1 00:00:00,160 --> 00:00:04,840 Speaker 1: Hello the Internet, and welcome to this special year end 2 00:00:04,960 --> 00:00:10,640 Speaker 1: episode of Dirty which we look at the search trends 3 00:00:10,680 --> 00:00:13,920 Speaker 1: of the year. My name is Jack O'Brien and I 4 00:00:13,960 --> 00:00:16,640 Speaker 1: am thrilled to be joined as always by my co host, 5 00:00:16,840 --> 00:00:21,360 Speaker 1: Mr Miles Gray. Yes, here to talk about the year 6 00:00:21,400 --> 00:00:25,439 Speaker 1: in search or Google lets us know just how how 7 00:00:25,480 --> 00:00:29,600 Speaker 1: far we've come, either forward or backwards. And Miles, we 8 00:00:29,640 --> 00:00:32,680 Speaker 1: are thrilled to be joined in our third seat by 9 00:00:32,680 --> 00:00:41,760 Speaker 1: the brilliant and talented super producer is raining outside. Oh cool, 10 00:00:41,960 --> 00:00:45,280 Speaker 1: we could use it here in this uh this part 11 00:00:45,400 --> 00:00:48,600 Speaker 1: state of ours. So this is a thing Google does 12 00:00:48,680 --> 00:00:51,000 Speaker 1: every year. It tells us what the what everybody was 13 00:00:51,040 --> 00:00:54,920 Speaker 1: searching for all year? Um, we cover trends every day, 14 00:00:55,040 --> 00:00:59,040 Speaker 1: usually looking at Google trends as one of our primary sources. 15 00:00:59,200 --> 00:01:03,400 Speaker 1: And this is a digest of like what what made 16 00:01:03,400 --> 00:01:07,679 Speaker 1: it to the top of the list, you know? And yeah, 17 00:01:07,720 --> 00:01:10,440 Speaker 1: so should we should we kick it off with just 18 00:01:10,600 --> 00:01:15,480 Speaker 1: the top ten most searched things? Yeah, there is this 19 00:01:15,560 --> 00:01:17,560 Speaker 1: thing that I that usually comes out with this. I 20 00:01:17,600 --> 00:01:20,040 Speaker 1: feel like sometimes an outlet, will I get an interview 21 00:01:20,040 --> 00:01:23,720 Speaker 1: with somebody at Google, And I think this year it's 22 00:01:23,760 --> 00:01:25,720 Speaker 1: a box or somewhere they were talking about like their 23 00:01:25,800 --> 00:01:31,000 Speaker 1: main data, like an analyst type person, And the way 24 00:01:31,080 --> 00:01:32,679 Speaker 1: he puts this sort of year in review is like, 25 00:01:32,760 --> 00:01:36,319 Speaker 1: no one trusts anyone more than their searching, their search engine, 26 00:01:36,600 --> 00:01:38,440 Speaker 1: because that's what You're not afraid to look stupid in 27 00:01:38,480 --> 00:01:40,640 Speaker 1: front of You're gonna ask questions you didn't know that 28 00:01:40,959 --> 00:01:43,479 Speaker 1: you wanted the answers to, so in that this way, 29 00:01:43,520 --> 00:01:49,800 Speaker 1: this is truly an intimate glance into America's shared consciousness. Yeah. 30 00:01:49,840 --> 00:01:52,120 Speaker 1: What one good example of that is the how to 31 00:01:52,240 --> 00:01:55,160 Speaker 1: pronounce section where the number one search was how to 32 00:01:55,200 --> 00:01:58,639 Speaker 1: pronounce doge coin? Is that how it is pronounced? Actually, 33 00:01:58,680 --> 00:02:02,080 Speaker 1: I don't know, you killed it? But number two is 34 00:02:02,200 --> 00:02:06,960 Speaker 1: how to pronounce Michael Jackson? Yeah? What the fun I saw? 35 00:02:07,960 --> 00:02:10,800 Speaker 1: I did not know that was on the national share 36 00:02:10,840 --> 00:02:14,600 Speaker 1: consciousness on people's minds. Is that, Like I wonder, is 37 00:02:14,680 --> 00:02:18,480 Speaker 1: this like a viral video like how to pronounce Michael Jackson? 38 00:02:18,520 --> 00:02:22,040 Speaker 1: Because I can't imagine that this was something like yeah, 39 00:02:22,120 --> 00:02:24,200 Speaker 1: there has to be more to it, and we're gonna 40 00:02:24,240 --> 00:02:26,480 Speaker 1: get to it, folks. We're gonna get to the bottom 41 00:02:26,480 --> 00:02:28,680 Speaker 1: of this ship. Like we're so old. It's like, dude, 42 00:02:28,720 --> 00:02:31,680 Speaker 1: it's like a famous meme. How to pronounce Michael Jackson. 43 00:02:31,760 --> 00:02:35,680 Speaker 1: But no, it's truly, that's there's like there's fucking full 44 00:02:35,720 --> 00:02:38,200 Speaker 1: on guides like how to say it, let me hear it. 45 00:02:38,600 --> 00:02:46,440 Speaker 1: Maybe it's other countries. Oh okay, got it? Um, thanks 46 00:02:47,080 --> 00:02:51,240 Speaker 1: all right, But just top overall searches. Um, we've got 47 00:02:51,280 --> 00:02:56,440 Speaker 1: some deceased celebrities, celebrities who passed, uh, some just wild 48 00:02:56,480 --> 00:03:01,839 Speaker 1: ship bags. But the number one most search thing is NBA. Yeah, 49 00:03:02,160 --> 00:03:06,560 Speaker 1: there's not a there's not another like league on anywhere 50 00:03:06,560 --> 00:03:10,639 Speaker 1: on here. Um, No, I'm worried. What does this mean? 51 00:03:11,040 --> 00:03:16,040 Speaker 1: What could it have? Is it because of vaccine searches 52 00:03:16,880 --> 00:03:19,280 Speaker 1: and like people trying to figure out where the league 53 00:03:19,280 --> 00:03:22,800 Speaker 1: goes out with vaccines plus generally the like the finals 54 00:03:22,840 --> 00:03:27,639 Speaker 1: being cool. I don't know, I'm it's there's this there's 55 00:03:27,639 --> 00:03:29,400 Speaker 1: part of me that I'm scratching my head why NBA 56 00:03:29,520 --> 00:03:31,919 Speaker 1: is the top building, right, because none of those things 57 00:03:31,960 --> 00:03:35,160 Speaker 1: would be well, you know, the finals being really cool 58 00:03:35,640 --> 00:03:38,920 Speaker 1: is definitely like a good candidate. But like vaccine ship, 59 00:03:39,000 --> 00:03:42,360 Speaker 1: like nobody like the NFL had vaccine ship that Major 60 00:03:42,400 --> 00:03:45,880 Speaker 1: League Baseball had even more searchable and newsworthy vaccine ship 61 00:03:45,880 --> 00:03:49,160 Speaker 1: because they kept like having massive outbreaks. So yeah, I 62 00:03:49,160 --> 00:03:51,720 Speaker 1: think it just might be that it's the beautiful game 63 00:03:52,000 --> 00:03:56,520 Speaker 1: and people just like to. Uh, I think you're the 64 00:03:56,520 --> 00:04:00,360 Speaker 1: most important search of the year, which is what how 65 00:04:00,440 --> 00:04:04,920 Speaker 1: to be a battie. We're gonna get to it. Uh, 66 00:04:05,120 --> 00:04:07,200 Speaker 1: this is just a focus mostly on that. What do 67 00:04:07,240 --> 00:04:09,400 Speaker 1: you think about the NBA? Why is the NBA trending? 68 00:04:09,480 --> 00:04:13,040 Speaker 1: Kobe Bryant was the only basketball thing related thing trending 69 00:04:16,640 --> 00:04:21,560 Speaker 1: top searches. Basketball was represented by Kobe because he passed away. 70 00:04:21,640 --> 00:04:25,440 Speaker 1: But and I don't know, maybe we're looking into it 71 00:04:25,440 --> 00:04:27,040 Speaker 1: and I'm just I'm glad to see that d m 72 00:04:27,200 --> 00:04:29,839 Speaker 1: X is number two. So d m X is number two. 73 00:04:30,279 --> 00:04:34,120 Speaker 1: Is the NBA not just always trending? I think it is, 74 00:04:34,200 --> 00:04:36,400 Speaker 1: But I think so that's the thing is that's what 75 00:04:36,680 --> 00:04:39,640 Speaker 1: like has emerged about the NBA is that it may 76 00:04:39,680 --> 00:04:42,400 Speaker 1: not be the highest rated sport like it might like 77 00:04:42,560 --> 00:04:45,960 Speaker 1: people don't watch it as much as the NFL, but 78 00:04:46,080 --> 00:04:50,040 Speaker 1: people talk about it so much more than like any 79 00:04:50,080 --> 00:04:54,200 Speaker 1: other sport. NFL is more watched than the NBA. Yeah, 80 00:04:54,240 --> 00:04:58,920 Speaker 1: by quite a bit. That's racist, said, I mean, first, 81 00:05:02,120 --> 00:05:03,760 Speaker 1: I think but yeah, I mean I think the NBA 82 00:05:03,839 --> 00:05:06,800 Speaker 1: just in general, I think just creates more discussion and 83 00:05:06,800 --> 00:05:10,279 Speaker 1: there's more culture out of NBA than there is the NFL. 84 00:05:10,960 --> 00:05:13,360 Speaker 1: But like I'm even looking at ten, I'm thinking maybe 85 00:05:13,360 --> 00:05:15,560 Speaker 1: it's a maybe like the NBA is there, but there's 86 00:05:15,640 --> 00:05:20,680 Speaker 1: nothing basketball related in twenty nineteen either, So I think 87 00:05:20,680 --> 00:05:24,960 Speaker 1: it's just I think in general, especially after the two people, 88 00:05:25,040 --> 00:05:27,120 Speaker 1: just I think we're kind of seeing like, Okay, basketball 89 00:05:27,200 --> 00:05:30,080 Speaker 1: is kind of fun. We like, we like where they're headed, 90 00:05:30,279 --> 00:05:34,320 Speaker 1: and they got good interesting stars to represent the sport. 