatever it is, match dot Com that's probably not even 592 00:32:26,040 --> 00:32:29,240 Speaker 1: a thing anymore, but one of those like dating websites 593 00:32:29,320 --> 00:32:32,840 Speaker 1: or whatever, and they live in another city or another 594 00:32:32,880 --> 00:32:35,440 Speaker 1: state or another country, and you just like really have 595 00:32:35,480 --> 00:32:38,280 Speaker 1: no idea who the person is. So there's someone in 596 00:32:38,360 --> 00:32:42,480 Speaker 1: America right now that's been dating this guy online. Well yeah, 597 00:32:42,520 --> 00:32:44,160 Speaker 1: and they're like, well, we put him on the Sex 598 00:32:44,600 --> 00:32:46,959 Speaker 1: A Sex Offenders Register for seven years and given them 599 00:32:46,960 --> 00:32:49,560 Speaker 1: a ten year restraining order. A restraining order is a 600 00:32:49,560 --> 00:32:51,960 Speaker 1: piece of paper, and people violate them all the time. 601 00:32:52,320 --> 00:32:56,719 Speaker 1: Imagine beating a guy when you're thirty and just being like, hey, 602 00:32:56,840 --> 00:32:59,360 Speaker 1: what's up, and like not really knowing, and then finding 603 00:32:59,400 --> 00:33:02,160 Speaker 1: out like, oh, yeah, he used to follow women around 604 00:33:02,480 --> 00:33:05,080 Speaker 1: and throw a semen on them, Like you wouldn't even 605 00:33:05,080 --> 00:33:06,560 Speaker 1: know about it because he wouldn't even be on the 606 00:33:06,560 --> 00:33:10,000 Speaker 1: list anymore. There's this episode of thirty Rock where Tina 607 00:33:10,040 --> 00:33:13,320 Speaker 1: Fey is going out with this actor. He's on a 608 00:33:13,320 --> 00:33:16,280 Speaker 1: bunch of commercials right now. Anyway, she's going out with them, 609 00:33:16,760 --> 00:33:19,120 Speaker 1: and then she comes home one day and she's watching 610 00:33:19,160 --> 00:33:21,320 Speaker 1: to Catch a Predator and he comes on to catch 611 00:33:21,320 --> 00:33:27,000 Speaker 1: a predator. I always, you know what's crazy. I always 612 00:33:27,040 --> 00:33:31,080 Speaker 1: see these articles online that'll be like Camden County man 613 00:33:31,360 --> 00:33:34,160 Speaker 1: caught with child pornography or something, And there was just 614 00:33:34,200 --> 00:33:37,280 Speaker 1: one in Morristown recently, and I'm just like, you know 615 00:33:37,360 --> 00:33:40,000 Speaker 1: what if I, like, I swear to God one day, 616 00:33:40,040 --> 00:33:42,480 Speaker 1: it's going to be somebody that you know, and obviously 617 00:33:42,840 --> 00:33:45,120 Speaker 1: people know these people, and you're just like, what do 618 00:33:45,160 --> 00:33:47,160 Speaker 1: you even feel like when you see that? It's just 619 00:33:47,200 --> 00:33:49,400 Speaker 1: so nuts, like somebody that you know that lives in 620 00:33:49,440 --> 00:33:53,320 Speaker 1: your neighborhood or something, or well, I have that story 621 00:33:53,320 --> 00:33:55,160 Speaker 1: about I don't know if I'm gonna share that one. 622 00:33:56,800 --> 00:34:00,840 Speaker 1: All right, maybe we should move on to the Southwest Pooper. Yeah, so, 623 00:34:01,120 --> 00:34:03,560 Speaker 1: I mean this is not really a story. Of course, 624 00:34:03,600 --> 00:34:08,439 Speaker 1: it originated in Philadelphia. The woman might possibly be one 625 00:34:08,480 --> 00:34:11,239 Speaker 1: of my neighbors who just decided to get naked and 626 00:34:11,280 --> 00:34:15,320 Speaker 1: take a shit on the seat in the airplane. I yeah, 627 00:34:15,560 --> 00:34:18,520 Speaker 1: my first thought was, of course, the flight started in Philadelphia, 628 00:34:18,640 --> 00:34:23,200 Speaker 1: was heading to Chicago, and as the flight started landing, 629 00:34:23,280 --> 00:34:26,120 Speaker 1: this woman just completely gets naked and then takes a 630 