1 00:00:00,200 --> 00:00:04,040 Speaker 1: Hm, I'm Manny, I'm Noah. This is Devin, and welcome 2 00:00:04,040 --> 00:00:05,880 Speaker 1: to no such thing, the show where we settle our 3 00:00:05,960 --> 00:00:09,280 Speaker 1: dumb arguments and yours by actually doing the research. This 4 00:00:09,400 --> 00:00:16,040 Speaker 1: week I attempt fate by asking, does food poisoning actually exist? I? 5 00:00:16,200 --> 00:00:21,920 Speaker 2: No, there's no no such thing. No touch, thank touch, 6 00:00:22,360 --> 00:00:32,320 Speaker 2: thank touch, thank touch, Thank so. 7 00:00:32,400 --> 00:00:36,320 Speaker 1: This is a very old many no Devin discussion. Yeah, 8 00:00:36,360 --> 00:00:39,559 Speaker 1: we've all heard the stories. Someone goes out to eat, 9 00:00:39,680 --> 00:00:41,600 Speaker 1: then they're running to the bathroom, they're calling out of 10 00:00:41,640 --> 00:00:43,640 Speaker 1: work sick. They say they have a bad case of 11 00:00:43,680 --> 00:00:49,080 Speaker 1: food poisoning. Must have been the nachos, bad fish. Yeah, 12 00:00:49,200 --> 00:00:52,920 Speaker 1: this has never happened to me. But now let me 13 00:00:52,960 --> 00:00:58,279 Speaker 1: be clear, I don't have a particularly strong constitution. I'm 14 00:00:58,320 --> 00:01:01,240 Speaker 1: also not very selective or picky where I eat. I'm 15 00:01:01,240 --> 00:01:04,520 Speaker 1: not checking the health ratings on the board. Sure, so 16 00:01:06,000 --> 00:01:09,840 Speaker 1: when I add these things up, food poisoning isn't real. 17 00:01:12,160 --> 00:01:15,479 Speaker 1: Or let me let me sayund it's a thrown around 18 00:01:15,880 --> 00:01:18,120 Speaker 1: altitude loosely for my liking. All right, if I need 19 00:01:18,160 --> 00:01:19,440 Speaker 1: to be diplomatic. 20 00:01:19,440 --> 00:01:21,680 Speaker 3: Were you're you're saying, we hear, we hear about food 21 00:01:21,720 --> 00:01:23,320 Speaker 3: poisoning more often than it happens. 22 00:01:23,920 --> 00:01:25,160 Speaker 1: I think, so I would. 23 00:01:24,959 --> 00:01:28,000 Speaker 4: Agree with because people, if you're going to call out 24 00:01:28,000 --> 00:01:28,560 Speaker 4: of work. 25 00:01:28,720 --> 00:01:31,440 Speaker 5: It's the easiest excuse I have food poison You don't 26 00:01:31,480 --> 00:01:34,880 Speaker 5: have to fake being sick beforehand to lead up to 27 00:01:35,000 --> 00:01:35,800 Speaker 5: lying about it. 28 00:01:35,959 --> 00:01:39,080 Speaker 1: Yeah, and you don't. You probably don't need to go 29 00:01:39,120 --> 00:01:39,679 Speaker 1: to a doctor. 30 00:01:39,840 --> 00:01:42,559 Speaker 4: No, probably because they're not going to do anything. 31 00:01:42,640 --> 00:01:42,840 Speaker 6: No. 32 00:01:42,840 --> 00:01:45,319 Speaker 4: No, Yeah, it's one day. You can come back the 33 00:01:45,319 --> 00:01:45,839 Speaker 4: next day. 34 00:01:46,280 --> 00:01:52,200 Speaker 1: So let's talk about actually being sick. What are your experiences. 35 00:01:52,200 --> 00:01:53,840 Speaker 1: We don't need to get into details, but. 36 00:01:53,880 --> 00:01:55,720 Speaker 5: Now we can get into details because this is what 37 00:01:55,840 --> 00:02:01,040 Speaker 5: makes me so upset about saying I've had food poisoning 38 00:02:02,200 --> 00:02:03,200 Speaker 5: two to three times. 39 00:02:03,440 --> 00:02:04,559 Speaker 1: Okay, that's not a fact. 40 00:02:04,840 --> 00:02:07,040 Speaker 4: No, or you know, you know, I feel he's going 41 00:02:07,080 --> 00:02:07,240 Speaker 4: to be. 42 00:02:09,400 --> 00:02:12,000 Speaker 1: There always, maybe every eight weeks. No, No, it's like, 43 00:02:12,240 --> 00:02:13,120 Speaker 1: what are you doing now? 44 00:02:13,160 --> 00:02:13,359 Speaker 4: Well? 45 00:02:13,880 --> 00:02:16,239 Speaker 5: What makes me upset about you saying it's not real 46 00:02:16,360 --> 00:02:20,720 Speaker 5: is that food poisoning is probably the worst sickness you 47 00:02:20,760 --> 00:02:22,640 Speaker 5: can have, you know what, A feeling like I want 48 00:02:22,639 --> 00:02:26,560 Speaker 5: to die, Yeah all the time, because I've gotten food poisoning. 49 00:02:28,360 --> 00:02:31,000 Speaker 5: Sometimes when you're sick, it's like, oh I get to relax, Yeah, 50 00:02:31,080 --> 00:02:36,320 Speaker 5: home watching It's just miserable. You have like the shakes. Yeah, 51 00:02:36,639 --> 00:02:39,560 Speaker 5: I hate throwing up. It's the worst thing in the 52 00:02:39,600 --> 00:02:40,919 Speaker 5: world throwing up. 53 00:02:41,240 --> 00:02:44,640 Speaker 4: Oh wait, wait, we got to talk about this real quick. 54 00:02:44,960 --> 00:02:45,600 Speaker 4: Growing up. 55 00:02:49,400 --> 00:02:50,840 Speaker 3: I don't know what the hell this is about. 56 00:02:51,320 --> 00:02:51,800 Speaker 7: Set it up. 57 00:02:51,840 --> 00:02:52,359 Speaker 4: Growing up. 58 00:02:52,800 --> 00:02:57,920 Speaker 5: As kids, sometimes you get sick and you gotta throw up. Yeah, man, 59 00:02:58,360 --> 00:02:59,880 Speaker 5: when we throw out, what do we do? We get 60 00:03:00,080 --> 00:03:02,720 Speaker 5: up and you go throw up? What are you throwing up? 61 00:03:02,760 --> 00:03:03,440 Speaker 3: In the toilet? 62 00:03:03,720 --> 00:03:07,359 Speaker 4: Okay, in the toilet, right, not in the sink. We're 63 00:03:07,360 --> 00:03:12,640 Speaker 4: not getting things we cook with to throw up into. 64 00:03:12,720 --> 00:03:15,960 Speaker 4: Some people get bowls or or pots. These are these 65 00:03:15,960 --> 00:03:18,000 Speaker 4: are things that that they to hold. 66 00:03:17,720 --> 00:03:20,280 Speaker 3: The vomit, yes, and then they put it in the toilet. 67 00:03:20,560 --> 00:03:22,120 Speaker 4: Would be I don't know what they do with it. 68 00:03:22,160 --> 00:03:24,160 Speaker 1: This is what it would be like. Let me speak 69 00:03:24,200 --> 00:03:26,600 Speaker 1: for my probably eating it later. It would be like, okay, 70 00:03:26,639 --> 00:03:31,040 Speaker 1: I have I have a tummy. Yeah, I'm six years old. Okay, 71 00:03:31,720 --> 00:03:35,120 Speaker 1: I'm I'm I'm getting ready for bed, and then yeah, 72 00:03:35,120 --> 00:03:37,920 Speaker 1: I'm gonna take the plastic bowl and that's gonna be 73 00:03:37,920 --> 00:03:41,400 Speaker 1: my case. I might not make it to the bathroom. 74 00:03:41,600 --> 00:03:43,000 Speaker 1: These are basically storage bowls. 75 00:03:44,680 --> 00:03:47,320 Speaker 4: Okay, So let's break it down for these. 76 00:03:46,840 --> 00:03:48,600 Speaker 1: Aren't like, it's not like a cereal bull. 77 00:03:49,000 --> 00:03:50,160 Speaker 4: Okay, what is it? 78 00:03:49,640 --> 00:03:52,520 Speaker 5: It's like a plastic What are you putting in it 79 00:03:52,520 --> 00:03:53,960 Speaker 5: when you're not throwing up into it? 80 00:03:54,240 --> 00:03:58,280 Speaker 1: Pretty much nothing? Honestly, other bowls like it's. 81 00:03:58,160 --> 00:03:59,920 Speaker 5: So, this is the thing I've learned, but over the 82 00:04:00,040 --> 00:04:02,320 Speaker 5: last couple of years is that in the white community, 83 00:04:02,400 --> 00:04:04,720 Speaker 5: they throw up into containers that they event. 84 00:04:04,680 --> 00:04:07,080 Speaker 3: It's not just it's a community. 85 00:04:07,160 --> 00:04:09,600 Speaker 5: Yeah, they have like they're like, that's the that's the 86 00:04:09,640 --> 00:04:11,520 Speaker 5: pot that we would throw up in and then also 87 00:04:11,560 --> 00:04:12,360 Speaker 5: cook our stupid. 88 00:04:12,640 --> 00:04:14,320 Speaker 1: It's interesting that the bull thing bothers you so much 89 00:04:14,360 --> 00:04:16,560 Speaker 1: because it's like, you don't think it's you don't think 90 00:04:17,360 --> 00:04:19,360 Speaker 1: someone can wash the ball, like you don't trust and 91 00:04:19,640 --> 00:04:20,080 Speaker 1: I know that. 92 00:04:20,040 --> 00:04:22,280 Speaker 4: People could wash the ball. I understand that. 93 00:04:22,240 --> 00:04:23,719 Speaker 1: You people don't even wash their bodies. 94 00:04:23,960 --> 00:04:26,720 Speaker 5: I know you can sanitize things. To me, it's just 95 00:04:26,800 --> 00:04:30,040 Speaker 5: like there are other did you not have trash cans 96 00:04:30,080 --> 00:04:30,479 Speaker 5: in your home? 97 00:04:30,839 --> 00:04:32,440 Speaker 3: My mom would beat my ass if I throw up 98 00:04:32,480 --> 00:04:34,960 Speaker 3: in a bowl. But I can understand this from the 99 00:04:34,960 --> 00:04:37,080 Speaker 3: perspective of like it's easier to I'm gonna wake up 100 00:04:37,080 --> 00:04:38,800 Speaker 3: and I'm about to throw up, and I need to 101 00:04:38,839 --> 00:04:40,760 Speaker 3: turn okay, but not putting something. 102 00:04:40,520 --> 00:04:43,680 Speaker 5: Near the garbage cans. He's admitted to garbage cans, and 103 00:04:43,680 --> 00:04:45,839 Speaker 5: it's the bull is not the only container. 104 00:04:46,000 --> 00:04:50,159 Speaker 1: It is easier. It's it's a bowl, so it's easy. 105 00:04:50,200 --> 00:04:55,160 Speaker 1: There's more. Yeah, I think I'm a I'm a baby basically. 106 00:04:56,400 --> 00:04:58,160 Speaker 1: I think you a fifteen doing. 107 00:04:58,240 --> 00:05:01,000 Speaker 4: Just think it's disgusting to throw up into a pot. 108 00:05:01,520 --> 00:05:04,040 Speaker 4: That's crazy. It's like the fact, this is the cleanup 109 00:05:04,080 --> 00:05:04,760 Speaker 4: of it. 110 00:05:05,160 --> 00:05:07,919 Speaker 1: And then you, you know, wash it with lisol and 111 00:05:07,960 --> 00:05:10,240 Speaker 1: other stuff. It's just like anything else at that point. 112 00:05:10,680 --> 00:05:12,560 Speaker 1: There's disgusting leftover food all the time. 113 00:05:13,279 --> 00:05:13,880 Speaker 4: That's food. 114 00:05:13,960 --> 00:05:16,040 Speaker 5: It's not my throw up. Well, I don't want to 115 00:05:16,040 --> 00:05:18,240 Speaker 5: see my throw up in any container. 