1 00:00:02,279 --> 00:00:04,720 Speaker 1: Welcome back to a Numbers Game with Ryan Gradowski. This 2 00:00:04,760 --> 00:00:07,680 Speaker 1: is episode number eighteen. And if it's the first time 3 00:00:07,680 --> 00:00:09,600 Speaker 1: you're listening, welcome, And if you've been here every week, 4 00:00:09,680 --> 00:00:12,720 Speaker 1: thank you for listening again. If you haven't listened before, 5 00:00:12,760 --> 00:00:15,680 Speaker 1: you haven't done it. Please like and subscribe on wherever 6 00:00:15,720 --> 00:00:20,560 Speaker 1: you're listening Spotify, Apple Podcast, iHeartRadio app would really appreciate that. 7 00:00:20,600 --> 00:00:21,880 Speaker 1: And if you can give me a review on top 8 00:00:21,920 --> 00:00:24,560 Speaker 1: of it, that's just a cherry on the cake. So 9 00:00:24,680 --> 00:00:27,080 Speaker 1: for those who have been listening, I have worked in 10 00:00:27,080 --> 00:00:29,600 Speaker 1: politics my entire life. It's the only thing I've really 11 00:00:30,240 --> 00:00:31,680 Speaker 1: know how to do. I was a journalist and a 12 00:00:31,680 --> 00:00:33,360 Speaker 1: writer for a little bit of time, and then when 13 00:00:33,400 --> 00:00:36,000 Speaker 1: I was my teenager years, my first shot was working 14 00:00:36,000 --> 00:00:40,279 Speaker 1: at Victoria's secret selling bras. So if everything goes belly up, 15 00:00:40,360 --> 00:00:43,479 Speaker 1: that's all I have to fall back on. But I 16 00:00:43,520 --> 00:00:46,440 Speaker 1: am super excited about campaigns and elections. I follow them 17 00:00:46,440 --> 00:00:49,520 Speaker 1: across the entire world, and we actually have our first 18 00:00:49,560 --> 00:00:53,120 Speaker 1: major elections and starting this podcast. It's not in this country, 19 00:00:53,159 --> 00:00:56,800 Speaker 1: but it is in our neighbor to the north in Canada. Yeah, 20 00:00:56,880 --> 00:00:58,600 Speaker 1: sometimes I too forget that we have a neighbor to 21 00:00:58,640 --> 00:01:00,480 Speaker 1: the North, but we do. It's up there, and it's 22 00:01:00,480 --> 00:01:03,680 Speaker 1: their first election since twenty twenty one, and it's their 23 00:01:03,680 --> 00:01:06,639 Speaker 1: first election without Prime Minister Justin Trudeau on the ballot 24 00:01:06,720 --> 00:01:09,880 Speaker 1: leading the Liberal Party since twenty eleven. Now, I know 25 00:01:09,920 --> 00:01:13,920 Speaker 1: there's a lot of drama in American politics, especially since 26 00:01:13,959 --> 00:01:16,200 Speaker 1: the age of Trump. American elections have been very exciting 27 00:01:16,240 --> 00:01:20,040 Speaker 1: since twenty fifteen, but the Canadian election is full of drama. 28 00:01:20,200 --> 00:01:23,320 Speaker 1: I mean Canadian drama. It's not like the Sopranos are 29 00:01:23,319 --> 00:01:26,120 Speaker 1: breaking bad, but it's well, it's Canada, so it's like 30 00:01:26,120 --> 00:01:28,959 Speaker 1: a serious episode of Glee. But it's interesting. And here's 31 00:01:29,000 --> 00:01:31,800 Speaker 1: the backstory. Justin Trudeau has been the Prime Minister of 32 00:01:31,800 --> 00:01:35,040 Speaker 1: Canada for a decade, longer than any American president except 33 00:01:35,040 --> 00:01:38,840 Speaker 1: for Franklin Roosevelt, and under his tenure he's fundamentally altered 34 00:01:38,920 --> 00:01:42,360 Speaker 1: Canada on a permanent basis through mass immigration. When he 35 00:01:42,400 --> 00:01:45,360 Speaker 1: became Prime minister, Canada had a population of thirty five 36 00:01:45,480 --> 00:01:49,040 Speaker 1: point nine six million people close to thirty six million, 37 00:01:49,080 --> 00:01:52,120 Speaker 1: right say thirty six million, And by the time he left, 38 00:01:52,360 --> 00:01:56,920 Speaker 1: Canada's population increased to forty one point five million. In 39 00:01:56,960 --> 00:02:00,320 Speaker 1: proportion to America, it would be like US as adding 40 00:02:00,360 --> 00:02:03,680 Speaker 1: sixty million people during a decade when we added about 41 00:02:03,720 --> 00:02:07,600 Speaker 1: twenty five million, right, So it's substantially higher than immigration 42 00:02:07,720 --> 00:02:10,919 Speaker 1: rates in the United States, and we're talking about pedal 43 00:02:10,960 --> 00:02:14,720 Speaker 1: to the metal, full blown mass immigration. Remember, Canada has 44 00:02:14,840 --> 00:02:18,040 Speaker 1: a very low birth rate. Canada's official fertility rate when 45 00:02:18,080 --> 00:02:20,800 Speaker 1: Trudeau took over was one point six children per women. 46 00:02:21,200 --> 00:02:25,200 Speaker 1: It's now one point three children women. There's no natural 47 00:02:25,240 --> 00:02:31,280 Speaker 1: growth in Canada's population. Every generation of Canadians is smaller 48 00:02:31,320 --> 00:02:34,280 Speaker 1: than the one that came before it. The birth rate 49 00:02:34,360 --> 00:02:36,760 Speaker 1: is so low that by the end of this decade, 50 00:02:37,080 --> 00:02:41,200 Speaker 1: even with mass immigration and the alleged idea that immigrants 51 00:02:41,200 --> 00:02:43,359 Speaker 1: have so many kids, which they mostly don't anymore. That's 52 00:02:43,400 --> 00:02:47,760 Speaker 1: besides the point. But even with the immigration, the natural 53 00:02:47,800 --> 00:02:52,080 Speaker 1: growth that's birth minus deaths, will be negative numbers for Canada. 54 00:02:52,720 --> 00:02:56,480 Speaker 1: Immigration not only increased the overall population, but significantly changed 55 00:02:56,520 --> 00:03:00,480 Speaker 1: the racial makeup. Cana's white population is shrunk from seventy 56 00:03:00,480 --> 00:03:03,400 Speaker 1: three percent the year the Troupeau took office in twenty 57 00:03:03,400 --> 00:03:06,320 Speaker 1: sixteen to sixty eight point five percent in their last deck. 58 00:03:06,360 --> 00:03:09,200 Speaker 1: In their last census, which was twenty twenty one. It's 59 00:03:09,280 --> 00:03:11,960 Speaker 1: much lower than that now more than six hundred and 60 00:03:11,960 --> 00:03:15,560 Speaker 1: fifty thousand Southeast Asians, one hundred and fifty thousand Chinese, 61 00:03:15,919 --> 00:03:19,880 Speaker 1: three hundred fifty thousand Blacks, one hundred and seventy thousand Filipinos, 62 00:03:19,919 --> 00:03:22,240 Speaker 1: one hundred and seventy thousand Arabs, one hundred and thirty 63 00:03:22,240 --> 00:03:25,720 Speaker 1: thousand Latinos, and one hundred thousand West Asians have moved 64 00:03:25,760 --> 00:03:30,280 Speaker 1: to Canada and their overall quote unquote visible minority population, 65 00:03:30,320 --> 00:03:32,600 Speaker 1: that's what they call minorities who are non natives. But 66 00:03:32,840 --> 00:03:37,040 Speaker 1: visible minority population grew from nineteen percent in twenty eleven 67 00:03:37,080 --> 00:03:39,880 Speaker 1: to twenty six point five percent. Now, when I was 68 00:03:39,920 --> 00:03:42,800 Speaker 1: a kid, it was well less than ten percent, So 69 00:03:42,840 --> 00:03:46,680 Speaker 1: in the lifetime of a millennial, Canada's population has changed 70 00:03:47,320 --> 00:03:51,560 Speaker 1: significantly in a very short period of time. This massive 71 00:03:51,640 --> 00:03:54,440 Speaker 1: population growth has put a strain on resources and housing 72 00:03:54,520 --> 00:03:57,040 Speaker 1: because remember, while Canada is a large country, one of 73 00:03:57,040 --> 00:04:01,200 Speaker 1: the largest physical geographic countries in the world, most people 74 00:04:01,240 --> 00:04:04,760 Speaker 1: live in a very very small area. The average home 75 00:04:04,840 --> 00:04:07,880 Speaker 1: price in Canada has increased by more than fifty percent 76 00:04:08,080 --> 00:04:11,000 Speaker 1: over the last ten years, and it's put a strain 77 00:04:11,120 --> 00:04:14,640 Speaker 1: on the nation's socialized healthcare. Over the last nine years, 78 00:04:14,640 --> 00:04:17,560 Speaker 1: when Canada increases population by more than five point five 79 00:04:17,560 --> 00:04:21,400 Speaker 1: million people, they only added thirty eight thousand more people 80 00:04:21,440 --> 00:04:24,720 Speaker 1: into the medical field. The medium waytime between referral by 81 00:04:24,760 --> 00:04:28,359 Speaker 1: a general practitioner and receiving treatment in twenty fifteen in 82 00:04:28,480 --> 00:04:31,440 Speaker 1: Canada was eighteen point three weeks, which is still in 83 00:04:31,560 --> 00:04:34,719 Speaker 1: American terms, it's a very long time. In twenty twenty four, 84 00:04:34,800 --> 00:04:38,760 Speaker 1: it's over thirty weeks, according to the Fraser Institute. Think 85 00:04:38,800 --> 00:04:41,640 Speaker 1: about what this means for someone in Canada needing to 86 00:04:41,640 --> 00:04:45,239 Speaker 1: see a specialist. It's quite literally life or death, which 87 00:04:45,360 --> 00:04:48,440 Speaker 1: may be part of the reason why they legalize assistant suicide. 88 00:04:48,640 --> 00:04:51,280 Speaker 1: All the effects of mass immigration at this scale had 89 00:04:51,279 --> 00:04:53,919 Speaker 1: a deteriorating effect on the life of the average Canadian, 90 00:04:53,960 --> 00:04:58,240 Speaker 1: and Trudeau's approval ratings plummeted. Trudeau's Liberal Party was losing 91 00:04:58,279 --> 00:05:02,159 Speaker 1: special election after special election, even in safe seats. Right 92 00:05:02,200 --> 00:05:05,520 Speaker 1: before he announced his resignation, Trudeau's Liberal Party was set 93 00:05:05,560 --> 00:05:08,719 Speaker 1: to lose the next election by more than twenty points 94 00:05:08,760 --> 00:05:12,240 Speaker 1: to the Conservatives. Twenty plus point loss would effectively have 95 00:05:12,560 --> 00:05:15,480 Speaker 1: ended the Liberal Party. They would have held onto less 96 00:05:15,480 --> 00:05:18,360 Speaker 1: than twenty seats. It'd be like the Republicans winning parts 97 00:05:18,400 --> 00:05:21,400 Speaker 1: of Chicago, Maryland, New York City, Los Angeles, or like 98 00:05:21,440 --> 00:05:26,159 Speaker 1: the Democrats winning the Dakotas and Louisiana and West Texas. 