00:34:26,160 --> 00:34:28,840 Speaker 1: shit on her seat. It doesn't seem like it was 631 00:34:29,560 --> 00:34:33,120 Speaker 1: like a colon blow diarrhea situation where if she could 632 00:34:33,120 --> 00:34:35,440 Speaker 1: not make it to the bathroom in time. It seems 633 00:34:35,480 --> 00:34:38,560 Speaker 1: like it was an intentional I was wondering if it 634 00:34:38,560 --> 00:34:40,919 Speaker 1: was a coal and blow situation, because of like, if 635 00:34:40,920 --> 00:34:42,879 Speaker 1: you have colon blow, you tend to get really hot 636 00:34:42,920 --> 00:34:45,799 Speaker 1: and sweaty. Now that would explain the kid. You would 637 00:34:45,800 --> 00:34:48,080 Speaker 1: never take off your clothes in front of somebody. Obvious 638 00:34:48,080 --> 00:34:52,400 Speaker 1: it was a true diarrhea story. Obviously, I was gonna say, 639 00:34:52,520 --> 00:34:54,720 Speaker 1: at least she waited until the end of the flight 640 00:34:55,000 --> 00:34:57,440 Speaker 1: to do dude, what would you do? Like I just 641 00:34:57,560 --> 00:35:00,000 Speaker 1: keep trying to put myself at the window seat and 642 00:35:00,040 --> 00:35:02,400 Speaker 1: thinking about the person sitting in the middle between me 643 00:35:02,480 --> 00:35:05,799 Speaker 1: and another person just getting up and like pulling down 644 00:35:05,840 --> 00:35:08,759 Speaker 1: their pants and just pooping like right in front of me. 645 00:35:08,920 --> 00:35:11,560 Speaker 1: Like I just don't somebody had to be on this 646 00:35:11,600 --> 00:35:14,239 Speaker 1: plane and witness this, and we need to know the details. 647 00:35:14,480 --> 00:35:17,320 Speaker 1: I was wondering, like if somebody next to you starts 648 00:35:17,320 --> 00:35:19,920 Speaker 1: taking all their clothes off and you're like okay, maybe 649 00:35:19,920 --> 00:35:22,560 Speaker 1: you're just like okay, they're taking their hoodie off, and 650 00:35:22,600 --> 00:35:24,879 Speaker 1: then like the bra comes off the panticot, Like could 651 00:35:24,920 --> 00:35:27,120 Speaker 1: you stop them or is that considered assault if you 652 00:35:27,160 --> 00:35:29,160 Speaker 1: touch them? And you're trying to be like, no, you can't, 653 00:35:29,239 --> 00:35:34,360 Speaker 1: you can't, Okay, I mean the flight attendant should. But 654 00:35:35,280 --> 00:35:38,279 Speaker 1: you know, it's funny because Lucea was like, I might 655 00:35:38,320 --> 00:35:39,920 Speaker 1: want to be a flight attention. She was asking me 656 00:35:39,960 --> 00:35:42,319 Speaker 1: all these questions the other day, and I was she 657 00:35:42,440 --> 00:35:44,520 Speaker 1: said something about the training and this and that and 658 00:35:44,560 --> 00:35:47,080 Speaker 1: I was telling her all the possible situations, and I 659 00:35:47,120 --> 00:35:49,919 Speaker 1: was just like, dude, flight attendants deal with a lot 660 00:35:49,960 --> 00:35:55,160 Speaker 1: of shit just between truly the plane, the plane between 661 00:35:55,239 --> 00:35:58,080 Speaker 1: just like the plane itself having issues and then you 662 00:35:58,120 --> 00:36:03,239 Speaker 1: have to deal with passengers and they're crazy stuff. It's 663 00:36:03,360 --> 00:36:06,560 Speaker 1: just you know, like what if it was the best? 664 00:36:06,840 --> 00:36:09,839 Speaker 1: So from Chicago and Philly is like two hours probably right, 665 00:36:09,880 --> 00:36:13,719 Speaker 1: and I yeah it's short, but like if like what 666 00:36:13,760 --> 00:36:16,200 Speaker 1: do you do? Like, what do you do? What if 667 00:36:16,239 --> 00:36:18,840 Speaker 1: it's a full flight? What do you do? Like you 668 00:36:19,080 --> 00:36:22,359 Speaker 1: you're stuck, You're trapped on this plane. Like I raise 669 00:36:22,400 --> 00:36:25,600 Speaker 1: my hand and say, Hi, can