1 00:00:02,600 --> 00:00:04,680 Speaker 1: Hey guys, we are back on the normally. So when 2 00:00:04,720 --> 00:00:08,039 Speaker 1: normalis it takes for when the news gets weird. Carol 3 00:00:08,240 --> 00:00:12,280 Speaker 1: is enjoying her vacation and for all of her various troops, 4 00:00:12,320 --> 00:00:15,280 Speaker 1: and we have with us Kelly Maher from the beautiful 5 00:00:15,280 --> 00:00:19,200 Speaker 1: state of Colorado, joining us once again to make sense 6 00:00:19,239 --> 00:00:21,320 Speaker 1: of some of the news. 7 00:00:21,800 --> 00:00:24,960 Speaker 2: How's it going, kel making sense ish of some of 8 00:00:25,000 --> 00:00:25,480 Speaker 2: the news? 9 00:00:25,600 --> 00:00:28,040 Speaker 1: Ish. We do our best. We do what we try 10 00:00:28,120 --> 00:00:33,560 Speaker 1: to provide. I have just come from a seven hour 11 00:00:33,680 --> 00:00:37,800 Speaker 1: odyssey of dropping kids at camp and then driving back 12 00:00:37,840 --> 00:00:41,599 Speaker 1: with other kids from said camp. So I dropped two 13 00:00:41,600 --> 00:00:45,200 Speaker 1: bigs at camp, two littles came with me. Two littles 14 00:00:45,240 --> 00:00:47,400 Speaker 1: are now in bed so that I can do my work. 15 00:00:47,479 --> 00:00:49,240 Speaker 1: So we did it. 16 00:00:50,080 --> 00:00:52,120 Speaker 2: You did it. It sounds my lasting. 17 00:00:52,280 --> 00:00:54,880 Speaker 1: And I guess my older kids are enjoying themselves. I 18 00:00:54,880 --> 00:00:58,200 Speaker 1: don't know. I won't hear from them. They said to me, 19 00:00:58,400 --> 00:01:02,160 Speaker 1: or one of them said to me as I left, bye, mom, love, 20 00:01:02,160 --> 00:01:04,440 Speaker 1: you have fun doing our chores while we're gone. And 21 00:01:04,520 --> 00:01:06,360 Speaker 1: I was like, this is what I paid good money for. 22 00:01:06,720 --> 00:01:07,480 Speaker 1: This is what I paid. 23 00:01:07,760 --> 00:01:10,679 Speaker 2: Yeah, little I like a little bit of SaaS. I 24 00:01:10,680 --> 00:01:11,399 Speaker 2: think that's good. 25 00:01:12,400 --> 00:01:13,959 Speaker 1: It's good This is what I get for making them 26 00:01:13,959 --> 00:01:16,640 Speaker 1: independent and helpful. Yeah, I have to pay the price 27 00:01:16,720 --> 00:01:20,520 Speaker 1: when they're gone. Okay, shall we talk about what's going 28 00:01:20,520 --> 00:01:24,880 Speaker 1: on in the news. Okay, we've got yet another trade 29 00:01:24,920 --> 00:01:28,120 Speaker 1: deal asident. Donald Trump announced Sunday that the US reached 30 00:01:28,160 --> 00:01:31,240 Speaker 1: a trade deal with the European Union following pivotal discussions 31 00:01:31,520 --> 00:01:35,920 Speaker 1: with European Commission President Ursula vander Lehren. How is that 32 00:01:36,040 --> 00:01:41,560 Speaker 1: her name? Days before the August tariff deadline, Trump said 33 00:01:41,640 --> 00:01:44,040 Speaker 1: the deal imposed of fifteen percent tariff on most European 34 00:01:44,080 --> 00:01:47,240 Speaker 1: goods to the US, including cars, some products, including aircrafts 35 00:01:47,240 --> 00:01:50,040 Speaker 1: and their components. Some chemicals and pharmaceuticals will not be 36 00:01:50,040 --> 00:01:53,840 Speaker 1: subject to tariffs, vonder Lean said in a briefing after 37 00:01:53,880 --> 00:01:56,240 Speaker 1: the agreement was announced. She also said that the new 38 00:01:56,280 --> 00:01:58,880 Speaker 1: fifteen percent tariff rate would not be added to any 39 00:01:58,920 --> 00:02:02,080 Speaker 1: tariffs already an effect this is on you know, this 40 00:02:02,160 --> 00:02:06,800 Speaker 1: is on the heels of the Japan deal, so substance 41 00:02:06,800 --> 00:02:10,600 Speaker 1: of the deals aside. It does appear that he's making 42 00:02:10,880 --> 00:02:14,920 Speaker 1: the deals right. And my position on the on the 43 00:02:15,000 --> 00:02:17,280 Speaker 1: terroriffs is that I don't love it. You know, I'm 44 00:02:17,320 --> 00:02:19,239 Speaker 1: not a huge fan of the way this is happening, 45 00:02:19,840 --> 00:02:22,040 Speaker 1: because I think it's unwise to put one hundred and 46 00:02:22,080 --> 00:02:24,360 Speaker 1: sixty five trade deals on one's plate when one is 47 00:02:24,400 --> 00:02:28,200 Speaker 1: doing many other things. However, Donald Trump really likes tariffs 48 00:02:28,200 --> 00:02:30,440 Speaker 1: and he really likes deal making, so like he's happy, 49 00:02:30,720 --> 00:02:37,519 Speaker 1: and he promised this, so here we are, but progress 50 00:02:37,600 --> 00:02:42,639 Speaker 1: better than not making deals. So I'm okay with that part. 51 00:02:42,840 --> 00:02:46,200 Speaker 2: I mean, you and I tend to both be fairly 52 00:02:46,400 --> 00:02:52,120 Speaker 2: free marketing type of people, right, and therefore our tariff 53 00:02:52,320 --> 00:02:59,080 Speaker 2: skeptical generally, I mean policy. However, he also Trump also 54 00:02:59,160 --> 00:03:01,800 Speaker 2: mentioned that he's the it's likely there's going to be 55 00:03:01,840 --> 00:03:05,280 Speaker 2: a fifteen to twenty percent world wide tariff just kind 56 00:03:05,280 --> 00:03:09,359 Speaker 2: of across the board. And if that's the baseline, that 57 00:03:09,480 --> 00:03:14,720 Speaker 2: everybody just basically charges everybody else, it all. I'm not 58 00:03:14,760 --> 00:03:17,200 Speaker 2: saying that it all comes out in the wash, but 59 00:03:17,320 --> 00:03:22,639 Speaker 2: it then does become just the and the ability for 60 00:03:22,720 --> 00:03:27,000 Speaker 2: businesses to anticipate the cost of doing business right, and 61 00:03:27,360 --> 00:03:30,640 Speaker 2: being able to anticipate the cost of doing business is 62 00:03:30,760 --> 00:03:36,520 Speaker 2: one of the core and most important underpinnings of capitalism 63 00:03:36,880 --> 00:03:37,600 Speaker 2: that we both love. 64 00:03:37,760 --> 00:03:42,080 Speaker 1: Yeah, pretty pretty important stuff. Some have noted that the 65 00:03:42,120 --> 00:03:45,600 Speaker 1: White House's fact sheet differs from the story that the 66 00:03:45,640 --> 00:03:50,800 Speaker 1: European Union is telling, So we'll see how that comes 67 00:03:50,800 --> 00:03:53,880 Speaker 1: out in the wash. I mean such as such as 68 00:03:53,960 --> 00:03:59,120 Speaker 1: the like danger of doing a lot of deals quite quickly. 69 00:04:00,640 --> 00:04:03,360 Speaker 1: Normally these things take a lot of time and many 70 00:04:03,400 --> 00:04:06,600 Speaker 1: people to be involved in them, And I would I 71 00:04:06,640 --> 00:04:08,520 Speaker 1: don't think that's a perfect system. I think it probably 72 00:04:08,600 --> 00:04:11,200 Speaker 1: took too long to make free trade deals in the past, 73 00:04:11,840 --> 00:04:15,880 Speaker 1: and as always with Donald Trump, the pendulum just woo swings. 