99 00:05:26,920 --> 00:05:32,040 Speaker 1: And then two things happened that fundamentally altered this entire election. First, 100 00:05:32,160 --> 00:05:34,600 Speaker 1: as I mentioned, Trudeau resigned and was replaced by a 101 00:05:34,640 --> 00:05:36,719 Speaker 1: new leader of the Liberal Party and current Prime Minister, 102 00:05:36,880 --> 00:05:39,840 Speaker 1: Mark Karney, who is far less problematic for a lot 103 00:05:39,880 --> 00:05:42,320 Speaker 1: of Canadians and a lot of people have fewer issues 104 00:05:42,360 --> 00:05:44,600 Speaker 1: with him. So it took the pressure off the party 105 00:05:44,640 --> 00:05:47,880 Speaker 1: when an unpopular prime minister resigned, kind of like how 106 00:05:47,920 --> 00:05:50,440 Speaker 1: the Democrats would have lost places like New Jersey and 107 00:05:50,480 --> 00:05:53,400 Speaker 1: Virginia had Joe Biden said on the ballot. But he 108 00:05:53,480 --> 00:05:56,000 Speaker 1: was replaced by Kamala Harris, who was still in the loser, 109 00:05:56,080 --> 00:05:58,640 Speaker 1: but by a lot less than what Joe Biden would 110 00:05:58,640 --> 00:06:02,640 Speaker 1: have lost. Side, another thing happened. President Donald Trump started 111 00:06:02,640 --> 00:06:05,520 Speaker 1: talking about annexing the country, referring to Trudeau as the 112 00:06:05,560 --> 00:06:08,479 Speaker 1: governor instead of the prime minister, and openly speaking about 113 00:06:08,480 --> 00:06:11,120 Speaker 1: turning to our fifty first state. Then come the trade 114 00:06:11,120 --> 00:06:14,440 Speaker 1: wars and all the other rhetorics. This sent shock waves 115 00:06:14,480 --> 00:06:18,040 Speaker 1: throughout Canada, and the population rallied behind Prime Minister Carney 116 00:06:18,080 --> 00:06:20,320 Speaker 1: almost as a middle finger to Trump and the broader 117 00:06:20,360 --> 00:06:24,320 Speaker 1: Conservative movement. Air Polaverre, the head of the Conservative Party 118 00:06:24,360 --> 00:06:26,440 Speaker 1: of Canada. I'm sorry if I pushed his name, by 119 00:06:26,440 --> 00:06:30,560 Speaker 1: the way, Calm Pierre. Pierre's lead fell from twenty five 120 00:06:30,600 --> 00:06:34,600 Speaker 1: points in December twenty twenty five to a deficit of 121 00:06:34,720 --> 00:06:38,279 Speaker 1: losing by two to six points in most polls. It's 122 00:06:38,279 --> 00:06:42,280 Speaker 1: a thirty point turnaround in four months. It is shocking. 123 00:06:42,320 --> 00:06:46,000 Speaker 1: It's jaw dropping. This stuff doesn't happen. The Conservatives have 124 00:06:46,120 --> 00:06:48,600 Speaker 1: only led in two poles since Karney took over as 125 00:06:48,600 --> 00:06:51,440 Speaker 1: Prime Minister on March fourteen, and the Liberal Party that 126 00:06:51,560 --> 00:06:54,640 Speaker 1: was destined to basically end as a functional party, could 127 00:06:54,680 --> 00:06:57,240 Speaker 1: win a larger majority than it had under Trudeau in 128 00:06:57,320 --> 00:07:01,040 Speaker 1: a mere four and a half months. The electionist eft 129 00:07:01,080 --> 00:07:03,800 Speaker 1: for Monday, April twenty eighth, the day before one of 130 00:07:03,800 --> 00:07:06,800 Speaker 1: the most important days in American history, my birthday, and the 131 00:07:06,839 --> 00:07:09,200 Speaker 1: Conservative Party could make it or break it. It could 132 00:07:09,200 --> 00:07:12,280 Speaker 1: come back if the polls are wrong, especially which sometimes 133 00:07:12,360 --> 00:07:14,680 Speaker 1: they are. A lot of times they are, but we 134 00:07:14,760 --> 00:07:17,920 Speaker 1: don't know. Stay tuned for my next guest to discuss 135 00:07:17,920 --> 00:07:20,160 Speaker 1: whether or not the Conservative Party of Canada has the 136 00:07:20,200 --> 00:07:21,160 Speaker 1: momentum to do it. 137 00:07:21,280 --> 00:07:22,200 Speaker 2: Be right back. 138 00:07:24,880 --> 00:07:26,880 Speaker 1: With me this week is Jonathan Kay. He is an 139 00:07:26,960 --> 00:07:29,480 Speaker 1: editor at Couilette and a Canadian, so it's great to 140 00:07:29,520 --> 00:07:31,559 Speaker 1: have someone in the program to discuss the election. Who's 141 00:07:31,600 --> 00:07:33,760 Speaker 1: up there, Jonathan, Thanks for being. 142 00:07:33,600 --> 00:07:35,360 Speaker 2: Here, Thanks for having me. 143 00:07:35,680 --> 00:07:38,000 Speaker 1: So, as I mentioned before in the show, going into 144 00:07:38,000 --> 00:07:40,440 Speaker 1: this election, the Liberal Party came back from the dead. 145 00:07:40,480 --> 00:07:43,640 Speaker 1: They went from a twenty five point deficit to to 146 00:07:43,720 --> 00:07:47,240 Speaker 1: two to six point lead depending upon what poll you believe. 147 00:07:47,680 --> 00:07:50,200 Speaker 1: Part of that is Trudeau resigning. Part of that is 148 00:07:50,200 --> 00:07:53,520 Speaker 1: Donald Trump's rhetoric. Is there something else that Americans don't 149 00:07:53,520 --> 00:07:55,880 Speaker 1: know about that has really shifted this election in such 150 00:07:55,880 --> 00:07:56,760 Speaker 1: a short period of time. 151 00:07:57,360 --> 00:08:00,760 Speaker 2: No, that's pretty much it. This is going to be 152 00:08:00,760 --> 00:08:07,080 Speaker 2: a really short podcast. So look, yeah, Canada's system of government, 153 00:08:07,600 --> 00:08:11,120 Speaker 2: there's not the same level of checks and balances and 154 00:08:11,160 --> 00:08:14,000 Speaker 2: separation of powers you have in the United States. So 155 00:08:14,120 --> 00:08:17,560 Speaker 2: as a result, if you have a majority government, as 156 00:08:17,640 --> 00:08:22,160 Speaker 2: Trudeau effectively did, it technically had a minority, but the 157 00:08:22,200 --> 00:08:26,880 Speaker 2: party propping him up was this this left wing entity 158 00:08:26,960 --> 00:08:30,520 Speaker 2: called the NDP, and it was essentially acting as a 159 00:08:30,560 --> 00:08:36,120 Speaker 2: rubber stamp. So you have an enormous concentration of power 160 00:08:36,120 --> 00:08:39,800 Speaker 2: in the prime minister, and if the prime minister is popular, 161 00:08:39,880 --> 00:08:43,120 Speaker 2: the government's popular. And if the prime minister is unpopular, 162 00:08:44,240 --> 00:08:48,080 Speaker 2: the government is unpopular. And Canada has no term limits, 163 00:08:48,280 --> 00:08:52,280 Speaker 2: so the same prime minister can serve three, four, five 164 00:08:53,520 --> 00:08:57,200 Speaker 2: terms in a row. The only limit is getting elected 165 00:08:57,400 --> 00:09:03,720 Speaker 2: and moretality, you know, like I mean, you literally, I mean, 166 00:09:03,880 --> 00:09:06,800 Speaker 2: and sometimes you do. You have premiers and prime ministers 167 00:09:06,840 --> 00:09:14,559 Speaker 2: who really do serve beyond their ability to Yeah, And 168 00:09:14,640 --> 00:09:17,679 Speaker 2: the way things work is, I mean, sometimes you get 169 00:09:17,920 --> 00:09:20,600 Speaker 2: they lose the popular vote, but they still end up 170 00:09:20,640 --> 00:09:24,880 Speaker 2: in power because we have maybe depending on how you 171 00:09:24,920 --> 00:09:30,840 Speaker 2: count them, five parties in most writings buying for votes, 172 00:09:30,840 --> 00:09:33,520 Speaker 2: so you get vote splitting, and sometimes the incumbent will 173 00:09:33,520 --> 00:09:36,199 Speaker 2: get in with like thirty percent of the vote. So 174 00:09:36,440 --> 00:09:40,360 Speaker 2: as a result, you get premiers in the provinces and 175 00:09:40,400 --> 00:09:43,840 Speaker 2: prime ministers who hang on like they wait too long 176 00:09:43,880 --> 00:09:44,559 Speaker 2: to quit and. 177 00:09:45,200 --> 00:09:47,040 Speaker 1: Didn't get a majority of the vote. I think in 178 00:09:47,080 --> 00:09:49,040 Speaker 1: the last election of the one before. 179 00:09:48,760 --> 00:09:51,160 Speaker 2: That, his first term, his first term, he did get 180 00:09:51,160 --> 00:09:54,520 Speaker 2: a majority. And interestingly that was kind of the same phenomenon. 181 00:09:54,520 --> 00:09:56,720 Speaker 2: You had Stephen Harper, who at the time was the 182 00:09:56,760 --> 00:10:02,160 Speaker 2: conservative incumbent and had won some majority, but he by 183 00:10:02,160 --> 00:10:04,360 Speaker 2: this time. I mean it happens to every politician. Uh, 184 00:10:05,040 --> 00:10:08,640 Speaker 2: they become unpopular, People blame them for all sorts of things, 185 00:10:08,640 --> 00:10:12,680 Speaker 2: sometimes with good reason. Scandals pile up. They developed like 186 00:10:12,800 --> 00:10:17,520 Speaker 2: just kind of a closet full of cronies that like 187 00:10:17,600 --> 00:10:19,480 Speaker 2: they can't seem to get rid of it. It just 188 00:10:19,520 --> 00:10:21,079 Speaker 2: it happens with with politicians. 189 00:10:21,120 --> 00:10:23,439 Speaker 1: And America I can't possibly understand. 190 00:10:23,200 --> 00:10:25,719 Speaker 2: Except America, and it never happens in they. 191 00:10:25,400 --> 00:10:27,640 Speaker 1: In America, we never have a politician who's too old 192 00:10:27,679 --> 00:10:31,520 Speaker 1: and it clings the power for too long. It just continues. 193 00:10:31,880 --> 00:10:34,680 Speaker 2: Although that that that joke swings both ways, depending upon 194 00:10:34,720 --> 00:10:39,920 Speaker 2: if you're red and blue. But sure, yeah, sure, Uh. 195 00:10:40,000 --> 00:10:43,040 Speaker 1: Chris McConnell is literally like quote unquote stroking out in 196 00:10:43,040 --> 00:10:43,760 Speaker 1: the middle of Preston. 197 00:10:43,920 --> 00:10:45,839 Speaker 2: Well, I mean that's the thing you have, Like the 198 00:10:46,280 --> 00:10:49,120 Speaker 2: the incumbency reelection rate in the United States is so high, 199 00:10:49,120 --> 00:10:51,320 Speaker 2: and especially I think in the House of Representatives that 200 00:10:52,120 --> 00:10:55,160 Speaker 2: like I think you've got like what twenty term guys 201 00:10:55,200 --> 00:10:56,960 Speaker 2: who just kind of phone it in every two years. 202 00:10:56,960 --> 00:10:59,360 Speaker 2: And yeah, and by the way, we have kind of 203 00:10:59,480 --> 00:11:03,520 Speaker 2: a little bit equivalent of that in the writings. That's 204 00:11:03,600 --> 00:11:06,040 Speaker 2: kind of the equivalent of our districts. And anyway, all 205 00:11:06,080 --> 00:11:10,920 Speaker 2: of this to say, politics in Canada is often very personal. 206 00:11:11,200 --> 00:11:13,080 Speaker 2: It's it's attached to the leader, and if the leader 207 00:11:13,120 --> 00:11:15,600 Speaker 2: is popular, you know, the fortunes of the party go 208 00:11:15,679 --> 00:11:17,679 Speaker 2: with the fortunes of the leader for the most part. 209 00:11:18,559 --> 00:11:21,280 Speaker 1: And it's a lot like the UK. It's more like 210 00:11:21,280 --> 00:11:22,400 Speaker 1: the UK than the United States. 