91 00:05:34,760 --> 00:05:37,080 Speaker 1: And you know, based on the how to pronounce Michael 92 00:05:37,160 --> 00:05:41,800 Speaker 1: Jackson search, I'm assuming that a lot of these the 93 00:05:41,880 --> 00:05:46,760 Speaker 1: confusing ones are driven by international you know, search traffic, 94 00:05:47,240 --> 00:05:50,480 Speaker 1: and maybe the NBA and the fact that the newest 95 00:05:50,640 --> 00:05:55,000 Speaker 1: best player in the league is an international player, Jani Sankopo, 96 00:05:55,400 --> 00:05:57,800 Speaker 1: and he had a run to the finals that like 97 00:05:58,040 --> 00:06:01,279 Speaker 1: was super entertaining someone. And if maybe that's it is 98 00:06:01,320 --> 00:06:05,160 Speaker 1: that like it just got even more popular internationally than 99 00:06:05,200 --> 00:06:08,080 Speaker 1: it has been in the past. Well globally, NBA was 100 00:06:08,120 --> 00:06:11,440 Speaker 1: the fourth most search term. Miles, you just funked up 101 00:06:11,480 --> 00:06:14,760 Speaker 1: my theory. Man cut that ship, Brian, cut that ship. 102 00:06:15,040 --> 00:06:18,520 Speaker 1: Just leave leave my theory. It makes sense. I'm just 103 00:06:18,560 --> 00:06:20,840 Speaker 1: going back for a time to see what the difference 104 00:06:20,920 --> 00:06:25,040 Speaker 1: between global status statistics and US. But yeah, no, I'm 105 00:06:25,080 --> 00:06:28,839 Speaker 1: just joking it probably it probably activated I think it 106 00:06:28,920 --> 00:06:31,520 Speaker 1: probably did activate some new fans for sure. I'm sure 107 00:06:31,520 --> 00:06:34,120 Speaker 1: if like you're you're you know, in the in the 108 00:06:34,160 --> 00:06:36,080 Speaker 1: Milwaukee area. I don't know it's had enough to sway 109 00:06:36,160 --> 00:06:38,640 Speaker 1: the trends. But all that to say, d m X 110 00:06:38,680 --> 00:06:42,119 Speaker 1: at number two, Gabby Potito at number three written house 111 00:06:42,200 --> 00:06:46,640 Speaker 1: for Brian laundry five. That's wild that Gabby Potito and 112 00:06:47,000 --> 00:06:50,520 Speaker 1: her her disappearance or her murder, and then Brian they're 113 00:06:50,560 --> 00:06:53,640 Speaker 1: they're all in the like the top five. Hey, it 114 00:06:53,720 --> 00:06:57,720 Speaker 1: was on our minds, right, definitely on America's mind Were 115 00:06:57,760 --> 00:06:59,960 Speaker 1: talked about that ship once and then we're like, all right, 116 00:07:00,080 --> 00:07:05,200 Speaker 1: we even feel weird mentioning this, but certainly America. You know, 117 00:07:07,080 --> 00:07:09,000 Speaker 1: it's interesting you're able to see globally because when I 118 00:07:09,000 --> 00:07:11,600 Speaker 1: moved to globally, only search that comes up is how 119 00:07:11,640 --> 00:07:17,360 Speaker 1: to be a batty? For maybe this is like national 120 00:07:17,400 --> 00:07:21,040 Speaker 1: batty associated Like maybe there's a dual meaning of n 121 00:07:21,040 --> 00:07:23,720 Speaker 1: b A and that's where it's coming from, because everybody's 122 00:07:23,760 --> 00:07:26,960 Speaker 1: interested in like how to be a batty? I would 123 00:07:27,000 --> 00:07:29,480 Speaker 1: say there are a lot of baddies in the NBA. Yeah, 124 00:07:29,760 --> 00:07:32,840 Speaker 1: oh absolutely. I mean I do think a large part 125 00:07:33,000 --> 00:07:37,440 Speaker 1: of like the popularity to the NBA is that you 126 00:07:37,480 --> 00:07:40,640 Speaker 1: see the players first of all, you see their like 127 00:07:40,720 --> 00:07:44,000 Speaker 1: personalities more, and you also like they're not covered up 128 00:07:44,040 --> 00:07:47,280 Speaker 1: by a bunch of you know, gear and stuff, and 129 00:07:47,320 --> 00:07:49,600 Speaker 1: they're playing on a small court, so you'd like get 130 00:07:49,640 --> 00:07:53,360 Speaker 1: to be up close and personal with them, so I 131 00:07:53,360 --> 00:07:56,840 Speaker 1: think it's a more intimate Yeah. I also think a 132 00:07:56,840 --> 00:07:58,880 Speaker 1: part of that is that now like with Instagram and 133 00:07:58,920 --> 00:08:01,559 Speaker 1: social media and like you know accounts like league fits 134 00:08:01,600 --> 00:08:03,040 Speaker 1: and the fact that they don't have to just like 135 00:08:03,120 --> 00:08:06,640 Speaker 1: wear those like giants Kari suits anymore. They can actually 136 00:08:06,680 --> 00:08:09,520 Speaker 1: really express themselves, so you become somewhat of like a 137 00:08:09,520 --> 00:08:11,840 Speaker 1: fan of their game and then also a fan of 138 00:08:11,880 --> 00:08:15,040 Speaker 1: like who they are aesthetically and the you know choices 139 00:08:15,160 --> 00:08:17,400 Speaker 1: they make like in their everyday life, you know, like 140 00:08:17,880 --> 00:08:22,000 Speaker 1: and the giant sweater where you're like, okay, but I 141 00:08:22,120 --> 00:08:25,720 Speaker 1: like that to do that, you know, I would love 142 00:08:25,720 --> 00:08:27,240 Speaker 1: to see that confidence on the court when he was 143 00:08:27,240 --> 00:08:29,280 Speaker 1: playing for the Lakers. Just kidding. I have no opinions 144 00:08:29,320 --> 00:08:32,080 Speaker 1: on basketball, but um, sorry, what you say about Westbrook, 145 00:08:32,400 --> 00:08:34,080 Speaker 1: I said, or most a lot of many of the 146 00:08:34,120 --> 00:08:38,679 Speaker 1: outfits Russell Westbrook wears coming in, You're like, he likes 147 00:08:38,720 --> 00:08:42,760 Speaker 1: to take swings. Westbrook is an icon of style. So 148 00:08:42,840 --> 00:08:47,080 Speaker 1: are his twins that I follow. That's right. I know 149 00:08:47,120 --> 00:08:49,240 Speaker 1: more about Russell rest books twins than I do about 150 00:08:49,280 --> 00:08:53,839 Speaker 1: his actual play. Who's he played for? Tin? Is he on? 151 00:08:54,080 --> 00:08:57,480 Speaker 1: It looks like yellow and purple beata for the yellows, 152 00:08:57,520 --> 00:09:01,720 Speaker 1: I think l a yellows. His twins are really cute. 153 00:09:01,960 --> 00:09:04,839 Speaker 1: And then the last five are mega millions a mc 154 00:09:05,000 --> 00:09:10,040 Speaker 1: stock stimulus check, Georgia Senate Race, squid Game, Georgia Senate Race. 155 00:09:10,360 --> 00:09:13,360 Speaker 1: That was that was a big one, you know, yeah, 156 00:09:13,679 --> 00:09:15,880 Speaker 1: a big one. Remember that was the one they said, hey, guys, 157 00:09:15,880 --> 00:09:19,000 Speaker 1: turn out for that one, and it's fifteen dollar minimum 158 00:09:19,000 --> 00:09:24,120 Speaker 1: wages for all. Yeah. I feel like of the top ten, 159 00:09:24,400 --> 00:09:27,800 Speaker 1: like Georgia Senate Race would be the one that you know, 160 00:09:27,960 --> 00:09:31,040 Speaker 1: at the time, we were all about it. We're like, 161 00:09:31,080 --> 00:09:35,760 Speaker 1: this is gonna change everything, and I didn't do ship well, 162 00:09:35,960 --> 00:09:40,760 Speaker 1: you know, welcome, Welcome to Jurassic Park ak the United States. 