74 00:04:16,200 --> 00:04:20,920 Speaker 1: But I would say that I was worried about what 75 00:04:21,240 --> 00:04:23,919 Speaker 1: the first six months of his presidency would look like 76 00:04:24,000 --> 00:04:28,200 Speaker 1: economically because of the announcement of Liberation Day and what 77 00:04:28,400 --> 00:04:31,280 Speaker 1: that would mean for international trade. That does not mean 78 00:04:31,279 --> 00:04:34,000 Speaker 1: there haven't been costs for small businesses, for people who 79 00:04:34,600 --> 00:04:36,919 Speaker 1: really have had hurdles thrown up in their way, people 80 00:04:36,920 --> 00:04:39,400 Speaker 1: who have had to change business plans on a dime, 81 00:04:39,520 --> 00:04:45,440 Speaker 1: even in large corporations because of these ever changing plans. 82 00:04:45,480 --> 00:04:50,120 Speaker 1: But as a larger picture, the effect has not been 83 00:04:50,160 --> 00:04:52,120 Speaker 1: what I thought it might be on the economy in 84 00:04:52,160 --> 00:04:54,479 Speaker 1: any sort of in a large negative way. 85 00:04:55,000 --> 00:04:55,160 Speaker 2: Right. 86 00:04:56,080 --> 00:04:58,120 Speaker 1: Yeah, I know I'm damning with faint praise, but like 87 00:04:58,480 --> 00:05:01,039 Speaker 1: I'm a skeptic, so that's where I out right. 88 00:05:01,279 --> 00:05:06,240 Speaker 2: Right I it's sometimes less bad than you thought it 89 00:05:06,320 --> 00:05:09,760 Speaker 2: was possibly going to be. It's just kind of it's 90 00:05:09,800 --> 00:05:11,719 Speaker 2: the thing that we've talked about over and over again. 91 00:05:12,120 --> 00:05:15,279 Speaker 2: It's like, maybe it's all just kind of fine. Right, 92 00:05:15,360 --> 00:05:19,880 Speaker 2: It's not always the best, but it's not this doom 93 00:05:19,920 --> 00:05:23,480 Speaker 2: and gloom that we keep being sold is coming down 94 00:05:23,520 --> 00:05:24,080 Speaker 2: the well, and. 95 00:05:24,040 --> 00:05:26,560 Speaker 1: That a lot of us, perhaps even all the countries 96 00:05:26,560 --> 00:05:30,400 Speaker 1: who are dealing with Trump, are doing the same thing 97 00:05:30,400 --> 00:05:32,800 Speaker 1: we're doing, which is like, maybe it'll all come out 98 00:05:32,800 --> 00:05:36,400 Speaker 1: in the wash. Like that's sort of that's sort of 99 00:05:36,400 --> 00:05:40,160 Speaker 1: where everyone is in the way that they're dealing with this. 100 00:05:41,680 --> 00:05:44,880 Speaker 1: So he's got that going for him. I do think, 101 00:05:45,040 --> 00:05:49,240 Speaker 1: you know, gas prices look promising for him. Inflation has 102 00:05:49,400 --> 00:05:52,080 Speaker 1: ticked down, even though of course cost of living still 103 00:05:52,120 --> 00:05:57,440 Speaker 1: feels very tough on people. Egg prices way down because 104 00:05:57,440 --> 00:06:01,880 Speaker 1: that was a spec problem that was called caused by 105 00:06:01,880 --> 00:06:06,200 Speaker 1: a specific thing that has to some extent been relieved. 106 00:06:06,800 --> 00:06:09,840 Speaker 1: And here we are so. 107 00:06:11,480 --> 00:06:16,719 Speaker 2: Ands as moms of collectively six children, two of us. 108 00:06:17,720 --> 00:06:22,400 Speaker 2: I like, the access to cheap protein is very important 109 00:06:22,440 --> 00:06:24,839 Speaker 2: to people, and eggs is a huge way to do that. 110 00:06:24,920 --> 00:06:26,599 Speaker 1: My five year old eggs were killing me. 111 00:06:26,680 --> 00:06:26,840 Speaker 3: Man. 112 00:06:27,040 --> 00:06:30,560 Speaker 2: Yeah, well, I know you and I both do pretty 113 00:06:30,600 --> 00:06:33,440 Speaker 2: high protein, and we both consume a lot of eggs, 114 00:06:33,440 --> 00:06:35,880 Speaker 2: as do all of our children. And I mean my 115 00:06:36,040 --> 00:06:40,440 Speaker 2: five year old eats between six and eight eggs every day. 116 00:06:41,680 --> 00:06:45,080 Speaker 2: She has very I have very children all and I 117 00:06:45,120 --> 00:06:49,840 Speaker 2: have gigantic children, and when they are teenagers, I will be. 118 00:06:50,240 --> 00:06:52,240 Speaker 1: You're gonna be broke. I'm gonna have to give you 119 00:06:52,279 --> 00:06:57,520 Speaker 1: a GoFundMe so you. Hewittt once asked me how many 120 00:06:57,920 --> 00:07:00,400 Speaker 1: eggs my family eats per week, and I was like, 121 00:07:00,440 --> 00:07:04,080 Speaker 1: I couldn't even tell you because my husband orders so 122 00:07:04,279 --> 00:07:07,559 Speaker 1: many of them from Costco that there's just an ever 123 00:07:07,680 --> 00:07:12,760 Speaker 1: supplied stack of them in there and like large industrial 124 00:07:14,280 --> 00:07:19,320 Speaker 1: straight from the farm cartons that are like expanded, and 125 00:07:19,680 --> 00:07:22,600 Speaker 1: so I couldn't tell you. I can't keep count point 126 00:07:22,600 --> 00:07:25,720 Speaker 1: being cheaper egs better for both of us. And we 127 00:07:25,840 --> 00:07:29,440 Speaker 1: are not just political junkies, but mom voters who people 128 00:07:29,440 --> 00:07:31,400 Speaker 1: should be interested in reaching. It's true. 129 00:07:31,480 --> 00:07:34,160 Speaker 2: Yeah, we don't buy the cartons. We buy the boxes. 130 00:07:34,320 --> 00:07:37,240 Speaker 1: Right, it's a palate, it's a talent X. 131 00:07:39,360 --> 00:07:43,080 Speaker 2: It's true. One thing I talked to you about earlier today, 132 00:07:43,240 --> 00:07:47,760 Speaker 2: Mary Catherine, was an interesting article that came across my 133 00:07:48,720 --> 00:07:53,920 Speaker 2: Twitter and my texts today was about the housing market. Yeah, 134 00:07:54,080 --> 00:07:57,680 Speaker 2: and that's actually a different economic indicator that I'm paying 135 00:07:57,720 --> 00:07:58,840 Speaker 2: attention to right now. 136 00:07:59,240 --> 00:08:00,720 Speaker 1: But the some of. 137 00:08:00,640 --> 00:08:07,280 Speaker 2: These very large home homebuilders are hitting new and high 138 00:08:07,440 --> 00:08:11,480 Speaker 2: levels of having to incentivize people getting into new homes. 139 00:08:11,840 --> 00:08:15,400 Speaker 2: And you know me, I'm an economic nerd, right, And 140 00:08:15,760 --> 00:08:20,640 Speaker 2: so I was reading some of these indices, some of 141 00:08:20,680 --> 00:08:26,120 Speaker 2: these indicators that are coming out, and we're seeing new 142 00:08:26,640 --> 00:08:31,720 Speaker 2: inventory on the market at levels that we haven't seen 143 00:08:31,760 --> 00:08:35,880 Speaker 2: since two thousand and nine. And the last six times 144 00:08:35,920 --> 00:08:39,920 Speaker 2: that we have seen levels this high of new homes 145 00:08:40,280 --> 00:08:43,920 Speaker 2: that people aren't moving in one. Yeah, that are just 146 00:08:44,160 --> 00:08:46,560 Speaker 2: sitting on the shelf, if you will, but they're sitting 147 00:08:46,960 --> 00:08:50,240 Speaker 2: on their lots of land without families moving into them. 148 00:08:51,880 --> 00:08:54,440 Speaker 2: Five out of the last six times that we have 149 00:08:54,559 --> 00:08:58,199 Speaker 2: hit these levels, it has then been followed with a recession. 