211 00:11:22,440 --> 00:11:24,240 Speaker 2: Not sure, it's you know, it's it's a parliamentary system, 212 00:11:24,320 --> 00:11:27,520 Speaker 2: right right, And it's not only as a parliamentary system. 213 00:11:27,520 --> 00:11:29,880 Speaker 2: It's a parliamentary system in the media age and in 214 00:11:29,960 --> 00:11:31,120 Speaker 2: the social media age. 215 00:11:31,200 --> 00:11:33,120 Speaker 1: So now I want to just prep something for the 216 00:11:33,240 --> 00:11:36,600 Speaker 1: for the audience. Canada has a first past the post 217 00:11:36,679 --> 00:11:40,400 Speaker 1: election system, which means is that correct? Am I wrong? 218 00:11:40,600 --> 00:11:42,720 Speaker 2: Yeah? So the way I think we're we don't have 219 00:11:42,840 --> 00:11:48,439 Speaker 2: like transferable votes or like sometimes parliamentary systems they've experimented with. 220 00:11:48,840 --> 00:11:51,600 Speaker 1: It's not like representational like it is in like Germany. 221 00:11:51,679 --> 00:11:54,800 Speaker 1: Let's say you have you have to win your respected district. 222 00:11:54,880 --> 00:11:56,199 Speaker 1: As a Canada as well, so. 223 00:11:56,160 --> 00:12:00,720 Speaker 2: There aren't party lists sometimes. Again, every system is different, 224 00:12:00,760 --> 00:12:03,120 Speaker 2: where like you know, you might have some candidates elected 225 00:12:03,160 --> 00:12:05,440 Speaker 2: on the basis of a party list and others represent 226 00:12:05,520 --> 00:12:08,760 Speaker 2: geographical runs. Candidate is very simple. It's in your riding. 227 00:12:09,920 --> 00:12:13,040 Speaker 2: There are more than three hundred, three hundred and eighteen 228 00:12:13,360 --> 00:12:15,480 Speaker 2: at one point, I think they added a few more. 229 00:12:15,800 --> 00:12:18,680 Speaker 2: But the idea is that in your riding, you know, 230 00:12:19,040 --> 00:12:23,240 Speaker 2: there's ten parties, and you know, everyone else wins eight 231 00:12:23,280 --> 00:12:24,560 Speaker 2: or nine percent of the vote, and you win like 232 00:12:24,600 --> 00:12:27,320 Speaker 2: eleven percent of the vote. That's it. You win. Yeah, 233 00:12:27,320 --> 00:12:31,680 Speaker 2: it's yeah. So it's and and again another subplot. You 234 00:12:31,760 --> 00:12:34,880 Speaker 2: have a lot of especially younger political activists, who want 235 00:12:34,880 --> 00:12:38,480 Speaker 2: proportional representation, which actually Trudeau promised last time around, and 236 00:12:38,480 --> 00:12:42,560 Speaker 2: then I forgot about anyway, I keep I keep tripping 237 00:12:42,559 --> 00:12:46,959 Speaker 2: over myself on tangents. But the long and short of it, 238 00:12:48,160 --> 00:12:51,360 Speaker 2: the Liberals were very much identified with Trudeau, who's extremely 239 00:12:51,440 --> 00:12:53,960 Speaker 2: unpopular for a variety of reasons. And so if you 240 00:12:53,960 --> 00:12:55,839 Speaker 2: looked at the polls a couple of months ago, when 241 00:12:55,880 --> 00:12:58,920 Speaker 2: Trudeau was still the leader of the Liberal Party and 242 00:12:58,960 --> 00:13:01,760 Speaker 2: the Prime minister, it looked like the Liberals were going 243 00:13:01,800 --> 00:13:04,079 Speaker 2: to go down to a historic defeat in the twenty 244 00:13:04,120 --> 00:13:08,360 Speaker 2: twenty five elections. He quit, and actually, you know, all 245 00:13:08,360 --> 00:13:10,400 Speaker 2: the evidence is he didn't quit out of his own volition. 246 00:13:10,480 --> 00:13:12,559 Speaker 2: He really thought he was going to lead the Liberals 247 00:13:12,640 --> 00:13:16,440 Speaker 2: into yet another election. But there was what was effective, 248 00:13:16,720 --> 00:13:20,240 Speaker 2: effectively a revolt in his own caucus. It was a 249 00:13:20,320 --> 00:13:25,720 Speaker 2: very genteel Canadian revolt where you know, people would say 250 00:13:25,760 --> 00:13:29,680 Speaker 2: to reporters, oge, I'm worried about the party under its 251 00:13:29,720 --> 00:13:33,480 Speaker 2: current leadership, and I mean, I love Trudeau to death. 252 00:13:33,960 --> 00:13:36,040 Speaker 2: You know, it's those voters. 253 00:13:36,200 --> 00:13:38,920 Speaker 1: As an American, I can't imagine your own party forcing 254 00:13:38,960 --> 00:13:41,160 Speaker 1: a sitting president or prime minister out of afice. 255 00:13:41,160 --> 00:13:43,320 Speaker 2: So it's I mean, it's a little different the United States. 256 00:13:43,400 --> 00:13:47,800 Speaker 2: In the United States, he really do get say, you know, 257 00:13:47,880 --> 00:13:53,800 Speaker 2: congressman and senators from Party X voting down legislation that's 258 00:13:53,840 --> 00:13:56,520 Speaker 2: supported by the president, who's also from Party X. Like 259 00:13:56,559 --> 00:14:00,520 Speaker 2: there is a little bit more independent minded. It's different, 260 00:14:01,000 --> 00:14:04,560 Speaker 2: at least in Canada's current iteration of the parliamentary system, 261 00:14:04,559 --> 00:14:08,640 Speaker 2: where most members of Parliament are expected to be you know, 262 00:14:08,800 --> 00:14:12,400 Speaker 2: I think it was Pierre Trudeau's memorable phrase trained seals. 263 00:14:13,160 --> 00:14:15,200 Speaker 2: You know, they sort of clap at the appointed time, 264 00:14:15,240 --> 00:14:18,079 Speaker 2: and they blew at the appointed time, and they support 265 00:14:18,080 --> 00:14:21,040 Speaker 2: the leader and they support the legislation and to the. 266 00:14:21,000 --> 00:14:24,080 Speaker 1: Extent they have a quiet revolt against Trudeau was pretty 267 00:14:24,200 --> 00:14:24,760 Speaker 1: a big deal. 268 00:14:25,200 --> 00:14:27,680 Speaker 2: You know, it wasn't quiet. I would say it was 269 00:14:27,720 --> 00:14:31,840 Speaker 2: genteel in the sense that, yes, media leaks were weaponized, 270 00:14:32,040 --> 00:14:36,560 Speaker 2: but weaponized like they gave him kind of due warning. 271 00:14:36,680 --> 00:14:41,960 Speaker 2: Like at first it was the Quebec For complicated cultural reasons, 272 00:14:43,440 --> 00:14:45,840 Speaker 2: the Quebec caucus of all parties tends to be a 273 00:14:45,880 --> 00:14:48,800 Speaker 2: little bit more independent minded because they exist during their 274 00:14:48,840 --> 00:14:53,240 Speaker 2: own French media and cultural sphere. And at least the 275 00:14:53,240 --> 00:14:56,360 Speaker 2: revolt against Trudeau to some extent, started in Quebec. But 276 00:14:57,280 --> 00:15:01,160 Speaker 2: like people, it's like everywhere else. They they live and 277 00:15:01,160 --> 00:15:03,120 Speaker 2: die by the polls, and the polls suggested that a 278 00:15:03,160 --> 00:15:07,200 Speaker 2: Trudeau led the Liberals into the next election, the Liberals 279 00:15:07,240 --> 00:15:11,600 Speaker 2: would get trounced. And as soon as Trudeau quit, it 280 00:15:11,640 --> 00:15:16,000 Speaker 2: didn't take more than a week or two you saw 281 00:15:16,160 --> 00:15:18,680 Speaker 2: Liberal fortunes start to rebound, at least if the polls 282 00:15:18,680 --> 00:15:23,440 Speaker 2: are any guide. And you and the guy who was 283 00:15:23,680 --> 00:15:27,680 Speaker 2: you know, party establishment, and I think Trudeau himself favored 284 00:15:27,680 --> 00:15:31,520 Speaker 2: this guy. His name is Mark Carney. This isn't my line, 285 00:15:31,520 --> 00:15:34,000 Speaker 2: but it's accurate. He looks kind of the way a 286 00:15:34,040 --> 00:15:37,120 Speaker 2: Canadian prime minister would be depicted in a nineteen eighty 287 00:15:37,160 --> 00:15:41,680 Speaker 2: five movie about some kind of like fight between Canada 288 00:15:41,680 --> 00:15:46,040 Speaker 2: and the United States. He looks like you would kind 289 00:15:46,080 --> 00:15:48,800 Speaker 2: of expect, you know, a Canadian prime minister to look 290 00:15:49,680 --> 00:15:53,080 Speaker 2: very you know, he's very cuts, a dashing figure, but 291 00:15:53,120 --> 00:15:58,240 Speaker 2: also eminently forgettable. His his campaign has been somewhat vapid, 292 00:15:58,320 --> 00:16:01,160 Speaker 2: but his campaign has more less consisted of I mean, 293 00:16:01,200 --> 00:16:02,960 Speaker 2: he's a very accomplished guy. He used to be Governor 294 00:16:03,000 --> 00:16:05,800 Speaker 2: of the Bank of Canada. He went to the UK 295 00:16:05,880 --> 00:16:09,240 Speaker 2: and had the same job. His name's Mark Karney. By 296 00:16:09,280 --> 00:16:11,000 Speaker 2: all counts a nice guy. I actually know a guy 297 00:16:11,040 --> 00:16:14,400 Speaker 2: who who went to UH studied economics with him and 298 00:16:14,400 --> 00:16:20,000 Speaker 2: said he was perfectly, perfectly decent guy. But he you know, 299 00:16:20,080 --> 00:16:23,280 Speaker 2: his campaign has to some extent. I mean, there's three 300 00:16:23,280 --> 00:16:26,440 Speaker 2: prongs to his campaign. I hate Trump and I'll fight 301 00:16:26,440 --> 00:16:29,160 Speaker 2: against Trump, which everyone is in Canada is saying. He's 302 00:16:29,320 --> 00:16:32,680 Speaker 2: he's saying, Soto Voce, I'm not just In Trudeau. So 303 00:16:33,080 --> 00:16:35,200 Speaker 2: if you hate Justin Trudeau, don't worry, I'm not him. 304 00:16:36,360 --> 00:16:41,280 Speaker 2: And then he's also just kind of borrowed the political 305 00:16:41,320 --> 00:16:44,480 Speaker 2: demands of the of the Conservatives, who are the main opposition. 306 00:16:44,560 --> 00:16:48,680 Speaker 2: Well capital c Conservatives, No one, None of your American 307 00:16:48,680 --> 00:16:54,520 Speaker 2: listeners should mistake them for like actual conservatives by American standards. 308 00:16:54,520 --> 00:16:57,640 Speaker 2: You know, everybody in Canada supports universal healthcare, we all 309 00:16:57,640 --> 00:17:00,800 Speaker 2: support rights to abortion, we all hate but a punishment. 310 00:17:02,080 --> 00:17:04,800 Speaker 2: So like there's there's no one, there's no mainstream party 311 00:17:04,840 --> 00:17:09,520 Speaker 2: in Canada that has a platform that a red state American. 312 00:17:09,640 --> 00:17:12,320 Speaker 1: There's a populist party in Canada doesn't ever win anything. 