163 00:09:40,800 --> 00:09:42,960 Speaker 1: But yeah, I mean this all kind of goes in hand. 164 00:09:43,000 --> 00:09:45,840 Speaker 1: I think it's interesting when you see stimulus check and 165 00:09:45,920 --> 00:09:48,920 Speaker 1: Georgia Senate race like sort of eight and nine, because 166 00:09:49,120 --> 00:09:52,280 Speaker 1: so much of the anxiety around stimulus checks was being 167 00:09:52,320 --> 00:09:55,360 Speaker 1: tied to the Georgia Senate race, like that was being 168 00:09:55,880 --> 00:09:58,200 Speaker 1: you know, sort of dangled over people to be like, 169 00:09:58,520 --> 00:10:00,280 Speaker 1: hey man, you're gonna get more of my any but 170 00:10:00,280 --> 00:10:02,480 Speaker 1: we're gonna do some weird math based on what we 171 00:10:02,559 --> 00:10:05,760 Speaker 1: think two thousand dollars is and then we'll go from there. 172 00:10:05,800 --> 00:10:10,880 Speaker 1: But economic anxiety, for real, I think the Democratic Party 173 00:10:11,040 --> 00:10:14,680 Speaker 1: is probably in more trouble than they realize, and then 174 00:10:15,160 --> 00:10:19,079 Speaker 1: more trouble than is generally being assumed, because they really 175 00:10:19,400 --> 00:10:23,080 Speaker 1: went hard with this Georgia center race with the last 176 00:10:23,120 --> 00:10:27,000 Speaker 1: presidential election and then didn't follow through. And I think 177 00:10:27,000 --> 00:10:32,000 Speaker 1: people are annoyed. Yea squid Games number ten um, which 178 00:10:32,200 --> 00:10:35,080 Speaker 1: I don't know what that is, but that's interesting. I 179 00:10:35,080 --> 00:10:40,160 Speaker 1: feel like a lot of this, other than maybe like DMX, 180 00:10:41,200 --> 00:10:44,240 Speaker 1: it didn't really matter in the end because it's America, 181 00:10:44,520 --> 00:10:47,240 Speaker 1: and it's like where in that stimulus check we got 182 00:10:47,240 --> 00:10:53,080 Speaker 1: like three Kyle Rittenhouse got off, Yeah, sad amc. Stock. 183 00:10:54,240 --> 00:10:56,560 Speaker 1: But I think those are more indicatus. They're they're definitely 184 00:10:56,600 --> 00:11:01,640 Speaker 1: indicative of just the like if I financial economic worldview 185 00:11:01,679 --> 00:11:04,240 Speaker 1: that people have, you know, because the top three news 186 00:11:04,320 --> 00:11:08,760 Speaker 1: searches are Mega millions, AMC, stock stimulus check, and then 187 00:11:08,840 --> 00:11:12,239 Speaker 1: g m E is even at five. So there's definitely 188 00:11:12,240 --> 00:11:15,760 Speaker 1: whether it's for good reasons or out of desperation. There 189 00:11:15,760 --> 00:11:19,160 Speaker 1: are people who are very much focused on like where 190 00:11:19,280 --> 00:11:22,480 Speaker 1: there where is there other forms of money possible? Is 191 00:11:22,520 --> 00:11:24,640 Speaker 1: it through a lottery? Is it through investments? Is it 192 00:11:24,760 --> 00:11:29,360 Speaker 1: from hopefully the government? The top three news searches are 193 00:11:29,440 --> 00:11:33,680 Speaker 1: always to avoid having to continue to do our jobs 194 00:11:34,080 --> 00:11:36,480 Speaker 1: and right, like the right and the mainstream media has 195 00:11:36,480 --> 00:11:39,840 Speaker 1: looked at that and then like it's proof that people 196 00:11:39,840 --> 00:11:45,439 Speaker 1: are getting lazier. But it's obviously like humanity is at 197 00:11:45,440 --> 00:11:49,640 Speaker 1: the end of our rope with capitalism like just kind 198 00:11:49,640 --> 00:11:53,400 Speaker 1: of encroaching on every aspect of our lives until now, 199 00:11:53,520 --> 00:11:58,440 Speaker 1: like social media is like it's gotten so much into 200 00:11:58,559 --> 00:12:02,080 Speaker 1: the d n A of like our daily lives that 201 00:12:02,280 --> 00:12:04,959 Speaker 1: it's unsustainable and like people are just like getting the 202 00:12:05,040 --> 00:12:08,439 Speaker 1: funk out of here, like that those three being the 203 00:12:08,480 --> 00:12:13,440 Speaker 1: top most searched things. Is the really good sign megamillions? 204 00:12:13,800 --> 00:12:17,240 Speaker 1: Yeah one right, yeah, And the fact that the mainstream 205 00:12:17,280 --> 00:12:21,080 Speaker 1: media is ignoring where people are at and the complicity 206 00:12:21,120 --> 00:12:26,080 Speaker 1: of their corporate owners and advertisers in the whole thing 207 00:12:26,920 --> 00:12:31,080 Speaker 1: is probably a large part of why people are like 208 00:12:31,200 --> 00:12:34,720 Speaker 1: fleeing to you know, people on YouTube or you know, 209 00:12:34,760 --> 00:12:37,600 Speaker 1: on the right, and like the right seems to have 210 00:12:37,640 --> 00:12:41,120 Speaker 1: figured out before the left that the mainstream media is 211 00:12:41,280 --> 00:12:45,280 Speaker 1: lost all respect with people. And they had like a 212 00:12:45,400 --> 00:12:48,319 Speaker 1: terrible bullshit answer waiting, but it was an answer, you know, 213 00:12:48,600 --> 00:12:50,880 Speaker 1: which is like, don't watch their bullshit, watch our bullshit. 214 00:12:51,040 --> 00:12:56,040 Speaker 1: We call the bullshit. But you do like heaps of bullshit. Um, 215 00:12:56,080 --> 00:12:57,400 Speaker 1: but I mean, and I think you also kind of 216 00:12:57,400 --> 00:12:59,480 Speaker 1: see that in the how to help category to like, 217 00:12:59,520 --> 00:13:03,079 Speaker 1: I mean, I'm surprised at American's capacity. I think it's 218 00:13:03,080 --> 00:13:05,920 Speaker 1: more of the guilt of knowing what America's foreign policy was. 219 00:13:05,960 --> 00:13:09,040 Speaker 1: But how to help Afghan refugees was first, then how 220 00:13:09,080 --> 00:13:12,520 Speaker 1: to help Texas, how to help India, COVID, how to 221 00:13:12,559 --> 00:13:15,240 Speaker 1: help foster kids, I like, at the very bottom though, 222 00:13:15,240 --> 00:13:18,520 Speaker 1: apparently we have an epidemic of farting babies because number 223 00:13:18,520 --> 00:13:22,560 Speaker 1: ten is how to help a baby with gas? That is, yeah, 224 00:13:22,720 --> 00:13:27,040 Speaker 1: that is one of one of the worst problems new 225 00:13:27,080 --> 00:13:30,640 Speaker 1: parents run up against because it's wild it's like what 226 00:13:30,840 --> 00:13:35,120 Speaker 1: you eat then goes through the milk to the baby 227 00:13:35,440 --> 00:13:38,880 Speaker 1: and like might cause gas, and a baby with gas 228 00:13:39,120 --> 00:13:43,360 Speaker 1: is no fun, not great. Well, just crying all the 229 00:13:43,400 --> 00:13:47,120 Speaker 1: time from gas. They're uncomfortable, but it's there's no there's 230 00:13:47,160 --> 00:13:49,560 Speaker 1: nothing really you can do other than like kind of 231 00:13:49,880 --> 00:13:55,840 Speaker 1: pat them on the back until they farts. Yeah, no, 232 00:13:56,000 --> 00:13:58,920 Speaker 1: I have, but I'm able to just express it to 233 00:13:59,040 --> 00:14:01,920 Speaker 1: you guys. And wait, are we cutting that part out? 234 00:14:01,920 --> 00:14:04,160 Speaker 1: When I talk about my gas for like fifteen minutes straight? 