150 00:08:59,679 --> 00:09:03,240 Speaker 1: Yeah. So a good canary in the coal mine perhaps 151 00:09:03,280 --> 00:09:05,920 Speaker 1: for people to be paying attention to. And this is 152 00:09:05,960 --> 00:09:10,240 Speaker 1: something that I think is important for particularly for political 153 00:09:10,920 --> 00:09:13,720 Speaker 1: people who work on political campaigns, people who are into 154 00:09:13,720 --> 00:09:17,280 Speaker 1: politics who have partisan designs on who they would like 155 00:09:17,400 --> 00:09:20,600 Speaker 1: to win. You do want to be looking out for 156 00:09:21,240 --> 00:09:25,000 Speaker 1: things to be worried about. Right, you don't just go 157 00:09:25,120 --> 00:09:28,439 Speaker 1: like everything's peachy keen. You do need to watch out 158 00:09:29,160 --> 00:09:31,840 Speaker 1: for what the things are that could be the arguments 159 00:09:31,880 --> 00:09:34,640 Speaker 1: you need to be making a year from now, And 160 00:09:34,679 --> 00:09:37,560 Speaker 1: one of those arguments may be on a broader sort 161 00:09:37,600 --> 00:09:43,680 Speaker 1: of optimism about people investing in new properties, an issue 162 00:09:43,720 --> 00:09:46,440 Speaker 1: with interest rates. I think our family is a great 163 00:09:46,480 --> 00:09:49,160 Speaker 1: example of a family that if interest rates were lower, 164 00:09:49,160 --> 00:09:52,720 Speaker 1: we would probably look at upgrading to a larger house 165 00:09:52,760 --> 00:09:54,960 Speaker 1: because we are stacked like an aircraft carrier in here. 166 00:09:55,400 --> 00:09:59,480 Speaker 1: But we are just like, let the kids all be 167 00:09:59,600 --> 00:10:03,680 Speaker 1: in one, it's the main let them destroy the nursery together, 168 00:10:04,640 --> 00:10:06,960 Speaker 1: and that's good and healthy to something stent for building 169 00:10:07,600 --> 00:10:09,960 Speaker 1: it is, but for the economy, I'm sure like we're 170 00:10:10,000 --> 00:10:13,840 Speaker 1: the kind of family that people would we'd be the 171 00:10:13,880 --> 00:10:16,360 Speaker 1: perfect case that would be like, oh yeah, we'll upgrade 172 00:10:16,400 --> 00:10:18,360 Speaker 1: at this point, but we have chosen not to do 173 00:10:18,400 --> 00:10:21,520 Speaker 1: that at these rate levels. So I think that's something 174 00:10:21,520 --> 00:10:24,880 Speaker 1: that will be part of the landscape when it comes 175 00:10:24,920 --> 00:10:26,760 Speaker 1: to twenty twenty six. Okay, we're going to talk about 176 00:10:26,800 --> 00:10:29,760 Speaker 1: a little bit more about Trump's fortunes, what that means 177 00:10:29,800 --> 00:10:32,640 Speaker 1: for twenty twenty six. Some other warning signs when we 178 00:10:32,679 --> 00:10:39,880 Speaker 1: are back on normal. All right, we are back on normally, 179 00:10:40,160 --> 00:10:42,840 Speaker 1: and I want to play. It's become a little bit 180 00:10:42,840 --> 00:10:45,880 Speaker 1: of a tradition on normally to play Harry Anton, who 181 00:10:45,920 --> 00:10:50,000 Speaker 1: is the data guy over at CNN, and he's always 182 00:10:50,240 --> 00:10:53,680 Speaker 1: I like Harry Anton. I think he's smart. And one 183 00:10:53,679 --> 00:10:55,840 Speaker 1: thing I like about him is that he understands what's 184 00:10:55,880 --> 00:11:00,720 Speaker 1: newsworthy and what's newsworthy our results that the the audience 185 00:11:00,840 --> 00:11:05,920 Speaker 1: is not expecting but are nonetheless based in data. Okay. 186 00:11:06,960 --> 00:11:09,719 Speaker 1: That can be jarring for the audience, and it can 187 00:11:09,760 --> 00:11:13,079 Speaker 1: also be jarring for the people hosting the show at CNN, 188 00:11:13,160 --> 00:11:17,120 Speaker 1: where he's constantly giving them Trump numbers that make them go, 189 00:11:18,320 --> 00:11:21,120 Speaker 1: surely that can't be right, Harry, And he's like, it is, 190 00:11:21,200 --> 00:11:26,200 Speaker 1: and stop calling me Shirley. He's like every time, he's like, 191 00:11:26,480 --> 00:11:29,080 Speaker 1: well so, and you and I talked about this whole time. 192 00:11:29,120 --> 00:11:33,400 Speaker 1: Trump is a cat falling off a counter like somehow 193 00:11:34,000 --> 00:11:37,480 Speaker 1: things come together. He has a sort of savant nature 194 00:11:37,880 --> 00:11:43,200 Speaker 1: of finding the right place to be, and in this case, 195 00:11:43,240 --> 00:11:45,320 Speaker 1: this is foreign policy, and I think he's earned this one. 196 00:11:45,840 --> 00:11:49,679 Speaker 1: But it is funny to watch Harry Inton explain it 197 00:11:49,679 --> 00:11:51,800 Speaker 1: to CNN So let's do a minute of that clip 198 00:11:51,800 --> 00:11:53,880 Speaker 1: of Harry talking to CNN viewers. 199 00:11:55,040 --> 00:11:57,440 Speaker 3: Yeah, this one was a surprising one to me, given 200 00:11:57,480 --> 00:11:59,559 Speaker 3: everything that's going on in Russia, what happened in Iran, 201 00:11:59,600 --> 00:12:01,840 Speaker 3: what happened and in Gaza. But the bottom line is 202 00:12:01,960 --> 00:12:05,520 Speaker 3: Democrats in the American voters' minds cannot hacket. What are 203 00:12:05,520 --> 00:12:08,079 Speaker 3: we talking about? Party trusted more and foreign policy? Well, 204 00:12:08,080 --> 00:12:10,120 Speaker 3: the GOP holds an average six point leading the month 205 00:12:10,120 --> 00:12:12,360 Speaker 3: of July. Look at this. Fox News came out last 206 00:12:12,360 --> 00:12:15,440 Speaker 3: week plus three points four Republicans on foreign policy over 207 00:12:15,480 --> 00:12:17,920 Speaker 3: the Democrats. You think that number is not high enough 208 00:12:17,920 --> 00:12:20,600 Speaker 3: for you? How about the Wall Street Journal GOP plus 209 00:12:20,640 --> 00:12:24,120 Speaker 3: eight points when they match congressional Democrats up against congressional Republicans. 210 00:12:24,280 --> 00:12:27,320 Speaker 3: The bottom line is this, despite everything that's going on 211 00:12:27,360 --> 00:12:30,320 Speaker 3: in the world right now, Republicans are more trusted on 212 00:12:30,400 --> 00:12:33,200 Speaker 3: Democrats when it comes to foreign policy and the world 213 00:12:33,240 --> 00:12:36,840 Speaker 3: at large. How has this changed through How does this 214 00:12:36,920 --> 00:12:39,600 Speaker 3: compare to during the campaign. Yeah, again, this to me 215 00:12:39,720 --> 00:12:42,160 Speaker 3: was a surprising number. Since Donald Trump said he'd come 216 00:12:42,200 --> 00:12:44,040 Speaker 3: in and broke all these peace deals. And while he's 217 00:12:44,040 --> 00:12:48,280 Speaker 3: brokeered some, he hasn't obviously brokered one between Ukraine and Russia, 218 00:12:48,280 --> 00:12:50,559 Speaker 3: and obviously the situation in Gaza. But take a look 219 00:12:50,600 --> 00:12:52,680 Speaker 3: here trust More and foreign policy. You go back to 220 00:12:52,720 --> 00:12:55,439 Speaker 3: twenty twenty four, Trump had a six point advantage over 221 00:12:55,480 --> 00:12:58,640 Speaker 3: Kamala Harris. Again, look at the average right now. It 222 00:12:58,840 --> 00:13:01,960 Speaker 3: hasn't moved despite everything that's going on in the world. 