116 00:05:18,800 --> 00:05:19,640 Speaker 1: Something to come around. 117 00:05:19,720 --> 00:05:23,120 Speaker 3: I mean, your your your vomits, Your vomit is your 118 00:05:23,200 --> 00:05:25,480 Speaker 3: food with like a little bit of a mile I 119 00:05:25,520 --> 00:05:27,000 Speaker 3: guess sometime food plus. 120 00:05:26,839 --> 00:05:30,560 Speaker 5: Okay, But y'all are acting like you don't have other options. No, 121 00:05:30,800 --> 00:05:34,720 Speaker 5: I know in that versus on my bed. Sure, I'll 122 00:05:34,720 --> 00:05:36,600 Speaker 5: throw up in that. 123 00:05:36,240 --> 00:05:37,919 Speaker 1: Is essentially that's what we're saying. 124 00:05:38,080 --> 00:05:40,039 Speaker 5: You have one bowl that you would use, right, It's 125 00:05:40,040 --> 00:05:42,000 Speaker 5: not even like they're rotating the containers that. 126 00:05:43,320 --> 00:05:45,760 Speaker 1: Worse, wouldn't that be worse for you. If now there's 127 00:05:45,880 --> 00:05:48,880 Speaker 1: twenty bowls that are thrown up, I think is worse 128 00:05:49,240 --> 00:05:52,440 Speaker 1: by your argument you have a dedicated bowl, Yes. 129 00:05:52,320 --> 00:05:54,240 Speaker 4: You should have a dedicated bowl that you're not cooking it. 130 00:05:54,640 --> 00:05:56,320 Speaker 1: Okay, I basically said that. 131 00:05:56,920 --> 00:05:58,880 Speaker 4: No, but the people I'm not talking about you. 132 00:05:58,839 --> 00:06:00,520 Speaker 1: Specifically, Okay, well, you're attacking me. 133 00:06:00,680 --> 00:06:03,479 Speaker 5: But there are other whites on the internet saying this 134 00:06:03,560 --> 00:06:06,320 Speaker 5: is the pot or bowl that we would throw up 135 00:06:06,360 --> 00:06:09,080 Speaker 5: into and also make super whatever with. 136 00:06:09,480 --> 00:06:11,679 Speaker 3: Look, I think I don't think. I think we're talking 137 00:06:11,680 --> 00:06:13,320 Speaker 3: in circles at this point. I want to hear from 138 00:06:13,320 --> 00:06:14,400 Speaker 3: I want to hear from the listeners. 139 00:06:14,520 --> 00:06:17,760 Speaker 4: If you had yeah, if your family had sick, did. 140 00:06:17,600 --> 00:06:20,760 Speaker 3: You have a dedicated vomit container. 141 00:06:20,279 --> 00:06:22,039 Speaker 4: Bowl that you also made food in? 142 00:06:22,640 --> 00:06:24,479 Speaker 3: Okay, that you also used. 143 00:06:24,400 --> 00:06:27,920 Speaker 5: Not just like a bucket or or a bucket, have 144 00:06:27,920 --> 00:06:28,640 Speaker 5: a bucket in your. 145 00:06:28,520 --> 00:06:29,400 Speaker 4: Home, use a bucket? 146 00:06:29,560 --> 00:06:31,640 Speaker 1: All right, all right, I think we're done. 147 00:06:33,200 --> 00:06:36,720 Speaker 3: You said you've had food poisoning two to three times times. 148 00:06:36,920 --> 00:06:38,200 Speaker 1: Do you have an idea of the culprit? 149 00:06:38,400 --> 00:06:41,320 Speaker 5: So one time it was it was a bowl place, 150 00:06:41,480 --> 00:06:43,039 Speaker 5: it was a Mediterranean bowl. 151 00:06:43,040 --> 00:06:43,719 Speaker 4: I don't even know. 152 00:06:44,240 --> 00:06:49,200 Speaker 5: It may have been like a cavo or something got sponsor. 153 00:06:49,440 --> 00:06:51,840 Speaker 4: It was one of and it's this was before it 154 00:06:51,880 --> 00:06:52,320 Speaker 4: was crazy. 155 00:06:52,480 --> 00:06:53,240 Speaker 1: It was too crazy. 156 00:06:53,360 --> 00:06:55,520 Speaker 5: Yeah, it's a little nutty. 157 00:06:55,640 --> 00:06:57,600 Speaker 4: So it was like it wasn't even something I considered 158 00:06:57,600 --> 00:06:58,160 Speaker 4: to be risky. 159 00:06:58,520 --> 00:07:02,040 Speaker 5: Yeah, and once again, this is what I think gave 160 00:07:02,080 --> 00:07:04,440 Speaker 5: it to me, because you know, the classic food poisoning 161 00:07:04,480 --> 00:07:05,920 Speaker 5: thing is you get food posoning and you go through 162 00:07:05,960 --> 00:07:07,920 Speaker 5: all the day until you ate. Recently, you're like, that's 163 00:07:07,920 --> 00:07:09,200 Speaker 5: the no one, that's norm When that was out of 164 00:07:09,200 --> 00:07:10,880 Speaker 5: the ordinary, Yeah, exactly. 165 00:07:10,520 --> 00:07:11,240 Speaker 1: Only a year ago. 166 00:07:11,560 --> 00:07:13,920 Speaker 3: On my way back from LA I landed at like 167 00:07:13,960 --> 00:07:16,680 Speaker 3: eleven or midnight, but I was really hungry, and I 168 00:07:16,720 --> 00:07:18,440 Speaker 3: went to a bodego on my way home and got 169 00:07:18,480 --> 00:07:21,200 Speaker 3: like a buffalo chicken saying, which is like a hero, 170 00:07:22,480 --> 00:07:29,520 Speaker 3: and ate it probably thirty to forty five minutes later. Yeah, 171 00:07:29,680 --> 00:07:31,920 Speaker 3: that is when I was like Kevin, it was coming 172 00:07:32,000 --> 00:07:34,320 Speaker 3: right out of me. I was on the toilet forever. 173 00:07:34,640 --> 00:07:37,960 Speaker 3: I had like a cold sweat and shivers and stuff. 174 00:07:38,280 --> 00:07:38,520 Speaker 4: Yeah. 175 00:07:38,560 --> 00:07:41,840 Speaker 3: But here's the interesting part. The next day, I was 176 00:07:41,880 --> 00:07:44,080 Speaker 3: shocked at how I could have gotten so sick from 177 00:07:44,080 --> 00:07:44,800 Speaker 3: that so quickly. 178 00:07:44,960 --> 00:07:46,480 Speaker 5: That's what I was going to say, Man, I didn't 179 00:07:46,480 --> 00:07:48,120 Speaker 5: want to call you out, but that seems a little 180 00:07:48,120 --> 00:07:51,800 Speaker 5: too fast. Thirty forty five minutes, I asked my doctor, 181 00:07:52,080 --> 00:07:54,200 Speaker 5: even in your body yet she was saying. 182 00:07:53,880 --> 00:07:57,000 Speaker 3: That the culprit could be anything you've eaten in the 183 00:07:57,080 --> 00:08:01,240 Speaker 3: last ten days. I think we are so attuned to 184 00:08:01,280 --> 00:08:03,679 Speaker 3: thinking that it's something I just ate that got me sick. 185 00:08:04,280 --> 00:08:05,440 Speaker 4: I'm sorry, I don't believe that. 186 00:08:05,600 --> 00:08:07,960 Speaker 3: So I wonder, like, all right, maybe you have a 187 00:08:08,040 --> 00:08:11,200 Speaker 3: regular sickness and you just finished eating and then you 188 00:08:11,200 --> 00:08:12,120 Speaker 3: thought it was that thing. 189 00:08:12,560 --> 00:08:16,640 Speaker 5: I can see the last I'll give you two. I'm 190 00:08:16,680 --> 00:08:19,760 Speaker 5: not getting food boys nine days ago. 191 00:08:19,880 --> 00:08:22,600 Speaker 4: That is out. It came out already. 192 00:08:22,720 --> 00:08:24,960 Speaker 5: If we're going to say that, then there was one 193 00:08:24,960 --> 00:08:28,520 Speaker 5: time in Toronto, I ate a pizza with eggplant on it. 194 00:08:29,120 --> 00:08:31,240 Speaker 5: Sure something was going on with it. It was one 195 00:08:31,240 --> 00:08:33,000 Speaker 5: of the things where I was as I was eating it, 196 00:08:33,040 --> 00:08:36,000 Speaker 5: I was like something, Oh, this feels like I like eggplant, 197 00:08:36,040 --> 00:08:39,000 Speaker 5: but this is this is not something is up. Went 198 00:08:39,040 --> 00:08:42,040 Speaker 5: in the bathroom at the pizza place. I'm still there, 199 00:08:42,600 --> 00:08:45,920 Speaker 5: threw up. So that's you talk about thirty forty five 200 00:08:45,960 --> 00:08:47,800 Speaker 5: minutes about mid eating. 201 00:08:47,920 --> 00:08:50,440 Speaker 3: Well you use zero minutes if you didn't eat anything 202 00:08:50,760 --> 00:08:52,440 Speaker 3: in that moment. You probably would have went to the 203 00:08:52,440 --> 00:08:53,280 Speaker 3: bathroom and threw up. 204 00:08:53,440 --> 00:08:53,680 Speaker 4: No. 205 00:08:53,679 --> 00:08:56,240 Speaker 5: No, I was eating the pizza. The pizza made me 206 00:08:56,240 --> 00:09:00,120 Speaker 5: feel sick, and then I threw up. It was and 207 00:09:00,240 --> 00:09:01,240 Speaker 5: it was a response to. 208 00:09:01,240 --> 00:09:04,719 Speaker 1: The Okay, but I know what happened after you ate 209 00:09:04,760 --> 00:09:07,040 Speaker 1: the pizza. But maybe there's something in something that's inside 210 00:09:07,040 --> 00:09:10,760 Speaker 1: of you before the pizza. The pizza is just kind 211 00:09:10,760 --> 00:09:13,560 Speaker 1: of pushing it. Three doctors right here, you know, and 212 00:09:13,600 --> 00:09:16,520 Speaker 1: that's just spring it. You're blaming the pizza the new pizza, 213 00:09:16,559 --> 00:09:17,679 Speaker 1: but maybe it was the old thing. 214 00:09:18,080 --> 00:09:19,839 Speaker 4: The pizza made me feel. 215 00:09:19,960 --> 00:09:21,920 Speaker 1: You're saying that's how you feel, that's what you think. 216 00:09:22,280 --> 00:09:22,720 Speaker 8: The fact. 217 00:09:22,800 --> 00:09:24,600 Speaker 4: Now you're telling me how I facts. 218 00:09:24,600 --> 00:09:25,600 Speaker 3: Don't care about your feelings. 219 00:09:25,720 --> 00:09:28,520 Speaker 5: Yeah, exactly, as I was eating the pizza, I was like, 220 00:09:28,600 --> 00:09:30,800 Speaker 5: oh my god, this pizza is making me feel naice. 221 00:09:30,640 --> 00:09:34,319 Speaker 1: Because and then it's interacting with what say okay, it 222 00:09:34,400 --> 00:09:35,000 Speaker 1: was the trigger. 223 00:09:35,200 --> 00:09:36,480 Speaker 4: I would put the pizza. 224 00:09:36,160 --> 00:09:39,160 Speaker 5: Down and say, okay, I'm not I'm gonna not touch it, 225 00:09:39,240 --> 00:09:40,040 Speaker 5: and I felt Okay. 226 00:09:40,240 --> 00:09:41,800 Speaker 4: The reason I'm telling that story is I didn't think 227 00:09:41,800 --> 00:09:43,200 Speaker 4: it was food what it was. 228 00:09:43,240 --> 00:09:45,000 Speaker 1: I thought you were trying to say it was You 229 00:09:45,040 --> 00:09:46,720 Speaker 1: don't think I had a reaction. 