235 00:14:04,440 --> 00:14:06,640 Speaker 1: Is that not making it into the show. It's been 236 00:14:06,679 --> 00:14:09,000 Speaker 1: a ga where I can't seem to get it out 237 00:14:09,040 --> 00:14:14,240 Speaker 1: and it's like debilitating. Yeah. Or I got to massige 238 00:14:14,240 --> 00:14:16,880 Speaker 1: your guts. That's like Japan. That's like a thing you do. 239 00:14:16,960 --> 00:14:19,240 Speaker 1: You lay on one side or just get your like 240 00:14:19,360 --> 00:14:22,960 Speaker 1: really kind of move the gas through your stomach to 241 00:14:23,040 --> 00:14:26,840 Speaker 1: your butt. I do headstands. I do you know, have 242 00:14:26,960 --> 00:14:29,320 Speaker 1: somebody to just drop me on my head laying straight 243 00:14:29,360 --> 00:14:31,560 Speaker 1: on your stomach. That also helped me to oh, I 244 00:14:31,640 --> 00:14:36,080 Speaker 1: just lay on the ground and you'll kill me. There's 245 00:14:36,120 --> 00:14:38,360 Speaker 1: some real like I if I had to just like 246 00:14:38,680 --> 00:14:41,600 Speaker 1: look at this whole page of all the trends and 247 00:14:41,720 --> 00:14:45,040 Speaker 1: like come away with one overarching theme and like this 248 00:14:45,120 --> 00:14:49,600 Speaker 1: isn't a fun or funny answer. It's really like very lonely, 249 00:14:50,160 --> 00:14:52,760 Speaker 1: which goes back to the whole you know, all their 250 00:14:52,800 --> 00:14:56,440 Speaker 1: interactions and relationships with the people who you know are 251 00:14:56,480 --> 00:14:59,680 Speaker 1: supposed to make us human or family, our friends, our 252 00:14:59,760 --> 00:15:03,240 Speaker 1: meat aated by like capitalist institutions that turn us into 253 00:15:03,280 --> 00:15:06,400 Speaker 1: the product or turn us under brands or whatever. Like. 254 00:15:06,560 --> 00:15:09,200 Speaker 1: For instance, there is how to help your team make 255 00:15:09,280 --> 00:15:12,400 Speaker 1: friends is one of the how two's on the how 256 00:15:12,440 --> 00:15:15,600 Speaker 1: to be, how to be happy alone, how to be 257 00:15:15,720 --> 00:15:21,520 Speaker 1: happy with yourself, how to be there's happy alone, how 258 00:15:21,520 --> 00:15:23,840 Speaker 1: to be more trying, I mean there is. It's just 259 00:15:24,400 --> 00:15:29,280 Speaker 1: there's a lot of a personal deficit being expressed, I think, 260 00:15:29,280 --> 00:15:32,360 Speaker 1: and like the how to be stuff, except unless you're 261 00:15:32,360 --> 00:15:35,160 Speaker 1: a baddy, in which case, yeah, all right, we are 262 00:15:35,200 --> 00:15:37,040 Speaker 1: going to do some research into how to be a 263 00:15:37,040 --> 00:15:39,520 Speaker 1: baddy when we come back from this break. As we 264 00:15:39,560 --> 00:15:43,280 Speaker 1: take this break, imagine there's only one really lonely person 265 00:15:43,320 --> 00:15:48,680 Speaker 1: who searched all just NonStop, any updates on how to 266 00:15:48,680 --> 00:15:53,280 Speaker 1: be happy. No, they can't be talking anyone there lonely, 267 00:15:53,400 --> 00:15:57,440 Speaker 1: That's right, it was. They weren't talking to anybody in 268 00:15:57,520 --> 00:16:02,320 Speaker 1: a I'll be right up, honey, Like that dude lives 269 00:16:02,320 --> 00:16:05,480 Speaker 1: in a basement apartment and we know, okay, all right, 270 00:16:05,520 --> 00:16:18,600 Speaker 1: we'll be right back and your back and how to 271 00:16:18,640 --> 00:16:21,520 Speaker 1: be a bad eye one on one. Let's let them know. 272 00:16:21,640 --> 00:16:24,080 Speaker 1: I mean, this is kind of the thing that people 273 00:16:24,120 --> 00:16:26,560 Speaker 1: come to the dailies likes for is to find out 274 00:16:26,560 --> 00:16:29,560 Speaker 1: how to be a baddy. First, we offer a Dictionary 275 00:16:29,600 --> 00:16:32,800 Speaker 1: definition of a baddy. We're not talking about a bad guy, 276 00:16:32,960 --> 00:16:36,920 Speaker 1: bad person and anti hero or something like that. We're talking, 277 00:16:37,200 --> 00:16:40,600 Speaker 1: I guess, to quote the Urban Dictionary, a bad girl 278 00:16:40,800 --> 00:16:44,280 Speaker 1: who is always on fleet, slaying the game most of 279 00:16:44,320 --> 00:16:47,920 Speaker 1: the time. These baddies grew up begin bully or what 280 00:16:47,960 --> 00:16:49,800 Speaker 1: the funk this is? This is why you can't read 281 00:16:49,880 --> 00:16:52,920 Speaker 1: Urban Dictionary because people are like, like literally drunk at 282 00:16:52,920 --> 00:16:55,800 Speaker 1: a bus stop typing this. But apparently they're trying to 283 00:16:55,840 --> 00:16:58,960 Speaker 1: also make it seem like a black Swan type evolution. 284 00:16:58,960 --> 00:17:01,720 Speaker 1: But we all know just to who's bad but bad 285 00:17:01,800 --> 00:17:04,479 Speaker 1: meaning good? I think the most interesting part is when 286 00:17:04,480 --> 00:17:06,159 Speaker 1: you're able to click that search and it goes to 287 00:17:06,200 --> 00:17:08,480 Speaker 1: the sub regions of who searched it the most, and 288 00:17:08,520 --> 00:17:12,720 Speaker 1: it says Georgia, Texas, New York, Florida, California. Yeah, and 289 00:17:12,760 --> 00:17:18,919 Speaker 1: then just Jack O'Brien's house, just TikTok topic. Apparently in 290 00:17:19,000 --> 00:17:21,640 Speaker 1: Texas it was like, I don't know, when's the search 291 00:17:21,760 --> 00:17:24,800 Speaker 1: interest one hundred? I'm like, okay, so they keep it 292 00:17:24,880 --> 00:17:28,720 Speaker 1: one hundred with their batty interests Georgia's I think Georgia's 293 00:17:28,760 --> 00:17:31,200 Speaker 1: top searched is in Georgia. So when that Senate race 294 00:17:31,320 --> 00:17:34,040 Speaker 1: was going on, everyone's like, guts to learn how to 295 00:17:34,080 --> 00:17:37,800 Speaker 1: be a batty? I mean yeah, I mean stimulus checker. No, 296 00:17:38,720 --> 00:17:41,560 Speaker 1: you must be a batty to survive in this country. 297 00:17:41,600 --> 00:17:44,480 Speaker 1: So this is basically an overlap with number two on 298 00:17:44,560 --> 00:17:46,240 Speaker 1: the how to be section, which is how to be 299 00:17:46,280 --> 00:17:53,000 Speaker 1: more attractive? Right? Am I missing some nuance here because 300 00:17:53,040 --> 00:17:55,680 Speaker 1: I just say things like how to be more attractive? 301 00:17:55,920 --> 00:17:57,680 Speaker 1: I don't know what how to be a bad he 302 00:17:57,880 --> 00:18:02,639 Speaker 1: is other than where and I patch and hijack the 303 00:18:02,720 --> 00:18:07,800 Speaker 1: Naka Tomi Tower. Yeah, well, like I know that audience 304 00:18:07,840 --> 00:18:11,960 Speaker 1: has aged out of it. Happy with yourself? Jack, this 305 00:18:12,000 --> 00:18:15,119 Speaker 1: is dark. It looks. How to be more attractive feels 306 00:18:15,240 --> 00:18:19,439 Speaker 1: like the more accessible Middle America version of how to 307 00:18:19,480 --> 00:18:21,879 Speaker 1: be a battye? You know, or like that's why you 308 00:18:21,920 --> 00:18:24,879 Speaker 1: see it more like, okay, right, how to be more attractive? 309 00:18:25,080 --> 00:18:29,719 Speaker 1: They were searching that in Arizona, in Colorado, you know, 310 00:18:29,840 --> 00:18:33,639 Speaker 1: maybe a little less about using the term batty. Oklahoma 311 00:18:33,680 --> 00:18:35,840 Speaker 1: is the number one place they were searching that. I 312 00:18:35,840 --> 00:18:42,520 Speaker 1: don't like these search trends, all right, UM's released? Yeah, 313 00:18:42,520 --> 00:18:44,600 Speaker 1: these are these are bad. These are bad search trends. 314 00:18:44,640 --> 00:18:47,639 Speaker 1: And do something cooler. Oh, here we go. Here's the 315 00:18:47,640 --> 00:18:52,199 Speaker 1: one Google under how to style? Can we talk about that? 316 00:18:53,440 --> 00:18:55,680 Speaker 1: A lot of fascinating stuff I think that talks about, 317 00:18:55,760 --> 00:18:58,960 Speaker 1: you know, like how does style a sweater vest? Huge? Yeah, 318 00:18:59,200 --> 00:19:01,960 Speaker 1: sweater vest as a little too high up there. For 319 00:19:02,080 --> 00:19:04,359 Speaker 1: when I'm thinking is like this is a lot of 320 00:19:04,440 --> 00:19:08,040 Speaker 1: millennial and gen z searches happening, Like how does style flannel? 