313 00:17:12,920 --> 00:17:15,399 Speaker 2: Yeah, it's it's this guy Maxime Bernier, who formerly was 314 00:17:15,400 --> 00:17:20,040 Speaker 2: a Conservative. But even him, like he's he's sort of 315 00:17:20,040 --> 00:17:22,439 Speaker 2: a non entity in politics. You know. I think I 316 00:17:22,480 --> 00:17:23,840 Speaker 2: think he gets like two or three percent of the 317 00:17:23,840 --> 00:17:28,840 Speaker 2: protest but which actually hurts the Conservatives. But he's more, 318 00:17:28,880 --> 00:17:33,600 Speaker 2: i would say, like kind of wind bag populist than 319 00:17:33,760 --> 00:17:35,680 Speaker 2: than like, you know, he doesn't have like a to 320 00:17:35,800 --> 00:17:41,240 Speaker 2: my knowledge, a well developed policy on you know a 321 00:17:41,240 --> 00:17:44,240 Speaker 2: lot of the issues that that traditionally conservatives would. 322 00:17:44,480 --> 00:17:46,359 Speaker 1: So I want to talk about Trump in a second, 323 00:17:46,359 --> 00:17:48,720 Speaker 1: but I want to stick to Canada and Trudeau, especially 324 00:17:48,720 --> 00:17:51,000 Speaker 1: for an American audience who sometimes even for guess we 325 00:17:51,000 --> 00:17:55,720 Speaker 1: have a neighbor to the north, how much immigration under 326 00:17:55,760 --> 00:18:00,679 Speaker 1: Trudeau fundamentally altered Canada in a very real way, and 327 00:18:00,720 --> 00:18:03,160 Speaker 1: it was the number one issue for quite a long time. 328 00:18:03,280 --> 00:18:07,440 Speaker 1: Healthcare to see a doctor is significantly longer. Home prices 329 00:18:07,440 --> 00:18:10,480 Speaker 1: have increased substantially as you've increased the population by I 330 00:18:10,480 --> 00:18:13,160 Speaker 1: think five million over the course of nine years. How 331 00:18:13,200 --> 00:18:16,919 Speaker 1: much is immigration still play in this election? Is it 332 00:18:16,960 --> 00:18:21,160 Speaker 1: still because Pierre I'm going to pronounce his name, Yeah, 333 00:18:22,119 --> 00:18:25,959 Speaker 1: his his, he's not a he's not a Trump person 334 00:18:25,960 --> 00:18:28,400 Speaker 1: on immigration though he said we need to reduce immigration, 335 00:18:28,600 --> 00:18:32,800 Speaker 1: for sure. But how much is immigration still part of 336 00:18:32,800 --> 00:18:35,680 Speaker 1: the conversation as it was, let's say a year or 337 00:18:35,720 --> 00:18:37,560 Speaker 1: two ago, and it was seemed to be in all 338 00:18:37,680 --> 00:18:39,359 Speaker 1: the like Canadian press. 339 00:18:39,800 --> 00:18:42,520 Speaker 2: One thing that's happened. I'm going to address the substance 340 00:18:42,560 --> 00:18:44,840 Speaker 2: of your question shortly, but I'll just say right off 341 00:18:44,880 --> 00:18:49,159 Speaker 2: the bat, this is one instance, as with the carbon 342 00:18:49,240 --> 00:18:52,680 Speaker 2: tax a few other things, where one of the things 343 00:18:52,680 --> 00:18:55,200 Speaker 2: that liberals have done which have made themselves more electable 344 00:18:55,240 --> 00:18:57,040 Speaker 2: is they just kind of like thrown in the towel 345 00:18:57,040 --> 00:19:00,320 Speaker 2: in this issue. Even before he resigned. Trudeau, so there's 346 00:19:00,320 --> 00:19:02,600 Speaker 2: a couple of I guess mid to late twenty twenty 347 00:19:02,600 --> 00:19:06,600 Speaker 2: four he recorded this this kind of odd home video 348 00:19:06,640 --> 00:19:08,800 Speaker 2: where he said, Hey, I get it, immigration levels are 349 00:19:08,800 --> 00:19:12,440 Speaker 2: too high. I'm like slashing immigration levels. There's all sorts 350 00:19:12,480 --> 00:19:15,760 Speaker 2: of sub programs, temporary worker programs and stuff like that, 351 00:19:15,800 --> 00:19:20,320 Speaker 2: and like across the board, the Liberals kind of stole 352 00:19:21,320 --> 00:19:24,720 Speaker 2: the plank for any opposition party that was opposed to 353 00:19:25,080 --> 00:19:28,679 Speaker 2: enormous immigration levels. They kind of just renounced their own 354 00:19:28,720 --> 00:19:30,080 Speaker 2: policy on immigration. 355 00:19:30,600 --> 00:19:33,800 Speaker 1: And the Conservatives didn't then move further to the right. 356 00:19:33,840 --> 00:19:35,280 Speaker 1: They just stay where they were. Right. 357 00:19:35,920 --> 00:19:41,359 Speaker 2: Look, so immigration is a funny issue in Canada because interestingly, 358 00:19:42,000 --> 00:19:45,600 Speaker 2: Trudeau massively expanded the number of immigrants who come to Canada. 359 00:19:46,320 --> 00:19:48,840 Speaker 2: Even before he took power. I think Canada was immigrating 360 00:19:48,880 --> 00:19:51,879 Speaker 2: something like one percent of its population every year. So 361 00:19:51,920 --> 00:19:55,680 Speaker 2: I think something you know, even in the late Harper years, 362 00:19:55,680 --> 00:19:59,359 Speaker 2: something like three hundred thousand that went up under Trudeau. 363 00:19:59,359 --> 00:20:02,480 Speaker 2: I think four hundred thousand. It's tricky because there's also 364 00:20:02,520 --> 00:20:05,639 Speaker 2: temporary foreign workers and refugees in their own class. But 365 00:20:05,720 --> 00:20:08,840 Speaker 2: you had a country that was immigrating about one percent 366 00:20:08,840 --> 00:20:13,320 Speaker 2: of its population every year, and you know, in American terms, 367 00:20:13,440 --> 00:20:16,280 Speaker 2: this would be the equivalent of like four million new 368 00:20:16,320 --> 00:20:18,800 Speaker 2: immigrants to the United States every year. On top of 369 00:20:18,880 --> 00:20:22,960 Speaker 2: like refugees and people coming on pieces, and you know, 370 00:20:22,960 --> 00:20:26,440 Speaker 2: in American terms, it would there's just there'd be no comparison. 371 00:20:26,440 --> 00:20:30,199 Speaker 2: It would be politically untenable. And what I think it 372 00:20:30,240 --> 00:20:33,439 Speaker 2: should be should be said is when this was happening 373 00:20:33,520 --> 00:20:36,240 Speaker 2: the Harper Harper years and even the first couple of 374 00:20:36,320 --> 00:20:41,200 Speaker 2: Trudeau terms, there wasn't a huge amount of published public pushback. 375 00:20:42,600 --> 00:20:45,080 Speaker 2: To some extent was artificial because it was seen as 376 00:20:45,160 --> 00:20:47,240 Speaker 2: you know, it stigmatized as racists, or at least it 377 00:20:47,320 --> 00:20:50,560 Speaker 2: once was. Before the liberals renounced their own immigration policies, 378 00:20:51,440 --> 00:20:53,919 Speaker 2: the liberal friendly media accused anyone who wanted to talk 379 00:20:53,920 --> 00:20:57,600 Speaker 2: about issues being a big racist. Now suddenly it's okay. 380 00:20:58,920 --> 00:21:04,320 Speaker 2: But even among conservatives, there is not the instinctive pushback, 381 00:21:04,480 --> 00:21:06,600 Speaker 2: the reflexive pushback against immigration in the East in the 382 00:21:06,680 --> 00:21:11,680 Speaker 2: United States, in part because there's all sorts of industries 383 00:21:11,720 --> 00:21:14,840 Speaker 2: here that have come to depend on temporary foreign workers. 384 00:21:16,200 --> 00:21:18,159 Speaker 2: You know, I was just out in British Columbia, you know, 385 00:21:18,800 --> 00:21:21,240 Speaker 2: small city called Colonna, which you know, it's the equivalent 386 00:21:21,280 --> 00:21:23,200 Speaker 2: of I don't like ask in Colorado or something like that. 387 00:21:23,600 --> 00:21:26,199 Speaker 2: And just like every retail establishment you go into is 388 00:21:26,840 --> 00:21:29,959 Speaker 2: staff by temporary foreign workers. And if businesses had to 389 00:21:30,119 --> 00:21:33,280 Speaker 2: depend like you know, your average McDonald's or Burger King 390 00:21:33,400 --> 00:21:36,000 Speaker 2: or Tim Horton's or anything like that, Like if they 391 00:21:36,000 --> 00:21:40,800 Speaker 2: had to depend on just native foreign workers who are 392 00:21:40,800 --> 00:21:44,000 Speaker 2: citizens and such, that they wouldn't be able to at 393 00:21:44,080 --> 00:21:45,840 Speaker 2: least for now, they wouldn't be able to keep their 394 00:21:45,840 --> 00:21:51,080 Speaker 2: shifts staffed. However, things, as with a lot of things 395 00:21:51,160 --> 00:21:53,880 Speaker 2: Trudeau did, he just never knew when to say quit. 396 00:21:54,240 --> 00:21:57,600 Speaker 2: And the arithmetic just got insane. And here in Toronto 397 00:21:57,600 --> 00:22:00,960 Speaker 2: where I live, which I think the four million people 398 00:22:01,000 --> 00:22:03,560 Speaker 2: here and I think something like one hundred thousand or 399 00:22:03,560 --> 00:22:05,480 Speaker 2: more of those immigrants end up in Toronto every year. 400 00:22:06,480 --> 00:22:08,760 Speaker 2: I mean, home prices have just gone through the roof 401 00:22:08,840 --> 00:22:12,080 Speaker 2: because there's only so much land, and you just got 402 00:22:12,440 --> 00:22:14,679 Speaker 2: tons of people coming in, a lot of them who 403 00:22:14,760 --> 00:22:17,480 Speaker 2: have a ton of cash. Because for all it's touchy 404 00:22:17,520 --> 00:22:23,280 Speaker 2: feely reputation, Candidis, immigration laws are actually very hard headed 405 00:22:23,320 --> 00:22:27,440 Speaker 2: from an economic perspective. You know, they emphasize English and 406 00:22:27,480 --> 00:22:31,160 Speaker 2: French fluency, job skills. You get a lot of doctors 407 00:22:31,200 --> 00:22:34,760 Speaker 2: and engineers who come here. It's a points based system. 