1 00:00:00,120 --> 00:00:02,639 Speaker 1: Cleaning out the sound fridge because there was a goat 2 00:00:02,680 --> 00:00:08,200 Speaker 1: in there. Huh, it's one more thing, one more thing. 3 00:00:09,320 --> 00:00:14,280 Speaker 2: I don't like these nonsensical teases. They leaves me wondering 4 00:00:14,360 --> 00:00:15,040 Speaker 2: what's happening. 5 00:00:15,520 --> 00:00:18,240 Speaker 1: Goat is in greatest of all time, Tom Brady if 6 00:00:18,960 --> 00:00:20,960 Speaker 1: part of cleaning out of sound fridge, not the. 7 00:00:22,520 --> 00:00:24,560 Speaker 2: Not the bearded can eating beast. 8 00:00:24,800 --> 00:00:27,520 Speaker 1: Oh you know what that reminds me? This is this 9 00:00:27,600 --> 00:00:30,840 Speaker 1: is a audible at the line of scrimmage like Tom 10 00:00:30,880 --> 00:00:34,120 Speaker 1: Brady himself would make. I wanted you to comment on this, 11 00:00:34,159 --> 00:00:37,240 Speaker 1: and we never got to it on the show. Uh 12 00:00:37,280 --> 00:00:41,120 Speaker 1: this is uh uh. What's the Brendan woman's name on 13 00:00:41,159 --> 00:00:44,280 Speaker 1: Face the Nation? Margaret Margaret Brennan. Boy, is she a 14 00:00:44,320 --> 00:00:47,120 Speaker 1: piece of work? Anyway? This is with the dog murdering 15 00:00:47,920 --> 00:00:51,760 Speaker 1: Christy home of South Dakota. Dog had it coming in 16 00:00:51,800 --> 00:00:54,960 Speaker 1: my world, but anyway, didn't like the way he looked 17 00:00:54,960 --> 00:00:57,920 Speaker 1: at me. Hey, it's reality, Katie, wake up and smell 18 00:00:58,120 --> 00:00:58,800 Speaker 1: the reality. 19 00:00:58,960 --> 00:00:59,800 Speaker 2: Sorry, I'm not a dog. 20 00:01:01,360 --> 00:01:04,800 Speaker 1: I'm not either. I just support them anyway. There are 21 00:01:04,800 --> 00:01:07,840 Speaker 1: subtleties here, folks. I'm just being broad for the purposes 22 00:01:07,840 --> 00:01:11,960 Speaker 1: of humor. But Michael play us thirty five. 23 00:01:12,800 --> 00:01:14,639 Speaker 3: Because you put it in a part of a chapter 24 00:01:14,880 --> 00:01:17,840 Speaker 3: called bad Day to be a Goat. And then after 25 00:01:17,880 --> 00:01:21,360 Speaker 3: you shot the dog, you quote realized another unpleasant job 26 00:01:21,440 --> 00:01:23,959 Speaker 3: needed to be done. Walking back up to the yard, 27 00:01:24,000 --> 00:01:26,800 Speaker 3: I spotted our billy goat. You said he smelled and 28 00:01:26,840 --> 00:01:29,200 Speaker 3: would chase kids, so you took him to the gravel 29 00:01:29,240 --> 00:01:34,320 Speaker 3: pit and shot him twice. How do you justify that? 30 00:01:34,560 --> 00:01:36,840 Speaker 3: How was the goat a threat? And I'm asking you 31 00:01:36,880 --> 00:01:39,959 Speaker 3: this because it seems like you're celebrating the killing of 32 00:01:39,959 --> 00:01:41,600 Speaker 3: the animals, not at all. 33 00:01:41,640 --> 00:01:43,800 Speaker 4: This has been a story that my political opponents have 34 00:01:43,840 --> 00:01:46,559 Speaker 4: tried to use against me for years. It's well known 35 00:01:46,600 --> 00:01:49,120 Speaker 4: in South Dakota and it has been to other people. 