321 00:19:09,000 --> 00:19:11,119 Speaker 1: That must before the kids because we know how to 322 00:19:11,160 --> 00:19:14,000 Speaker 1: style flannel? How do I style a wolf hair cut? 323 00:19:14,240 --> 00:19:16,760 Speaker 1: I don't know. Well, that's like that. That's like that 324 00:19:16,920 --> 00:19:18,879 Speaker 1: rocker hair that she a lot of people. It's almost 325 00:19:18,880 --> 00:19:22,280 Speaker 1: like a mullet, but it looks like more fancy. Oh 326 00:19:22,359 --> 00:19:26,040 Speaker 1: I have one of those, but I have a curly 327 00:19:26,119 --> 00:19:28,320 Speaker 1: version of it. Yeah yeah, yeah, it's kind of wolfie. 328 00:19:28,400 --> 00:19:30,400 Speaker 1: But yeah, that's like the wolf hair cut. How does 329 00:19:30,400 --> 00:19:33,320 Speaker 1: style a corset? I'm like, okay, let's go back in time. 330 00:19:34,359 --> 00:19:39,280 Speaker 1: A batty is someone wearing a corset? They could it's 331 00:19:39,320 --> 00:19:41,480 Speaker 1: so nebulous. Wait, so then do you wear a corset 332 00:19:41,560 --> 00:19:43,040 Speaker 1: or not? A course for a batty? I mean, it's 333 00:19:43,040 --> 00:19:45,560 Speaker 1: really up to the batty. You know, it's a style 334 00:19:45,640 --> 00:19:48,880 Speaker 1: choice A batty could make mm hmm maybe a little 335 00:19:48,920 --> 00:19:51,639 Speaker 1: too bad, but you know that's the badness is in 336 00:19:51,680 --> 00:19:54,560 Speaker 1: the eye of the bad holder. So when someone's asking 337 00:19:54,600 --> 00:19:58,320 Speaker 1: how does style straight leg jeans, they're just asking, like 338 00:19:58,440 --> 00:20:04,480 Speaker 1: what to wear it with? Like what what to do? Yeah, okay, 339 00:20:04,680 --> 00:20:07,520 Speaker 1: how to style jack? You know, dude, ever do any 340 00:20:07,520 --> 00:20:13,359 Speaker 1: search like style searches? I don't be straight leg? Yeah 341 00:20:13,640 --> 00:20:16,199 Speaker 1: that's what it's how to rock? Yeah, okay, got it. 342 00:20:17,520 --> 00:20:21,280 Speaker 1: I've seen you. Yeah. I wear skinny and straight leg, 343 00:20:21,440 --> 00:20:24,439 Speaker 1: mostly boot cut, though, which I was surprised to not 344 00:20:24,600 --> 00:20:28,040 Speaker 1: see on this list boot cut skinny How to wear 345 00:20:28,119 --> 00:20:31,120 Speaker 1: skinny boot cut jeans? I've never seen you wear boott 346 00:20:31,400 --> 00:20:33,240 Speaker 1: I think you've blacked it out. Is a terrible time 347 00:20:33,400 --> 00:20:35,719 Speaker 1: I've been through your closet. That time you had us 348 00:20:35,760 --> 00:20:40,359 Speaker 1: over for the you did come down in like five 349 00:20:40,400 --> 00:20:43,480 Speaker 1: different outfits of them, you're liked up like these aren't 350 00:20:43,480 --> 00:20:47,520 Speaker 1: boot cut. I'll keep looking, but kind of dubious at 351 00:20:47,520 --> 00:20:49,679 Speaker 1: this point with your boot cut, count is, could you 352 00:20:49,720 --> 00:20:55,040 Speaker 1: stay downstairs? Did you know what like these aesthetics were, 353 00:20:55,359 --> 00:20:59,760 Speaker 1: like indie dark academia? I knew what Cottage Core was 354 00:20:59,800 --> 00:21:02,639 Speaker 1: that number three? Y t K. I think I had 355 00:21:02,720 --> 00:21:05,960 Speaker 1: seen that coconut girl. I have not. I do not 356 00:21:06,040 --> 00:21:10,200 Speaker 1: know what coconut girl is. That what the coconut girl 357 00:21:10,320 --> 00:21:12,240 Speaker 1: is that it give is? Let me see if I can. 358 00:21:12,800 --> 00:21:16,520 Speaker 1: I like this, Yeah, that's a that's kind of a cool. Yeah. 359 00:21:17,080 --> 00:21:21,600 Speaker 1: I looked up a dark academia and it's like dark colors. 360 00:21:22,119 --> 00:21:25,359 Speaker 1: The photographs are like poorly lit. They had like a 361 00:21:25,400 --> 00:21:29,760 Speaker 1: color palette to go with it. Mm hmmm mmmm. It 362 00:21:29,800 --> 00:21:33,720 Speaker 1: feels like East Coast, like New England boarding school for 363 00:21:33,840 --> 00:21:39,760 Speaker 1: which one dark academia like a Harvard or like is 364 00:21:39,800 --> 00:21:43,840 Speaker 1: it like Edgy Hogwarts? Well, Harry Potter is number nine 365 00:21:43,880 --> 00:21:48,040 Speaker 1: miles and Slytherin is number ten. Yeah, so I think 366 00:21:48,680 --> 00:21:51,919 Speaker 1: Harry Potter. The is still very strong in the zeitgeist. 367 00:21:52,280 --> 00:21:55,000 Speaker 1: I'm assuming right, like the searches that like they're searching 368 00:21:55,040 --> 00:21:59,760 Speaker 1: like the aesthetic as well, or I guess people just 369 00:22:00,040 --> 00:22:04,480 Speaker 1: of that vibe. They want to be Malfoyd out. I 370 00:22:04,520 --> 00:22:06,399 Speaker 1: don't know. I was like worried to look at that. 371 00:22:06,480 --> 00:22:09,160 Speaker 1: I feel like that's gonna be like creepy. I think 372 00:22:09,200 --> 00:22:14,440 Speaker 1: that's we fully regressed. Oh, this is like Jojo saw Ship. Okay, 373 00:22:14,680 --> 00:22:17,119 Speaker 1: you look like just yeah, you look like a Lisa 374 00:22:17,160 --> 00:22:19,560 Speaker 1: Frank as a human being. We used just called this 375 00:22:19,640 --> 00:22:22,119 Speaker 1: like that was like sort of candy stepper raver style 376 00:22:22,200 --> 00:22:25,480 Speaker 1: back in my dad Yeah. See, I don't like these 377 00:22:25,480 --> 00:22:28,080 Speaker 1: trends because they're making me feel old. We used to 378 00:22:28,119 --> 00:22:31,040 Speaker 1: call this something else. We just called this happy hardcore. 379 00:22:31,119 --> 00:22:32,960 Speaker 1: Back in the day he was dressed like this. They'd 380 00:22:32,960 --> 00:22:35,080 Speaker 1: be in the happy Hardcore room. One of the top 381 00:22:35,160 --> 00:22:41,000 Speaker 1: searches is Miles Gray old damn and Miles Gray Young. 382 00:22:42,640 --> 00:22:49,400 Speaker 1: Same picture you were trying to counteract. Huh, very young, 383 00:22:49,520 --> 00:22:51,840 Speaker 1: very young. I was born after night and eleven. Let's 384 00:22:51,880 --> 00:22:54,360 Speaker 1: run through the top ten memes. We got number one 385 00:22:54,400 --> 00:23:00,199 Speaker 1: Bernie Sanders Mittens, which it just feels like a I 386 00:23:00,240 --> 00:23:03,399 Speaker 1: don't know, I feel like we were working through something 387 00:23:04,080 --> 00:23:08,159 Speaker 1: there thinking that that was like I don't know or 388 00:23:08,200 --> 00:23:12,320 Speaker 1: maybe I don't know, like like it was the Biden 389 00:23:12,640 --> 00:23:17,920 Speaker 1: supporters being like, look, how you know shitty? This guy 390 00:23:18,000 --> 00:23:22,520 Speaker 1: looks well, like we made the right decision and this 391 00:23:22,600 --> 00:23:27,080 Speaker 1: guy's unelectable type thing. It feels like it surpassed that though, 392 00:23:27,080 --> 00:23:28,879 Speaker 1: where it was like everyone was doing it just to 393 00:23:28,920 --> 00:23:32,480 Speaker 1: be like look like if it almost lost its meeting 394 00:23:32,480 --> 00:23:34,119 Speaker 1: of like why are we meeting this? Like it was 395 00:23:34,160 --> 00:23:36,320 Speaker 1: just like just put them on something and there he 396 00:23:36,440 --> 00:23:43,040 Speaker 1: is right and you're like, okay, okay. Yeah, it's just 397 00:23:43,160 --> 00:23:45,920 Speaker 1: wild that that was the number one me of the year. 398 00:23:46,240 --> 00:23:48,640 Speaker 1: I think it was just that it was, yeah, just 399 00:23:48,720 --> 00:23:53,040 Speaker 1: that weird stress release of being like, Okay, the inauguration 400 00:23:53,119 --> 00:23:56,480 Speaker 1: is actually happening. There were were one step closer to 401 00:23:56,760 --> 00:23:59,679 Speaker 1: realizing that maybe Trump isn't the actual president anymore. I 402 00:23:59,720 --> 00:24:02,960 Speaker 1: don't ending on where you get your news, but I 403 00:24:03,000 --> 00:24:05,280 Speaker 1: think that was like gave people this like just dumb 404 00:24:05,320 --> 00:24:08,760 Speaker 1: moment to just you know, party with like oh my god, 405 00:24:08,800 --> 00:24:12,040 Speaker 1: he's wearing