230 00:09:46,480 --> 00:09:50,160 Speaker 4: To the pizza. But it's not food poisoning, So. 231 00:09:50,120 --> 00:09:53,120 Speaker 5: You wouldn't call that food poison no, because how was 232 00:09:53,160 --> 00:09:55,160 Speaker 5: it poison It didn't give it didn't have the time 233 00:09:55,200 --> 00:09:55,800 Speaker 5: to poison me. 234 00:09:55,880 --> 00:09:56,760 Speaker 1: So what do you think that is? 235 00:09:56,880 --> 00:09:58,960 Speaker 5: I just had some sort of reaction to the ingredient, 236 00:09:59,160 --> 00:10:01,160 Speaker 5: like allergy, maybe an allergy. 237 00:10:01,559 --> 00:10:04,400 Speaker 3: I'll be honest, Like, I know when you get a cold, 238 00:10:04,679 --> 00:10:07,240 Speaker 3: what makes you sick? Like you're getting like if it's 239 00:10:07,280 --> 00:10:11,040 Speaker 3: like an infection in some way or like a bug. 240 00:10:11,679 --> 00:10:15,440 Speaker 3: I don't know what food poisoning? How you get sick 241 00:10:15,520 --> 00:10:15,880 Speaker 3: from that? 242 00:10:16,679 --> 00:10:16,920 Speaker 4: Is it? 243 00:10:16,960 --> 00:10:20,280 Speaker 3: Like, like what undercooked food that's causing your body to 244 00:10:20,400 --> 00:10:21,400 Speaker 3: react badly? 245 00:10:21,559 --> 00:10:22,480 Speaker 1: That's what I want to find out. 246 00:10:22,520 --> 00:10:24,360 Speaker 5: I think it could be undercooked, right, I think it 247 00:10:24,360 --> 00:10:26,960 Speaker 5: could be prepared in a not a good way, so 248 00:10:27,080 --> 00:10:28,040 Speaker 5: cross contamination. 249 00:10:28,600 --> 00:10:30,840 Speaker 1: Yeah, So I mean, I'll say this. I know I'm 250 00:10:30,880 --> 00:10:33,760 Speaker 1: a skeptic, but like I I'm a big fan of 251 00:10:33,800 --> 00:10:36,880 Speaker 1: Gordon Ramsey. I've watched many of his shows, hundreds of 252 00:10:36,880 --> 00:10:41,040 Speaker 1: hours of his reporting, and watching that, I am like, 253 00:10:41,080 --> 00:10:43,240 Speaker 1: there's some funky stuff going on in kitchens. Oh yeah, 254 00:10:43,280 --> 00:10:44,600 Speaker 1: around the world. 255 00:10:44,720 --> 00:10:47,640 Speaker 4: Frankly, raw meat next to the vegetables next to. 256 00:10:47,600 --> 00:10:50,640 Speaker 1: So, I mean, I understand how this can happen. Yeah, 257 00:10:50,720 --> 00:10:51,840 Speaker 1: if it happens, If. 258 00:10:52,480 --> 00:10:55,160 Speaker 4: It were to happen, I want to believe what you like, 259 00:10:55,640 --> 00:10:56,200 Speaker 4: if I did it. 260 00:10:57,760 --> 00:11:02,040 Speaker 1: Food prep obviously the source farms, Yeah yeah, I've seen 261 00:11:02,080 --> 00:11:04,199 Speaker 1: some videos from these farms. Doesn't seem that clean. 262 00:11:04,640 --> 00:11:09,959 Speaker 3: No, remember when Chipotle had the big was it salmonella outbreak? 263 00:11:10,360 --> 00:11:13,680 Speaker 3: To me, that's food poisoning, Like you consume that and 264 00:11:13,720 --> 00:11:15,679 Speaker 3: then you get sick from it. Yeah, but that's not 265 00:11:15,760 --> 00:11:18,960 Speaker 3: happening as often as people are saying they get food 266 00:11:18,960 --> 00:11:20,920 Speaker 3: poisoned for recalls that stuff. 267 00:11:21,000 --> 00:11:23,240 Speaker 5: Yeah, that's a different thing. That's like a recall that 268 00:11:23,520 --> 00:11:25,040 Speaker 5: someone messed up a whole batch of. 269 00:11:25,120 --> 00:11:27,080 Speaker 1: Yeah, yeah, see that. I think that's where things are complicate, 270 00:11:27,080 --> 00:11:29,480 Speaker 1: because of course we're like boris Head last year. Yes, 271 00:11:29,880 --> 00:11:33,120 Speaker 1: there's these things where there's nationwide recalls and all this stuff, 272 00:11:33,120 --> 00:11:35,079 Speaker 1: and you then it's like, okay, they're tracing this back 273 00:11:35,080 --> 00:11:37,040 Speaker 1: to the source and they know this is it contamination. 274 00:11:37,080 --> 00:11:38,839 Speaker 1: And then there's other stuff where it's like okay, me 275 00:11:38,840 --> 00:11:41,080 Speaker 1: and my buddy go to the socco place, Yeah we 276 00:11:41,160 --> 00:11:43,839 Speaker 1: get the same thing. He's having a problem, and I'm 277 00:11:43,880 --> 00:11:45,080 Speaker 1: not why is that. 278 00:11:45,000 --> 00:11:46,120 Speaker 4: Because not everyone. 279 00:11:46,320 --> 00:11:48,400 Speaker 5: This is also the thing with food poisoning is that 280 00:11:48,640 --> 00:11:50,360 Speaker 5: two people could get the same exact meal and have 281 00:11:50,360 --> 00:11:51,520 Speaker 5: different reactions to it. 282 00:11:51,720 --> 00:11:55,560 Speaker 1: Yeah, clearly. One more question, do you guys wash your chicken? 283 00:11:57,080 --> 00:11:57,280 Speaker 2: No? 284 00:11:59,120 --> 00:12:01,520 Speaker 5: I hate the same as on camera, but I don't 285 00:12:01,679 --> 00:12:04,760 Speaker 5: because I notice is controversial and in the black community. 286 00:12:05,360 --> 00:12:07,040 Speaker 1: Yeah so sometimes. 287 00:12:07,480 --> 00:12:10,600 Speaker 5: Yeah, but you're not supposed to wash your chicken because 288 00:12:10,640 --> 00:12:12,360 Speaker 5: if there is something on it, you're just spreading it, 289 00:12:12,400 --> 00:12:13,520 Speaker 5: you're not actually cleaning it. 290 00:12:13,720 --> 00:12:16,199 Speaker 4: Let's say I used to do it because that's the 291 00:12:16,240 --> 00:12:17,000 Speaker 4: way I was taught. 292 00:12:17,320 --> 00:12:21,280 Speaker 5: So you get vinegar and lemon juice, and you like 293 00:12:21,360 --> 00:12:23,800 Speaker 5: kind of give it like a little bath in the bowl. 294 00:12:23,880 --> 00:12:27,320 Speaker 3: As far as black community misconceptions go, that one's up 295 00:12:27,320 --> 00:12:30,280 Speaker 3: there with we don't need to wear sunscreen. Yes, got 296 00:12:30,280 --> 00:12:33,040 Speaker 3: my ass fried a couple of times by following that advice. 297 00:12:33,160 --> 00:12:35,480 Speaker 5: We don't need to wash the chicken, y'all. I know 298 00:12:35,760 --> 00:12:38,640 Speaker 5: we're gonna get the emails. It is okay, I haven't 299 00:12:38,679 --> 00:12:41,520 Speaker 5: been washing chicken for years. I have not gotten food poisoning. 300 00:12:41,800 --> 00:12:45,400 Speaker 1: So I want to find out what is food poisoning? 301 00:12:46,160 --> 00:12:47,480 Speaker 4: Well, first of all, is it real? 302 00:12:48,240 --> 00:12:52,240 Speaker 1: That's my second question? How common is it? Okay, why 303 00:12:52,240 --> 00:12:54,679 Speaker 1: don't I get it? How can we stay safe? 304 00:12:54,880 --> 00:12:55,920 Speaker 4: What if thing's so void? 305 00:12:56,240 --> 00:13:11,720 Speaker 1: Yeah, and we'll find out after the break. Okay, we're back. 306 00:13:12,000 --> 00:13:13,800 Speaker 4: I'm Manny, I'm Noah Devin. 307 00:13:13,960 --> 00:13:16,839 Speaker 1: So we're talking about food poisoning. I'm skeptical of how 308 00:13:17,080 --> 00:13:19,040 Speaker 1: common it is. I feel like it's used to liberally, 309 00:13:19,240 --> 00:13:21,800 Speaker 1: and I'm wondering why I don't get it personally. So 310 00:13:21,920 --> 00:13:24,319 Speaker 1: I did some research. I had some perfect phone calls 311 00:13:24,320 --> 00:13:27,640 Speaker 1: with some experts in the field. First up, I spoke 312 00:13:27,679 --> 00:13:28,880 Speaker 1: to doctor Ben Chapman. 313 00:13:29,520 --> 00:13:33,600 Speaker 9: I'm a professor and food safety extension specialist and department 314 00:13:33,640 --> 00:13:36,960 Speaker 9: head at North Carolina State University, and the area that 315 00:13:37,080 --> 00:13:39,920 Speaker 9: I focus on is food born illness and food safety, 316 00:13:40,080 --> 00:13:43,800 Speaker 9: especially around restaurants, retail stores, and consumer homes. 317 00:13:44,400 --> 00:13:47,360 Speaker 1: And more importantly arguably, he has his own podcast called 318 00:13:47,360 --> 00:13:49,120 Speaker 1: Food Safety Talk. So this is the guy to. 319 00:13:49,120 --> 00:13:49,520 Speaker 4: Talk to him. 320 00:13:49,559 --> 00:13:52,320 Speaker 1: Hey, yeah, So first up, I asked him to explain 321 00:13:52,360 --> 00:13:54,000 Speaker 1: what food poisoning actually is. 322 00:13:54,559 --> 00:13:59,439 Speaker 9: Food poisoning technically is like one slice where someone eats 323 00:13:59,440 --> 00:14:02,680 Speaker 9: something and there's a toxin in it and you get 324 00:14:02,760 --> 00:14:06,920 Speaker 9: really sick, really quickly, like within six or eight hours. 325 00:14:07,080 --> 00:14:07,320 Speaker 1: You know. 326 00:14:07,679 --> 00:14:09,600 Speaker 9: Back in the seventies, or eighties where a whole bunch 327 00:14:09,600 --> 00:14:11,520 Speaker 9: of people went to a wedding and the next day 328 00:14:11,559 --> 00:14:14,400 Speaker 9: everybody showed up at the emergency room or at their 329 00:14:14,440 --> 00:14:17,280 Speaker 9: primary carreer doctor and then started talking like, oh, what 330 00:14:17,320 --> 00:14:18,400 Speaker 9: did you have the chicken? 331 00:14:18,480 --> 00:14:19,520 Speaker 7: Did you have the fish? Whatever? 332 00:14:19,840 --> 00:14:23,239 Speaker 9: Right, Like, that's kind of the common look at poisoning. 333 00:14:23,600 --> 00:14:26,440 Speaker 9: Food born illness is a little more nuanced. We see 334 00:14:26,480 --> 00:14:29,280 Speaker 9: outbreaks now that might be like as few as three 335 00:14:29,360 --> 00:14:32,080 Speaker 9: or four people, and they might be in four different 336 00:14:32,120 --> 00:14:35,000 Speaker 9: states or in two different countries, And that has I 337 00:14:35,000 --> 00:14:38,840 Speaker 9: would say, broadened the view of food born illness because 338 00:14:39,120 --> 00:14:43,240 Speaker 9: it might be E. Coli or samonella or listeria. Those 339 00:14:43,280 --> 00:14:46,440 Speaker 9: are kind of very common bacteria that we hear about, 340 00:14:46,720 --> 00:14:51,440 Speaker 9: and those often take you know, maybe forty eight or 341 00:14:51,480 --> 00:14:54,920 Speaker 9: seventy two hours after eating something to actually start even 342 00:14:54,960 --> 00:14:57,200 Speaker 9: having symptoms, and it might be another week before someone 343 00:14:57,240 --> 00:14:59,680 Speaker 9: gets sick enough to go to the doctor, depending on 344 00:14:59,720 --> 00:15:00,920 Speaker 9: what the on what the illness is. 345 00:15:01,520 --> 00:15:03,440 Speaker 5: The timing here makes a lot more sense. I know, 346 00:15:03,480 --> 00:15:05,680 Speaker 5: Manny before it's talking about his doctor's telling me what 347 00:15:05,800 --> 00:15:06,360 Speaker 5: ten days. 348 00:15:07,600 --> 00:15:09,560 Speaker 3: Yeah, she was saying, like it could have been anything 349 00:15:09,560 --> 00:15:11,280 Speaker 3: in the past ten days. 350 00:15:10,800 --> 00:15:13,080 Speaker 5: Six to eight hours. That feels like the perfect times. 