36 00:01:49,280 --> 00:01:51,080 Speaker 4: And I want the truth to be out there and 37 00:01:51,120 --> 00:01:55,800 Speaker 4: to understand that these animals were attacking my children, that 38 00:01:56,280 --> 00:01:58,080 Speaker 4: we live on a farm in a ranch, and that 39 00:01:58,200 --> 00:02:01,640 Speaker 4: tough decisions are made many times and it is to 40 00:02:01,680 --> 00:02:05,560 Speaker 4: protect people. And I'll tell you the extremism of other 41 00:02:05,600 --> 00:02:08,960 Speaker 4: people and how they have attacked me politically, I understand it. 42 00:02:08,960 --> 00:02:11,000 Speaker 4: They're doing the same thing to me that they do 43 00:02:11,040 --> 00:02:11,600 Speaker 4: to Donald T. 44 00:02:13,000 --> 00:02:15,399 Speaker 2: Everybody not know this since you're newer to the show, 45 00:02:15,440 --> 00:02:18,080 Speaker 2: but I have dispatched of quite a few different kinds 46 00:02:18,080 --> 00:02:20,680 Speaker 2: of animals living out on farms. I won't get into 47 00:02:20,720 --> 00:02:23,079 Speaker 2: all the details many have talked about on the air. 48 00:02:23,320 --> 00:02:25,280 Speaker 2: Some I have not because I know how people who 49 00:02:25,280 --> 00:02:27,799 Speaker 2: are from urban areas react to this sort of thing. 50 00:02:28,160 --> 00:02:31,720 Speaker 2: But particularly with a goat, where do you think what 51 00:02:31,760 --> 00:02:33,880 Speaker 2: do you think happens to most goats? Do you think 52 00:02:33,880 --> 00:02:36,320 Speaker 2: they mostly die of old age? Do you think that's 53 00:02:36,320 --> 00:02:39,120 Speaker 2: where most goats go on a goat retirement hall? I 54 00:02:39,160 --> 00:02:42,120 Speaker 2: would like to think so. They get slaughtered for meat, 55 00:02:42,600 --> 00:02:43,919 Speaker 2: almost all of them. 56 00:02:44,040 --> 00:02:46,280 Speaker 1: Best burger I ever had was a goat burger, by 57 00:02:46,320 --> 00:02:47,519 Speaker 1: the way, and. 58 00:02:47,680 --> 00:02:50,000 Speaker 2: Being you know, I suppose you could get into the 59 00:02:50,000 --> 00:02:54,000 Speaker 2: intricacies of the way they kill goats at rendering plants 60 00:02:54,080 --> 00:02:56,760 Speaker 2: versus shooting in the head. I don't even know how 61 00:02:56,760 --> 00:02:59,200 Speaker 2: they dispatch a goat, so I've seen cattle dispatched before, 62 00:02:59,240 --> 00:03:02,000 Speaker 2: but probably but getting a shot in the head is 63 00:03:02,040 --> 00:03:04,200 Speaker 2: not worse than what they're gonna do to the goat 64 00:03:04,240 --> 00:03:05,680 Speaker 2: if it goes to the rendering plant. 65 00:03:05,800 --> 00:03:07,160 Speaker 1: Right, And the thing I was gonna bring up is, 66 00:03:07,200 --> 00:03:09,960 Speaker 1: I know you've dealt with super aggressive goats, and the 67 00:03:10,040 --> 00:03:12,720 Speaker 1: idea that how is the goat and roosters. 68 00:03:12,240 --> 00:03:18,120 Speaker 2: And dogs and all kinds of animals neighbor anyway, get 69 00:03:18,160 --> 00:03:20,880 Speaker 2: behind though the birds men that whole story. I won't 70 00:03:20,880 --> 00:03:22,000 Speaker 2: even get that one again. 