you take care of 670 00:36:25,640 --> 00:36:28,400 Speaker 1: this mess next to me? Because this lady is literally 671 00:36:28,440 --> 00:36:30,400 Speaker 1: shitting and I have to smell her shit next to me? 672 00:36:31,000 --> 00:36:32,400 Speaker 1: Or what if it was like next to one of 673 00:36:32,400 --> 00:36:34,600 Speaker 1: my kids or something, you know what I mean? Well, 674 00:36:34,640 --> 00:36:37,560 Speaker 1: I say, what are they gonna do? At first, I 675 00:36:37,640 --> 00:36:40,040 Speaker 1: was thinking it was quite courteous that she waited till 676 00:36:40,080 --> 00:36:42,279 Speaker 1: the end of the flight to do this act. But 677 00:36:42,719 --> 00:36:45,040 Speaker 1: then when I started thinking about it, when the plane 678 00:36:45,120 --> 00:36:47,759 Speaker 1: is landing, you're not allowed to get up like at all, 679 00:36:48,480 --> 00:36:50,960 Speaker 1: so you're actually trapped there worse than if you were 680 00:36:50,960 --> 00:36:53,440 Speaker 1: a midflight, because at least midflight you could get up 681 00:36:53,440 --> 00:36:56,120 Speaker 1: and walk her ound go somewhere else. But when the 682 00:36:56,120 --> 00:36:59,279 Speaker 1: plane is landing, you're not really advised to move because 683 00:36:59,320 --> 00:37:01,640 Speaker 1: you could fall down because of the angle the plane 684 00:37:01,680 --> 00:37:04,520 Speaker 1: is landing. Yeah, so you're like really trapped there while 685 00:37:04,560 --> 00:37:07,640 Speaker 1: this is happening. And are there any health risks with this? 686 00:37:07,760 --> 00:37:10,000 Speaker 1: If somebody's like taking a shit next to you and 687 00:37:10,040 --> 00:37:12,760 Speaker 1: you're like right there next to it, or just really 688 00:37:12,960 --> 00:37:16,480 Speaker 1: if you're not touching it, it smells, what if it 689 00:37:16,640 --> 00:37:19,879 Speaker 1: was explosive diarrhea, and it will if it went all 690 00:37:19,880 --> 00:37:23,319 Speaker 1: over you, there can be definite they're definitely risk with 691 00:37:23,480 --> 00:37:28,800 Speaker 1: the parasites and bacterial infections and viral infections. I mean listen, 692 00:37:28,880 --> 00:37:32,640 Speaker 1: like as we know from last week from whatever the 693 00:37:32,640 --> 00:37:34,719 Speaker 1: hell happened to me on the night of Easter, Like 694 00:37:35,960 --> 00:37:39,359 Speaker 1: it can pour out of you without like much control, right. 695 00:37:39,760 --> 00:37:43,399 Speaker 1: But but like there's a big difference between somebody that's 696 00:37:43,440 --> 00:37:48,400 Speaker 1: like having an accident versus like an actual like intentional 697 00:37:48,680 --> 00:37:52,120 Speaker 1: which I don't think it's an accident if you it's not, 698 00:37:53,160 --> 00:37:56,520 Speaker 1: and it's it's some kind of mental health breakdown whatever, 699 00:37:56,719 --> 00:38:00,839 Speaker 1: it's just I mean, every regular person or ninety nine 700 00:38:00,880 --> 00:38:03,400 Speaker 1: percent of the other regular people sitting on the flight, Like, 701 00:38:03,480 --> 00:38:07,280 Speaker 1: what what is that? Like? I don't know, this sounds 702 00:38:07,320 --> 00:38:11,279 Speaker 1: like worsh night wherever. Right, I let's wrap up with 703 00:38:11,320 --> 00:38:15,200 Speaker 1: the history of candy cigarettes. This one I thought would 704 00:38:15,239 --> 00:38:17,239 Speaker 1: be fun to just throw in for the end of 705 00:38:17,280 --> 00:38:21,760 Speaker 1: today's episode. I came across this article that was written 706 00:38:21,800 --> 00:38:26,040 Speaker 1: at just about candy cigarettes and how they first started 707 00:38:26,640 --> 00:38:30,360 Speaker 1: in the nineteenth the late nineteenth century, Hershey's Chocolate started 708 00:38:30,360 --> 00:38:34,759 Speaker 