223 00:13:02,040 --> 00:13:04,800 Speaker 3: You see Republicans plus six points here. 224 00:13:05,040 --> 00:13:07,040 Speaker 1: So I think there's a flaw in his reasoning, which 225 00:13:07,080 --> 00:13:09,320 Speaker 1: is despite everything that's going on in the world. And 226 00:13:09,360 --> 00:13:13,120 Speaker 1: I would say perhaps because of everything that's going on 227 00:13:13,120 --> 00:13:15,320 Speaker 1: in the world, such as bombing the crap out of 228 00:13:15,320 --> 00:13:19,280 Speaker 1: Iran's nuclear facilities, which most people are like, look at us, 229 00:13:19,880 --> 00:13:27,400 Speaker 1: that seems good, sensible, successful. I'm impressed his point is 230 00:13:27,400 --> 00:13:29,720 Speaker 1: well taken. That obviously there was not a peace deal 231 00:13:29,760 --> 00:13:32,160 Speaker 1: between Ukraine and Russia within twenty four hours, which I 232 00:13:32,160 --> 00:13:34,600 Speaker 1: believe is what Trump said he could pull off. I'm 233 00:13:34,640 --> 00:13:38,560 Speaker 1: not sure everyone actually expected that to happen. I think 234 00:13:38,840 --> 00:13:43,520 Speaker 1: Trump has been some of his rhetoric on Ukraine is 235 00:13:43,559 --> 00:13:47,200 Speaker 1: like a little squishy sometimes, but I also understand his 236 00:13:47,320 --> 00:13:49,280 Speaker 1: larger point, which is that you have to justify this 237 00:13:49,320 --> 00:13:53,720 Speaker 1: spending to the American people. And he's also again cat 238 00:13:53,760 --> 00:13:57,040 Speaker 1: falling off the counter, come up with this fantastic situation 239 00:13:57,400 --> 00:14:00,920 Speaker 1: where the European Union is paying for arms from US 240 00:14:01,480 --> 00:14:06,800 Speaker 1: to go to Ukraine because in spite of the fact 241 00:14:07,040 --> 00:14:10,520 Speaker 1: or because of it that he said in his first term, 242 00:14:11,240 --> 00:14:13,880 Speaker 1: NATO's got to do its part. NATO countries have to 243 00:14:13,880 --> 00:14:16,640 Speaker 1: pay their fair share. And then all of them were like, oh, 244 00:14:17,360 --> 00:14:20,680 Speaker 1: maybe we should, and then they did, and then they 245 00:14:20,800 --> 00:14:23,520 Speaker 1: paid for weapons Ukraine. So he's like, he's pulled off 246 00:14:23,560 --> 00:14:24,920 Speaker 1: a lot of stuff. 247 00:14:24,680 --> 00:14:29,920 Speaker 2: Yes, And their pathological inability to give him credit for 248 00:14:30,040 --> 00:14:37,840 Speaker 2: anything ever, just continues to erode people's confidence in mainstream media, 249 00:14:37,920 --> 00:14:41,920 Speaker 2: like because they see the things happening and then they're 250 00:14:42,000 --> 00:14:46,440 Speaker 2: told that it's not happening, and then they're like, I 251 00:14:46,480 --> 00:14:47,960 Speaker 2: don't believe you anymore. 252 00:14:48,440 --> 00:14:48,640 Speaker 3: Right. 253 00:14:49,640 --> 00:14:52,800 Speaker 1: I think he also there was a a pole result 254 00:14:52,840 --> 00:14:55,160 Speaker 1: result out the other day and I cannot remember which pole, 255 00:14:55,200 --> 00:14:58,120 Speaker 1: but it was, you know, Republicans had a ten point 256 00:14:58,240 --> 00:15:03,400 Speaker 1: lead on party that I trust to have a strong 257 00:15:03,520 --> 00:15:04,600 Speaker 1: vision for the country. 258 00:15:05,320 --> 00:15:05,520 Speaker 3: Right. 259 00:15:06,160 --> 00:15:08,280 Speaker 1: And I think some of this, some of the foreign 260 00:15:08,280 --> 00:15:12,800 Speaker 1: policy plus up or you know, credit he's getting is 261 00:15:12,840 --> 00:15:15,960 Speaker 1: not just from foreign policy, but the idea that he 262 00:15:16,320 --> 00:15:21,800 Speaker 1: is a leader, because he is inescapably leading right, like 263 00:15:21,880 --> 00:15:25,520 Speaker 1: you cannot help but understand his vision and hear his 264 00:15:25,680 --> 00:15:28,800 Speaker 1: vision on all of these issues and see him take 265 00:15:28,880 --> 00:15:32,120 Speaker 1: action on all these issues. And we had a comatose 266 00:15:32,200 --> 00:15:36,760 Speaker 1: president for four years, so I think people are like, 267 00:15:37,240 --> 00:15:40,280 Speaker 1: I feel like, even if he's like I don't totally 268 00:15:40,520 --> 00:15:43,520 Speaker 1: agree with him all the time, he's doing the thing 269 00:15:43,560 --> 00:15:44,880 Speaker 1: where you be a president. 270 00:15:45,680 --> 00:15:48,480 Speaker 2: Yeah. And you know, harkening back to some of the 271 00:15:48,520 --> 00:15:50,200 Speaker 2: things that we were talking about in the first segment, 272 00:15:51,760 --> 00:15:55,440 Speaker 2: those of us that occupy a political space in what 273 00:15:55,760 --> 00:15:58,800 Speaker 2: people in the swamp consider to be flyover country, right, 274 00:15:58,880 --> 00:16:02,840 Speaker 2: like the biggest states, the rough spelt thing, but the 275 00:16:02,920 --> 00:16:07,240 Speaker 2: places where races are actually won and lost. The ramifications 276 00:16:07,240 --> 00:16:09,640 Speaker 2: for this for midterms are just going to be super 277 00:16:09,680 --> 00:16:15,120 Speaker 2: fascinating because we have a bunch of especially Democrats, who 278 00:16:15,200 --> 00:16:19,040 Speaker 2: are already trying to prepare themselves for the primary. And 279 00:16:19,080 --> 00:16:22,240 Speaker 2: the way that they're primary they're preparing themselves for the 280 00:16:22,280 --> 00:16:26,320 Speaker 2: primary that we're seeing here and in other big square 281 00:16:26,360 --> 00:16:30,440 Speaker 2: states is who can run to the left as far 282 00:16:30,480 --> 00:16:32,920 Speaker 2: as possible by talking about how much they hate Trump, 283 00:16:33,320 --> 00:16:35,920 Speaker 2: and they're going to have a really hard time running 284 00:16:35,960 --> 00:16:40,080 Speaker 2: back to the middle. Ye as soon as if these 285 00:16:40,160 --> 00:16:42,520 Speaker 2: numbers continue to hold right. 286 00:16:42,760 --> 00:16:47,520 Speaker 1: And so it's also like you've tried this playbook so 287 00:16:47,680 --> 00:16:52,800 Speaker 1: many times? Yes, yes, so many times. Can we talk? 288 00:16:52,880 --> 00:16:57,000 Speaker 1: Actually this is like a little bit of a tangent, 289 00:16:57,080 --> 00:17:00,520 Speaker 1: But I want to note that The Atlantic a big 290 00:17:01,440 --> 00:17:06,439 Speaker 1: profile piece on Jasmine Crockett. Now, speaking of running to 291 00:17:06,480 --> 00:17:10,760 Speaker 1: the left, folks like you and I would be happy 292 00:17:10,800 --> 00:17:14,320 Speaker 1: to see the Democrats make Jasmine Crockett their spiritual leader, 293 00:17:14,400 --> 00:17:17,200 Speaker 1: which they seem to be sort of choosing to do. 294 00:17:18,200 --> 00:17:22,919 Speaker 1: Jasmin Crockett is a Texas congresswoman, I believe from the 295 00:17:23,000 --> 00:17:26,840 Speaker 1: Houston area. I looked up her district. Her district is 296 00:17:27,040 --> 00:17:33,120 Speaker 1: D plus thirty. Okay, D plus thirty. To give those 297 00:17:33,160 --> 00:17:36,119 Speaker 1: who are not political junkies an idea of what that means. 