71 00:03:22,080 --> 00:03:24,720 Speaker 1: Yeah, the day the California condor was bothering Michael and 72 00:03:24,760 --> 00:03:27,239 Speaker 1: he shot it out of this anyway, back to you, 73 00:03:29,520 --> 00:03:34,680 Speaker 1: that's a joke, folks, especially federal agent folks. No, but 74 00:03:34,840 --> 00:03:40,280 Speaker 1: a super aggressive billy goat around children is an enormous risk. 75 00:03:41,440 --> 00:03:44,960 Speaker 2: Well, yeah, yes, it's true. But it doesn't even need 76 00:03:45,080 --> 00:03:47,640 Speaker 2: she doesn't even need to justify it. What we wanted 77 00:03:47,680 --> 00:03:51,960 Speaker 2: to eat it? We needed less goats. Is it perfectly 78 00:03:51,960 --> 00:03:54,680 Speaker 2: good enough reason we needed less goats? What else are 79 00:03:54,680 --> 00:03:56,880 Speaker 2: you gonna do with it? It's quite possible as a male, 80 00:03:57,040 --> 00:03:59,320 Speaker 2: as an uncut male, which is why it smelled. So 81 00:03:59,400 --> 00:04:02,520 Speaker 2: you probably don't know this either, Katie. Male goats stick 82 00:04:02,560 --> 00:04:04,520 Speaker 2: their head between their legs and pee on their face. 83 00:04:05,960 --> 00:04:11,280 Speaker 2: That's a fun fact. That's a goat thing, fun goat fact. 84 00:04:11,480 --> 00:04:13,440 Speaker 2: So there are a reason, yes, because they want to 85 00:04:13,440 --> 00:04:16,400 Speaker 2: make themselves as smelly as possible. It's got something to 86 00:04:16,440 --> 00:04:18,359 Speaker 2: do with if I'm smellier than that, dude, it's going 87 00:04:18,440 --> 00:04:23,480 Speaker 2: to attract more female goats. But they smell horrible, but 88 00:04:23,520 --> 00:04:25,880 Speaker 2: any erisive scent. The fact that she said this was 89 00:04:25,880 --> 00:04:27,400 Speaker 2: a smelly goat leads me to believe that it was 90 00:04:27,400 --> 00:04:30,400 Speaker 2: a male. So you got an uncut male goat and 91 00:04:30,440 --> 00:04:34,600 Speaker 2: you don't need it. You can't freaking give those things away. Honestly, 92 00:04:34,880 --> 00:04:37,120 Speaker 2: I know for a fact I've lived in this world. 93 00:04:37,320 --> 00:04:40,000 Speaker 2: There are fifty goats at the farm my own right now, 94 00:04:42,120 --> 00:04:44,640 Speaker 2: So they're worthless. So what do you think's gonna happen 95 00:04:44,680 --> 00:04:46,200 Speaker 2: to it? What are you gonna do with it? Just 96 00:04:46,320 --> 00:04:48,520 Speaker 2: you don't need it anymore? Is the reason that people 97 00:04:48,520 --> 00:04:49,480 Speaker 2: would dispatch of it. 98 00:04:50,000 --> 00:04:51,040 Speaker 1: That's a farm animal. 99 00:04:51,839 --> 00:04:53,919 Speaker 2: So I don't know what to tell people. Where do 100 00:04:53,920 --> 00:04:56,400 Speaker 2: you think meat comes from? 101 00:04:56,640 --> 00:05:01,039 Speaker 1: Animals that volunteered to be on plates? All right, enough 102 00:05:01,279 --> 00:05:05,200 Speaker 1: goat murder, let's move on clean out sound for I 103 00:05:05,240 --> 00:05:07,320 Speaker 1: was gonna say, thanks metal guys. I was gonna say, like. 104 00:05:10,000 --> 00:05:12,360 Speaker 2: Then, writing a book where you put the name of 105 00:05:12,400 --> 00:05:14,320 Speaker 2: the chapter