351 00:15:13,120 --> 00:15:15,240 Speaker 5: That's when I get food poisoning. That's the time table 352 00:15:15,240 --> 00:15:17,240 Speaker 5: to start settling in. Yeah, for dinner, and then the 353 00:15:17,240 --> 00:15:19,080 Speaker 5: middle of the night you're like, what's going on? 354 00:15:19,160 --> 00:15:22,560 Speaker 1: I mean, even lasteria can incubate for seventy days, which 355 00:15:22,560 --> 00:15:24,680 Speaker 1: is really crazy. It's not as easy as just going like, 356 00:15:24,720 --> 00:15:26,360 Speaker 1: what's the last thing you ate, which is obviously what 357 00:15:26,400 --> 00:15:29,200 Speaker 1: most people would do instinctively. We want to be something 358 00:15:29,240 --> 00:15:31,720 Speaker 1: you had literally months ago. Yeah, so I asked, what's 359 00:15:31,720 --> 00:15:34,880 Speaker 1: actually happening in the body during food poisoning. That's him 360 00:15:34,920 --> 00:15:36,280 Speaker 1: to go Osmosa Jones mode. 361 00:15:36,560 --> 00:15:42,680 Speaker 9: Yes, we start with the pathogenic KEY coli, and the 362 00:15:42,680 --> 00:15:44,360 Speaker 9: one that we worry about the. 363 00:15:44,280 --> 00:15:47,000 Speaker 7: Most is E. Coli on seven seven. 364 00:15:47,120 --> 00:15:50,240 Speaker 9: So essentially, what's happening is someone eats food that has 365 00:15:50,280 --> 00:15:54,480 Speaker 9: the pathogen in it. The pathogen passes through the stomach 366 00:15:54,880 --> 00:15:57,840 Speaker 9: and ends up getting to the intestines and that's the 367 00:15:57,960 --> 00:16:01,560 Speaker 9: right place for infection for that put to bacteria, and 368 00:16:02,280 --> 00:16:04,720 Speaker 9: the intestines are a really good environment for E. Coli 369 00:16:04,800 --> 00:16:08,640 Speaker 9: because we have nonpathogenic E. Coli in our body at 370 00:16:08,680 --> 00:16:12,560 Speaker 9: all times. Without having E. Coli in our intestines, we would. 371 00:16:12,320 --> 00:16:15,200 Speaker 7: Not digest food correctly. So we have this like kind. 372 00:16:15,080 --> 00:16:19,160 Speaker 9: Of rogue type of bacteria that's there that lives amongst 373 00:16:19,200 --> 00:16:22,440 Speaker 9: all the other E. Coli can then move in and 374 00:16:22,440 --> 00:16:25,800 Speaker 9: out of cells pretty easy, infects as it grows. A 375 00:16:25,840 --> 00:16:30,120 Speaker 9: byproduct of its growth, it's essentially the waste from the bacteria, 376 00:16:30,440 --> 00:16:33,920 Speaker 9: and so that toxin ends up going to the kidneys 377 00:16:34,120 --> 00:16:37,800 Speaker 9: and then damages kidney cells or ends up in the 378 00:16:37,840 --> 00:16:41,800 Speaker 9: bloodstream in the eyes and can create blood clots because 379 00:16:42,280 --> 00:16:44,520 Speaker 9: the body is trying to attack this toxin, and can 380 00:16:44,640 --> 00:16:47,680 Speaker 9: lead to blindness. 381 00:16:48,920 --> 00:16:51,640 Speaker 1: I asked how common this is, Going back to my question, 382 00:16:51,680 --> 00:16:53,760 Speaker 1: people throw this around all the time. I had food poisoning, 383 00:16:53,760 --> 00:16:54,880 Speaker 1: this that whatever. 384 00:16:55,200 --> 00:16:58,640 Speaker 9: We estimate that they're around forty eight to fifty million 385 00:16:58,680 --> 00:17:01,240 Speaker 9: cases of food borne illness in the US. If you 386 00:17:01,280 --> 00:17:03,640 Speaker 9: went across the population and ask people whether they had 387 00:17:03,720 --> 00:17:07,880 Speaker 9: an irregular bowel movement or if they felt nauseous, how 388 00:17:07,880 --> 00:17:10,640 Speaker 9: many times a year that might happen, you might see 389 00:17:10,720 --> 00:17:12,560 Speaker 9: the population might say three or four times a year. 390 00:17:12,560 --> 00:17:15,320 Speaker 9: I have that, but did not equate it to anything. 391 00:17:15,400 --> 00:17:17,720 Speaker 9: It's just I had the twenty four hour flu. And 392 00:17:17,880 --> 00:17:19,880 Speaker 9: what we don't know is how much of that is food. 393 00:17:19,640 --> 00:17:20,600 Speaker 7: Born and how much is not. 394 00:17:20,840 --> 00:17:25,080 Speaker 9: On average, somewhere in between one and six and one 395 00:17:25,119 --> 00:17:27,280 Speaker 9: in five people are going to get food borne illness 396 00:17:27,400 --> 00:17:30,440 Speaker 9: a year in the US, and the vast majority won't 397 00:17:30,480 --> 00:17:32,880 Speaker 9: equate it to something that they've eaten or maybe never 398 00:17:32,960 --> 00:17:35,480 Speaker 9: will be able to solve that down outbreak. It was 399 00:17:35,560 --> 00:17:37,520 Speaker 9: just something they were exposed to in the food supply. 400 00:17:38,880 --> 00:17:39,679 Speaker 1: It's pretty common. 401 00:17:39,840 --> 00:17:42,600 Speaker 3: This might be the earliest and in the episode's playtime 402 00:17:42,800 --> 00:17:45,960 Speaker 3: where the host has been wrong, I. 403 00:17:47,680 --> 00:17:49,520 Speaker 1: You know, I'm not gonna you know, I can't play 404 00:17:49,560 --> 00:17:49,960 Speaker 1: too long. 405 00:17:52,200 --> 00:17:55,160 Speaker 5: I'll say too like I've had food poisoning, but I've 406 00:17:55,200 --> 00:17:56,640 Speaker 5: never gone to the doctor for it. 407 00:17:56,680 --> 00:17:58,280 Speaker 4: So yeah, I'm unreported. 408 00:17:58,440 --> 00:18:01,159 Speaker 1: I'm assuming these numbers are more than just from the 409 00:18:01,200 --> 00:18:04,560 Speaker 1: hospital surveys and in real studies. But yeah, it's like 410 00:18:05,000 --> 00:18:07,720 Speaker 1: you could easily even if you were surveyed, you still might. 411 00:18:08,160 --> 00:18:10,520 Speaker 1: You wouldn't say necessarily you had food poisoning or food 412 00:18:10,560 --> 00:18:12,720 Speaker 1: born illness. Yeah, you might just be like, yeah, the 413 00:18:12,800 --> 00:18:13,840 Speaker 1: stomach bug or whatever. 414 00:18:14,080 --> 00:18:14,520 Speaker 4: Yeah. 415 00:18:14,560 --> 00:18:17,320 Speaker 1: My biggest question personally, well am I not getting it? 416 00:18:17,840 --> 00:18:17,959 Speaker 4: So? 417 00:18:18,119 --> 00:18:22,200 Speaker 9: Genetics is one how bacteria and viruses kind of attack 418 00:18:22,240 --> 00:18:24,560 Speaker 9: our body. There's lots of different ways. It really could 419 00:18:24,560 --> 00:18:26,720 Speaker 9: come down to the shape of the receptors on a 420 00:18:26,760 --> 00:18:29,520 Speaker 9: specific cell in my body is different from yours, and 421 00:18:29,520 --> 00:18:32,879 Speaker 9: that that virus only wants to unlock that receptor. We 422 00:18:32,920 --> 00:18:35,520 Speaker 9: could be eating the same food in genetics wise, I'm 423 00:18:35,560 --> 00:18:37,640 Speaker 9: more predisposed to it than you are. 424 00:18:38,040 --> 00:18:38,760 Speaker 7: Then there's a. 425 00:18:38,760 --> 00:18:43,520 Speaker 9: Whole other area of how much and what kind of 426 00:18:44,240 --> 00:18:47,080 Speaker 9: bacteria or virus is there. There aren't a lot of 427 00:18:47,080 --> 00:18:51,280 Speaker 9: foods that we eat that I would say are evenly homogeneous, 428 00:18:51,680 --> 00:18:54,399 Speaker 9: the exact same amount of the same thing all over it, 429 00:18:54,440 --> 00:18:56,600 Speaker 9: Like every episode of tastes the same because it's the 430 00:18:56,720 --> 00:18:58,440 Speaker 9: same all through. But we don't eat a lot of 431 00:18:58,480 --> 00:19:00,000 Speaker 9: foods that are like that. Every bite is a little 432 00:19:00,080 --> 00:19:03,480 Speaker 9: bit different. And where bacteria and viruses go is also 433 00:19:03,560 --> 00:19:06,920 Speaker 9: not homogeneous, so they could be concentrated in certain areas. 434 00:19:07,160 --> 00:19:09,600 Speaker 9: The type of food we eat, how much of it, 435 00:19:09,840 --> 00:19:11,960 Speaker 9: that's also a big factor. And then I would say 436 00:19:11,960 --> 00:19:15,000 Speaker 9: the third big factor is whether either of us have 437 00:19:15,080 --> 00:19:18,280 Speaker 9: been exposed to that bacteria or virus before and we 438 00:19:18,359 --> 00:19:20,160 Speaker 9: have acquired immunity. 439 00:19:20,280 --> 00:19:22,200 Speaker 7: And there's some really really. 