1: making molded cigarettes and stuff, and it's just so outrageous 709 00:38:34,800 --> 00:38:40,080 Speaker 1: how things have changed that they used to specifically make 710 00:38:40,200 --> 00:38:42,640 Speaker 1: this candy to look like cigarettes. And I don't know 711 00:38:42,800 --> 00:38:46,520 Speaker 1: if you remember, because I don't think I've seen them. 712 00:38:46,800 --> 00:38:50,120 Speaker 1: They have bubble gum that's the shape of a cigarette, 713 00:38:50,160 --> 00:38:52,080 Speaker 1: and it's wrapped in white paper so it looks like 714 00:38:52,120 --> 00:38:54,520 Speaker 1: a cigarette. And then if you blow on it, like 715 00:38:54,760 --> 00:38:59,239 Speaker 1: smoke from around the bubble gum comes out. You did 716 00:38:59,239 --> 00:39:03,000 Speaker 1: they have that one when you were younger. I personally 717 00:39:03,040 --> 00:39:06,480 Speaker 1: love candy cigarettes, like the chalky white Well that's the 718 00:39:06,520 --> 00:39:09,520 Speaker 1: problem because people, I don't know that necessarily kids want 719 00:39:09,560 --> 00:39:11,960 Speaker 1: them because they look like they're smoking. But like candy 720 00:39:12,000 --> 00:39:14,799 Speaker 1: cigarettes are, don't They're probably made of the same thing, 721 00:39:14,960 --> 00:39:19,840 Speaker 1: like a what's it called the dip the dip one, Oh, 722 00:39:19,920 --> 00:39:23,879 Speaker 1: the fund dip fun dip. Yeah, that stick is so good. Okay, yeah, 723 00:39:23,920 --> 00:39:26,440 Speaker 1: it is very similar to that. I every time we're 724 00:39:26,480 --> 00:39:28,799 Speaker 1: at a candy store, I see them for sale, like 725 00:39:28,920 --> 00:39:31,080 Speaker 1: you know, a lot of when do you go to 726 00:39:31,080 --> 00:39:34,040 Speaker 1: like touristy stuff, A lot of like old tivy like 727 00:39:34,160 --> 00:39:36,440 Speaker 1: general stores will have them for sale, and I always 728 00:39:36,440 --> 00:39:38,680 Speaker 1: buy them because I think they're delicious. But a couple 729 00:39:38,719 --> 00:39:41,280 Speaker 1: of times I have bought the bubble gup ones by accident, 730 00:39:41,280 --> 00:39:43,719 Speaker 1: which I find incredibly repulsive. The gum is not good. 731 00:39:43,800 --> 00:39:45,920 Speaker 1: It's the worst gum, and they're covered in that weird 732 00:39:45,960 --> 00:39:48,720 Speaker 1: chalky substance. So when you blow on the paper at first, 733 00:39:48,719 --> 00:39:50,640 Speaker 1: it looks like a puff of smoke comes out, which 734 00:39:50,920 --> 00:39:54,080 Speaker 1: is really fucked up considering that mostly children are eating 735 00:39:54,120 --> 00:39:58,239 Speaker 1: this candy. Well, it's it's really messed up because they 736 00:39:58,239 --> 00:40:01,400 Speaker 1: would target that adds to the kids and put like 737 00:40:01,800 --> 00:40:04,600 Speaker 1: just like dad on the box, and they would put 738 00:40:04,680 --> 00:40:08,319 Speaker 1: toys inside, and they put them in vending machines. So 739 00:40:08,360 --> 00:40:10,600 Speaker 1: you probably don't remember this either, but when I was 740 00:40:10,640 --> 00:40:12,920 Speaker 1: a kid, like at friendlies or something, in the lobby. 741 00:40:12,960 --> 00:40:16,319 Speaker 1: They had like vending machines that had cigarettes gabes like, yeah, 742 00:40:16,320 --> 00:40:21,319 Speaker 1: I used to get them for my mom all the time. Machines. Yeah, 743 00:40:21,360 --> 00:40:23,880 Speaker 1: so it was like that, but they put the kids 744 00:40:24,040 --> 00:40:27,200 Speaker 1: ones in there. So the reason that this was interesting 745 00:40:27,360 --> 00:40:31,160 Speaker 1: was because first there was a paper published in Pediatric 746 00:40:31,239 --> 00:40:35,400 Speaker 1: Journal in nineteen ninety two suggesting that these candies could 747 