408 00:22:34,880 --> 00:22:36,520 Speaker 2: It's not you know, some people may. 409 00:22:37,119 --> 00:22:39,520 Speaker 1: Explain it points based system to American Hounians who doesn't 410 00:22:39,640 --> 00:22:40,400 Speaker 1: have to you know. 411 00:22:40,400 --> 00:22:42,440 Speaker 2: Like you're you're you're an investor and you have a 412 00:22:42,440 --> 00:22:44,600 Speaker 2: lot of cash to invest or. You have job skills, 413 00:22:44,680 --> 00:22:50,840 Speaker 2: the language fluency, your your secondary schooling. It's a sense 414 00:22:51,359 --> 00:22:54,879 Speaker 2: the test, not a specialist necessarrea. But it's more or 415 00:22:54,960 --> 00:22:58,640 Speaker 2: less trying trying to bring in immigrants who will assimilately 416 00:22:58,720 --> 00:23:05,119 Speaker 2: quickly be economically productive and hit the ground running in 417 00:23:05,240 --> 00:23:08,119 Speaker 2: terms of either starting a business or being employed or 418 00:23:08,160 --> 00:23:12,120 Speaker 2: buying real estate. There was an investor class. Actually lost 419 00:23:12,119 --> 00:23:14,840 Speaker 2: track of what they've done with the investor class status, 420 00:23:14,880 --> 00:23:16,680 Speaker 2: but you could just come in and say, hey, I've 421 00:23:16,720 --> 00:23:19,520 Speaker 2: got ten million dollars to invest in a new business, 422 00:23:19,680 --> 00:23:23,520 Speaker 2: and it was kind of your fast track. So it 423 00:23:23,640 --> 00:23:26,440 Speaker 2: was you know, Canada's reputation on the world stage is 424 00:23:26,480 --> 00:23:29,359 Speaker 2: like sort of very touchy feeling, and people sometimes assume 425 00:23:29,960 --> 00:23:33,080 Speaker 2: that everything about Canada's immigration is based on like, you know, 426 00:23:33,240 --> 00:23:37,359 Speaker 2: the tired poor, the hungary family reunification, like kind of 427 00:23:37,359 --> 00:23:41,080 Speaker 2: almost quasi refugee type criteria. But that's not the case. 428 00:23:41,200 --> 00:23:45,440 Speaker 1: Right and over that time period I experienced earlier because 429 00:23:45,680 --> 00:23:49,280 Speaker 1: even though Canada is a gigantic country physically, most will 430 00:23:49,320 --> 00:23:52,160 Speaker 1: live in a very condensed area, so that much population 431 00:23:52,680 --> 00:23:56,199 Speaker 1: and wages have stagnated. In Canada, the average GDP per 432 00:23:56,240 --> 00:23:58,680 Speaker 1: capita I think was fifty three thousand dollars in two 433 00:23:58,680 --> 00:24:01,360 Speaker 1: thousand and fifteen, right Portraito took over, and it's still 434 00:24:01,359 --> 00:24:02,920 Speaker 1: about fifty four to fifty five thousand. 435 00:24:03,000 --> 00:24:05,840 Speaker 2: Yeah, the economic performance. Now, I'm not an economist, I 436 00:24:05,880 --> 00:24:08,000 Speaker 2: don't know how much of this is due to immigration, 437 00:24:08,080 --> 00:24:13,080 Speaker 2: but I I mean, economists themselves will debate the impacts 438 00:24:13,080 --> 00:24:17,680 Speaker 2: of immigration on macro economies. But I will say that 439 00:24:18,840 --> 00:24:22,160 Speaker 2: a lot of politicians, including politicians on the right, were 440 00:24:22,240 --> 00:24:26,680 Speaker 2: kind of conflicted about immigration because there's a lot of 441 00:24:26,800 --> 00:24:28,119 Speaker 2: like a lot of my hearings around a lot of 442 00:24:28,119 --> 00:24:30,840 Speaker 2: my friends. If you already have a job and you're 443 00:24:30,840 --> 00:24:33,920 Speaker 2: already in your house, people actually kind of like immigration 444 00:24:34,000 --> 00:24:35,480 Speaker 2: in many ways. You know, when I go to the 445 00:24:35,520 --> 00:24:38,520 Speaker 2: medical clinic, sometimes the nurses they all happen to be 446 00:24:38,520 --> 00:24:41,719 Speaker 2: from Philippines. If you're if you're you're looking for like 447 00:24:42,240 --> 00:24:45,720 Speaker 2: a medical specialist, many of them are from India. As 448 00:24:45,720 --> 00:24:50,320 Speaker 2: I said entrepreneurs, I was talking to a manager this 449 00:24:50,400 --> 00:24:53,359 Speaker 2: place called Kelowna. Had a long conversation with a manager 450 00:24:53,359 --> 00:24:56,960 Speaker 2: at a Denny's and he and one of the things 451 00:24:56,960 --> 00:25:00,399 Speaker 2: he said is he said, look, because everybody in his restaurant, 452 00:25:00,440 --> 00:25:03,720 Speaker 2: it was clear, was from somewhere else. And I said, 453 00:25:03,720 --> 00:25:05,560 Speaker 2: you know, tell me about the labor situation here, and 454 00:25:05,600 --> 00:25:08,159 Speaker 2: he said, the thing is it's cheaper to bring in 455 00:25:08,280 --> 00:25:12,280 Speaker 2: temporary foreign workers, not just in terms of wages that 456 00:25:12,359 --> 00:25:14,720 Speaker 2: he said, in terms of I think the depression he 457 00:25:14,800 --> 00:25:19,160 Speaker 2: used was employment availability. So you know, they will take 458 00:25:19,200 --> 00:25:22,360 Speaker 2: any shift they've come to work, Whereas you know, someone 459 00:25:22,359 --> 00:25:24,200 Speaker 2: who's a native born Canadian, it might be like, well, 460 00:25:24,200 --> 00:25:26,560 Speaker 2: you know, I'm doing childcare that day, and I have 461 00:25:26,640 --> 00:25:29,840 Speaker 2: the side hustle on Uber and you know, I'm also 462 00:25:30,000 --> 00:25:32,119 Speaker 2: I'm studying, I'm doing this, and you know I'm doing 463 00:25:32,200 --> 00:25:35,399 Speaker 2: elder care and weekends don't work for me. And so 464 00:25:35,440 --> 00:25:39,280 Speaker 2: he just like, for a variety of reasons, entrepreneurs and 465 00:25:39,280 --> 00:25:42,520 Speaker 2: employers often have just found it easier to hire immigrants 466 00:25:42,520 --> 00:25:47,639 Speaker 2: and temporary for foreign workers. So you know, this happens 467 00:25:47,680 --> 00:25:49,320 Speaker 2: in the United States to a certain extent too, where 468 00:25:49,320 --> 00:25:51,760 Speaker 2: you have the business class, if you want to call 469 00:25:51,800 --> 00:25:55,000 Speaker 2: the you know, maybe it's part of a conservative constituency 470 00:25:55,680 --> 00:25:59,960 Speaker 2: that likes immigration and finds it does for them lower, 471 00:26:00,080 --> 00:26:03,239 Speaker 2: you know, make payroll management easier, which often does mean 472 00:26:03,280 --> 00:26:06,000 Speaker 2: paying lower wages. And if you're more working class and 473 00:26:06,000 --> 00:26:07,840 Speaker 2: you don't have a home, and you're competing with all 474 00:26:07,840 --> 00:26:11,040 Speaker 2: these new families for homes and home prices are going up, 475 00:26:11,640 --> 00:26:14,480 Speaker 2: you're competing for jobs maybe at the lower end of 476 00:26:14,520 --> 00:26:17,520 Speaker 2: the wage spectrum. You know, this dynamic will be familiar 477 00:26:17,560 --> 00:26:21,000 Speaker 2: to any American. So there's been a huge pushback, and 478 00:26:21,040 --> 00:26:24,960 Speaker 2: that pushback has gradually climbed into the middle socioeconomic rung. 479 00:26:25,040 --> 00:26:27,240 Speaker 1: So it was time for medical care. 480 00:26:27,280 --> 00:26:31,040 Speaker 2: Has increased the medical care so that that's its own issue. 481 00:26:31,359 --> 00:26:37,480 Speaker 2: Since I have been in journalism, you know, since the nineties, 482 00:26:39,520 --> 00:26:41,680 Speaker 2: there's never been a time where people weren't concerned about 483 00:26:42,080 --> 00:26:45,040 Speaker 2: wait times in medical facilities. I should also say that 484 00:26:45,160 --> 00:26:50,160 Speaker 2: healthcare generally speaking, is a provincial responsibility. So now it's 485 00:26:50,200 --> 00:26:54,120 Speaker 2: muddled because there's you know, Canada Health Act. And as 486 00:26:54,160 --> 00:26:56,560 Speaker 2: with the United States, the federal government is plowing cash 487 00:26:56,600 --> 00:27:00,919 Speaker 2: into everything, even things that aren't federal responsibilities. So and 488 00:27:01,040 --> 00:27:03,520 Speaker 2: also just in general, the fed government government often just 489 00:27:03,520 --> 00:27:06,399 Speaker 2: gets blamed for everything. You know, you talk to people 490 00:27:06,480 --> 00:27:09,040 Speaker 2: like they want the federal government to like put a stop. 491 00:27:08,800 --> 00:27:09,479 Speaker 1: In their trees. 492 00:27:09,560 --> 00:27:10,399 Speaker 2: Yeah, I know. 493 00:27:10,480 --> 00:27:12,679 Speaker 1: I've done so many campaigns and they'll sit there and say, 494 00:27:12,840 --> 00:27:15,719 Speaker 1: you know, I don't like my neighbor's overgrown bush, and like, well, 495 00:27:15,720 --> 00:27:16,920 Speaker 1: this is a congressman, So. 496 00:27:17,040 --> 00:27:19,880 Speaker 2: I I think I can talk that. You know, there's 497 00:27:19,880 --> 00:27:22,280 Speaker 2: this's I think my barber who I talk politics with, 498 00:27:22,320 --> 00:27:26,119 Speaker 2: because it's hilarious. He wants the next prime minister to 499 00:27:26,119 --> 00:27:29,960 Speaker 2: get rid of bike lanes in his neighborhood and blame 500 00:27:30,040 --> 00:27:30,640 Speaker 2: it for them. Yeah. 501 00:27:31,680 --> 00:27:34,000 Speaker 1: So I want to get to Trump because Trump, really, 502 00:27:34,520 --> 00:27:38,400 Speaker 1: despite him being a foreign leader, has had an immense 503 00:27:38,600 --> 00:27:41,960 Speaker 1: effect on this election. Trumps sitting there and talking about 504 00:27:42,040 --> 00:27:46,400 Speaker 1: annexing Canada and calling Trudeau governor. How has this affected 505 00:27:46,680 --> 00:27:47,800 Speaker 1: the Canadian voter? 506 00:27:48,720 --> 00:27:54,400 Speaker 2: So external threats always help incumbents because you know, we're humans, 507 00:27:54,760 --> 00:27:58,320 Speaker 2: which means we're we're mammals, which means you know, we 508 00:27:58,320 --> 00:28:01,760 Speaker 2: we have kin based you know, often tribal instincts, and 509 00:28:01,800 --> 00:28:06,480 Speaker 2: when there's an external threat, we it often provides like 510 00:28:06,520 --> 00:28:14,120 Speaker 2: a bonding moment within our our groups and it enhances 511 00:28:14,160 --> 00:28:17,120 Speaker 2: the status of our leader. I think this is part 512 00:28:17,160 --> 00:28:19,639 Speaker 2: of our evolutionary psychology. And you saw this on the 513 00:28:19,680 --> 00:28:22,119 Speaker 2: provincial level. So I happened to live on Ontario. We 514 00:28:22,200 --> 00:28:27,840 Speaker 2: have a again nominally conservative premier and he did gangbusters 515 00:28:28,000 --> 00:28:32,479 Speaker 2: in the most recent election, which was conducted amidst the 516 00:28:32,520 --> 00:28:39,280 Speaker 2: most unhinged protectionist bluster being admitted by Trump, and he 517 00:28:39,360 --> 00:28:41,600 Speaker 2: did great. He happened to be a conservative. But there 518 00:28:41,640 --> 00:28:43,160 Speaker 2: was this press conference where he put on like a 519 00:28:43,200 --> 00:28:45,400 Speaker 2: baseball cap that I forget what it said. It was like, 520 00:28:45,440 --> 00:28:52,320 Speaker 2: you know, screw you Trump or whatever, and it people 521 00:28:52,400 --> 00:28:55,560 Speaker 2: are like, yeah, protect us from Trump. And again he 522 00:28:55,640 --> 00:28:59,760 Speaker 2: was a conservative. He got a nice majority, and the 523 00:29:00,040 --> 00:29:04,200 Speaker 2: rule's got to boost because again it's an external threat. 