bad Day to be a goat, I don't 106 00:05:14,360 --> 00:05:16,160 Speaker 2: get that. I mean, what is your what is your 107 00:05:16,200 --> 00:05:19,320 Speaker 2: angle that you know what that is? Honestly, that's a 108 00:05:19,360 --> 00:05:22,640 Speaker 2: person who spent her entire life around people who understand 109 00:05:22,640 --> 00:05:23,479 Speaker 2: what you just said. 110 00:05:24,200 --> 00:05:27,920 Speaker 1: Yeah, but and she lacks the imagination or insight or 111 00:05:28,040 --> 00:05:33,719 Speaker 1: advisors to understand. Okay, in urban America, suburban America, whatever, 112 00:05:33,920 --> 00:05:36,080 Speaker 1: we got to take a really different tone with us. 113 00:05:36,160 --> 00:05:37,320 Speaker 1: I know it's silly, but we do. 114 00:05:37,480 --> 00:05:39,080 Speaker 2: Like, so, how do you feel about roosters as a 115 00:05:39,120 --> 00:05:41,480 Speaker 2: suburban person in your whole life? There, Katie, we had 116 00:05:41,480 --> 00:05:44,240 Speaker 2: a rooster jumped on Sam's shoulders when he was like 117 00:05:44,240 --> 00:05:46,560 Speaker 2: two years old, started pecking him. I shot that thing 118 00:05:46,920 --> 00:05:47,599 Speaker 2: a half hour. 119 00:05:47,560 --> 00:05:48,800 Speaker 1: Later, barbaric. 120 00:05:49,120 --> 00:05:51,560 Speaker 2: I've heard that roosters can be really mean, so I 121 00:05:52,040 --> 00:05:55,320 Speaker 2: I mean, shoot away, Jack. I don't know. I have 122 00:05:55,520 --> 00:05:59,119 Speaker 2: zero experience with this. So yeah, well as do most people. 123 00:05:59,279 --> 00:06:00,760 Speaker 2: But you know, if you'll be vice president of the 124 00:06:00,839 --> 00:06:02,480 Speaker 2: United States, you got to have a better idea of 125 00:06:02,480 --> 00:06:05,160 Speaker 2: what things sound like to suburban voters. And the way 126 00:06:05,279 --> 00:06:07,320 Speaker 2: Margaret Brennan laid it out there made it sound like 127 00:06:07,360 --> 00:06:08,520 Speaker 2: she went on a rampage. 128 00:06:09,560 --> 00:06:09,760 Speaker 1: You know. 129 00:06:10,000 --> 00:06:12,080 Speaker 2: Oh, you shot the dog, then you took the goat 130 00:06:12,120 --> 00:06:13,240 Speaker 2: to the gravel pit, you. 131 00:06:13,200 --> 00:06:16,239 Speaker 1: Know, like you know, honestly, Katie, I got to admit 132 00:06:16,360 --> 00:06:19,359 Speaker 1: I kind of got the feeling that Margaret had her suerve. 133 00:06:19,640 --> 00:06:22,480 Speaker 1: She was kind of felt like she had momentum, you know, 134 00:06:22,640 --> 00:06:24,760 Speaker 1: got a little blood loss going, all right, what else 135 00:06:24,800 --> 00:06:26,120 Speaker 1: around here needs to die? 136 00:06:26,360 --> 00:06:27,400 Speaker 2: She got all warmed up. 137 00:06:27,640 --> 00:06:29,320 Speaker 1: Got a little feel of that to me. 138 00:06:29,520 --> 00:06:32,280 Speaker 2: Yeah, okay, yeah, well you might actually do it that 139 00:06:32,320 --> 00:06:34,360 Speaker 2: way because you just don't bring out the gun all 140 00:06:34,400 --> 00:06:36,560 Speaker 2: the time. So you've got a couple of animals now 141 00:06:36,560 --> 00:06:38,760 Speaker 2: that need to go. You might do it the same afternoon. 