00:40:35,600 --> 00:40:40,440 Speaker 1: play a role in kids finding cigarettes smoking acceptable right, 748 00:40:41,200 --> 00:40:44,200 Speaker 1: and then it changed to British Medical Journal in two 749 00:40:44,280 --> 00:40:49,600 Speaker 1: thousand said that this that people who smoke were likely 750 00:40:49,800 --> 00:40:52,880 Speaker 1: using these cigarettes as a kid and it was likely 751 00:40:52,920 --> 00:40:57,359 Speaker 1: promoting the tobacco habit in children. But then in two 752 00:40:57,440 --> 00:41:02,240 Speaker 1: thousand and seven they finally survey twenty five thousand adults 753 00:41:02,280 --> 00:41:05,640 Speaker 1: who were either current smokers or former smokers, and eighty 754 00:41:05,680 --> 00:41:08,760 Speaker 1: eight percent of them said that they had heavy candy 755 00:41:08,800 --> 00:41:12,839 Speaker 1: cigarette use as a kid. It's kind about regious, right, 756 00:41:12,880 --> 00:41:15,480 Speaker 1: But how many of those people that had the candy 757 00:41:15,520 --> 00:41:18,440 Speaker 1: cigarettes also grew up in a house with non smokers. 758 00:41:18,480 --> 00:41:21,319 Speaker 1: Think about that, because like my husband grew up in 759 00:41:21,360 --> 00:41:24,239 Speaker 1: a house with smokers and he eventually smoked because he 760 00:41:24,280 --> 00:41:27,440 Speaker 1: grew up in that environment. That's bullshit, because my husband 761 00:41:27,440 --> 00:41:30,960 Speaker 1: grew up I'm not saying everybody, but I'm saying, like 762 00:41:31,040 --> 00:41:33,480 Speaker 1: he also had candy cigarettes. I grew up in a 763 00:41:33,520 --> 00:41:36,560 Speaker 1: house with non smokers, and I heavily indulged, still to 764 00:41:36,600 --> 00:41:39,440 Speaker 1: this day, candy cigarettes. And I've never felt the need too. 765 00:41:39,560 --> 00:41:42,600 Speaker 1: I never that's the thing, like candy cigarettes were like 766 00:41:42,680 --> 00:41:44,560 Speaker 1: the thing at the candy stand, and like I said, 767 00:41:44,600 --> 00:41:46,920 Speaker 1: like I don't even think about it, like if the 768 00:41:47,000 --> 00:41:48,879 Speaker 1: kids ever want to get them, I'm like, I don't 769 00:41:48,920 --> 00:41:51,359 Speaker 1: care whatever. I've actually smoked three cigarettes of my life, 770 00:41:51,400 --> 00:41:53,200 Speaker 1: and I threw up every time I did, and it 771 00:41:53,320 --> 00:41:55,920 Speaker 1: was in my early twenties when I was really drunk 772 00:41:55,920 --> 00:41:58,719 Speaker 1: every time. So and I never had a cigarette, like 773 00:41:58,719 --> 00:42:01,760 Speaker 1: I don't. I have no interest. That is all dependent 774 00:42:01,800 --> 00:42:03,920 Speaker 1: because like you were saying, like Ricky smoked because he 775 00:42:04,000 --> 00:42:07,360 Speaker 1: was around smoke, my husband like hates he has a 776 00:42:07,520 --> 00:42:12,759 Speaker 1: specific like very very disdained for cigarette smokers and he 777 00:42:12,800 --> 00:42:15,440 Speaker 1: gets enraged by them because his mom smoked in the 778 00:42:15,480 --> 00:42:18,440 Speaker 1: house and like never ever would try it and doesn't 779 00:42:18,440 --> 00:42:20,640 Speaker 1: ever even want to be around it. I feel like 780 00:42:20,680 --> 00:42:24,000 Speaker 1: it could go, it could go like either way or something. 