524 00:29:04,760 --> 00:29:09,160 Speaker 2: People rally around the flag and the liberal and by 525 00:29:09,200 --> 00:29:11,880 Speaker 2: the way, my suspicion is no way to prove it. 526 00:29:12,560 --> 00:29:15,960 Speaker 2: The reason Trudeau hung around despite his horrible poll numbers 527 00:29:16,640 --> 00:29:19,440 Speaker 2: is his political instincts were correct that if Trump won 528 00:29:19,480 --> 00:29:23,120 Speaker 2: the election, that at whatever carbon blob was sitting in 529 00:29:23,160 --> 00:29:26,320 Speaker 2: the Prime Minister's chair at the time that happened, would 530 00:29:26,320 --> 00:29:27,360 Speaker 2: get a huge bump in the. 531 00:29:27,320 --> 00:29:28,920 Speaker 1: Polls for carbon blob. 532 00:29:29,040 --> 00:29:31,840 Speaker 2: No, because that carbon blob would be painted red and 533 00:29:31,880 --> 00:29:35,240 Speaker 2: white and would be would protect everyone from the evil Trump. 534 00:29:35,840 --> 00:29:40,280 Speaker 2: And honestly, like, maybe this isn't something conservatives want to hear, 535 00:29:40,320 --> 00:29:47,040 Speaker 2: but you know, Trump's election has been like absolute rocket 536 00:29:47,080 --> 00:29:53,000 Speaker 2: fuel for progressive politicians who are otherwise fighting a headwind. 537 00:29:53,120 --> 00:29:55,360 Speaker 2: Everyone was sick of so many of the progressive causes, 538 00:29:55,400 --> 00:29:57,400 Speaker 2: and I was like, okay, finally their day is done. 539 00:29:57,440 --> 00:29:59,160 Speaker 2: And then Trump gets elected and it's like, oh great, 540 00:29:59,400 --> 00:30:03,360 Speaker 2: now you've got these progressives, you know, dawning the mantle 541 00:30:03,440 --> 00:30:07,160 Speaker 2: of patriotism, not just in Canada but Europe, saying like, 542 00:30:07,240 --> 00:30:10,360 Speaker 2: oh this is you know, where the where the thin 543 00:30:10,480 --> 00:30:12,560 Speaker 2: progressive line protecting you from trump Ism. 544 00:30:13,000 --> 00:30:15,240 Speaker 1: Well it didn't really work for the For the German 545 00:30:15,640 --> 00:30:19,680 Speaker 1: uh Liberal Party, they lost a landslide and that was 546 00:30:19,720 --> 00:30:20,360 Speaker 1: toast Trump. 547 00:30:20,560 --> 00:30:24,880 Speaker 2: I don't followed German politics because it's so boring, okay, 548 00:30:25,440 --> 00:30:28,800 Speaker 2: And whenever I think I understand German politics, I talked 549 00:30:28,800 --> 00:30:30,920 Speaker 2: to someone that's from Germany and says, oh, but that 550 00:30:31,040 --> 00:30:33,520 Speaker 2: only works at the provincial level. That's I don't. I 551 00:30:33,560 --> 00:30:34,400 Speaker 2: don't know what accent that was. 552 00:30:34,600 --> 00:30:37,440 Speaker 1: Germany and Austria. They had elections post Trump, and the 553 00:30:37,480 --> 00:30:40,240 Speaker 1: populist did very, very well. In the center right either 554 00:30:40,320 --> 00:30:42,520 Speaker 1: came in first or second. The popular section human first 555 00:30:42,520 --> 00:30:43,080 Speaker 1: in Austria. 556 00:30:43,200 --> 00:30:46,400 Speaker 2: I'm not going to pretend I understand central European politics. 557 00:30:46,120 --> 00:30:49,120 Speaker 1: Okay, or any European An election in Western Europe. I 558 00:30:49,160 --> 00:30:52,440 Speaker 1: think Portugal is coming up. Portugal is in a few weeks, 559 00:30:52,440 --> 00:30:55,640 Speaker 1: and I'll cover that. Yeah, I love, I love, I 560 00:30:55,680 --> 00:30:58,480 Speaker 1: love politics in a way that is probably unhealthy. So 561 00:30:58,560 --> 00:31:01,400 Speaker 1: I do follow all these countries and what else, not 562 00:31:01,480 --> 00:31:05,040 Speaker 1: minor countries, but other countries that I know no American 563 00:31:06,120 --> 00:31:07,240 Speaker 1: otherwise would know. 564 00:31:07,520 --> 00:31:10,160 Speaker 2: Possibly the capital of Portugal is Lisbon. 565 00:31:11,400 --> 00:31:14,200 Speaker 1: True. The one thing I love about Canadian politics, if 566 00:31:14,200 --> 00:31:15,600 Speaker 1: I could just wax Poever. 567 00:31:15,360 --> 00:31:17,040 Speaker 2: No one has ever started a sentence that way. 568 00:31:17,120 --> 00:31:18,800 Speaker 1: I know. But the one that I find, okay, the 569 00:31:18,840 --> 00:31:21,360 Speaker 1: one I find immensely amusing that I love is Quebec 570 00:31:21,560 --> 00:31:26,000 Speaker 1: politics because Quebec, being a former French colony and then 571 00:31:26,200 --> 00:31:27,720 Speaker 1: becoming a province of had a lot of its own 572 00:31:27,720 --> 00:31:32,000 Speaker 1: independence and almost breaking away from Canada twice. They they 573 00:31:32,040 --> 00:31:35,680 Speaker 1: have their own French only politicians that really only campaign 574 00:31:35,720 --> 00:31:39,960 Speaker 1: in French speak French. Sometimes when I watch French, oh sorry, 575 00:31:40,000 --> 00:31:43,440 Speaker 1: when I watch Canadian debates, the French politicians will be 576 00:31:43,520 --> 00:31:48,280 Speaker 1: talking about completely and utterly different things than anybody. And 577 00:31:48,320 --> 00:31:50,600 Speaker 1: there was this comedian, and I don't know what she 578 00:31:50,640 --> 00:31:52,880 Speaker 1: was Canadian community. She was yeah, the Liberal party will 579 00:31:52,880 --> 00:31:56,200 Speaker 1: talk about increasing government, the Conserative party will about crediting government, 580 00:31:56,240 --> 00:31:58,800 Speaker 1: and the French politician will talk about producing the price 581 00:31:58,800 --> 00:32:00,240 Speaker 1: of cigarettes for children. 582 00:32:02,480 --> 00:32:04,720 Speaker 2: So and by the way, it goes beyond that. In 583 00:32:04,800 --> 00:32:09,200 Speaker 2: terms of media culture, there's TV shows obviously Canadians have 584 00:32:09,240 --> 00:32:12,280 Speaker 2: never heard of that are like in Quebec. Everyone stops 585 00:32:12,280 --> 00:32:16,280 Speaker 2: what they're doing to watch. It's like they have their 586 00:32:16,280 --> 00:32:19,920 Speaker 2: own celebrity star systems. So they're like Quebec celebrities that 587 00:32:20,120 --> 00:32:23,160 Speaker 2: I mean, some of the Quebec celebrities escape containment, like Celenion. 588 00:32:24,560 --> 00:32:28,200 Speaker 2: But you know, I mean there are a few commonalities, 589 00:32:28,240 --> 00:32:30,920 Speaker 2: like hockey and stuff like that. But yeah, I mean, 590 00:32:31,040 --> 00:32:35,000 Speaker 2: so it used to be the case. I think it 591 00:32:35,040 --> 00:32:37,760 Speaker 2: was Dick Morris. I think Dick Morris gave a speech 592 00:32:37,760 --> 00:32:40,360 Speaker 2: in Toronto a couple of decades ago and said, from 593 00:32:40,360 --> 00:32:45,960 Speaker 2: his knowledge of Canadian politics, regionalism is our race where 594 00:32:46,760 --> 00:32:49,920 Speaker 2: But that's dated so that doesn't really exist anymore except 595 00:32:49,960 --> 00:32:52,680 Speaker 2: in Quebec. But it used to be that Alberta had 596 00:32:52,680 --> 00:32:56,280 Speaker 2: its own super distinct identity. Newfoundlands certainly absolutely had its 597 00:32:56,320 --> 00:33:00,960 Speaker 2: own distinctive identity the Atlantic provinces. Now that's been diluted 598 00:33:00,960 --> 00:33:05,880 Speaker 2: a lot because of globalization, immigration, as you know, labor mobility. 599 00:33:05,920 --> 00:33:07,800 Speaker 2: People moved to the oil fields. You know, a lot 600 00:33:07,840 --> 00:33:10,840 Speaker 2: of white collar workers moving around the country during COVID 601 00:33:10,960 --> 00:33:14,280 Speaker 2: just wherever they can get a home and working remote. So, 602 00:33:14,920 --> 00:33:17,400 Speaker 2: but Quebec is different because it has its own language 603 00:33:17,400 --> 00:33:21,000 Speaker 2: and culture, and you know, the equivalent would be like 604 00:33:21,440 --> 00:33:24,680 Speaker 2: if there's no real equivalent in the United States because 605 00:33:24,720 --> 00:33:27,680 Speaker 2: even your you know, your former French speaking areas like Louisiana, 606 00:33:28,200 --> 00:33:29,720 Speaker 2: at least since you know the early. 607 00:33:30,120 --> 00:33:33,440 Speaker 1: It's almost in the same as Texans being Texas. Being 608 00:33:33,480 --> 00:33:35,360 Speaker 1: Texan is a personality trade within that. 609 00:33:35,480 --> 00:33:38,840 Speaker 2: So but but you know, but that's not even that. 610 00:33:38,880 --> 00:33:40,720 Speaker 2: Like I've been you know, if you go to Austin, 611 00:33:40,960 --> 00:33:42,760 Speaker 2: I mean Austin. When you're in Austin, you might as 612 00:33:42,760 --> 00:33:44,080 Speaker 2: well be in Massachusetts. 613 00:33:44,080 --> 00:33:46,360 Speaker 1: Like I mean, they to be from Austin, they're not 614 00:33:46,440 --> 00:33:48,920 Speaker 1: from Texas. Yes, but that's the closest I have because 615 00:33:48,920 --> 00:33:49,920 Speaker 1: we don't actually. 616 00:33:49,600 --> 00:33:52,560 Speaker 2: But there's the language thing. It's like, yeah, you don't 617 00:33:52,600 --> 00:33:56,360 Speaker 2: have to be Like imagine if everybody in Florida spoke 618 00:33:56,480 --> 00:34:01,520 Speaker 2: alligator language and they had their own alligator celebrity truth. 619 00:34:01,880 --> 00:34:04,480 Speaker 2: I mean, that would be different and like when election 620 00:34:04,560 --> 00:34:07,240 Speaker 2: time came, all they would care about is like, you know, 621 00:34:07,640 --> 00:34:09,479 Speaker 2: what are you going to do about like the shorter 622 00:34:09,600 --> 00:34:12,960 Speaker 2: devaligator food, Like it's just having your own langue, language 623 00:34:12,960 --> 00:34:17,800 Speaker 2: and culture go together. Quebec is Canada is a bilingual country. 624 00:34:17,840 --> 00:34:22,239 Speaker 2: It's that's one little quirk we have, although weirdly there's 625 00:34:22,239 --> 00:34:24,680 Speaker 2: no you know, people in English Canada we try and 626 00:34:24,719 --> 00:34:28,200 Speaker 2: predict this stuff. But Mark Kearney, who's French is weak 627 00:34:28,719 --> 00:34:31,560 Speaker 2: and who like didn't want to take part in the 628 00:34:31,600 --> 00:34:35,560 Speaker 2: French language debate. At first, people say, oh, this guy's 629 00:34:35,560 --> 00:34:37,800 Speaker 2: gonna at clauborated because it's French, is terrible. But people 630 00:34:37,960 --> 00:34:39,680 Speaker 2: I don't know in Quebec they kind of like the guy. 631 00:34:39,920 --> 00:34:42,440 Speaker 2: So I like in English Canada, there's this whole cottage 632 00:34:42,440 --> 00:34:45,520 Speaker 2: industry of trying to predict how things will play in Quebec, 633 00:34:45,520 --> 00:34:46,359 Speaker 2: and we always get it wrong. 