440 00:19:21,920 --> 00:19:24,479 Speaker 9: Good historical data on this, like people who grew up 441 00:19:24,520 --> 00:19:28,120 Speaker 9: on dairy farms, for instance, are way way, way less 442 00:19:28,119 --> 00:19:32,919 Speaker 9: susceptible to EQUALIE contamination because they lived in an environment 443 00:19:32,960 --> 00:19:35,080 Speaker 9: that where there was equali all the time, and maybe 444 00:19:35,080 --> 00:19:37,040 Speaker 9: they got sick and exposed when they were two or 445 00:19:37,040 --> 00:19:39,720 Speaker 9: three years old and they have immunity to it because 446 00:19:39,720 --> 00:19:40,000 Speaker 9: of that. 447 00:19:40,600 --> 00:19:43,160 Speaker 3: There was a lot in there. But it did answer 448 00:19:43,160 --> 00:19:45,879 Speaker 3: one of my burning questions, which was, you know, if 449 00:19:46,000 --> 00:19:49,119 Speaker 3: Devin and I split a burrito, is it possible that 450 00:19:49,160 --> 00:19:52,400 Speaker 3: he could get food poisoning from it and I couldn't. 451 00:19:53,200 --> 00:19:56,040 Speaker 3: And the answers yes, it seems like, yeah. 452 00:19:56,000 --> 00:19:58,239 Speaker 1: So it could be because you got lucky with your 453 00:19:58,240 --> 00:20:01,159 Speaker 1: bites or simply you're built different. Yeah, which seems to 454 00:20:01,160 --> 00:20:04,240 Speaker 1: be my life. But yeah, yeah, I think so safe 455 00:20:04,240 --> 00:20:07,800 Speaker 1: to say. So. Now, I did ask about when people 456 00:20:07,840 --> 00:20:11,280 Speaker 1: do react immediately, because he said, you know, most of 457 00:20:11,320 --> 00:20:14,639 Speaker 1: these have incubation periods that are at least a few hours, 458 00:20:14,760 --> 00:20:17,720 Speaker 1: if not days or weeks or months. So I asked, 459 00:20:17,720 --> 00:20:20,159 Speaker 1: you know, what is it when people do react immediately 460 00:20:20,240 --> 00:20:21,760 Speaker 1: like you mentioned with your egg plant pizza. 461 00:20:21,920 --> 00:20:23,960 Speaker 4: To be fair, I said, I did not think it was. 462 00:20:23,560 --> 00:20:26,919 Speaker 1: Yeah, let's let me be clear, but you said you 463 00:20:26,920 --> 00:20:28,840 Speaker 1: were eating it and you were like, this feels allthing 464 00:20:28,960 --> 00:20:30,640 Speaker 1: right right before you even had a. 465 00:20:30,600 --> 00:20:32,840 Speaker 4: Reaction, yes, right, and my mouth felt weird. 466 00:20:33,040 --> 00:20:35,640 Speaker 9: Probably the number one misconception is that the last thing 467 00:20:35,680 --> 00:20:37,399 Speaker 9: I ate is what made me sick, right, And you 468 00:20:37,480 --> 00:20:40,120 Speaker 9: kind of hear it all the time in conversations where 469 00:20:40,119 --> 00:20:41,800 Speaker 9: it's like, I'm not going to eat at X restaurant 470 00:20:41,800 --> 00:20:44,200 Speaker 9: again because man, I was terrible. I went home and 471 00:20:44,240 --> 00:20:46,960 Speaker 9: all night I you know, I had diarrhea or vomit 472 00:20:47,080 --> 00:20:50,440 Speaker 9: or whatever. The misconception there is that most food born 473 00:20:50,440 --> 00:20:55,000 Speaker 9: illnesses take at least twenty four hours before like from 474 00:20:55,040 --> 00:20:58,440 Speaker 9: exposure to test symptoms, and so you've got to think 475 00:20:58,480 --> 00:21:00,280 Speaker 9: back to like, well, what I e two days ago, 476 00:21:00,440 --> 00:21:02,639 Speaker 9: and oh, like, should I've eaten a lot of stuff 477 00:21:02,680 --> 00:21:05,200 Speaker 9: over the last two days. That being said, there are 478 00:21:05,640 --> 00:21:08,760 Speaker 9: cases where people get sick very quickly, within thirty minutes. 479 00:21:09,000 --> 00:21:12,440 Speaker 9: It's just not bacterial or viral. It's a chemical contaminant. 480 00:21:12,760 --> 00:21:17,399 Speaker 9: We've seen cases where someone may have inadvertently used like 481 00:21:17,440 --> 00:21:21,879 Speaker 9: a cleaning chemical in food. And the difference there is 482 00:21:22,040 --> 00:21:25,600 Speaker 9: there's often reports of it tasted bad too. Yeah, like 483 00:21:25,800 --> 00:21:28,800 Speaker 9: there was something I detected sensory wise that was off 484 00:21:28,800 --> 00:21:32,160 Speaker 9: with this food and it led to an illness. 485 00:21:32,280 --> 00:21:35,800 Speaker 7: That's like usually the case. So if it was a 486 00:21:35,880 --> 00:21:38,680 Speaker 7: toxin or a chemical. Yeah, it could be very quick. 487 00:21:38,840 --> 00:21:42,639 Speaker 3: So Devin innocent, vindicated, but not for the reason we thought. 488 00:21:43,240 --> 00:21:43,440 Speaker 4: Yeah. 489 00:21:44,560 --> 00:21:46,680 Speaker 1: Yeah, and you know, it's food poisoning in a sense, 490 00:21:46,800 --> 00:21:48,560 Speaker 1: just not your yeah plastic, you. 491 00:21:48,600 --> 00:21:51,879 Speaker 3: Got poisoned from food, but yeah, not necessarily bacterial. 492 00:21:53,119 --> 00:21:55,040 Speaker 1: So now I want to take a step back. We've 493 00:21:55,119 --> 00:21:59,200 Speaker 1: kind of gone deep inside the food poisoning process. Yeah, 494 00:21:59,240 --> 00:22:00,960 Speaker 1: but now I want to see how it spreads on 495 00:22:01,000 --> 00:22:06,560 Speaker 1: the larger spectrum, how these outbreaks occur. So after the break, 496 00:22:06,720 --> 00:22:09,439 Speaker 1: we find out where food borne illness comes from and 497 00:22:09,520 --> 00:22:11,240 Speaker 1: talk to a lawyer who took on a fast food 498 00:22:11,240 --> 00:22:13,199 Speaker 1: giant to change the game as we know it. 499 00:22:13,359 --> 00:22:13,800 Speaker 2: Mmmm. 500 00:22:27,520 --> 00:22:30,960 Speaker 8: Health officials say people infected with the E. Coli bacteria 501 00:22:31,160 --> 00:22:34,680 Speaker 8: maybe unknowingly infecting others. More than one hundred and fifty 502 00:22:34,680 --> 00:22:37,200 Speaker 8: people have become ill after eating tainted hamburger meat a 503 00:22:37,280 --> 00:22:40,040 Speaker 8: Jack in the Box restaurant in Idaho and Washington State. 504 00:22:40,359 --> 00:22:41,600 Speaker 7: One child has died. 505 00:22:42,760 --> 00:22:46,200 Speaker 6: My name is Bill Marler. I'm a food safety attorney 506 00:22:46,240 --> 00:22:50,000 Speaker 6: based on Bambridge Island, Washington, which is a ferry ride 507 00:22:50,000 --> 00:22:52,200 Speaker 6: away from Seattle. By the time the Jack the Marx 508 00:22:52,320 --> 00:22:57,200 Speaker 6: case was over, I knew more about food safety litigation. 509 00:22:57,440 --> 00:23:00,600 Speaker 6: I knew more about E. Coli than you know any 510 00:23:00,680 --> 00:23:01,880 Speaker 6: lawyer in the world. 511 00:23:02,440 --> 00:23:04,879 Speaker 1: To sum it up very briefly, Jack in the Box 512 00:23:04,920 --> 00:23:07,160 Speaker 1: restaurants were linked to an equal lay outbreak in early 513 00:23:07,160 --> 00:23:10,240 Speaker 1: in nineteen ninety three, the largest outbreak ever documented in 514 00:23:10,280 --> 00:23:11,200 Speaker 1: the US at the time. 515 00:23:12,720 --> 00:23:15,440 Speaker 6: Ultimately, there were over six hundred and fifty people sick, 516 00:23:15,480 --> 00:23:19,880 Speaker 6: and four children died. About seventy five suffered acute kidney failure. 517 00:23:20,200 --> 00:23:23,520 Speaker 6: Hundreds and hundreds of people were hospitalized. In many respects, 518 00:23:23,560 --> 00:23:27,520 Speaker 6: you could liken the Seattle area were like a war zone. 519 00:23:27,560 --> 00:23:30,359 Speaker 6: You know, there were more kids in the hospital than 520 00:23:30,400 --> 00:23:32,040 Speaker 6: there were dialysis machines. 521 00:23:32,840 --> 00:23:35,439 Speaker 1: It turns out Jack in the Box wasn't consistently cooking 522 00:23:35,480 --> 00:23:38,560 Speaker 1: their hamburgers to the recommended internal temperature. There was a 523 00:23:38,560 --> 00:23:41,600 Speaker 1: major investigation, and Bill Marler's lawsuit on behalf of the 524 00:23:41,680 --> 00:23:43,960 Speaker 1: victims secured what was at the time the largest ever 525 00:23:44,000 --> 00:23:47,320 Speaker 1: settlement related to food borne illness, over fifty million dollars. 526 00:23:48,359 --> 00:23:50,720 Speaker 1: It also led to a few major food safety outcomes. 527 00:23:51,200 --> 00:23:54,720 Speaker 1: Freshly inaugurated President Bill Clinton ushered in new regulations requiring 528 00:23:54,720 --> 00:23:57,760 Speaker 1: the USDA to test samples of RAGROUNB for equal one 529 00:23:57,760 --> 00:23:59,840 Speaker 1: to five to seven, which was now declared in adults. 530 00:24:00,320 --> 00:24:02,240 Speaker 1: That means if it's found in the product, it cannot 531 00:24:02,280 --> 00:24:06,280 Speaker 1: be sold. The FDA increased recommended internal temperatures for hamburgers 532 00:24:06,320 --> 00:24:10,600 Speaker 1: from one hundred and fifty five degrees fahrenheit and one 533 00:24:10,640 --> 00:24:13,760 Speaker 1: to five to seven. Infection became a reportable disease, meaning 534 00:24:13,800 --> 00:24:16,200 Speaker 1: all cases must be reported to the government to then 535 00:24:16,240 --> 00:24:18,680 Speaker 1: be monitored for a larger outbreak. Due to the work 536 00:24:18,680 --> 00:24:21,159 Speaker 1: of Bill Marler and others, E Coli outbreaks connected to 537 00:24:21,160 --> 00:24:24,720 Speaker 1: beef in the US have effectively gone down to zero. 538 00:24:29,760 --> 00:24:32,560 Speaker 1: That's in a nutshell Bill's story and how he got 539 00:24:32,600 --> 00:24:34,760 Speaker 1: into it, and now he's just a food safety guy. 540 00:24:35,280 --> 00:24:37,480 Speaker 1: So I asked, from a legal standpoint, how Bill goes 541 00:24:37,480 --> 00:24:39,920 Speaker 1: about tracing an outbreak, And things have changed a lot 542 00:24:39,960 --> 00:24:42,639 Speaker 1: since the nineties, just the technology and science behind it. 543 00:24:42,880 --> 00:24:45,879 Speaker 6: So I spend a lot of my time doing the 544 00:24:45,920 --> 00:24:50,120 Speaker 6: epidemiology of figuring out an outbreak. I think I may 545 00:24:50,160 --> 00:24:53,960 Speaker 6: be the only lawyer in the world who has an epidemiologist, 546 00:24:53,960 --> 00:24:56,480 Speaker 6: and I actually have three on my staff. I kind 547 00:24:56,480 --> 00:25:00,359 Speaker 6: of look at ourselves as a health department with a 548 00:25:00,400 --> 00:25:04,320 Speaker 6: prosecuting attorney attached to it. We figure out can we 549 00:25:04,320 --> 00:25:07,720 Speaker 6: connect up this person, and then can we connect it 550 00:25:07,840 --> 00:25:10,560 Speaker 6: up to a product, And then my job is to 551 00:25:10,840 --> 00:25:13,840 Speaker 6: go after that company and make sure that they do 552 00:25:13,960 --> 00:25:21,800 Speaker 6: right by my client and don't poison people again. I 553 