781 00:42:24,040 --> 00:42:26,000 Speaker 1: I don't know, That's what I'm saying. I think you're 782 00:42:26,000 --> 00:42:29,680 Speaker 1: either like really attracted to it or you are You're 783 00:42:29,840 --> 00:42:31,919 Speaker 1: truly both sides of the spectrum. I don't think people 784 00:42:31,960 --> 00:42:34,880 Speaker 1: are necessarily in between. Yeah, I think it's weird. I 785 00:42:34,880 --> 00:42:39,000 Speaker 1: think it's weirder when people start smoking when they come 786 00:42:39,040 --> 00:42:42,560 Speaker 1: from an environment where nobody around them, no family members 787 00:42:42,640 --> 00:42:45,319 Speaker 1: or anybody around them is smoked, because like, how do 788 00:42:45,400 --> 00:42:49,360 Speaker 1: you start picking it up? Well, it's it's I'm I 789 00:42:49,400 --> 00:42:51,840 Speaker 1: mean listen, Like I think it's an addiction, like like 790 00:42:51,920 --> 00:42:56,080 Speaker 1: anything else. So it's just if people people start it, 791 00:42:56,160 --> 00:42:59,080 Speaker 1: they try it with their friends. Maybe a lot of times, 792 00:42:59,080 --> 00:43:04,080 Speaker 1: it's like people start doing like they start doing it 793 00:43:04,120 --> 00:43:06,160 Speaker 1: when they're working in an environment where a lot of 794 00:43:06,160 --> 00:43:08,160 Speaker 1: people smoke. Like if you ever notice, like if you 795 00:43:08,160 --> 00:43:10,279 Speaker 1: go to a car dealership, like all the people there 796 00:43:10,320 --> 00:43:12,560 Speaker 1: smoke all the time. It's so crazy, like they all 797 00:43:12,560 --> 00:43:14,480 Speaker 1: work together, they all do it. It's like a weird 798 00:43:15,640 --> 00:43:18,439 Speaker 1: it's just like a weird thing I've noticed. Well, even 799 00:43:18,480 --> 00:43:21,520 Speaker 1: though people have cut back on it significantly in the 800 00:43:21,600 --> 00:43:24,359 Speaker 1: last couple of decades, I mean it's still huge. I 801 00:43:24,400 --> 00:43:26,960 Speaker 1: think about you know, John Middleton, the owns of Phillies, 802 00:43:27,000 --> 00:43:29,600 Speaker 1: his families in tobacco, and like they have all that 803 00:43:29,719 --> 00:43:33,400 Speaker 1: money still from decades and decades and decades, it's still going. 804 00:43:34,280 --> 00:43:36,719 Speaker 1: Oh yeah, and it'll go forever because they're just they 805 00:43:36,760 --> 00:43:39,000 Speaker 1: just shift the to noail vapes. It's it's like they're 806 00:43:39,040 --> 00:43:41,920 Speaker 1: just gonna just keep shifting it and shifting it until 807 00:43:42,800 --> 00:43:45,080 Speaker 1: they can't anymore, and then they'll find something else to 808 00:43:45,080 --> 00:43:49,600 Speaker 1: get people addicted to. It's it is just it. It 809 00:43:49,680 --> 00:43:54,880 Speaker 1: is interesting though, because you're modeling things for kids and 810 00:43:54,880 --> 00:43:57,880 Speaker 1: and they do still sell them. And it was cool 811 00:43:57,920 --> 00:44:00,000 Speaker 1: too in the article because they were saying, like certain 812 00:44:00,160 --> 00:44:02,359 Speaker 1: candies that have been banned. You know which one they 813 00:44:02,400 --> 00:44:07,439 Speaker 1: said was banned, it's outrageous. What apparently, like the SBCA 814 00:44:07,640 --> 00:44:10,680 Speaker 1: or something was complaining because there was a gummy bear 815 00:44:11,040 --> 00:44:14,600 Speaker 1: made by that trolley company. Is that what it's called 816 00:44:14,640 --> 00:44:17,239 Speaker 1: trolley the one that makes those yummy peaches and stuff? Yeah, 817 00:44:17,280 --> 00:44:21,640 Speaker 1: I think so that that was a roadkill. Oh my god, 818 00:44:21,920 --> 00:44:27,040 Speaker 1: what real? Well, I was like that that of all things, like, yeah, 819 00:44:27,120 --> 00:44:30,359 Speaker 1: versus the candy that's supposed to mimic a cigarette. Oh 820 00:44:30,360 --> 00:44:32,799 Speaker 1: my god, if you fla are so ridiculous. There's there's 821 00:44:32,880 --> 00:44:35,600 Speaker 1: candy stores down the shore though, on the boardwalk that 822 00:44:35,760 --> 00:44:38,279 Speaker 1: like they have some outrageous candies. I mean, some of 823 00:44:38,280 --> 00:44:41,600 Speaker 1: them are really funny, but they my kids got one 824 00:44:41,680 --> 00:44:44,520 