634 00:34:46,800 --> 00:34:51,120 Speaker 1: My last question is if you could you know, I 635 00:34:51,440 --> 00:34:54,920 Speaker 1: know what Poles say in your gut as a Canadian citizen. 636 00:34:55,239 --> 00:34:57,120 Speaker 1: Do the Conservatives have a chance to pull it out? 637 00:34:57,239 --> 00:34:59,880 Speaker 1: Or really is it liberals to lose? 638 00:35:00,040 --> 00:35:03,880 Speaker 2: I had no idea, so I so every political prediction 639 00:35:03,920 --> 00:35:06,440 Speaker 2: I've ever made in public, since I like my ber 640 00:35:06,560 --> 00:35:09,880 Speaker 2: mitzvah has been completely wrong, and so I wrote a 641 00:35:10,040 --> 00:35:13,160 Speaker 2: you're talking to somebody who once wrote a column. Stephen 642 00:35:13,200 --> 00:35:15,520 Speaker 2: Harper came to visit This is way back before he 643 00:35:15,560 --> 00:35:19,279 Speaker 2: was Prime minister, like in the in the primordial days 644 00:35:19,320 --> 00:35:22,360 Speaker 2: of my early employment at the National Post. It was like, 645 00:35:23,040 --> 00:35:25,799 Speaker 2: what was it, nineteen nineties and he came to visit 646 00:35:25,800 --> 00:35:27,479 Speaker 2: the National Post at a tour board and I found 647 00:35:27,520 --> 00:35:30,840 Speaker 2: him like very cranky and condescending, and I wrote this 648 00:35:30,880 --> 00:35:33,040 Speaker 2: eight hundred word column. I was like, oh man, this 649 00:35:33,040 --> 00:35:34,880 Speaker 2: this guy thinks he's going to become prime minister with 650 00:35:35,000 --> 00:35:38,239 Speaker 2: a joke. And I started like ticking off sort of 651 00:35:38,719 --> 00:35:40,719 Speaker 2: people who I thought would make a great replacement for 652 00:35:40,760 --> 00:35:44,799 Speaker 2: Harper after his predictable flame out in the election. And 653 00:35:44,840 --> 00:35:48,440 Speaker 2: then he got a majority government. And this is before Twitter, thankfully, 654 00:35:48,480 --> 00:35:50,360 Speaker 2: so no one could like rub my column in my 655 00:35:50,400 --> 00:35:53,399 Speaker 2: face and say, yeah. I think people were a lot 656 00:35:53,440 --> 00:35:56,520 Speaker 2: more casual about their predictions before social media, because like 657 00:35:56,960 --> 00:35:58,560 Speaker 2: half of your brain is saying, how will this look 658 00:35:58,560 --> 00:36:01,000 Speaker 2: when it's rubbed in my face when I'm wrong? But 659 00:36:01,040 --> 00:36:03,120 Speaker 2: I remember at that moment I said, I'm never making 660 00:36:03,120 --> 00:36:06,240 Speaker 2: a prediction of political prediction, because literally, if I told 661 00:36:06,280 --> 00:36:08,279 Speaker 2: you that A is going to win, it means B's 662 00:36:08,280 --> 00:36:08,600 Speaker 2: going to win. 663 00:36:08,600 --> 00:36:11,440 Speaker 1: By Alge is doing a good campaign at least. 664 00:36:11,719 --> 00:36:14,000 Speaker 2: The problem the problem with me. I feel feel for 665 00:36:14,040 --> 00:36:18,840 Speaker 2: the guy because his main campaign plank was vote for 666 00:36:18,920 --> 00:36:22,320 Speaker 2: me or you're going to get four more years of Trudeau. 667 00:36:22,880 --> 00:36:27,279 Speaker 2: And then Trudeau says, Okay, I'm leaving, and this this 668 00:36:27,320 --> 00:36:30,640 Speaker 2: hole in the air, and Mark Karney becomes the liberal 669 00:36:30,680 --> 00:36:37,160 Speaker 2: carbon blob and it's a lot easier to campaign against this, 670 00:36:37,160 --> 00:36:39,160 Speaker 2: this guy who everyone hates. I mean even a lot 671 00:36:39,160 --> 00:36:41,120 Speaker 2: of liberals hated Trudeau. He was just kind of it's 672 00:36:41,160 --> 00:36:43,480 Speaker 2: something about truth. He was very dated, like this is 673 00:36:43,520 --> 00:36:46,640 Speaker 2: this social justice guy and like, you know, going on 674 00:36:46,800 --> 00:36:51,400 Speaker 2: these like drag shows and like and I'm like fairly 675 00:36:51,440 --> 00:36:53,840 Speaker 2: socially progressive, but even my gay friends were like, you know, 676 00:36:54,160 --> 00:36:56,200 Speaker 2: he'd go to Pride and act like he'd never been 677 00:36:56,200 --> 00:36:58,160 Speaker 2: in a Pride parade and just start acting out let's 678 00:36:58,160 --> 00:37:01,799 Speaker 2: speak like an idiot, and everyone was just sick of 679 00:37:01,840 --> 00:37:06,359 Speaker 2: the guy. The performance performed of social justice crap and 680 00:37:06,400 --> 00:37:09,480 Speaker 2: like sort of his Maudelin displays of contrition about Canada's 681 00:37:09,520 --> 00:37:13,839 Speaker 2: allegedly genocidal history. The whole act graded on everyone. And 682 00:37:14,200 --> 00:37:17,160 Speaker 2: when the day he announced that he wouldn't be running 683 00:37:18,040 --> 00:37:21,719 Speaker 2: in the next election was the day that life became 684 00:37:22,120 --> 00:37:26,399 Speaker 2: difficult for Polyev because that was his big A lot 685 00:37:26,440 --> 00:37:28,960 Speaker 2: of Canadian politics is like it's just you're sick of 686 00:37:29,000 --> 00:37:31,040 Speaker 2: one guy and so you vote for the other guy. 687 00:37:31,320 --> 00:37:34,440 Speaker 2: It even happens in our mayoral elections, like we had 688 00:37:34,440 --> 00:37:40,480 Speaker 2: this this uh blow dried Harvard grad named David Miller 689 00:37:40,680 --> 00:37:44,399 Speaker 2: as our mayor in Toronto, and when people were sick 690 00:37:44,760 --> 00:37:48,840 Speaker 2: of him, they voted for this, Like alcoholic Rube named 691 00:37:49,000 --> 00:37:51,040 Speaker 2: Rob Ford my. 692 00:37:51,080 --> 00:37:52,600 Speaker 1: Favorite Canadian Polisian of all time. 693 00:37:52,680 --> 00:37:54,200 Speaker 2: Yeah, I mean he was just like this sort of 694 00:37:54,239 --> 00:37:57,399 Speaker 2: like YouTube celebrity for all the wrong reasons. And that's 695 00:37:57,480 --> 00:37:59,000 Speaker 2: kind of what happens, is like they were sick of 696 00:37:59,000 --> 00:38:01,720 Speaker 2: one extreme, so they go for the other. And Pouliev 697 00:38:01,840 --> 00:38:03,839 Speaker 2: was hoping to benefit from that, and he had every 698 00:38:03,880 --> 00:38:06,879 Speaker 2: reason to benefit from that, and he was saved by 699 00:38:06,880 --> 00:38:09,360 Speaker 2: the Liberal rank and file who, in their very genteel 700 00:38:09,640 --> 00:38:13,919 Speaker 2: Canadian throat, clear and way, told Trudeau to take a hike, 701 00:38:14,280 --> 00:38:17,200 Speaker 2: which he did. And if Trudeau had hung on because 702 00:38:17,200 --> 00:38:20,719 Speaker 2: there's no real mechanism that the Liberals had available to 703 00:38:20,760 --> 00:38:24,840 Speaker 2: them to get rid of Trudeau, to force the issue realistically, like, 704 00:38:24,880 --> 00:38:26,960 Speaker 2: if Trudeau had wanted to run in the next election, 705 00:38:27,040 --> 00:38:31,760 Speaker 2: he probably could have. And that's what Pouliever I think expected, 706 00:38:31,800 --> 00:38:34,080 Speaker 2: and unfortunately he didn't get that. He got someone who 707 00:38:34,120 --> 00:38:37,960 Speaker 2: had kind of a neutral reputation who then got the 708 00:38:37,960 --> 00:38:42,400 Speaker 2: benefit of Trump coming in and essentially threatening to destroy 709 00:38:42,440 --> 00:38:45,959 Speaker 2: the North American economy of spite and giving a huge 710 00:38:45,960 --> 00:38:50,360 Speaker 2: shot in the arm to Canadian the Canadian left. And 711 00:38:50,360 --> 00:38:51,840 Speaker 2: I don't want to predict that the Canadian well, I 712 00:38:51,880 --> 00:38:53,560 Speaker 2: guess I do want to predict that the Liberals are 713 00:38:53,560 --> 00:38:56,400 Speaker 2: going to win because the oppoite WI happened. But like 714 00:38:56,600 --> 00:38:59,920 Speaker 2: you know, that's between Trudeau quitting and Trump getting elected. 715 00:39:00,160 --> 00:39:04,080 Speaker 2: That explains ninety five percent of what's happening in Canadian politics. 716 00:39:04,160 --> 00:39:06,160 Speaker 1: Well, Johnathan K, thank you for being on this podcast. 717 00:39:06,200 --> 00:39:08,600 Speaker 1: Where can people go to read your stuff or read your 718 00:39:08,640 --> 00:39:09,560 Speaker 1: tweets anything? 719 00:39:10,200 --> 00:39:12,800 Speaker 2: Oh, I'm on what used to be called Twitter at 720 00:39:12,960 --> 00:39:16,560 Speaker 2: John K j O n kay or you'll get more 721 00:39:16,640 --> 00:39:22,320 Speaker 2: of my mordant, acerbic, say anything bad boy Canadian social 722 00:39:22,320 --> 00:39:27,280 Speaker 2: and media offerings. But then my main gig is Quillette, 723 00:39:27,400 --> 00:39:31,760 Speaker 2: which is QUI double l E doublete It's an Australian outlet, 724 00:39:31,840 --> 00:39:35,720 Speaker 2: but my boss lets me publish all kinds of Canadian stuff, 725 00:39:36,760 --> 00:39:39,719 Speaker 2: assuming anyone listening to this has any appetite for you know, 726 00:39:39,880 --> 00:39:44,680 Speaker 2: usually like Americans call me when something, some huge epic 727 00:39:44,719 --> 00:39:47,080 Speaker 2: thing happens in Canada, like an election or something, but 728 00:39:47,120 --> 00:39:48,640 Speaker 2: then I don't hear from them in five years. So 729 00:39:49,640 --> 00:39:53,080 Speaker 2: it could be that like this sort of states your 730 00:39:53,160 --> 00:39:55,400 Speaker 2: audience until the next election. Bet who maybe we'll have 731 00:39:55,440 --> 00:39:57,000 Speaker 2: another trucker protest or something. I don't know. 732 00:39:57,400 --> 00:39:59,560 Speaker 1: Great, Well, thank you so much for being on this podcast. 