298 00:17:36,119 --> 00:17:39,200 Speaker 1: That's just like the proportion of Democrat voters. 299 00:17:38,920 --> 00:17:42,400 Speaker 2: Versus stefest of safe, like as. 300 00:17:42,280 --> 00:17:45,600 Speaker 1: Safe as you can get, you can say anything in 301 00:17:45,640 --> 00:17:50,240 Speaker 1: this district, she'll get reelected. Okay, Just to give you 302 00:17:50,280 --> 00:17:53,639 Speaker 1: an idea, like the roughly eighteen to twenty five toss 303 00:17:53,720 --> 00:17:58,520 Speaker 1: up house seats that will determine the House control in 304 00:17:58,600 --> 00:18:04,400 Speaker 1: twenty twenty six, the average number is like D plus 305 00:18:04,440 --> 00:18:08,200 Speaker 1: one or even so, right, just like a twenty nine 306 00:18:08,320 --> 00:18:09,440 Speaker 1: point delta. 307 00:18:09,200 --> 00:18:10,520 Speaker 2: There, right right. 308 00:18:11,400 --> 00:18:16,439 Speaker 1: So the point being this kind of congresswoman, although entertaining, 309 00:18:16,760 --> 00:18:20,560 Speaker 1: I'll give her, is not going to be reaching people 310 00:18:20,880 --> 00:18:25,320 Speaker 1: in swing districts and is largely probably going to repel 311 00:18:25,400 --> 00:18:27,639 Speaker 1: them in very serious ways. And I just want to note, 312 00:18:28,160 --> 00:18:31,159 Speaker 1: my friend Amber Duke read the full profile, which I 313 00:18:31,160 --> 00:18:33,119 Speaker 1: have not read yet. It's called a Democrat for the 314 00:18:33,160 --> 00:18:37,159 Speaker 1: Trump era. Jasmine Crockett is testing out the course style 315 00:18:37,200 --> 00:18:40,080 Speaker 1: of politics that the GOP has embraced. First of all, 316 00:18:40,920 --> 00:18:44,640 Speaker 1: hilarious that anyone thinks Democrats hadn't been course before. Now 317 00:18:44,720 --> 00:18:48,280 Speaker 1: you tried to put him in literal jail. But okay, fine, fine, 318 00:18:49,640 --> 00:18:53,440 Speaker 1: look what you made me do. Here's some facts from 319 00:18:53,480 --> 00:18:55,679 Speaker 1: the profile, just so you can get an idea of 320 00:18:55,680 --> 00:18:59,120 Speaker 1: how she's going to be reaching out. Number One, her 321 00:18:59,160 --> 00:19:05,080 Speaker 1: phone's locks is a headshot of herself. Number Two, she 322 00:19:05,200 --> 00:19:07,640 Speaker 1: thought she deserved to be the top Democrat on oversight 323 00:19:07,920 --> 00:19:11,160 Speaker 1: because she has the largest social media following. Number three, 324 00:19:12,200 --> 00:19:15,399 Speaker 1: she tried to shut down the profile after the reporter 325 00:19:15,520 --> 00:19:18,360 Speaker 1: called a number of her colleagues in the House. That 326 00:19:18,400 --> 00:19:24,119 Speaker 1: can't be good. So anyway, if Jasmine Crockett ends up 327 00:19:24,160 --> 00:19:31,439 Speaker 1: being a very noticeable national spokesperson for the Democratic Party 328 00:19:31,600 --> 00:19:35,480 Speaker 1: that could spell trouble for them that you know, might 329 00:19:35,520 --> 00:19:38,840 Speaker 1: not be outweighlable by the twenty twenty six wins, which 330 00:19:38,880 --> 00:19:43,080 Speaker 1: should blow as history with history as a guide against Republicans. 331 00:19:43,200 --> 00:19:48,240 Speaker 2: Yeah, mids midterms should not go well for Republicans. And 332 00:19:48,320 --> 00:19:52,919 Speaker 2: yet I mean, and the other thing is when you 333 00:19:52,960 --> 00:19:56,000 Speaker 2: start to think about and talk about who they have 334 00:19:56,640 --> 00:20:01,040 Speaker 2: kind of on their bench for president, it's not They're 335 00:20:01,160 --> 00:20:04,520 Speaker 2: kind of a headless entity right now. 336 00:20:04,840 --> 00:20:08,440 Speaker 1: Yeah, I mean, this is part of the the somewhat 337 00:20:08,600 --> 00:20:12,000 Speaker 1: undercovered story of the Obama years is that he took 338 00:20:12,040 --> 00:20:16,520 Speaker 1: out so many state representatives who what otherwise might have 339 00:20:16,920 --> 00:20:20,919 Speaker 1: who otherwise might have been promising. So many governorships were 340 00:20:20,960 --> 00:20:23,640 Speaker 1: won by Republicans during those years and sort of sort 341 00:20:23,640 --> 00:20:26,720 Speaker 1: of thinned out their ranks. I also think an untold 342 00:20:27,040 --> 00:20:31,879 Speaker 1: part of the story with Democrats is that operationally running 343 00:20:31,920 --> 00:20:36,600 Speaker 1: campaigns and what was what's the chick's name who was 344 00:20:36,600 --> 00:20:41,600 Speaker 1: on Harris's campaign also Stephanie Cutter. Stephanie Cutter spoke about 345 00:20:41,600 --> 00:20:45,840 Speaker 1: this in a podcast in a post mortem podcast with 346 00:20:45,920 --> 00:20:52,560 Speaker 1: the pod Bros. I think about how a generation of 347 00:20:52,600 --> 00:20:56,840 Speaker 1: their operatives had not gotten the practice they needed. Guess why, 348 00:20:56,880 --> 00:21:01,920 Speaker 1: because Democrats didn't do operations in Yeah, and for most 349 00:21:01,960 --> 00:21:05,000 Speaker 1: of COVID. So all the young people who running those 350 00:21:05,040 --> 00:21:07,920 Speaker 1: campaigns should have learned those skills did not learn those 351 00:21:07,920 --> 00:21:10,800 Speaker 1: skills during those elections. Now it's not to say they 352 00:21:11,080 --> 00:21:14,960 Speaker 1: can't get some of that back, but thinning your ranks, 353 00:21:15,040 --> 00:21:18,640 Speaker 1: either with candidates or with operations, folks m not. 354 00:21:18,720 --> 00:21:23,879 Speaker 2: Great well and classically Democrats a lot of their like 355 00:21:24,000 --> 00:21:27,720 Speaker 2: field power, a lot of their organizational power has come 356 00:21:27,840 --> 00:21:34,120 Speaker 2: from unions, right. I as an operative myself, I used 357 00:21:34,160 --> 00:21:39,520 Speaker 2: to run up against union bosses and they will I 358 00:21:39,560 --> 00:21:44,240 Speaker 2: mean they are they are hard workers and their good organizer. Yeah, 359 00:21:44,600 --> 00:21:46,600 Speaker 2: that's that's the nature whole thing. 