00:25:21,840 --> 00:25:25,040 Speaker 6: got called by a father of a child who had 554 00:25:25,040 --> 00:25:28,520 Speaker 6: a very severe about of equali. The kid's kidney function 555 00:25:28,600 --> 00:25:31,760 Speaker 6: he's four years old, is about forty percent right now, 556 00:25:31,800 --> 00:25:34,840 Speaker 6: so the likelihood of him losing his kidneys in his 557 00:25:34,960 --> 00:25:39,200 Speaker 6: teens is pretty high. He had whole genome sequencing done, 558 00:25:39,960 --> 00:25:44,040 Speaker 6: but he was not a match to anything. And the 559 00:25:44,080 --> 00:25:46,560 Speaker 6: public has access to this database where if you know 560 00:25:47,480 --> 00:25:52,040 Speaker 6: the genetic fingerprint number of that particular person, you can 561 00:25:52,080 --> 00:25:55,560 Speaker 6: plug it into a database and it'll populate a whole 562 00:25:55,600 --> 00:25:58,320 Speaker 6: genome sequence tree, so you can look to see whether 563 00:25:58,400 --> 00:26:01,000 Speaker 6: or not they're linked to anything. And here the kid 564 00:26:01,119 --> 00:26:05,119 Speaker 6: no outbreak. So I was like, well, that's just, you know, sucks, 565 00:26:05,480 --> 00:26:07,760 Speaker 6: and I can't figure this out. So I was talking 566 00:26:07,800 --> 00:26:10,879 Speaker 6: to the family and figuring out, like what other possible 567 00:26:11,359 --> 00:26:15,199 Speaker 6: potential sources there were, And I asked him if they 568 00:26:15,200 --> 00:26:18,040 Speaker 6: had any animals and he says, we had a dog, 569 00:26:18,800 --> 00:26:20,720 Speaker 6: and I'm like, well, what did you feed the dog? 570 00:26:21,160 --> 00:26:24,879 Speaker 6: And he said, well, we fed him Darwin raw dog food, 571 00:26:25,040 --> 00:26:28,400 Speaker 6: and I'm like, h Darwin raw dog food has had 572 00:26:28,440 --> 00:26:32,280 Speaker 6: problems in the past with bacterial contamination. So we had 573 00:26:32,280 --> 00:26:36,440 Speaker 6: it tested by an FDA certified lab and it came 574 00:26:36,480 --> 00:26:39,919 Speaker 6: back positive for E. Coli and two forms of salmonella. 575 00:26:40,160 --> 00:26:43,840 Speaker 6: E coli was a genetic match to the kid, and 576 00:26:43,960 --> 00:26:46,800 Speaker 6: that I turned that material over both to the company 577 00:26:46,840 --> 00:26:50,560 Speaker 6: and to the FDA, and the FDA did an investigation 578 00:26:51,280 --> 00:26:54,199 Speaker 6: concluded the same thing. I concluded that the cause of 579 00:26:54,240 --> 00:26:57,159 Speaker 6: the outbreak, or cause of this kid's illness was the 580 00:26:57,200 --> 00:26:59,840 Speaker 6: dog food. And you know it's likely that dog ate 581 00:26:59,840 --> 00:27:03,040 Speaker 6: the food, the dog licked the kid. You know, that 582 00:27:03,119 --> 00:27:05,040 Speaker 6: kind of stuff happened. So a lot of times I 583 00:27:05,119 --> 00:27:08,040 Speaker 6: figure these outbreaks out on my own. 584 00:27:13,119 --> 00:27:16,160 Speaker 1: We heard how the cole I and ground beef has 585 00:27:16,200 --> 00:27:18,840 Speaker 1: basically become a non issue now after the Jack in 586 00:27:18,880 --> 00:27:21,400 Speaker 1: the Box lawsuit. But there's a lot of frustration now 587 00:27:21,440 --> 00:27:23,879 Speaker 1: we haven't had the same level of action on other issues, 588 00:27:23,920 --> 00:27:26,040 Speaker 1: like salmonella in chicken, which is a common one you 589 00:27:26,040 --> 00:27:28,639 Speaker 1: hear about. Yeah, so here's Bill talking about that. 590 00:27:29,400 --> 00:27:32,280 Speaker 6: I've repeatedly been beating my head against the wall for 591 00:27:32,359 --> 00:27:34,840 Speaker 6: twenty years to try to get some movement there, but 592 00:27:34,920 --> 00:27:40,639 Speaker 6: you know, it's completely completely legal to sell salmonil attained chicken. 593 00:27:40,720 --> 00:27:44,000 Speaker 6: It's the rationale. Well, the housewives or the house husbands 594 00:27:44,000 --> 00:27:47,840 Speaker 6: nowadays are responsible for handling the product, like you know, 595 00:27:47,880 --> 00:27:51,320 Speaker 6: it's a nuclear weapon. Over half of salmonella cases in 596 00:27:51,359 --> 00:27:54,359 Speaker 6: the United States are caused by chicken. That's one point 597 00:27:54,400 --> 00:27:58,679 Speaker 6: three million Americans every are sickened by salmonilla. 598 00:27:58,720 --> 00:27:59,280 Speaker 7: It's crazy. 599 00:27:59,400 --> 00:28:01,720 Speaker 1: How does the U stock up against Europe or elsewhere 600 00:28:01,760 --> 00:28:02,240 Speaker 1: in the world. 601 00:28:02,600 --> 00:28:06,240 Speaker 6: It's not like Europe has not had some significant outbreaks, 602 00:28:06,320 --> 00:28:09,480 Speaker 6: but you know, for salmonella, they just said, we just 603 00:28:09,520 --> 00:28:13,520 Speaker 6: won't have salmonella or camflo bacter, which is generally also 604 00:28:13,520 --> 00:28:16,560 Speaker 6: found with chicken. What they do in Europe is if 605 00:28:16,600 --> 00:28:21,560 Speaker 6: there's a flock of birds that have salmonella, they'll eradicate 606 00:28:21,600 --> 00:28:23,800 Speaker 6: that flock. It's not like we don't do that here. 607 00:28:24,200 --> 00:28:26,439 Speaker 6: We eradicate flocks all the time, but it's usually for 608 00:28:26,560 --> 00:28:30,879 Speaker 6: bird flu ye. But in you know, EU, UK they 609 00:28:30,920 --> 00:28:35,000 Speaker 6: eradicate flocks. They also vaccinate animals. We think that that's 610 00:28:35,560 --> 00:28:39,120 Speaker 6: too expensive. So what happens is you have to assume 611 00:28:39,160 --> 00:28:42,240 Speaker 6: that every chicken you buy in a grocery store is 612 00:28:42,280 --> 00:28:46,800 Speaker 6: contaminated with salmonella and and or cam flobactor or both, 613 00:28:47,200 --> 00:28:49,400 Speaker 6: and you're likely right, but you know, we could do 614 00:28:49,520 --> 00:28:52,760 Speaker 6: way more. We finally got a little piece of legislation 615 00:28:53,400 --> 00:28:57,280 Speaker 6: banning salmonella in certain chicken products that went into effect 616 00:28:57,520 --> 00:29:01,600 Speaker 6: in the Biden administration, and then the Trump administration killed it. 617 00:29:01,800 --> 00:29:05,280 Speaker 6: I remember years ago when the ecoli was listed as 618 00:29:05,280 --> 00:29:08,080 Speaker 6: adulter in the industry was like, Oh my god, Hamburger's 619 00:29:08,120 --> 00:29:10,040 Speaker 6: going to cost way too much. 620 00:29:10,080 --> 00:29:12,360 Speaker 4: It's like the world's going to fall. Oh my god, 621 00:29:12,480 --> 00:29:13,600 Speaker 4: it's terrible. It's terrible. 622 00:29:14,080 --> 00:29:16,440 Speaker 6: You know, it's consumers, they should deal with it. And 623 00:29:16,960 --> 00:29:21,600 Speaker 6: you know, it all worked out. There are tens of thousands, 624 00:29:22,000 --> 00:29:25,560 Speaker 6: maybe hundreds of thousands, and probably now by now millions 625 00:29:25,560 --> 00:29:30,600 Speaker 6: of people who did not get sick because of ecola 626 00:29:30,640 --> 00:29:35,040 Speaker 6: as an adulterate and increased cook temperatures on red meat. 627 00:29:35,280 --> 00:29:37,800 Speaker 6: It's crazy that you wouldn't sit that, sit back and 628 00:29:37,840 --> 00:29:40,480 Speaker 6: look at it and go, huh, maybe we should do 629 00:29:40,520 --> 00:29:44,120 Speaker 6: that too. But there's just so much inertia on the 630 00:29:44,160 --> 00:29:47,280 Speaker 6: part of industry, so much inertia on the part of 631 00:29:47,800 --> 00:29:54,480 Speaker 6: government to actually solve these problems. And I don't know, 632 00:29:54,800 --> 00:29:57,640 Speaker 6: I don't know there's a level of frustration that I 633 00:29:57,680 --> 00:30:03,680 Speaker 6: still have that I just uh, yeah, it's I yeah, 634 00:30:03,800 --> 00:30:07,120 Speaker 6: it's it's really sometimes very frustrating. 635 00:30:07,600 --> 00:30:10,400 Speaker 3: Yeah, it's such an uphill battle, I think when you're 636 00:30:10,400 --> 00:30:13,480 Speaker 3: trying to convince like a population to do something, but 637 00:30:13,640 --> 00:30:17,360 Speaker 3: your proof is that something won't happen if you do 638 00:30:17,440 --> 00:30:20,840 Speaker 3: it right, like he will, like they want to pass 639 00:30:20,880 --> 00:30:23,280 Speaker 3: better protections on this, on this kind of stuff, but 640 00:30:23,360 --> 00:30:25,360 Speaker 3: like you know, the proof would be that you didn't 641 00:30:25,360 --> 00:30:27,160 Speaker 3: get sick, and then you're just someone could be like, well, 642 00:30:27,160 --> 00:30:29,160 Speaker 3: I wasn't gonna get sick anyway. We're just lucky that 643 00:30:29,520 --> 00:30:32,920 Speaker 3: people don't really want raw or like rare chick the 644 00:30:32,920 --> 00:30:33,440 Speaker 3: way we do. 645 00:30:33,440 --> 00:30:34,360 Speaker 1: With a steak or something. 646 00:30:35,400 --> 00:30:37,240 Speaker 3: If someone goes to a restaurant at a steak or 647 00:30:37,280 --> 00:30:40,720 Speaker 3: a burger, like I know Noah enjoys a medium rare 648 00:30:41,160 --> 00:30:41,680 Speaker 3: even rare. 649 00:30:42,040 --> 00:30:48,760 Speaker 1: Yeah, but the meat it's fine, hamburg the ground beach 650 00:30:48,840 --> 00:30:50,440 Speaker 1: is not really an issue so much. And then I 651 00:30:50,720 --> 00:30:52,880 Speaker 1: do ask kind of rapid fire to kind of go 652 00:30:52,920 --> 00:30:54,520 Speaker 1: through a bunch of these things because I was like, 653 00:30:55,200 --> 00:30:57,760 Speaker 1: I was scared to ask these guys if it's okay 654 00:30:57,800 --> 00:31:03,280 Speaker 1: for me to order our rare stick. We're gonna take 655 00:31:03,320 --> 00:31:06,120 Speaker 1: a quick break, and when we're back, we conclude our 656 00:31:06,400 --> 00:31:19,840 Speaker 1: episode with some rapid fire food safety questions. So I 657 00:31:19,880 --> 00:31:22,880 Speaker 1: went back to Ben Chapman, our food safety expert from 658 00:31:23,280 --> 00:31:25,600 Speaker 1: North Carolina State, to kind of run through a list 659 00:31:25,640 --> 00:31:29,000 Speaker 1: of problematic foods to see where he stands. 