142 00:06:38,880 --> 00:06:42,160 Speaker 1: You know what, You're right because you don't particularly want to. 143 00:06:42,240 --> 00:06:44,400 Speaker 1: It's not an easy thing to do, and you'd think, 144 00:06:44,440 --> 00:06:47,039 Speaker 1: all right, I've gotten over the revulsion, let's get it done. 145 00:06:47,440 --> 00:06:50,200 Speaker 1: All right, you know what? I sit corrected. I apologize 146 00:06:50,240 --> 00:06:56,240 Speaker 1: to rural America for my stupid, soft, suburban lack of 147 00:06:56,560 --> 00:07:00,359 Speaker 1: the reality. Now, can we move on to the jokes 148 00:07:00,720 --> 00:07:02,360 Speaker 1: unless there's I don't know, a. 149 00:07:02,240 --> 00:07:04,360 Speaker 2: Cat you would like to No, no, no, no, no 150 00:07:04,360 --> 00:07:08,039 Speaker 2: no no, no, all right, super let's do h But 151 00:07:08,200 --> 00:07:09,359 Speaker 2: it's okay, And now I'm back to this. 152 00:07:09,480 --> 00:07:11,679 Speaker 1: Uh oh, I don't did she say. 153 00:07:11,520 --> 00:07:12,080 Speaker 2: This on the air? 154 00:07:12,160 --> 00:07:12,240 Speaker 5: Not? 155 00:07:12,560 --> 00:07:14,360 Speaker 2: In case she didn't say it on the air, I 156 00:07:14,400 --> 00:07:17,480 Speaker 2: won't specify who, but we had a guest who grew 157 00:07:17,520 --> 00:07:20,360 Speaker 2: up in China. I think she did, just in case 158 00:07:20,400 --> 00:07:22,240 Speaker 2: she did, not momentary, but we had a guest who 159 00:07:22,240 --> 00:07:25,120 Speaker 2: grew up in China, back in the day when it 160 00:07:25,160 --> 00:07:28,600 Speaker 2: was mostly really poor and they didn't get to eat 161 00:07:28,640 --> 00:07:31,120 Speaker 2: all the time, and there were straight cats all over 162 00:07:31,120 --> 00:07:34,400 Speaker 2: the place, so they go. She would grab a straight cat, 163 00:07:34,960 --> 00:07:36,360 Speaker 2: put it in a bucket of water, and put the 164 00:07:36,400 --> 00:07:39,600 Speaker 2: lid on it till it was drowned, and then they 165 00:07:39,640 --> 00:07:43,960 Speaker 2: would eat the cat. That struck me as pretty rough, 166 00:07:44,200 --> 00:07:47,800 Speaker 2: even though I've grown up with more of a realistic 167 00:07:47,800 --> 00:07:51,880 Speaker 2: about animal's lifestyle. But imagine that compared to the way 168 00:07:51,920 --> 00:07:54,480 Speaker 2: Margaret Brennan and others are reacting to the shooting the goat. 169 00:07:55,080 --> 00:07:57,600 Speaker 2: I mean, that's I'm not saying it's good, but it's 170 00:07:57,640 --> 00:08:01,400 Speaker 2: just different ways you grew up the reality's of life. 171 00:08:01,520 --> 00:08:04,840 Speaker 1: You know what. I remember the night I'd meant to 172 00:08:04,920 --> 00:08:09,840 Speaker 1: read my kids The catt and I accidentally read them 173 00:08:09,920 --> 00:08:10,880 Speaker 1: the Cat in the Bucket. 