mittens so cool and he hates it. Yeah. 406 00:24:12,240 --> 00:24:15,080 Speaker 1: It felt like that was a manic moment of culture 407 00:24:15,359 --> 00:24:19,159 Speaker 1: that like now feels a little bit alien to me, 408 00:24:19,520 --> 00:24:24,360 Speaker 1: like why was everybody just hysterically sending That cropped into 409 00:24:24,560 --> 00:24:27,800 Speaker 1: various things back and forth. Hamster is number two because 410 00:24:28,000 --> 00:24:31,719 Speaker 1: there's another memorable hamster. I think it's a scared hamster 411 00:24:32,560 --> 00:24:37,119 Speaker 1: twisted tea. Not not familiar with that one. APOLOGIESE to 412 00:24:37,480 --> 00:24:41,520 Speaker 1: Uh the youngsters don't that is I mean? This is 413 00:24:41,560 --> 00:24:44,520 Speaker 1: also it's interesting to see, like what the I feel 414 00:24:44,520 --> 00:24:47,639 Speaker 1: like people who are searching memes on Google is a 415 00:24:47,680 --> 00:24:50,960 Speaker 1: little bit different than what the actual most popping memes were, 416 00:24:51,640 --> 00:24:54,080 Speaker 1: you know what I mean, because they're just if you're 417 00:24:54,080 --> 00:24:56,920 Speaker 1: searching memes, you're like what she's mean on TikTok when 418 00:24:56,920 --> 00:25:01,159 Speaker 1: they like it's not because I get that that was 419 00:25:01,200 --> 00:25:04,360 Speaker 1: a huge trend on TikTok, But I don't know if 420 00:25:04,359 --> 00:25:07,359 Speaker 1: this is quite the best metric to apply to actually 421 00:25:07,440 --> 00:25:10,160 Speaker 1: understand the most popping memes. But the Bernie Sanders one 422 00:25:10,240 --> 00:25:13,120 Speaker 1: does make sense because it feels like a thing that 423 00:25:13,359 --> 00:25:17,080 Speaker 1: everybody was tapped into. Everybody was looking at even like 424 00:25:17,160 --> 00:25:19,479 Speaker 1: on CNN or whatever they're like, and and Bernie was 425 00:25:19,600 --> 00:25:22,760 Speaker 1: he was even staying warm despite all the social distancing 426 00:25:22,760 --> 00:25:26,160 Speaker 1: in the crowd and just's like cutting to yeah, these 427 00:25:26,200 --> 00:25:28,080 Speaker 1: are this is actually a list of the memes that 428 00:25:28,119 --> 00:25:31,639 Speaker 1: were most popular with middle managers. UH wanted to like 429 00:25:31,800 --> 00:25:36,080 Speaker 1: send them to other people. Wrapped me up dabbed me 430 00:25:36,240 --> 00:25:40,840 Speaker 1: up as number seven. She she was number five. Six 431 00:25:40,960 --> 00:25:44,320 Speaker 1: is red flag Like that's pretty hey. I like to 432 00:25:44,359 --> 00:25:46,800 Speaker 1: think of a very loving step parent who's trying to 433 00:25:46,800 --> 00:25:52,159 Speaker 1: create Suez Canal. That was actually just a great moment 434 00:25:52,600 --> 00:25:56,159 Speaker 1: of the year. The size of that thing, um the 435 00:25:56,520 --> 00:26:00,440 Speaker 1: giant container ship, uh that clogged up the sue As Canal. 436 00:26:00,840 --> 00:26:04,320 Speaker 1: I'd be unhappy with that being on the being on 437 00:26:04,359 --> 00:26:07,800 Speaker 1: the list, and I liked the crop jobs of that 438 00:26:07,960 --> 00:26:10,920 Speaker 1: just being various places. It was a moment. I was 439 00:26:10,960 --> 00:26:13,200 Speaker 1: a real moment. Anything else that jumped out to you 440 00:26:13,560 --> 00:26:18,080 Speaker 1: from the list? Vin Diesel Family Baby, Yeah, that was 441 00:26:18,160 --> 00:26:21,280 Speaker 1: huge for us. Vin Diesel heads us Fast and Nefurious 442 00:26:21,320 --> 00:26:25,920 Speaker 1: as serves. Did a meme come out of the last movie? 443 00:26:26,320 --> 00:26:28,600 Speaker 1: Because I just always know Vin Diesel families just like 444 00:26:28,680 --> 00:26:31,080 Speaker 1: always a standard the last movie, there was a pop 445 00:26:31,119 --> 00:26:36,480 Speaker 1: off of memes about Vin Diesel and family. I think 446 00:26:36,480 --> 00:26:39,600 Speaker 1: it brought it back into the zite guy ding ding 447 00:26:40,280 --> 00:26:43,840 Speaker 1: and people were all again retweeting or I mean even 448 00:26:43,840 --> 00:26:46,040 Speaker 1: I think maybe it's been a minute since we had 449 00:26:46,200 --> 00:26:48,240 Speaker 1: a Fast and Furious movie because this one got pushed 450 00:26:48,280 --> 00:26:50,840 Speaker 1: back here due to the pandemic. So people are just 451 00:26:50,920 --> 00:26:52,920 Speaker 1: ready people are right, and you know what I think, 452 00:26:52,960 --> 00:26:55,080 Speaker 1: like there is a thing to say about like the 453 00:26:55,080 --> 00:26:59,960 Speaker 1: pandemic basically upping our our meme sort of power, because 454 00:27:00,000 --> 00:27:01,639 Speaker 1: all of a sudden, you know, it's like you're at 455 00:27:01,720 --> 00:27:03,399 Speaker 1: home and you're just doing it and you got we 456 00:27:03,440 --> 00:27:07,119 Speaker 1: all got meme time, you know, in the meme time, 457 00:27:07,480 --> 00:27:10,639 Speaker 1: we all created memes, so and we're so lonely that 458 00:27:10,720 --> 00:27:14,960 Speaker 1: we're like, Vin Diesel really is my family? Oh man, 459 00:27:15,200 --> 00:27:20,119 Speaker 1: that's when you're within your family. That's Olive Garden. Actually, 460 00:27:20,119 --> 00:27:21,920 Speaker 1: did you know that Ven Diesel owns a large amount 461 00:27:21,920 --> 00:27:25,480 Speaker 1: of stock in Alive Garden? He should if he gives 462 00:27:25,480 --> 00:27:27,600 Speaker 1: a funk about family. Why do you think I'm joking? 463 00:27:28,880 --> 00:27:31,560 Speaker 1: Oh he wait, so he's that's a joke. If that's 464 00:27:31,560 --> 00:27:35,600 Speaker 1: a joke, you're fucking up Vin Diesel. That's real. Okay, 465 00:27:35,760 --> 00:27:39,680 Speaker 1: we're back on track. The or section is just yeah, 466 00:27:39,800 --> 00:27:41,800 Speaker 1: or was the one I wanted to jump to. Yeah, 467 00:27:41,920 --> 00:27:47,360 Speaker 1: this feels like so consistent, just like effect or affect, 468 00:27:47,800 --> 00:27:49,800 Speaker 1: Like I feel like that's got to be top right 469 00:27:49,840 --> 00:27:54,159 Speaker 1: consistently through the years, Like the years actually got those 470 00:27:54,200 --> 00:27:59,520 Speaker 1: definitions separately tattooed on my body. Your memento is just 471 00:27:59,560 --> 00:28:04,840 Speaker 1: like it can affect something rather than be an effect 472 00:28:04,880 --> 00:28:09,119 Speaker 1: of something. Yeah, it's just the thing is it's interesting, 473 00:28:09,200 --> 00:28:11,399 Speaker 1: is like they don't have it consistently every year, Like 474 00:28:11,440 --> 00:28:14,119 Speaker 1: the first five sections typically are the same, but they 475 00:28:14,119 --> 00:28:19,280 Speaker 1: don't have an or section for nine. And is it 476 00:28:19,359 --> 00:28:27,280 Speaker 1: boogie or boogee? That that's a spelling one, right, boogier? Yeah, 477 00:28:26,680 --> 00:28:30,520 Speaker 1: Like what do we do? Bones or no bones is 478 00:28:30,560 --> 00:28:32,720 Speaker 1: a meme? Right? That should be on the meme one, 479 00:28:32,880 --> 00:28:35,800 Speaker 1: I feel, but it qualifies here because it has a 480 00:28:35,920 --> 00:28:38,080 Speaker 1: or in the middle of it. It's a little bit sloppy, 481 00:28:38,440 --> 00:28:41,200 Speaker 1: you know, it's not it's not the purest either or type. 482 00:28:41,200 --> 00:28:45,360 Speaker 1: Bones or no bones is like the pug, right, you 483 00:28:45,440 --> 00:28:47,600 Speaker 1: tell me, Dad? So I think it was like somebody 484 00:28:47,640 --> 00:28:50,400 Speaker 1: had a pug that would predict what kind of day 485 00:28:50,520 --> 00:28:52,800 Speaker 1: was going to be based on if it looked like 486 00:28:52,840 --> 00:28:57,680 Speaker 1: it had bones bones or not. Oh this thing yeah 487 