660 00:31:33,120 --> 00:31:33,600 Speaker 4: Sushi. 661 00:31:33,880 --> 00:31:36,560 Speaker 9: How big of a risk is that restaurants are required 662 00:31:36,680 --> 00:31:41,440 Speaker 9: to do parasite destruction in raw fish, specifically if it's 663 00:31:41,480 --> 00:31:43,960 Speaker 9: gonna be served raw, so that means that it's got 664 00:31:44,000 --> 00:31:48,120 Speaker 9: to be frozen usually or some other mechanism before consumption, 665 00:31:48,720 --> 00:31:51,600 Speaker 9: and parasites are the issue with sushi. 666 00:31:52,720 --> 00:31:56,160 Speaker 1: Next, like beef tartar or even just a very rare 667 00:31:56,640 --> 00:31:57,479 Speaker 1: steak or burger. 668 00:31:58,160 --> 00:32:01,640 Speaker 9: So beef tartar is just ground up meat, I would 669 00:32:01,640 --> 00:32:04,120 Speaker 9: say that's one of the most riskiest things you can eat, 670 00:32:04,360 --> 00:32:07,360 Speaker 9: and especially tartar, which if it was ground beef that 671 00:32:07,440 --> 00:32:10,760 Speaker 9: was sold in the US, that has a testing regime 672 00:32:10,840 --> 00:32:14,200 Speaker 9: associated with it to make sure before it's released that 673 00:32:14,440 --> 00:32:17,280 Speaker 9: there aren't pathogens in it. Tartar doesn't go through that. 674 00:32:17,320 --> 00:32:19,280 Speaker 9: You're starting with like a whole muscle and you're cutting 675 00:32:19,280 --> 00:32:22,200 Speaker 9: it up or grinding it and making it. Moving to 676 00:32:22,280 --> 00:32:24,400 Speaker 9: the next one that you mentioned, was like a rare steak. 677 00:32:24,440 --> 00:32:27,560 Speaker 9: I eat rare steak on a weekly basis. The pathogens 678 00:32:27,600 --> 00:32:31,040 Speaker 9: would be on the outside, so searing the muscle on 679 00:32:31,080 --> 00:32:34,960 Speaker 9: the inside, it's essentially sterile, and then undercooked or rare 680 00:32:34,960 --> 00:32:37,840 Speaker 9: hamburger is like somewhere in the middle where there's a 681 00:32:37,880 --> 00:32:40,600 Speaker 9: little bit of protection. When it comes to ground beef, 682 00:32:40,840 --> 00:32:44,560 Speaker 9: it's getting cooked a little bit, but who knows how much. 683 00:32:44,840 --> 00:32:48,360 Speaker 9: And so I'm a fan of temperature specifically, so I'm 684 00:32:48,400 --> 00:32:50,760 Speaker 9: looking for like one hundred and fifty five degrees fahrenheit. 685 00:32:50,880 --> 00:32:53,520 Speaker 9: If it's a steak, I'm probably cooking my steak to 686 00:32:53,560 --> 00:32:56,120 Speaker 9: like one hundred and twenty degrees. That very outside of 687 00:32:56,160 --> 00:32:58,800 Speaker 9: it is probably getting into four hundred and killing everything, Okay, 688 00:32:58,920 --> 00:33:01,880 Speaker 9: And then tartar is something that I think is really risky. 689 00:33:04,240 --> 00:33:06,320 Speaker 1: Next, I asked about oysters, because you know, once in 690 00:33:06,320 --> 00:33:08,320 Speaker 1: a while I see a story and it's like oysters 691 00:33:08,360 --> 00:33:11,240 Speaker 1: the most dangerous thing you can eat. Yeah, people just died. Yeah, 692 00:33:11,320 --> 00:33:13,920 Speaker 1: And I'm like, okay, well, I see oysters all the 693 00:33:13,960 --> 00:33:16,440 Speaker 1: time from places that I don't think frankly should be 694 00:33:16,480 --> 00:33:19,440 Speaker 1: serving oysters. That's all year round, all this stuff. So 695 00:33:19,480 --> 00:33:20,800 Speaker 1: I was like, all right, I need I need this, 696 00:33:20,880 --> 00:33:21,920 Speaker 1: gotta tell me what's up. 697 00:33:22,280 --> 00:33:25,000 Speaker 9: Raw oysters are among the riskiest things that we have. 698 00:33:25,600 --> 00:33:27,880 Speaker 9: Many of the cases that we see when it comes 699 00:33:27,960 --> 00:33:32,240 Speaker 9: to oyster illnesses or things like the pathogens called vibrio. 700 00:33:33,000 --> 00:33:37,800 Speaker 9: Often people are predisposed to bibrial illnesses if they are aging, 701 00:33:38,160 --> 00:33:41,480 Speaker 9: if they are heavy drinkers, and they have liver issues, 702 00:33:42,040 --> 00:33:44,840 Speaker 9: and weirdly that is a factor for people getting sick 703 00:33:44,880 --> 00:33:47,920 Speaker 9: from raw oysters. Is someone who consumes a lot of 704 00:33:47,920 --> 00:33:51,880 Speaker 9: alcohol and then is exposing themselves to these pathogens. 705 00:33:52,000 --> 00:33:53,960 Speaker 4: So I have to style getting oysters, is what he's 706 00:33:53,960 --> 00:33:54,360 Speaker 4: telling me. 707 00:33:56,160 --> 00:33:59,400 Speaker 1: I think overall, you're okay, especially if you're not predisposed 708 00:33:59,480 --> 00:34:02,840 Speaker 1: per se on that aging And yeah, and if you're 709 00:34:03,520 --> 00:34:05,720 Speaker 1: I guess maybe the advice would be trying to find 710 00:34:06,000 --> 00:34:08,200 Speaker 1: oysters that are actually local and not shipped across the 711 00:34:08,239 --> 00:34:11,239 Speaker 1: country or something like that, so hopefully they're fresh. So yeah, 712 00:34:11,239 --> 00:34:13,640 Speaker 1: I wanted to ask about leftover rice. There's another one 713 00:34:13,680 --> 00:34:15,800 Speaker 1: where I was like, this one's just is crazy because 714 00:34:16,560 --> 00:34:20,399 Speaker 1: more than anything oysters. Of course, I believe people get 715 00:34:20,440 --> 00:34:23,120 Speaker 1: sick from this, but yeah, you see them all the time, 716 00:34:23,160 --> 00:34:25,600 Speaker 1: but it's not like an everyday occurrence. Left the rice 717 00:34:25,600 --> 00:34:26,640 Speaker 1: people are eating all the time. 718 00:34:26,719 --> 00:34:28,880 Speaker 4: I haere yesterday. 719 00:34:29,080 --> 00:34:31,759 Speaker 9: Yeah, yeah, I think it's a really big social media issue. 720 00:34:31,800 --> 00:34:32,000 Speaker 4: Yeah. 721 00:34:32,040 --> 00:34:35,880 Speaker 9: The entire leftover rice controversy or issues come from an 722 00:34:35,920 --> 00:34:40,520 Speaker 9: actual true story where someone got sick from eating leftover rice. 723 00:34:40,760 --> 00:34:44,200 Speaker 9: This the illness was associated with something called basill is serious. 724 00:34:44,280 --> 00:34:48,000 Speaker 9: The bacteria survives as a spore with dry rice, and 725 00:34:48,080 --> 00:34:49,800 Speaker 9: so most of our rice has basilli. 726 00:34:49,800 --> 00:34:50,719 Speaker 7: Is serious in it. 727 00:34:51,200 --> 00:34:56,120 Speaker 9: The spore wakes up during cooking, which is counterintuitive, right. 728 00:34:56,200 --> 00:34:59,400 Speaker 9: It has to be heat treated to essentially shock it awake. 729 00:35:00,080 --> 00:35:06,239 Speaker 9: And then if rice is stored incorrectly after cooking, it 730 00:35:06,280 --> 00:35:08,560 Speaker 9: can grow. And in fact, that is really the issue 731 00:35:08,560 --> 00:35:11,040 Speaker 9: with leftover rice. It has nothing to do with leftovers. 732 00:35:11,520 --> 00:35:13,600 Speaker 9: And and in fact, the case that drew this was 733 00:35:13,760 --> 00:35:18,000 Speaker 9: someone left rice on their countertop for two days after 734 00:35:18,480 --> 00:35:23,279 Speaker 9: making it and that's like not a good idea for 735 00:35:23,320 --> 00:35:25,520 Speaker 9: any food, and then took it and put it in 736 00:35:25,520 --> 00:35:27,640 Speaker 9: the refrigerator and a couple of days later ate it, 737 00:35:28,040 --> 00:35:29,279 Speaker 9: and the story became. 738 00:35:29,000 --> 00:35:30,040 Speaker 7: Well, they ate leftover rice. 739 00:35:30,120 --> 00:35:34,000 Speaker 9: It's like true, they did, but the leftover wasn't the 740 00:35:34,000 --> 00:35:36,880 Speaker 9: factor that it was post cooking leaving it on the countertop. 741 00:35:37,000 --> 00:35:39,960 Speaker 7: Yes, And so essentially yeah. 742 00:35:39,920 --> 00:35:42,960 Speaker 9: In that you're you provided the perfect environment for the 743 00:35:43,000 --> 00:35:45,760 Speaker 9: bacterial to grow. I eat a lot of leftover rice. 744 00:35:46,080 --> 00:35:48,960 Speaker 9: I will eat it on a weekly basis. I cook 745 00:35:49,080 --> 00:35:51,319 Speaker 9: rice and then I put it in the refrigerator right away, 746 00:35:51,440 --> 00:35:54,719 Speaker 9: and then I might eat leftover rice for a week afterwards. 747 00:35:55,000 --> 00:35:57,400 Speaker 9: So it's not a time factor once it's in my refrigerator. 748 00:35:57,440 --> 00:35:59,759 Speaker 9: It's really about how quickly I get it in the 749 00:36:00,200 --> 00:36:01,200 Speaker 9: drinder after I make it. 750 00:36:01,239 --> 00:36:03,920 Speaker 1: And the last one was about washing chicken. 751 00:36:04,440 --> 00:36:04,880 Speaker 4: Mmmmm. 752 00:36:05,239 --> 00:36:08,200 Speaker 1: So here's what Ben had to say about washing chicken. 753 00:36:10,560 --> 00:36:12,880 Speaker 7: We did a lot of research on this issue. 754 00:36:12,960 --> 00:36:16,120 Speaker 9: We actually brought people from the community in to prepare 755 00:36:16,200 --> 00:36:19,880 Speaker 9: chicken who identified themselves as someone who washes chicken, so 756 00:36:19,920 --> 00:36:22,960 Speaker 9: we better understand what happens during that process. And what 757 00:36:23,000 --> 00:36:26,239 Speaker 9: we've learned is why people wash chicken is because they 758 00:36:26,239 --> 00:36:30,600 Speaker 9: think that they're removing something. Some people think they're removing bacteria. 