174 00:08:10,920 --> 00:08:13,920 Speaker 2: Oh story, it's very different. And that's why they're on 175 00:08:13,960 --> 00:08:19,800 Speaker 2: the couch every night talking to a therapist. I mean, 176 00:08:19,840 --> 00:08:22,760 Speaker 2: I was shocked by that story. Here's this woman talking 177 00:08:22,760 --> 00:08:24,560 Speaker 2: about when she was a kid, she'd go grab a cat, 178 00:08:24,560 --> 00:08:25,880 Speaker 2: putt in a bucket, and put a lid on it. 179 00:08:25,960 --> 00:08:29,640 Speaker 2: I mean, that's rough. That's desperation, though and you're starving. 180 00:08:29,880 --> 00:08:32,760 Speaker 1: Okay, Yeah, it reminds me of I used to talk 181 00:08:32,800 --> 00:08:35,560 Speaker 1: about this a lot. There's like a continuum, a spectrum 182 00:08:35,640 --> 00:08:41,120 Speaker 1: from uh, necessity to nicety. There's like you are a 183 00:08:41,280 --> 00:08:44,200 Speaker 1: moment from death and you do whatever it takes to 184 00:08:44,240 --> 00:08:47,559 Speaker 1: stave off death. Then you move into your poor you're 185 00:08:47,600 --> 00:08:50,400 Speaker 1: in a poor society, you're in an okay society, and 186 00:08:50,440 --> 00:08:53,960 Speaker 1: then you're a very very rich person in a rich society. 187 00:08:54,080 --> 00:08:55,680 Speaker 1: And the only thing you need to worry about is 188 00:08:55,679 --> 00:08:59,360 Speaker 1: that last tenth of a percent of nicety, of fanciness 189 00:08:59,520 --> 00:09:03,120 Speaker 1: or culture or whatever. And so much a human life, 190 00:09:03,800 --> 00:09:07,000 Speaker 1: where you are on that spectrum determines what you do 191 00:09:07,080 --> 00:09:08,400 Speaker 1: and why you do it. 192 00:09:08,480 --> 00:09:11,040 Speaker 2: But Margaret Brennan and others made it seem like Christy 193 00:09:11,080 --> 00:09:13,199 Speaker 2: Nome shoots animals because you know, I was having a 194 00:09:13,200 --> 00:09:14,600 Speaker 2: bad day, and you know what makes me feel good 195 00:09:14,679 --> 00:09:15,240 Speaker 2: ending life? 196 00:09:15,520 --> 00:09:18,880 Speaker 1: It just does right right, Like she went into some 197 00:09:18,960 --> 00:09:24,079 Speaker 1: suburban backyard and gun down a golden retriever. Oh God, 198 00:09:24,120 --> 00:09:27,640 Speaker 1: after the neighbors pets. All right, right, I don't like 199 00:09:27,640 --> 00:09:30,040 Speaker 1: that one either, k Bluie, That's not what occurred. 200 00:09:31,040 --> 00:09:33,120 Speaker 2: I'm gonna have to read Cat in a bucket. 201 00:09:33,200 --> 00:09:38,400 Speaker 1: O sing one and thing two. It's just it's just terrible. 202 00:09:39,760 --> 00:09:43,760 Speaker 1: Oh boy, oh boy. Do we want to play a 203 00:09:43,840 --> 00:09:47,160 Speaker 1: couple of these jokes? That was the original plan? Yeah, 204 00:09:47,240 --> 00:09:48,680 Speaker 1: all right, go ahead with two. Michael. 205 00:09:48,840 --> 00:09:51,160 Speaker 5: President Trump, for the first time in his trial, wrote 206 00:09:51,160 --> 00:09:53,480 Speaker 5: a message on a yellow post a note and handed 207 00:09:53,480 --> 00:09:55,640 Speaker 5: it to his lawyer while he was making an argument. 208 00:09:56,000 --> 00:09:58,360 Speaker 5: The post it read, simply can't pay you. 209 00:10:02,000 --> 00:10:04,640 Speaker 1: That's jo If you know Trump's history is a developer. 