360 00:21:46,720 --> 00:21:46,960 Speaker 1: Yeah. 361 00:21:48,640 --> 00:21:55,040 Speaker 2: Trump has thrown such a wrench into what is their 362 00:21:55,240 --> 00:21:59,960 Speaker 2: organizational base of power just by being him and his 363 00:22:00,119 --> 00:22:06,160 Speaker 2: numbers with actual union members that it's just it's kind 364 00:22:06,200 --> 00:22:10,040 Speaker 2: of fascinating to watch. It's like it's like somebody threw 365 00:22:10,160 --> 00:22:13,480 Speaker 2: a like firecracker into the middle of an ant farm 366 00:22:13,520 --> 00:22:15,680 Speaker 2: and you're just watching them like run around in circles 367 00:22:15,680 --> 00:22:15,919 Speaker 2: and not. 368 00:22:16,000 --> 00:22:22,000 Speaker 1: Ye oh goodness. Let me give a few quick notes 369 00:22:22,000 --> 00:22:26,600 Speaker 1: of caution for people who are inclined to want Republicans 370 00:22:26,600 --> 00:22:29,679 Speaker 1: to win and just like looking forward this year is 371 00:22:29,720 --> 00:22:34,200 Speaker 1: the Virginia governor's race in November. Now that is always 372 00:22:34,200 --> 00:22:36,840 Speaker 1: seen as a bit of a tell, as is the 373 00:22:36,880 --> 00:22:39,760 Speaker 1: New Jersey governor's race. Those happen in this weird off 374 00:22:39,840 --> 00:22:45,280 Speaker 1: year fashion. Governor youngin Republican in Virginia is very very 375 00:22:45,400 --> 00:22:49,960 Speaker 1: very popular here like in the sixties approval rating. He 376 00:22:50,119 --> 00:22:52,920 Speaker 1: cannot run for another term because Virginia has a dumb 377 00:22:53,000 --> 00:22:55,280 Speaker 1: rule where they can't run for another term. He's just 378 00:22:55,520 --> 00:22:59,320 Speaker 1: limited to one. So generally Virginia governors will like jump 379 00:22:59,359 --> 00:23:02,120 Speaker 1: to Senate or you know this is, or become presidential 380 00:23:02,160 --> 00:23:07,760 Speaker 1: candidates or whatever. So his lieutenant governor wins. Some Earl Sears, 381 00:23:08,480 --> 00:23:10,520 Speaker 1: who is an African American woman, would be the first 382 00:23:10,560 --> 00:23:14,440 Speaker 1: African American woman governor if she won. She's a Marine, 383 00:23:14,440 --> 00:23:18,080 Speaker 1: she's got a very compelling personal story. She is running 384 00:23:18,240 --> 00:23:25,639 Speaker 1: as a Republican against al Abigail span Burger. Abigail Spanburger, Sorry, 385 00:23:25,720 --> 00:23:27,199 Speaker 1: this is a little bit of trivia, but you'll know 386 00:23:27,240 --> 00:23:31,400 Speaker 1: it is from the same district that saw Dave Bratt 387 00:23:31,560 --> 00:23:35,480 Speaker 1: take out Eric Canter back in the day. Okay, so 388 00:23:35,600 --> 00:23:38,920 Speaker 1: that's the district she was a representative from there. She's 389 00:23:38,960 --> 00:23:43,840 Speaker 1: a statewide known figure. She's a perfect example of a 390 00:23:43,840 --> 00:23:46,520 Speaker 1: Democrat who's pretty far left but can look and sound 391 00:23:46,600 --> 00:23:53,360 Speaker 1: quite normy mom type figure in Virginia because of all 392 00:23:53,359 --> 00:23:57,000 Speaker 1: the doje the doge of it all. There's a lot 393 00:23:57,000 --> 00:24:01,560 Speaker 1: of federal workers in Virginia. And I think this one 394 00:24:01,720 --> 00:24:05,879 Speaker 1: with a less compelling candidate than Youngkin because Youngkin was 395 00:24:05,920 --> 00:24:08,679 Speaker 1: like the perfect candidate for the perfect moment in a 396 00:24:08,960 --> 00:24:14,480 Speaker 1: pretty purple state. I think it is tough for Sears 397 00:24:14,800 --> 00:24:17,280 Speaker 1: to pull this off and their campaign and the Republican 398 00:24:17,320 --> 00:24:18,760 Speaker 1: Party seem to think so as well. They're doing a 399 00:24:18,760 --> 00:24:20,920 Speaker 1: shake up on her campaign this week for staffing because 400 00:24:20,960 --> 00:24:24,400 Speaker 1: they're lagging in fundraising and polling. So we'll see where 401 00:24:24,440 --> 00:24:28,760 Speaker 1: that one heads. Democrats could also overread that because Virginia 402 00:24:28,840 --> 00:24:31,000 Speaker 1: might be weird because it's so full of federal workers. 403 00:24:31,520 --> 00:24:35,399 Speaker 2: Virginia is weird. Yeah, yeah, that's true. I say this. 404 00:24:35,680 --> 00:24:39,240 Speaker 2: I say this as a non swamp creature that lives 405 00:24:39,320 --> 00:24:43,080 Speaker 2: in the big square states, like yeah, always weird. 406 00:24:43,320 --> 00:24:46,399 Speaker 1: Yeah, so that will play a part in this election 407 00:24:46,520 --> 00:24:50,720 Speaker 1: that will not be present in like house districts in 408 00:24:50,720 --> 00:24:53,720 Speaker 1: twenty twenty six. Nonetheless, let me also note in North Carolina, 409 00:24:53,800 --> 00:24:57,920 Speaker 1: the former governor Democrat Roy Cooper has decided to run 410 00:24:58,440 --> 00:25:04,080 Speaker 1: for government Senate there, and that's to replace some Tom 411 00:25:04,880 --> 00:25:09,080 Speaker 1: till Us. I know things. I've been on the road. Okay, guys, yes, 412 00:25:10,000 --> 00:25:12,840 Speaker 1: he's gonna run. That was pretty much the DEM's dream candidate. 413 00:25:12,920 --> 00:25:15,560 Speaker 1: So that will eliminate a lot of spending and problems 414 00:25:15,560 --> 00:25:18,640 Speaker 1: for them. Not not doable for Republicans, but it makes 415 00:25:18,640 --> 00:25:20,080 Speaker 1: it much more competitive. 416 00:25:20,119 --> 00:25:20,439 Speaker 3: Okay. 417 00:25:21,040 --> 00:25:25,040 Speaker 1: Those are our cautionary notes and inspirational notes. We will 418 00:25:25,080 --> 00:25:29,560 Speaker 1: be back on normally with one more segment about FAFO parenting, 419 00:25:33,000 --> 00:25:35,119 Speaker 1: and we are back. Kelly, I gotta do a parenting 420 00:25:35,160 --> 00:25:39,000 Speaker 1: story with you. This one is in the Wall Street Journal, 421 00:25:39,440 --> 00:25:41,560 Speaker 1: and I think you know this is like old news 422 00:25:41,560 --> 00:25:47,560 Speaker 1: to us. Good goodbye gentle parenting, Hello fa FO parenting. 423 00:25:47,720 --> 00:25:50,920 Speaker 1: So f around and find out parenting. It's his parents 424 00:25:50,920 --> 00:25:53,160 Speaker 1: are ditching the softer approach to child rearing that has 425 00:25:53,160 --> 00:25:56,719 Speaker 1: dominated the culture and taking a harder line. Okay, And 426 00:25:56,760 --> 00:25:59,960 Speaker 1: it opens with this anecdote. I feel that I see 427 00:26:00,119 --> 00:26:02,680 Speaker 1: things in our future. Carla Dylan tried lots of ways 428 00:26:02,720 --> 00:26:05,399 Speaker 1: to discipline her rambunctious thirteen year old, including making him 429 00:26:05,400 --> 00:26:08,360 Speaker 1: write the same contrite sentence a hundred times. But when 430 00:26:08,359 --> 00:26:10,200 Speaker 1: he sprayed her with a water gun at a campground 431 00:26:10,200 --> 00:26:12,720 Speaker 1: after she asked him not to, she saw only one option. 