00:28:58,000 --> 00:29:02,000 Speaker 1: pretty cute. Well, I think another indication of how sad 488 00:29:02,080 --> 00:29:04,680 Speaker 1: we've become, where we're like, I don't know, meme pug, 489 00:29:05,120 --> 00:29:10,480 Speaker 1: tell me what is our future? Please now immediately? And 490 00:29:10,520 --> 00:29:15,520 Speaker 1: then sinus, I like sinus infection or COVID allergies or 491 00:29:15,600 --> 00:29:23,520 Speaker 1: COVID cold or COVID. I definitely hit allergies or COVID myself. Yeah, 492 00:29:23,640 --> 00:29:26,480 Speaker 1: and then I do fiser or Maderna Like, okay, I 493 00:29:26,560 --> 00:29:29,760 Speaker 1: like that. People. You see that story about how Neron 494 00:29:29,920 --> 00:29:33,480 Speaker 1: taking out those fiser antibodies. Good luck Jack. They just 495 00:29:33,520 --> 00:29:36,760 Speaker 1: said the third dose worked. Well, no, they said three 496 00:29:38,000 --> 00:29:42,520 Speaker 1: doing good. You're safe before it will kill you. So 497 00:29:42,840 --> 00:29:48,200 Speaker 1: it's real crap. Shoot. Yeah, actually, don't don't start staying 498 00:29:48,240 --> 00:29:52,640 Speaker 1: things and people are like, wait, what is it? No? Yeah, yeah, sorry, 499 00:29:52,680 --> 00:29:55,640 Speaker 1: that's that's a joke that cuts in the direction of antibactors. 500 00:29:55,720 --> 00:29:58,880 Speaker 1: So I will shut the funk up, but we will 501 00:29:58,920 --> 00:30:02,000 Speaker 1: lose Jack unfortunately, because he's a fighter guy and Miles 502 00:30:02,000 --> 00:30:04,800 Speaker 1: and I are both madern heads, so see uh he 503 00:30:05,040 --> 00:30:07,680 Speaker 1: well he also he took every vaccine. I don't think 504 00:30:07,680 --> 00:30:09,240 Speaker 1: you were there for that when he told us that. Yeah, 505 00:30:09,240 --> 00:30:12,520 Speaker 1: he said he got every single one. Collector and yeah, 506 00:30:14,240 --> 00:30:17,320 Speaker 1: I've gotten three J and jet Yeah he did three 507 00:30:17,400 --> 00:30:21,840 Speaker 1: J and j's for his booster turning the bottle of 508 00:30:21,880 --> 00:30:25,360 Speaker 1: baby shampoo. I keep some jan J sitting Ben up 509 00:30:25,360 --> 00:30:28,600 Speaker 1: in the stairways. Also shout out to Olivia Rodrigo. She 510 00:30:28,720 --> 00:30:33,160 Speaker 1: got two of the top ten song searches theah, you 511 00:30:33,280 --> 00:30:36,720 Speaker 1: know three, what am I saying? Deja vu? Whoa strawberry 512 00:30:36,800 --> 00:30:42,360 Speaker 1: ice cream in Malibu? Let him know? Mhm, A good one. 513 00:30:42,520 --> 00:30:45,080 Speaker 1: I don't I don't know. I heard the driver's license one. 514 00:30:45,120 --> 00:30:48,040 Speaker 1: I'm a little checked out. When it comes to Olivia Rodrigo, 515 00:30:48,720 --> 00:30:51,880 Speaker 1: I got it all through Osmosis from her majesty and 516 00:30:51,920 --> 00:30:54,479 Speaker 1: then a couple of ones. I was like it was 517 00:30:54,520 --> 00:30:55,760 Speaker 1: it was one of those albums. I was like, Oh, 518 00:30:55,760 --> 00:30:57,360 Speaker 1: this is gonna be pretty poppy. But then I was like, 519 00:30:57,360 --> 00:31:00,720 Speaker 1: oh the production pretty good. Olivia Rodrick, now help us 520 00:31:00,760 --> 00:31:05,960 Speaker 1: get everyone vaccinated. And she tried. She did her, She 521 00:31:06,040 --> 00:31:09,960 Speaker 1: did her best TV shows. You got the expected what 522 00:31:10,000 --> 00:31:15,240 Speaker 1: you'd expect, Squid Game, Briton one Division, then number four 523 00:31:15,560 --> 00:31:18,640 Speaker 1: coming in Hut Jenny and Georgia. Didn't expect to see 524 00:31:18,680 --> 00:31:22,120 Speaker 1: that one. You watch that caught me looking? Yeah I did, 525 00:31:22,200 --> 00:31:24,960 Speaker 1: I did watch that, but um, you know why I 526 00:31:25,040 --> 00:31:28,520 Speaker 1: blew up Taylor Swift did uh what is it the 527 00:31:28,920 --> 00:31:33,280 Speaker 1: barber stride sand effect or whatever, tweeting out because there 528 00:31:33,320 --> 00:31:35,920 Speaker 1: was They make a joke in the show about Taylor 529 00:31:35,960 --> 00:31:38,320 Speaker 1: Swift dating a bunch of different dudes and they're like, 530 00:31:38,320 --> 00:31:40,000 Speaker 1: what do you Taylor Swift, so I don't know something 531 00:31:40,040 --> 00:31:43,240 Speaker 1: like that. Taylor Swift got upset, tweeted about the show 532 00:31:43,320 --> 00:31:45,800 Speaker 1: having this joke, which I'm like, this girl's got forty 533 00:31:45,840 --> 00:31:50,280 Speaker 1: Google alerts a second about her deserving all of them 534 00:31:50,320 --> 00:31:53,200 Speaker 1: and um, and then she tweeted it out to be 535 00:31:53,280 --> 00:31:56,400 Speaker 1: like this is inappropriate Netflix, why would you come for 536 00:31:56,440 --> 00:31:58,720 Speaker 1: women like that? And then proceeded to blow the shop 537 00:31:58,960 --> 00:32:02,000 Speaker 1: because everyone's like, well, I got love it, Like all 538 00:32:02,040 --> 00:32:05,840 Speaker 1: they coming for Taylor Swift were here. So I think 539 00:32:05,880 --> 00:32:08,560 Speaker 1: she invertedly popped off the show when she was actually 540 00:32:08,560 --> 00:32:11,080 Speaker 1: trying to scold Netflix for allowing them to include a 541 00:32:11,160 --> 00:32:14,760 Speaker 1: very brief throwaway joke about her in like episode eight. 542 00:32:15,320 --> 00:32:18,680 Speaker 1: Mm hm, well the Power of the Swift Cobra Kai 543 00:32:18,880 --> 00:32:23,080 Speaker 1: number five. Uh. They must had a new season this season. Yeah, 544 00:32:23,120 --> 00:32:25,760 Speaker 1: I only watched the first two. Yeah, but there's that 545 00:32:25,920 --> 00:32:28,320 Speaker 1: I liked them, and then the only ones I really 546 00:32:28,400 --> 00:32:33,080 Speaker 1: watched on Your Squid Game, Mayor of East Town. Yeo. 547 00:32:33,520 --> 00:32:37,680 Speaker 1: So I just have to once again, there's a movie 548 00:32:37,760 --> 00:32:39,880 Speaker 1: that's getting a lot of buzz called The Power of 549 00:32:39,880 --> 00:32:44,400 Speaker 1: the Dog. It's very good, but it's it starts Bennet 550 00:32:44,360 --> 00:32:48,800 Speaker 1: at Cumberbatch and he's getting a lot of buzz for 551 00:32:48,880 --> 00:32:53,200 Speaker 1: like a wardship. He cannot do an American accent. It's 552 00:32:53,200 --> 00:32:57,760 Speaker 1: a Western and he's like, what are you doing? Cool? My, 553 00:32:58,080 --> 00:33:01,600 Speaker 1: Like it's like real, like he's you can like see 554 00:33:02,000 --> 00:33:04,960 Speaker 1: he's burning a thousand calories every time he has to 555 00:33:05,000 --> 00:33:08,160 Speaker 1: like say certain words. And I just have to once 556 00:33:08,160 --> 00:33:11,520 Speaker 1: again shout out to what Kate Winslett did in Mayor 557 00:33:11,760 --> 00:33:17,480 Speaker 1: of Easta that like just the greatest moment of that 558 00:33:17,720 --> 00:33:20,800 Speaker 1: show for me was just like cutting to an interview 559 00:33:20,840 --> 00:33:23,840 Speaker 1: with her after and her speaking in a British accent 560 00:33:24,040 --> 00:33:28,080 Speaker 1: and me like having totally forgotten that, uh you know, 561 00:33:28,160 --> 00:33:30,680 Speaker 1: she wasn't she wasn't mayor. Do you want to hear 562 00:33:30,720 --> 00:33:34,960 Speaker 1: my impression of Mayor Vy's town if she was a podcaster? Guys, 563 00:33:35,360 --> 00:33:39,920 Speaker 1: we need to record a poisterl No, no, no, that 564 00:33:40,080 --> 00:33:43,000 Speaker 1: you had that big, so strong when the show was remember, 565 00:33:44,280 --> 00:33:52,800 Speaker 1: we need to record a poister roll poist Sydney. Yeah, 566 00:33:52,880 --> 00:33:54,680 Speaker 1: it's something like that. I to do it better when 567 00:33:54,680 --> 00:33:56,200 Speaker 1: the show was actually on