733 00:39:59,640 --> 00:40:01,319 Speaker 1: Will speak to you soon and we'll see what goes 734 00:40:01,360 --> 00:40:05,520 Speaker 1: on on Monday. Hey, we'll be right back after this. 735 00:40:08,960 --> 00:40:11,160 Speaker 1: Now it's time for the ask Me Anything segment. You 736 00:40:11,160 --> 00:40:13,360 Speaker 1: can literally ask me any kind of question. Please email 737 00:40:13,400 --> 00:40:15,719 Speaker 1: me your questions. It's always great to get more and 738 00:40:15,920 --> 00:40:19,680 Speaker 1: different opinions and different questions about broad subject issues. It's 739 00:40:19,800 --> 00:40:24,120 Speaker 1: Ryan at Numbers Game Podcast dot com. That's ryanat numbers 740 00:40:24,160 --> 00:40:28,040 Speaker 1: Plural Game podcast dot com. Shoot me an email over 741 00:40:28,080 --> 00:40:29,840 Speaker 1: anything and I'll see if I know the answer, if 742 00:40:29,880 --> 00:40:31,960 Speaker 1: I could research it and give you my opinion. So 743 00:40:32,000 --> 00:40:34,719 Speaker 1: my question today was, as a Catholic, what will be 744 00:40:34,719 --> 00:40:37,000 Speaker 1: the legacy of Pope Francis, and who do you think 745 00:40:37,040 --> 00:40:40,320 Speaker 1: will be the next pope? Okay, I am very interested 746 00:40:40,360 --> 00:40:42,719 Speaker 1: in this question because I am a Catholic even though 747 00:40:43,000 --> 00:40:45,160 Speaker 1: I look and act and sound and everything Jewish, and 748 00:40:45,160 --> 00:40:46,920 Speaker 1: I'm from New York City. I'm a Jewish last name, 749 00:40:46,960 --> 00:40:49,200 Speaker 1: so people get confused all the time, but I am 750 00:40:49,360 --> 00:40:52,120 Speaker 1: in fact, born and raised Catholic on both sides of 751 00:40:52,120 --> 00:40:57,600 Speaker 1: my family. And hearing non Catholics do panels on radio 752 00:40:57,640 --> 00:41:00,640 Speaker 1: and television and podcasts in the last day and a 753 00:41:00,680 --> 00:41:03,560 Speaker 1: half or two days since he passed away has been 754 00:41:04,000 --> 00:41:06,239 Speaker 1: infuriating because they don't know what they're talking about. Most 755 00:41:06,280 --> 00:41:08,360 Speaker 1: of the Catholics know what they're talking about, but definitely 756 00:41:08,400 --> 00:41:13,400 Speaker 1: the non Catholics. They've been giving analysis over his Pope 757 00:41:13,400 --> 00:41:17,680 Speaker 1: Francis's leadership as a changing doctrine and you know how 758 00:41:17,680 --> 00:41:21,160 Speaker 1: we altered the Catholic Church and all the rest of 759 00:41:21,200 --> 00:41:24,560 Speaker 1: the stuff. A pope doesn't have the ability to change 760 00:41:24,600 --> 00:41:28,000 Speaker 1: doctrine on his own. That didn't happen. A pope doesn't 761 00:41:28,040 --> 00:41:31,480 Speaker 1: have the ability to change the Bible or to change 762 00:41:31,600 --> 00:41:34,880 Speaker 1: the Catechism on his own. None of that stuff actually happened. 763 00:41:34,880 --> 00:41:39,319 Speaker 1: While Pope Francis was Pope Francis who I had a 764 00:41:39,360 --> 00:41:44,360 Speaker 1: more critical opinion of, primarily because when there were big 765 00:41:44,440 --> 00:41:48,640 Speaker 1: issues affecting Catholics in countries that were predominantly Catholic, that 766 00:41:48,760 --> 00:41:53,280 Speaker 1: were that were that would have been a negative media 767 00:41:53,280 --> 00:41:58,200 Speaker 1: attention story for him, Like when Ireland legalized abortion, Pope 768 00:41:58,200 --> 00:42:00,600 Speaker 1: Francis was nowhere to be seen. He didn't to Ireland 769 00:42:00,640 --> 00:42:04,360 Speaker 1: a campaign against abortion. He didn't do really anything. He 770 00:42:04,400 --> 00:42:06,960 Speaker 1: didn't take a brave step whatsoever. He kind of let 771 00:42:07,040 --> 00:42:08,719 Speaker 1: the vote, you know. Labor Is and I got into 772 00:42:08,760 --> 00:42:10,680 Speaker 1: a fight. I remember one time with some of my 773 00:42:10,760 --> 00:42:12,359 Speaker 1: Catholic friends who said, oh, he would have been laughed 774 00:42:12,400 --> 00:42:13,719 Speaker 1: out of the country, and I was like, yeah, and 775 00:42:13,760 --> 00:42:17,239 Speaker 1: Peter died on a cross for Christ. I mean, so 776 00:42:17,360 --> 00:42:20,280 Speaker 1: what he would have been laughed out of the country. 777 00:42:20,360 --> 00:42:23,640 Speaker 1: Who cares you do what's right, especially if you are 778 00:42:23,680 --> 00:42:26,360 Speaker 1: a religious leader and a moral leader in the same 779 00:42:26,480 --> 00:42:28,239 Speaker 1: I'm trying to be as respectful as possible in the 780 00:42:28,280 --> 00:42:31,920 Speaker 1: same vein as Pope John Paul the Second, who really 781 00:42:32,080 --> 00:42:36,120 Speaker 1: liked good media and good press. Pope Francis really liked 782 00:42:36,160 --> 00:42:38,439 Speaker 1: good media and good press and set things that were 783 00:42:38,480 --> 00:42:42,920 Speaker 1: doctortally untrue and were in conflict with the church in 784 00:42:43,080 --> 00:42:46,480 Speaker 1: order to garner positive press. It didn't change the doctrine 785 00:42:46,520 --> 00:42:50,160 Speaker 1: of the church. It just got him positive mentions from 786 00:42:50,200 --> 00:42:54,319 Speaker 1: liberal media. I have a big problem with that as 787 00:42:54,360 --> 00:42:57,040 Speaker 1: a person who tries really hard to stay as close 788 00:42:57,040 --> 00:42:59,000 Speaker 1: to the faith as I use as I possibly can, 789 00:42:59,320 --> 00:43:02,440 Speaker 1: and I don't just chasing whatever, you know, the whims 790 00:43:02,480 --> 00:43:05,120 Speaker 1: of a good headline or a good news article when 791 00:43:05,160 --> 00:43:08,400 Speaker 1: I see fit. That's my big thing. His legacy is 792 00:43:08,480 --> 00:43:11,000 Speaker 1: changing the College of Cardinals. He really made it much 793 00:43:11,080 --> 00:43:15,879 Speaker 1: more in the same quote end quote liberal vanishm it's 794 00:43:15,920 --> 00:43:20,560 Speaker 1: not like an American liberalism, it doesn't transfer as easily, 795 00:43:21,040 --> 00:43:24,960 Speaker 1: but made it much more liberal than a lot of 796 00:43:25,200 --> 00:43:27,920 Speaker 1: young priests in the Catholic Church are. Young priests in 797 00:43:27,920 --> 00:43:30,640 Speaker 1: the Catholic Church, especially from Western countries, are much more 798 00:43:30,680 --> 00:43:35,600 Speaker 1: conservative than people of post Francis's generation, much more a 799 00:43:35,640 --> 00:43:39,480 Speaker 1: part of the believer in the doctrine, and there's a 800 00:43:39,520 --> 00:43:43,319 Speaker 1: conflict in generations within the priesthood. So that's his ultimate thing, 801 00:43:43,400 --> 00:43:44,960 Speaker 1: is how he's going to change how we changed the 802 00:43:44,960 --> 00:43:48,400 Speaker 1: car College of Cardinals and how that will affect the 803 00:43:48,520 --> 00:43:52,040 Speaker 1: church going forward in the future. That's really his biggest legacy. 804 00:43:52,320 --> 00:43:54,600 Speaker 1: It's not a sexy legacy, so no one's not It's 805 00:43:54,600 --> 00:43:57,239 Speaker 1: not a sexy American news headline, so no one's going 806 00:43:57,280 --> 00:44:00,719 Speaker 1: to really be that interested. People who hated him will 807 00:44:00,719 --> 00:44:03,279 Speaker 1: call him a communist or socialist warrior. People who loved 808 00:44:03,360 --> 00:44:05,759 Speaker 1: him will call him a uh, you know, supporter of 809 00:44:05,760 --> 00:44:08,719 Speaker 1: the poor and the downtrotted or whatever whatever have you. 810 00:44:09,880 --> 00:44:12,560 Speaker 1: But really that's really the biggest part of his legacy. 811 00:44:12,800 --> 00:44:14,600 Speaker 1: Who will be Pope next? I would love to be 812 00:44:14,760 --> 00:44:17,240 Speaker 1: Cardinal Sarah. It's probably not gonna be him. He's too old. 813 00:44:18,400 --> 00:44:21,240 Speaker 1: They really try not to pick someone in his age bracket. 814 00:44:21,440 --> 00:44:22,919 Speaker 1: He would have been a great pope, though that would 815 00:44:22,920 --> 00:44:25,440 Speaker 1: have ever happened. So I don't think it's gonna be 816 00:44:25,520 --> 00:44:27,759 Speaker 1: Cardinal Sarah, which by some people on the right on 817 00:44:27,880 --> 00:44:29,680 Speaker 1: social media and saying, oh it's gonna be him. It's 818 00:44:29,719 --> 00:44:31,840 Speaker 1: not going to be very, very unlikely going to be 819 00:44:31,840 --> 00:44:35,200 Speaker 1: Cardinal Sarah. He's also way too conservative, I think for 820 00:44:35,239 --> 00:44:38,399 Speaker 1: the current college of cardinals, my money, if I had 821 00:44:38,440 --> 00:44:43,920 Speaker 1: to bet, would probably Cardinal Pietro Pauline. He is probably 822 00:44:43,960 --> 00:44:47,440 Speaker 1: also butchered his last name like Pierre from Canada. But 823 00:44:48,320 --> 00:44:52,600 Speaker 1: Cardinal Pietro is uh basically second in line. He's probably 824 00:44:52,600 --> 00:44:56,560 Speaker 1: the safest bet, the dark horse. The only one who 825 00:44:56,600 --> 00:44:59,600 Speaker 1: probably could upset this. It would be Cardinal Pi's a 826 00:44:59,640 --> 00:45:02,520 Speaker 1: balla that is a person's real name. He is from 827 00:45:02,560 --> 00:45:05,640 Speaker 1: Italy and his name is pieceabala It would be like JK. 828 00:45:05,800 --> 00:45:08,920 Speaker 1: Rowling or writing cardinal names and Harry Potter. But Cardinal 829 00:45:09,000 --> 00:45:12,920 Speaker 1: piece of bala Is is from He's from Italy. But 830 00:45:13,000 --> 00:45:15,640 Speaker 1: he is the cardinal for the Middle East and very 831 00:45:15,920 --> 00:45:19,680 Speaker 1: very bravely offered his life in exchange for the hostages 832 00:45:20,000 --> 00:45:26,479 Speaker 1: during the during the war there over Gaza. And that's 833 00:45:26,600 --> 00:45:30,399 Speaker 1: a very honorable thing. That and a really real act 834 00:45:30,400 --> 00:45:32,840 Speaker 1: of courage on behalf of Cardinal of like that we 835 00:45:32,880 --> 00:45:36,359 Speaker 1: haven't seen very often. So that's my bet, though we'll 836 00:45:36,400 --> 00:45:37,040 Speaker 1: see what happens. 837 00:45:37,040 --> 00:45:37,320 Speaker 2: I don't know. 838 00:45:37,360 --> 00:45:39,080 Speaker 1: I don't make any decisions. I don't let the white 839 00:45:39,080 --> 00:45:42,400 Speaker 1: smoke go from the from from the Vatican. 840 00:45:43,239 --> 00:45:43,719 Speaker 2: Anyway. 841 00:45:43,840 --> 00:45:46,400 Speaker 1: Thank you for listening again this week. I really appreciate it. 842 00:45:46,440 --> 00:45:49,360 Speaker 1: Please like and subscribe on the iHeartRadio app Apple podcast 843 00:45:49,360 --> 00:45:51,759 Speaker 1: where you get your podcast. We'll see you guys next week.