432 00:26:12,880 --> 00:26:14,840 Speaker 1: She threw him in the pond, clothes and all. Some 433 00:26:14,880 --> 00:26:16,639 Speaker 1: of the best lessons in life for the hard ones, 434 00:26:16,720 --> 00:26:20,280 Speaker 1: she said. The Internet calls it fafo. It's a child 435 00:26:20,280 --> 00:26:23,560 Speaker 1: rearing style style that elevates consequences over the gentle parenting 436 00:26:23,960 --> 00:26:28,280 Speaker 1: methods that have helped shape gen Z. FAFO is based 437 00:26:28,280 --> 00:26:30,199 Speaker 1: on the idea that parents can ask and warn, but 438 00:26:30,200 --> 00:26:32,200 Speaker 1: if a child breaks the rules, mom and dad aren't 439 00:26:32,200 --> 00:26:34,920 Speaker 1: standing in the way of repercussions. Won't bring your raincoat, 440 00:26:35,000 --> 00:26:37,480 Speaker 1: walk home in the downpour, didn't feel like having lasagna 441 00:26:37,520 --> 00:26:39,879 Speaker 1: for dinner, Survive until breakfast. Left your toy on the 442 00:26:39,880 --> 00:26:42,080 Speaker 1: floor again, Go find it in the trash under the 443 00:26:42,119 --> 00:26:48,040 Speaker 1: lasagna you didn't eat. Yes, please let you Like, I 444 00:26:48,080 --> 00:26:49,760 Speaker 1: don't know, I don't know what to say, other than like, 445 00:26:50,640 --> 00:26:53,760 Speaker 1: I'm like Bruce Willison die Hard, Like welcome to the party, pal, 446 00:26:53,880 --> 00:26:55,680 Speaker 1: Like this is what we've been doing over here. 447 00:26:56,040 --> 00:26:59,440 Speaker 2: This is how we've been parenting since we had kids. 448 00:27:00,000 --> 00:27:02,000 Speaker 2: It was interesting because, out of the two of us 449 00:27:02,480 --> 00:27:07,440 Speaker 2: you would have been I think likely the better of 450 00:27:07,520 --> 00:27:10,240 Speaker 2: the two of us boy mom, and I would have 451 00:27:10,359 --> 00:27:12,920 Speaker 2: predicted myself to be the girl mom. And yet you 452 00:27:13,320 --> 00:27:14,600 Speaker 2: led with three girls. 453 00:27:14,760 --> 00:27:15,600 Speaker 1: I got all those girls. 454 00:27:16,119 --> 00:27:19,720 Speaker 2: Yeah, and I have two boys, and I will say 455 00:27:21,200 --> 00:27:25,840 Speaker 2: fafo parenting is the only way to parent two boys. 456 00:27:25,960 --> 00:27:26,439 Speaker 1: There's no. 457 00:27:28,200 --> 00:27:37,120 Speaker 2: Unless you just concede property destruction. You have to yeah, 458 00:27:37,400 --> 00:27:40,800 Speaker 2: stand up to them, yes, or you will get run over. 459 00:27:41,160 --> 00:27:43,640 Speaker 1: I think it was do you know the essays who 460 00:27:43,720 --> 00:27:47,280 Speaker 1: on Twitter goes by cartoons hate her? She was noting that, Like, 461 00:27:47,600 --> 00:27:49,920 Speaker 1: you know, if you if you want to talk through 462 00:27:50,400 --> 00:27:54,000 Speaker 1: each of your child's big feelings, that's fine if you 463 00:27:54,119 --> 00:27:57,480 Speaker 1: have one child. Once you have more than one kid, 464 00:27:58,280 --> 00:28:03,040 Speaker 1: the problem becomes that big feelings child is the one 465 00:28:03,080 --> 00:28:06,800 Speaker 1: who gets attention. The attention is the thing that children want. 466 00:28:07,720 --> 00:28:10,520 Speaker 1: So either you end up being unfair to your children 467 00:28:10,520 --> 00:28:14,240 Speaker 1: who don't have big feelings, or you turn all of 468 00:28:14,320 --> 00:28:18,200 Speaker 1: your children into big feelings children because what they're. 469 00:28:18,040 --> 00:28:19,919 Speaker 2: Doing incentivized for them. 470 00:28:19,960 --> 00:28:23,600 Speaker 1: You are incentivizing the big feelings that hold up the 471 00:28:23,640 --> 00:28:27,240 Speaker 1: whole family, that keep you from doing things that keep 472 00:28:27,320 --> 00:28:30,439 Speaker 1: you on your knees in front of a toddler begging 473 00:28:30,480 --> 00:28:33,600 Speaker 1: with them to see reason when they are developmentally unable 474 00:28:33,760 --> 00:28:39,280 Speaker 1: to see reason. I put an example of our FAFO 475 00:28:39,560 --> 00:28:42,400 Speaker 1: parenting on X the other day, and I was like, 476 00:28:42,440 --> 00:28:44,520 Speaker 1: I wonder if I'll get called mommy, dearist or something. 477 00:28:44,560 --> 00:28:49,280 Speaker 1: But it's very simple, and this probably sounds like normal 478 00:28:49,320 --> 00:28:51,400 Speaker 1: stuff to most of our listeners, because our listeners are 479 00:28:51,480 --> 00:28:55,320 Speaker 1: pretty normal. I think gentle parenting can have some upsides, 480 00:28:55,360 --> 00:28:56,840 Speaker 1: Like I think there's things that you can do with 481 00:28:56,920 --> 00:29:00,560 Speaker 1: your kids that do help them connect and calm down 482 00:29:00,840 --> 00:29:04,120 Speaker 1: instead of just saying stop having this angry feeling. Right, 483 00:29:04,200 --> 00:29:07,920 Speaker 1: I get that, but with stuff like this, like our 484 00:29:08,040 --> 00:29:10,880 Speaker 1: kids know that we will not come to bring them 485 00:29:10,920 --> 00:29:14,200 Speaker 1: their lunches at school, and they don't have a cafeteria 486 00:29:14,200 --> 00:29:16,800 Speaker 1: where they go to school, so they have to take 487 00:29:16,800 --> 00:29:21,240 Speaker 1: their lunches if they don't remember them. What was happening 488 00:29:21,520 --> 00:29:24,880 Speaker 1: was that kindly teachers gentle tea shirts were giving them 489 00:29:24,960 --> 00:29:28,280 Speaker 1: like a piece of pizza or like something delicious, or 490 00:29:28,480 --> 00:29:31,240 Speaker 1: we were being called to the school, and so we said, okay, 491 00:29:31,320 --> 00:29:33,880 Speaker 1: we're not going to do that anymore. You have emergency 492 00:29:33,920 --> 00:29:37,080 Speaker 1: beef jerky in your backpack that doesn't go bad. 493 00:29:37,920 --> 00:29:39,640 Speaker 2: It will be a great band name by the way, 494 00:29:39,880 --> 00:29:44,920 Speaker 2: emergency jerky, emergency beef jerkey. Yeah, the concert. 495 00:29:45,040 --> 00:29:48,360 Speaker 1: When you forget your lunch, you don't tell anyone. Yeah, 496 00:29:48,600 --> 00:29:51,280 Speaker 1: you eat the jerky. Yeah, and then if you don't 497 00:29:51,320 --> 00:29:53,920 Speaker 1: love the jerky, which we know you don't, it will 498 00:29:53,960 --> 00:29:56,360 Speaker 1: incentivize you to remember your lunch, and as a result, 499 00:29:57,040 --> 00:29:58,520 Speaker 1: they don't forget their lunch is very often. 500 00:29:59,480 --> 00:30:03,000 Speaker 2: Yeah, that's how we do it. I have a new 501 00:30:03,040 --> 00:30:06,160 Speaker 2: policy that any legos that end up in the dryer 502 00:30:06,320 --> 00:30:06,920 Speaker 2: become mine. 503 00:30:07,400 --> 00:30:07,840 Speaker 1: Oh nice. 504 00:30:08,360 --> 00:30:11,520 Speaker 2: Yeah, so now we're incentivizing get their legos out of 505 00:30:11,560 --> 00:30:14,920 Speaker 2: their pockets because I just have a bucket full of legos. 