Speaker 1: once that was a toilet bowl that they dip the 825 00:44:44,600 --> 00:44:48,240 Speaker 1: lollipop into toilet bowl and like eat whatever's into toilet 826 00:44:48,320 --> 00:44:50,960 Speaker 1: And now they're gonna be toilet bowl eaters because of that. 827 00:44:51,239 --> 00:44:55,840 Speaker 1: So I don't know, Like I I find that I 828 00:44:56,360 --> 00:44:58,640 Speaker 1: love candy, like, I love it a lot, I want 829 00:44:58,640 --> 00:45:00,880 Speaker 1: it all the time, right, But it's I feel like 830 00:45:00,960 --> 00:45:04,880 Speaker 1: I'm in the minority of people like that anymore. Sometimes 831 00:45:04,920 --> 00:45:07,120 Speaker 1: when I have candy, people are like, ew, why are 832 00:45:07,280 --> 00:45:10,359 Speaker 1: you just carry now? I like candy too. I was 833 00:45:10,400 --> 00:45:13,440 Speaker 1: picking Lilian up from one of her friend's house the 834 00:45:13,480 --> 00:45:16,319 Speaker 1: other day and they had this like giant bag of 835 00:45:16,880 --> 00:45:21,160 Speaker 1: sour patch kids, like economy sizes, and then the mom 836 00:45:21,239 --> 00:45:23,360 Speaker 1: was like, oh, you could have some, and I'm like no, 837 00:45:23,640 --> 00:45:25,600 Speaker 1: but I really wanted them, you know. And then Lulu 838 00:45:25,680 --> 00:45:28,239 Speaker 1: grabbed a big handful and then I like ate half 839 00:45:28,239 --> 00:45:30,440 Speaker 1: her handful. I was like, just is so good. I 840 00:45:30,480 --> 00:45:35,799 Speaker 1: love candy, it's terrible, But what is your favorite candy? Well, 841 00:45:37,600 --> 00:45:39,600 Speaker 1: I don't know, that's a hard decision because is it 842 00:45:39,680 --> 00:45:42,440 Speaker 1: are you talking about like chocolate or candy? Well, like 843 00:45:43,160 --> 00:45:46,040 Speaker 1: I guess the flying saucers are so good. Yeah, I 844 00:45:46,040 --> 00:45:49,920 Speaker 1: guess for me circumstantially, Like at the movies, I really 845 00:45:49,960 --> 00:45:52,840 Speaker 1: like Like last week at the movies, I had milk Duds, popcorn, 846 00:45:52,880 --> 00:45:56,600 Speaker 1: and a cherry coke and that was like the perfect snack. No, 847 00:45:56,880 --> 00:46:00,600 Speaker 1: I won't drink soda anymore. That shit's just bad for you. 848 00:46:00,760 --> 00:46:02,560 Speaker 1: I only have it once in a while, and it's 849 00:46:02,880 --> 00:46:06,280 Speaker 1: heavenly when do you have it? But on an everyday situation, 850 00:46:06,400 --> 00:46:09,759 Speaker 1: I prefer the sour candy variety. I really like nerds clusters, 851 00:46:09,800 --> 00:46:15,360 Speaker 1: sour Patch kids, sour Patch watermelons. I'd say nerd clusters 852 00:46:15,400 --> 00:46:18,560 Speaker 1: over all are probably my favorite candy right now, except 853 00:46:18,600 --> 00:46:21,480 Speaker 1: those ones you gave me, the Easter ones because they 854 00:46:21,480 --> 00:46:24,399 Speaker 1: were they were jelly bean nerd clusters, Yeah, they were. 855 00:46:24,960 --> 00:46:28,439 Speaker 1: The purple flavor was so gross. Yeah, I like two 856 00:46:28,480 --> 00:46:31,799 Speaker 1: boxes of Peeps at least. I like the peach rings too. 857 00:46:32,400 --> 00:46:34,200 Speaker 1: You know what's weird to me that I that I 858 00:46:34,239 --> 00:46:37,239 Speaker 1: think the Peep company should get on because you could 859 00:46:37,239 --> 00:46:39,799 Speaker 1: really do a survey because every single person that you 860 00:46:39,880 --> 00:46:42,360 Speaker 1: ever talked to like some stale better, Like, whyn't you 861 00:46:42,440 --> 00:46:45,200 Speaker 1: just sell ones that are already stale because like when 862 00:46:45,239 --> 00:46:47,719 Speaker 1: I open the container, I have to wait like a 863 00:46:47,760 --> 00:46:51,120 Speaker 1: while for them to get stale. They