759 00:36:30,880 --> 00:36:34,319 Speaker 9: Some people think they're removing slime. Yeah, all of those 760 00:36:34,400 --> 00:36:36,960 Speaker 9: things are taken care of during the cooking process, and 761 00:36:37,000 --> 00:36:40,719 Speaker 9: so washing can only increase risk. When you're washing it, 762 00:36:40,760 --> 00:36:44,359 Speaker 9: you're taking the bacteria that is on the outside and 763 00:36:44,400 --> 00:36:47,799 Speaker 9: you are depositing it somewhere in your kitchen, whether it's 764 00:36:47,800 --> 00:36:51,160 Speaker 9: in your sink basin or outside of the sink. And 765 00:36:51,200 --> 00:36:53,600 Speaker 9: so the work that we did demonstrated that people who 766 00:36:53,640 --> 00:36:55,239 Speaker 9: do that can often. 767 00:36:55,000 --> 00:36:57,239 Speaker 7: Contaminate their sink, contaminate. 768 00:36:56,680 --> 00:36:59,520 Speaker 9: Other food that they're making along the same time, and 769 00:36:59,719 --> 00:37:03,840 Speaker 9: other places within their kitchen like spice bottles. So the 770 00:37:04,280 --> 00:37:07,759 Speaker 9: kind of message that's out there as don't wash your chicken, 771 00:37:07,760 --> 00:37:10,000 Speaker 9: which is really not a great message because people are like, well, 772 00:37:10,120 --> 00:37:12,359 Speaker 9: I wash my chicken, so why don't you tell me 773 00:37:12,480 --> 00:37:13,360 Speaker 9: how to do it safely? 774 00:37:13,440 --> 00:37:13,640 Speaker 4: Yeah? 775 00:37:13,680 --> 00:37:15,480 Speaker 9: Yeah, And so it's it's more about like, if this 776 00:37:15,560 --> 00:37:17,840 Speaker 9: is something that you're gonna do, making sure that you 777 00:37:18,000 --> 00:37:20,600 Speaker 9: clean and sanitize your sink basin, which is the most 778 00:37:20,680 --> 00:37:23,239 Speaker 9: likely place to get contaminated because we do a lot 779 00:37:23,239 --> 00:37:26,280 Speaker 9: of other food related things in the sink, like rints 780 00:37:26,440 --> 00:37:29,920 Speaker 9: less for in a calendar, for instance, and so bacteria 781 00:37:29,960 --> 00:37:33,640 Speaker 9: that's in the basin can bounce up into that calendar, 782 00:37:33,719 --> 00:37:41,919 Speaker 9: which is what we saw in our study. 783 00:37:42,719 --> 00:37:46,400 Speaker 1: Hopefully this helps. Before you get into our takeaways, I 784 00:37:46,440 --> 00:37:48,680 Speaker 1: do want to recommend a documentary that both Ben and 785 00:37:48,760 --> 00:37:49,560 Speaker 1: Bill are in. 786 00:37:49,880 --> 00:37:50,239 Speaker 7: Oh Wow. 787 00:37:50,520 --> 00:37:53,239 Speaker 1: It's on Netflix, and it's called Poisoned. The Dirty Truth 788 00:37:53,239 --> 00:37:55,240 Speaker 1: about Your Food this is my first step in my research, 789 00:37:55,320 --> 00:37:58,440 Speaker 1: and then I grabbed these guys from the documentary. It's 790 00:37:58,520 --> 00:38:01,480 Speaker 1: directed by Stephanie Sucked and it's based on a book 791 00:38:01,480 --> 00:38:03,920 Speaker 1: by the journalist Jeff Benedict. So I will say watching this, 792 00:38:03,960 --> 00:38:06,239 Speaker 1: it took me about three minutes of hearing Bill talk 793 00:38:06,280 --> 00:38:08,600 Speaker 1: before I was convinced I was pretty wrong about food 794 00:38:08,600 --> 00:38:11,480 Speaker 1: poison because it opens and you know, talking about all 795 00:38:11,480 --> 00:38:14,600 Speaker 1: these horrible stories. I was like, yeah, okay, this exists. 796 00:38:14,840 --> 00:38:18,400 Speaker 3: Yeah, fair enough. Hey, we love someone who knows when 797 00:38:18,440 --> 00:38:19,600 Speaker 3: they're wrong and they can admit it. 798 00:38:19,840 --> 00:38:22,080 Speaker 4: Yeah, it's a beautiful thing about this podcast. 799 00:38:22,120 --> 00:38:23,600 Speaker 1: And also I'm not embarrassed. Yeah. 800 00:38:23,600 --> 00:38:25,480 Speaker 3: You know at the end of these episodes, when we 801 00:38:25,560 --> 00:38:28,600 Speaker 3: learn like this large amount of information, I always wonder 802 00:38:28,640 --> 00:38:32,200 Speaker 3: how much it's gonna change my life personally, And I 803 00:38:32,280 --> 00:38:34,000 Speaker 3: think this is the first time where like, actually, yeah, 804 00:38:34,040 --> 00:38:37,600 Speaker 3: I probably will. I've never really checked the temperature of 805 00:38:37,600 --> 00:38:38,960 Speaker 3: the chicken. I just kind of look at it and 806 00:38:39,000 --> 00:38:41,279 Speaker 3: it's like kind of looks done, and you know, I 807 00:38:41,360 --> 00:38:43,719 Speaker 3: might start I do have a thermometer, I might start 808 00:38:43,719 --> 00:38:47,560 Speaker 3: poking it. Yeah. And then on the opposite side of this, 809 00:38:47,719 --> 00:38:51,360 Speaker 3: like I do feel like a little I feel like 810 00:38:51,360 --> 00:38:55,799 Speaker 3: it's I feel safer getting rarer meats. Yeah, when I 811 00:38:55,840 --> 00:38:57,680 Speaker 3: go to a restaurant, so I might try something that. 812 00:38:57,719 --> 00:39:00,600 Speaker 1: Yeah, it's more just understanding what the actual risks you 813 00:39:00,640 --> 00:39:04,279 Speaker 1: should be worried about our overall. I feel like, yeah, 814 00:39:04,400 --> 00:39:06,920 Speaker 1: usually we talked to an expert and it's and they 815 00:39:07,200 --> 00:39:09,320 Speaker 1: tell us what's wrong with something, and I was like, 816 00:39:09,360 --> 00:39:11,160 Speaker 1: all right, great, thanks, I'm not gonna change let me 817 00:39:11,200 --> 00:39:13,799 Speaker 1: go back, let me go back my life. But this 818 00:39:13,840 --> 00:39:15,040 Speaker 1: one seems pretty important. 819 00:39:15,400 --> 00:39:16,720 Speaker 4: Yeah, this is helpful. 820 00:39:16,840 --> 00:39:19,600 Speaker 5: I would say I was, you know, as someone a 821 00:39:19,719 --> 00:39:26,600 Speaker 5: food poisoning victim survivor survivor. Yes, sir, I thought your 822 00:39:26,640 --> 00:39:32,279 Speaker 5: premise was ridiculous. I did think people overestimated. So the 823 00:39:32,320 --> 00:39:35,799 Speaker 5: fact that it really isn't you know, like there's a 824 00:39:35,840 --> 00:39:36,720 Speaker 5: lot of food poisoning. 825 00:39:36,840 --> 00:39:37,880 Speaker 1: Oh yeah yeah. 826 00:39:38,360 --> 00:39:40,960 Speaker 5: So I will say I'm going to apologize to some 827 00:39:40,960 --> 00:39:43,520 Speaker 5: people out there who I said maybe. 828 00:39:43,400 --> 00:39:46,480 Speaker 1: Faking anyway, right to your Congress people, I guess about salmonella. 829 00:39:46,960 --> 00:39:49,560 Speaker 4: Yeah, let's do that's something. What are we doing? 830 00:39:49,719 --> 00:39:51,000 Speaker 1: I mean, it's crazy. 831 00:39:51,120 --> 00:39:53,480 Speaker 3: Feels similar to the Headlights episode where it's like, look 832 00:39:53,480 --> 00:39:55,600 Speaker 3: what they're doing over there makes a lot of sense. 833 00:39:55,800 --> 00:40:00,120 Speaker 1: Just they just want demonstrable differences and not and like 834 00:40:00,360 --> 00:40:03,040 Speaker 1: Bill says, where it's like everyone freaked out how expensive 835 00:40:03,040 --> 00:40:06,000 Speaker 1: meat would be. It adjusts. It's not you know, once 836 00:40:06,000 --> 00:40:08,080 Speaker 1: it's built into the thing. It's just that's what it is. 837 00:40:08,120 --> 00:40:10,480 Speaker 1: I mean, over all these the factory farms and stuff. 838 00:40:11,520 --> 00:40:15,840 Speaker 1: It makes me want to go, you know, avoid that more. Yeah, yeah, 839 00:40:16,360 --> 00:40:19,120 Speaker 1: you know, who knows. Yeah, it's it seems pretty bad 840 00:40:19,120 --> 00:40:21,200 Speaker 1: out there. Of course, the ownus just falls on us 841 00:40:21,239 --> 00:40:25,840 Speaker 1: as consumers and cookers ourselves. 842 00:40:24,680 --> 00:40:25,160 Speaker 4: To do it. 843 00:40:25,280 --> 00:40:27,920 Speaker 1: Like so many other things issue too. 844 00:40:27,920 --> 00:40:29,920 Speaker 4: If no one cares until they're a victim of it. 845 00:40:29,960 --> 00:40:30,760 Speaker 1: Well yeah, exactly. 846 00:40:30,880 --> 00:40:33,120 Speaker 4: So like I'm not really thinking about Semonel if I 847 00:40:33,120 --> 00:40:33,400 Speaker 4: don't have. 848 00:40:33,719 --> 00:40:36,920 Speaker 6: You know, they had this big food safety conference in 849 00:40:36,960 --> 00:40:39,560 Speaker 6: Cleveland a couple of weeks ago, four thousand people in 850 00:40:39,600 --> 00:40:42,919 Speaker 6: a room. And they always pick somebody once a year 851 00:40:43,040 --> 00:40:45,400 Speaker 6: to be like the keynote speaker for the conference. But 852 00:40:45,480 --> 00:40:48,239 Speaker 6: the guy who gave the speech, he goes. You know, 853 00:40:48,320 --> 00:40:50,759 Speaker 6: one of the things that we should really do is, 854 00:40:51,280 --> 00:40:53,960 Speaker 6: you know, put Bill Marler into retirement. 855 00:40:54,239 --> 00:40:55,320 Speaker 7: Is Bill Marler here. 856 00:40:57,840 --> 00:41:00,560 Speaker 4: Kills kills kills such. 857 00:41:00,800 --> 00:41:04,720 Speaker 1: Thing, No such thing as a production of kaleidoscope content. 858 00:41:04,800 --> 00:41:08,959 Speaker 1: Our Executive producers are Kate Osbourne and Mangeshkur. The show 859 00:41:09,000 --> 00:41:11,560 Speaker 1: is created by Manny Fidel, Noah Friedman, That's Me and 860 00:41:11,640 --> 00:41:15,600 Speaker 1: Devin Joseph. Theme and credits song by Manny Fidel, mixing 861 00:41:15,640 --> 00:41:18,640 Speaker 1: by Steve Bone. Our guest this week are Ben Chapman 862 00:41:18,719 --> 00:41:21,799 Speaker 1: and Bill Marler. Visit No Such Thing dot show to 863 00:41:21,840 --> 00:41:24,279 Speaker 1: subscribe to our newsletter, and if you have feedback or 864 00:41:24,280 --> 00:41:26,640 Speaker 1: a question for us, our email is many Noah Deevin 865 00:41:26,760 --> 00:41:29,200 Speaker 1: at gmail dot com. You can also lead this voicemail 866 00:41:29,200 --> 00:41:31,520 Speaker 1: by calling the number in our show notes. We'll be 867 00:41:31,520 --> 00:41:32,880 Speaker 1: back next week with a new episode. 868 00:41:33,040 --> 00:41:39,960 Speaker 4: Thanks Hells, Hess Hells, No Such Thing