506 00:30:15,400 --> 00:30:19,520 Speaker 2: I did realize that I should not have bought a 507 00:30:19,680 --> 00:30:22,200 Speaker 2: nice dryer until my kids are out of the house, 508 00:30:22,280 --> 00:30:26,320 Speaker 2: because I just basically have a multi thousand dollars rock 509 00:30:26,440 --> 00:30:30,360 Speaker 2: tumbler that's my entire dryer at this point. It's the 510 00:30:30,560 --> 00:30:33,760 Speaker 2: stupidest thing that I've ever spent, like depent money on, 511 00:30:35,560 --> 00:30:41,120 Speaker 2: and but like it is. I there are there are 512 00:30:41,240 --> 00:30:45,600 Speaker 2: many things I like about gentle parenting and talking through feeling. 513 00:30:46,480 --> 00:30:49,520 Speaker 2: I try very hard to do all of that. But 514 00:30:49,760 --> 00:30:53,320 Speaker 2: also we have the time space continuum is real, and 515 00:30:53,400 --> 00:30:55,920 Speaker 2: we just have a school on time and we just 516 00:30:56,760 --> 00:30:59,600 Speaker 2: have to accomplish things, and we need to be able 517 00:30:59,640 --> 00:31:04,040 Speaker 2: to go to the grocery store and eating. 518 00:31:04,160 --> 00:31:07,440 Speaker 1: And I think, as illustrated by our first segment, you 519 00:31:07,520 --> 00:31:11,160 Speaker 1: and I do think about economics and talk about economics 520 00:31:11,520 --> 00:31:14,200 Speaker 1: on the phone a lot, because what else what else 521 00:31:14,240 --> 00:31:17,080 Speaker 1: the mom friends do? And so one of the things 522 00:31:17,120 --> 00:31:19,400 Speaker 1: that I am focusing on as a parent is what 523 00:31:19,560 --> 00:31:22,680 Speaker 1: is the incentive structure in my house? And so a 524 00:31:22,800 --> 00:31:26,400 Speaker 1: friend the other day who has is just has one kid, 525 00:31:26,520 --> 00:31:28,480 Speaker 1: and she was talking about how she was whining and 526 00:31:28,600 --> 00:31:31,240 Speaker 1: she gave her this and that she's trying to figure 527 00:31:31,240 --> 00:31:35,280 Speaker 1: out how to, like, you know, to short circuit that 528 00:31:35,880 --> 00:31:38,800 Speaker 1: whine fest and the tantrum or whatever it is. And 529 00:31:38,920 --> 00:31:43,479 Speaker 1: I said, okay, hear me out. Tell her you can 530 00:31:43,560 --> 00:31:48,040 Speaker 1: have the thing when you are calm for three minutes. Yeah, 531 00:31:48,680 --> 00:31:52,560 Speaker 1: And thus you have told the child calm is what 532 00:31:52,760 --> 00:31:56,040 Speaker 1: gets the treat. Screaming is not what gets the treat. 533 00:31:56,480 --> 00:31:59,480 Speaker 2: Yeah, don't mind, I won't cry. Just say I would 534 00:31:59,640 --> 00:32:03,680 Speaker 2: like a muna please, right, or whatever it is. 535 00:32:03,960 --> 00:32:06,160 Speaker 1: And that's what my children used to call those little pouches. 536 00:32:07,240 --> 00:32:09,160 Speaker 1: That's what I was trying to think of. 537 00:32:09,360 --> 00:32:12,880 Speaker 2: Mine. Mine still always go for the apple sauce pouches 538 00:32:13,200 --> 00:32:16,640 Speaker 2: and yeah, so don't mind, don't cry to say I 539 00:32:16,680 --> 00:32:17,800 Speaker 2: would like this, but you have. 540 00:32:17,880 --> 00:32:20,680 Speaker 1: To switch the incentive structure or else they will read 541 00:32:20,760 --> 00:32:24,600 Speaker 1: all day that screaming is what gets them what they want. Yes, 542 00:32:25,120 --> 00:32:28,560 Speaker 1: and then you get yourself in trouble. Okay, we're going 543 00:32:28,600 --> 00:32:30,680 Speaker 1: to close out, But I'm going to close out with this, Kelly, 544 00:32:30,760 --> 00:32:33,200 Speaker 1: because I have one boy, and I have noticed that 545 00:32:33,280 --> 00:32:35,880 Speaker 1: the number of head injuries is just like exponentially higher 546 00:32:35,920 --> 00:32:41,360 Speaker 1: than the girls. He We have ah an ottoman in 547 00:32:41,400 --> 00:32:43,200 Speaker 1: the middle of the room that's basically our coffee table, 548 00:32:43,240 --> 00:32:46,040 Speaker 1: so it's padded. This is strategic. We have two toddlers. 549 00:32:46,160 --> 00:32:48,280 Speaker 1: You know, they're going to be jumping all around, so 550 00:32:48,440 --> 00:32:52,680 Speaker 1: it's just like an upholstered ottoman giant coffee table. He 551 00:32:52,920 --> 00:32:54,960 Speaker 1: got a footstool and put it on top of the 552 00:32:55,000 --> 00:32:58,320 Speaker 1: coffee table and then climbed up on top of it. 553 00:32:58,400 --> 00:33:00,440 Speaker 1: And I was sitting there the whole time watching because 554 00:33:00,520 --> 00:33:03,240 Speaker 1: he's my fourth kid, and I was like, Okay, you 555 00:33:03,280 --> 00:33:06,160 Speaker 1: see how it goes. Perhaps the consequences will tell him 556 00:33:06,200 --> 00:33:09,440 Speaker 1: something about the section. And he's standing up there and 557 00:33:09,520 --> 00:33:11,960 Speaker 1: he's kind of like dancing a jig up on the 558 00:33:12,080 --> 00:33:16,520 Speaker 1: footstool on top of the padded ottoman his balance, and 559 00:33:16,600 --> 00:33:19,640 Speaker 1: then actually nothing bad happened to him on this occasion. 560 00:33:20,160 --> 00:33:23,200 Speaker 1: But what he said to me was, Mom, look at me. 561 00:33:23,840 --> 00:33:29,520 Speaker 1: I injcizing, I interizing. And I was like, you know what, 562 00:33:30,280 --> 00:33:33,880 Speaker 1: that's incorrect, but it's extremely correct that that's what you're doing. 563 00:33:35,280 --> 00:33:38,600 Speaker 1: It is so I will keep you posted on whether 564 00:33:38,680 --> 00:33:40,120 Speaker 1: he injurizes. 565 00:33:39,560 --> 00:33:43,479 Speaker 2: Him justizes himself. I will mine this week. I think 566 00:33:43,520 --> 00:33:47,600 Speaker 2: I told you this already was we were my younger 567 00:33:47,680 --> 00:33:51,640 Speaker 2: since filled all over all of his clothes, and he said, Mom, 568 00:33:52,200 --> 00:33:55,960 Speaker 2: I got it all over my clothes, every single clothe 569 00:33:56,240 --> 00:34:00,000 Speaker 2: and it reminded me. It reminded me of how many 570 00:34:00,160 --> 00:34:03,960 Speaker 2: stuff the English languages. I got it on every single cloe. 571 00:34:04,480 --> 00:34:07,960 Speaker 1: I was like, oh no, we're gonna stop labbing at that. 572 00:34:10,719 --> 00:34:13,840 Speaker 2: Just see his little face too, Mom, it got on 573 00:34:14,080 --> 00:34:19,800 Speaker 2: all my clothes. Every single blow there sizing in your cloth, 574 00:34:21,480 --> 00:34:23,720 Speaker 2: my cloe. He is often only wearing one cloe. 575 00:34:26,480 --> 00:34:31,080 Speaker 1: Okay, oh my god, everybody, keep all your cloe on. 576 00:34:31,520 --> 00:34:34,240 Speaker 1: Oh thanks for joining us on normally normally airs Tuesdays 577 00:34:34,239 --> 00:34:36,360 Speaker 1: and Thursdays, and you can subscribe anywhere you get your podcast. 578 00:34:36,400 --> 00:34:38,480 Speaker 1: Get in touch with us at normally thepod at gmail 579 00:34:38,520 --> 00:34:40,839 Speaker 1: dot com. Thanks for listening, and when things get weird, 580 00:34:41,160 --> 00:34:41,920 Speaker 1: act normally