really should. It's 864 00:46:51,160 --> 00:46:55,080 Speaker 1: like when cheese it started making the extra toasties, because 865 00:46:55,320 --> 00:46:58,120 Speaker 1: it should be like that. Yeah, like it should be 866 00:46:58,200 --> 00:47:01,200 Speaker 1: like a specialty thing. I agree one hundred percent. I 867 00:47:01,280 --> 00:47:05,000 Speaker 1: do prefer the stale ones. Maybe they can't control the staleness, 868 00:47:05,040 --> 00:47:07,200 Speaker 1: Like if they put them out for a day and 869 00:47:07,280 --> 00:47:09,279 Speaker 1: let them get a little stiff and then wrap them up, 870 00:47:09,320 --> 00:47:11,040 Speaker 1: Like would they stay like that or would they get 871 00:47:11,040 --> 00:47:13,520 Speaker 1: like rock hard? I don't know. A couple of weeks ago, 872 00:47:13,800 --> 00:47:15,880 Speaker 1: I don't know. Me and Ricking were just like talking 873 00:47:15,920 --> 00:47:18,040 Speaker 1: about our days and he was like, would you eat 874 00:47:18,080 --> 00:47:20,399 Speaker 1: for lunch today? I was like, me and my mob 875 00:47:20,480 --> 00:47:24,319 Speaker 1: went to Walmart. We split a pack of peeps. That 876 00:47:24,480 --> 00:47:28,520 Speaker 1: was our healthy lunch. I wonder, like, why my joints hurt? 877 00:47:28,520 --> 00:47:32,160 Speaker 1: And shit? This this is why you have explained well, Diary, 878 00:47:33,480 --> 00:47:36,680 Speaker 1: it could be it was right around peep time. Maybe 879 00:47:36,719 --> 00:47:41,440 Speaker 1: I just I'm gonna start getting a coffee all right, guys, 880 00:47:43,120 --> 00:47:45,239 Speaker 1: thank you so much a few of the story for us. 881 00:47:45,280 --> 00:47:47,960 Speaker 1: Please submit it to Stories that motherdoesda dot com. Set 882 00:47:48,000 --> 00:47:50,000 Speaker 1: us a message on Instagram, but please don't forget to 883 00:47:50,120 --> 00:47:53,240 Speaker 1: leave us a nice review on Apple, Spotify or subscribe 884 00:47:53,280 --> 00:47:55,440 Speaker 1: to our YouTube channel. All right, we'll see you the 885 00:47:55,520 --> 00:48:01,239 Speaker 1: later in the week. Thank you for listening to Mother 886 00:48:01,360 --> 00:48:05,120 Speaker 1: Nos Death. As a reminder, my training is as a 887 00:48:05,120 --> 00:48:09,960 Speaker 1: pathologist's assistant. I have a master's level education and specialize 888 00:48:10,000 --> 00:48:14,040 Speaker 1: in anatomy and pathology education. I am not a doctor 889 00:48:14,080 --> 00:48:17,040 Speaker 1: and I have not diagnosed or treated anyone dead or 890 00:48:17,160 --> 00:48:22,440 Speaker 1: alive without the assistance of a licensed medical doctor. This show, 891 00:48:22,760 --> 00:48:26,440 Speaker 1: my website, and social media accounts are designed to educate 892 00:48:26,520 --> 00:48:30,440 Speaker 1: and inform people based on my experience working in pathology, 893 00:48:30,960 --> 00:48:34,160 Speaker 1: so they can make healthier decisions regarding their life and 894 00:48:34,200 --> 00:48:38,439 Speaker 1: well being. Always remember that science is changing every day 895 00:48:38,520 --> 00:48:41,480 Speaker 1: and the opinions expressed in this episode are based on 896 00:48:41,560 --> 00:48:44,239 Speaker 1: my knowledge of those subjects at the time of publication. 897 00:48:45,480 --> 00:48:49,080 Speaker 1: If you are having a medical problem, have a medical question, 898 00:48:49,640 --> 00:48:53,759 Speaker 1: or having a medical emergency, please contact your physician or 899 00:48:53,840 --> 00:48:59,480 Speaker 1: visit an urgent care center, emergency room or hospital. Please rate, review, 900 00:48:59,600 --> 00:49:04,000 Speaker 1: and subsebscribe to Mother Knows Death on Apple, Spotify, YouTube, 901 00:49:04,239 --> 00:49:06,720 Speaker 1: or anywhere you get podcasts. Thanks