210 00:10:04,679 --> 00:10:08,480 Speaker 1: That's a pretty good joke. All right, let's do number five. 211 00:10:09,000 --> 00:10:11,640 Speaker 5: An eleven day cruise is being offered next year from 212 00:10:11,640 --> 00:10:14,600 Speaker 5: Miami to the Caribbean in which passengers will be nude. 213 00:10:14,960 --> 00:10:18,640 Speaker 5: The cruise will offer pickleball, cornhole and also games. 214 00:10:23,760 --> 00:10:27,600 Speaker 1: Play that one on the air. Yeah, that's rough, speaking 215 00:10:27,600 --> 00:10:29,120 Speaker 1: of things probably shouldn't be aired. Six. 216 00:10:30,000 --> 00:10:33,800 Speaker 5: A new a new report chronicles a disorder called sexsomnia, 217 00:10:33,840 --> 00:10:36,360 Speaker 5: in which people try to have sex while they're asleep. 218 00:10:36,800 --> 00:10:40,120 Speaker 5: The report was written by someone named Phil Fosby. 219 00:10:42,360 --> 00:10:48,040 Speaker 2: Pretty cool, that's what's that reference to Bill Cosby? 220 00:10:50,200 --> 00:10:50,680 Speaker 5: Oh? 221 00:10:50,920 --> 00:10:55,160 Speaker 1: Got it, got it, Phil Fosby. Sorry, did they show 222 00:10:55,160 --> 00:10:58,760 Speaker 1: a picture? That's yeah? Okay, any nose and glasses. It's 223 00:10:58,800 --> 00:11:02,520 Speaker 1: like you usually get jokes. I get it. 224 00:11:02,880 --> 00:11:04,760 Speaker 2: Usually I get jokes that's good. 225 00:11:04,760 --> 00:11:06,800 Speaker 1: And this is you just want to hit ten and 226 00:11:06,840 --> 00:11:10,120 Speaker 1: then call it good. This is just interesting. Ah, Michael, 227 00:11:10,160 --> 00:11:11,439 Speaker 1: anything we need to know about this one? 228 00:11:11,480 --> 00:11:12,640 Speaker 2: No, I just didn't know about this. 229 00:11:12,720 --> 00:11:13,440 Speaker 1: Okay. 230 00:11:13,880 --> 00:11:16,600 Speaker 6: A lot of employers are using AI to scan resumes 231 00:11:16,640 --> 00:11:19,040 Speaker 6: before they even read them. The problem there is that 232 00:11:19,120 --> 00:11:21,360 Speaker 6: AI will say you're not a good fit if the 233 00:11:21,400 --> 00:11:23,679 Speaker 6: formatting is an AI friendly. Sorry, I don't know how 234 00:11:23,679 --> 00:11:25,960 Speaker 6: to make a resume AI friendly. Step one, you're going 235 00:11:26,040 --> 00:11:28,760 Speaker 6: to highlight the entire job description and you are going 236 00:11:28,800 --> 00:11:31,760 Speaker 6: to copy it then paste it onto your resume. Then 237 00:11:31,800 --> 00:11:34,200 Speaker 6: you're going to make that text super tiny and in 238 00:11:34,320 --> 00:11:37,200 Speaker 6: white ink, so it's not visible to the human eye, 239 00:11:37,200 --> 00:11:40,320 Speaker 6: but to AI it still sees it and it reads 240 00:11:40,520 --> 00:11:43,160 Speaker 6: every keyword that is there, so your resume looks like 241 00:11:43,200 --> 00:11:44,000 Speaker 6: it's a great fit. 242 00:11:44,600 --> 00:11:45,080 Speaker 2: Interesting. 243 00:11:45,280 --> 00:11:48,320 Speaker 1: Okay, Wow, that plucky young lady's got some good advice. 244 00:11:50,600 --> 00:11:53,199 Speaker 2: So all the who's and whovill marched to the gravel 245 00:11:53,240 --> 00:12:03,439 Speaker 2: pit what they had going wah? Alright, Well, I guess 246 00:12:03,480 --> 00:12:03,800 Speaker 2: that's it.