it and I would just 568 00:33:56,280 --> 00:34:00,240 Speaker 1: talk like her, Yeah, boys, we need to record. It's 569 00:34:00,280 --> 00:34:06,680 Speaker 1: like a boy record. There was this article that came 570 00:34:06,680 --> 00:34:09,359 Speaker 1: out recently that was like do actually, like, do good 571 00:34:09,400 --> 00:34:13,520 Speaker 1: accents even matter anymore? And they were juxtaposing that with 572 00:34:13,640 --> 00:34:16,719 Speaker 1: like Lady Gaga on how s a Gucci? And I 573 00:34:16,800 --> 00:34:19,120 Speaker 1: think even the cumber Batch thing where they're just sort 574 00:34:19,160 --> 00:34:20,960 Speaker 1: of like, I don't know if it even matters, you know, 575 00:34:21,000 --> 00:34:23,640 Speaker 1: if you're sucking up at this point, it's a great 576 00:34:23,760 --> 00:34:26,160 Speaker 1: it's a great performance, like it is like when the 577 00:34:26,160 --> 00:34:29,640 Speaker 1: movie works really well. It just stressed me out at 578 00:34:29,640 --> 00:34:32,399 Speaker 1: the beginning. When I realized he wasn't pulling it off, 579 00:34:32,600 --> 00:34:38,960 Speaker 1: I was like, oh, yeah, may I defend the accent 580 00:34:39,040 --> 00:34:41,919 Speaker 1: work in film work like the Power of the Dog? 581 00:34:42,080 --> 00:34:45,640 Speaker 1: Is that what it was called? Yeah? That era accents 582 00:34:45,640 --> 00:34:48,319 Speaker 1: were a mess because we were transitioning from a more 583 00:34:48,360 --> 00:34:53,759 Speaker 1: British sounding nonsense to a more less British sounding to 584 00:34:53,840 --> 00:34:56,399 Speaker 1: what we now deemed the American accent. So I don't 585 00:34:56,600 --> 00:35:00,600 Speaker 1: think there is too much of it, a like a 586 00:35:00,840 --> 00:35:04,360 Speaker 1: right accent if the movie is it takes place in 587 00:35:04,440 --> 00:35:07,040 Speaker 1: a time that's old enough in this country. Because there 588 00:35:07,160 --> 00:35:09,560 Speaker 1: was such a kind of I don't what am I 589 00:35:09,600 --> 00:35:11,480 Speaker 1: even doing defending America? You know what, You're right, his 590 00:35:11,600 --> 00:35:16,000 Speaker 1: accent sucked. Hey, they're just transitioning out of their their 591 00:35:16,040 --> 00:35:19,200 Speaker 1: colonizer swag. No. I mean it's like, I don't think 592 00:35:19,239 --> 00:35:23,160 Speaker 1: accents like back then when this movie supposedly takes place 593 00:35:23,280 --> 00:35:26,359 Speaker 1: in quotes, I don't think there was like I think 594 00:35:26,360 --> 00:35:28,759 Speaker 1: accents were all over the place because there was still 595 00:35:28,760 --> 00:35:32,759 Speaker 1: such like colonizing and like, you know, the UK and 596 00:35:32,800 --> 00:35:36,200 Speaker 1: then you know, I've also heard the UK had more 597 00:35:36,239 --> 00:35:39,080 Speaker 1: of an accent like the South way way way, way 598 00:35:39,120 --> 00:35:42,000 Speaker 1: way long time ago. That that or not even maybe 599 00:35:42,040 --> 00:35:45,400 Speaker 1: like the South but more like Boston that was. Yeah, 600 00:35:45,400 --> 00:35:48,560 Speaker 1: that then was morphed into this more like classies sort 601 00:35:48,640 --> 00:35:51,600 Speaker 1: of British, you know, like they made that ship up. 602 00:35:51,680 --> 00:35:56,840 Speaker 1: They were like, oh that sounds fancy as fun. They 603 00:35:56,920 --> 00:35:59,120 Speaker 1: used to be like, hey, you're watching the Sacks game. 604 00:36:00,280 --> 00:36:03,880 Speaker 1: I don't know. I'm sorry, I'm all tied everyone goodbye. 605 00:36:04,360 --> 00:36:06,720 Speaker 1: But yeah, I mean that shout out to the Industrial 606 00:36:06,760 --> 00:36:12,560 Speaker 1: Revolution for changing the accents too. Among the great greatest 607 00:36:12,560 --> 00:36:16,160 Speaker 1: things with the Industrial Revolution brought us yet to find 608 00:36:16,160 --> 00:36:22,800 Speaker 1: a bad one from the Industrial Revolution, just winning streak 609 00:36:23,440 --> 00:36:28,080 Speaker 1: ever since anything else from the from the overall page 610 00:36:28,200 --> 00:36:32,200 Speaker 1: of Google trends, before we bid a do you? Which, 611 00:36:32,280 --> 00:36:36,360 Speaker 1: let me just look up how to pronounce a do you? Yeah, 612 00:36:36,520 --> 00:36:42,719 Speaker 1: I think it. Um favorite recipe that got searched, um 613 00:36:42,920 --> 00:36:47,200 Speaker 1: is the like TikTok pasta. That's how you know we 614 00:36:47,239 --> 00:36:50,160 Speaker 1: are were too fun helping us is that people like, 615 00:36:50,239 --> 00:36:52,239 Speaker 1: how do you make that pasta on it? From TikTok? 616 00:36:53,640 --> 00:36:55,320 Speaker 1: Is that one with the big block of cheese and 617 00:36:55,320 --> 00:36:59,840 Speaker 1: the tomatoes? My favorite smashed potatoes? Guys, this is the 618 00:37:00,120 --> 00:37:02,960 Speaker 1: right there, just smashed the potatoes. There's ones, Yeah, I 619 00:37:03,719 --> 00:37:06,319 Speaker 1: think I don't know. The one. I just appreciate that 620 00:37:06,360 --> 00:37:10,320 Speaker 1: bevideo tacos is number three that became and I think, honestly, 621 00:37:10,360 --> 00:37:14,720 Speaker 1: and that's also as a result of the Internet because 622 00:37:15,239 --> 00:37:18,560 Speaker 1: like the dunking of the beadia taco into the consummate, 623 00:37:19,160 --> 00:37:23,440 Speaker 1: that has just become like standard issue food porn on 624 00:37:23,480 --> 00:37:26,360 Speaker 1: social media. So good to see out there, good to 625 00:37:26,360 --> 00:37:27,960 Speaker 1: see out there media. I wish that was like a 626 00:37:28,040 --> 00:37:30,919 Speaker 1: top porn trends search as well. You know, I'm sure 627 00:37:30,960 --> 00:37:34,040 Speaker 1: that that porn hub will be issuing that and when 628 00:37:34,080 --> 00:37:36,600 Speaker 1: they do, um, we will do an hour and a 629 00:37:36,680 --> 00:37:42,239 Speaker 1: half on what you sip? Yeah so that mom, right, 630 00:37:42,520 --> 00:37:47,840 Speaker 1: isn't that the main one? I remember? Well? Yeah, remember 631 00:37:47,960 --> 00:37:51,080 Speaker 1: we have clicked on that link. Yeah, I remember going 632 00:37:51,080 --> 00:37:54,000 Speaker 1: and searching step Mamaton and I was like, this must 633 00:37:54,000 --> 00:37:58,239 Speaker 1: do well, very good work. So wait, if you're in 634 00:37:58,320 --> 00:38:00,680 Speaker 1: your thirties, that just means you have to start saying 635 00:38:00,680 --> 00:38:05,200 Speaker 1: you're step mom. Do you want to hook up with 636 00:38:05,320 --> 00:38:08,000 Speaker 1: everyone step mom? Period? Doesn't matter who they are, what 637 00:38:08,040 --> 00:38:11,239 Speaker 1: they do. You just want everyone's step mom, right right? Right? 638 00:38:11,880 --> 00:38:14,279 Speaker 1: Who do your own step mom? I guess I don't know. Yeah, 639 00:38:14,280 --> 00:38:17,680 Speaker 1: I think I think the backstories as I understand them 640 00:38:17,719 --> 00:38:21,960 Speaker 1: are always uh step mom and uh step you know, 641 00:38:22,680 --> 00:38:28,279 Speaker 1: it's like step step other human being. Yeah, well, I 642 00:38:28,320 --> 00:38:29,839 Speaker 1: think I don't know when that we're going to get 643 00:38:29,880 --> 00:38:32,680 Speaker 1: their their year in review one, but I know it's coming. 644 00:38:32,800 --> 00:38:36,560 Speaker 1: I know it's coming. Yeah. Anyways, that's what That's what 645 00:38:36,600 --> 00:38:41,319 Speaker 1: was most trending in according to Google. Try harder next 646 00:38:41,400 --> 00:38:45,919 Speaker 1: year and uh Google harder. That's gonna do it. We're 647 00:38:45,960 --> 00:38:49,920 Speaker 1: back with more special episodes pretty soon and we'll talk 648 00:38:49,960 --> 00:38:53,160 Speaker 1: to you all then bye. Not to bad