1 00:00:04,800 --> 00:00:07,520 Speaker 1: On this episode of newch World. In his new book, 2 00:00:08,119 --> 00:00:12,640 Speaker 1: The American War on Election Corruption, Seth Keshel draws on 3 00:00:12,720 --> 00:00:17,759 Speaker 1: his unparalleled expertise to reveal the hidden battles and solutions 4 00:00:18,079 --> 00:00:22,560 Speaker 1: to restore integrity to our elections. Keshel's impressive knowledge of history, 5 00:00:22,960 --> 00:00:27,320 Speaker 1: combined with his unique methodologies and understanding of modern election law, 6 00:00:27,760 --> 00:00:31,480 Speaker 1: makes the most compelling case to date that our elections 7 00:00:31,480 --> 00:00:35,720 Speaker 1: are in dire need of reform. Keshell's military intelligence background 8 00:00:36,080 --> 00:00:40,640 Speaker 1: informs his methodical dismantling of the way decades of incremental 9 00:00:40,720 --> 00:00:46,559 Speaker 1: changes quietly advanced by politicians, bureaucrats, and special interests have 10 00:00:46,680 --> 00:00:51,880 Speaker 1: transformed the American voting system. He presents his signature ten 11 00:00:51,960 --> 00:00:56,880 Speaker 1: Points to the True Election Integrity, a practical blueprint encompassing 12 00:00:57,000 --> 00:01:01,160 Speaker 1: same day and in person voting paper bell and rigorous 13 00:01:01,160 --> 00:01:04,400 Speaker 1: scrutiny of voter rolls. Here to discuss this new book, 14 00:01:04,760 --> 00:01:07,960 Speaker 1: I am really pleased to welcome my guest, Seth Keshel, 15 00:01:08,440 --> 00:01:13,600 Speaker 1: former Army Captain of Military Intelligence, Afghanistan veteran. His analytical 16 00:01:13,600 --> 00:01:18,360 Speaker 1: method of election forecasting and analytics is known worldwide, and 17 00:01:18,400 --> 00:01:21,120 Speaker 1: he's been commended by President Donald J. Trump for his 18 00:01:21,200 --> 00:01:24,880 Speaker 1: work in the field. He writes regularly at his substack 19 00:01:25,000 --> 00:01:39,480 Speaker 1: newsletter Captain K's Corner, Seth. Welcome and thank you for 20 00:01:39,600 --> 00:01:40,720 Speaker 1: joining me again a new world. 21 00:01:41,000 --> 00:01:42,320 Speaker 2: Thank you for having me back on. 22 00:01:42,720 --> 00:01:46,280 Speaker 1: Since we've talked, you have really done something pretty remarkable 23 00:01:46,800 --> 00:01:50,160 Speaker 1: in your new book, The American War and Election Corruption, 24 00:01:50,680 --> 00:01:54,240 Speaker 1: The Crusade to Restore Trust and Voting. It is so timely, 25 00:01:54,760 --> 00:01:57,760 Speaker 1: and you are such an expert in this area that 26 00:01:57,840 --> 00:02:01,680 Speaker 1: I'm really delighted that you are able to spend some 27 00:02:01,760 --> 00:02:04,760 Speaker 1: time with us. Tell them just one or two. When 28 00:02:04,760 --> 00:02:07,240 Speaker 1: you came out of the army, you became I think 29 00:02:07,280 --> 00:02:13,239 Speaker 1: America's leading expert on voter registration and discerned all sorts 30 00:02:13,240 --> 00:02:16,320 Speaker 1: of long term trends and patterns that nobody in the 31 00:02:16,760 --> 00:02:20,119 Speaker 1: left wing media wants to cover. And then as part 32 00:02:20,160 --> 00:02:24,919 Speaker 1: of that process, you realized how really corrupt the election 33 00:02:25,080 --> 00:02:28,000 Speaker 1: system is in much of the country. What got you 34 00:02:28,200 --> 00:02:28,720 Speaker 1: into all of this? 35 00:02:30,120 --> 00:02:32,400 Speaker 2: The last time we did an episode was right before 36 00:02:32,440 --> 00:02:34,440 Speaker 2: the twenty twenty four election, and we nailed it right 37 00:02:34,440 --> 00:02:37,800 Speaker 2: on the money. But the election forecasting was a hobby 38 00:02:37,840 --> 00:02:40,280 Speaker 2: for me. I've always been interested in politics since I 39 00:02:40,320 --> 00:02:42,679 Speaker 2: was in high school. Maybe a greater way to put it, 40 00:02:42,800 --> 00:02:46,079 Speaker 2: not so much politics, but the fight for liberties, defending freedoms. 41 00:02:46,560 --> 00:02:49,080 Speaker 2: And I grew up in the South, so naturally I 42 00:02:49,160 --> 00:02:53,359 Speaker 2: was a Republican oriented young person, a voter, and as 43 00:02:53,400 --> 00:02:55,359 Speaker 2: I got out of the army, my mind was already 44 00:02:55,400 --> 00:02:58,639 Speaker 2: geared towards statistical analysis as a baseball analyst, but also 45 00:02:59,120 --> 00:03:02,000 Speaker 2: as an army a teliness officer, taking large amounts of 46 00:03:02,080 --> 00:03:05,519 Speaker 2: data and trying to condense it into actionable chunks for 47 00:03:05,520 --> 00:03:09,240 Speaker 2: people to use. So the twenty sixteen election came, I 48 00:03:09,320 --> 00:03:12,000 Speaker 2: remembered the twenty twelve election, in which everyone that I 49 00:03:12,160 --> 00:03:15,680 Speaker 2: associated with army officers, of course, just knew that Obama 50 00:03:15,760 --> 00:03:18,000 Speaker 2: wasn't going to be re elected. And we had a 51 00:03:18,040 --> 00:03:20,680 Speaker 2: few polls here and there, but we definitely had what 52 00:03:20,680 --> 00:03:23,800 Speaker 2: I would call fallacy of consensus, in which everybody we 53 00:03:23,840 --> 00:03:25,880 Speaker 2: talked to of is a similar demographic. And then the 54 00:03:25,919 --> 00:03:29,160 Speaker 2: results were Romney won two hundred and six electoral votes. 55 00:03:29,520 --> 00:03:33,799 Speaker 2: So in twenty sixteen, when Trump became the apparent Republican nominee, 56 00:03:33,800 --> 00:03:37,600 Speaker 2: the polls were busy turning out Clinton plus fifteen margins. 57 00:03:37,600 --> 00:03:40,400 Speaker 2: This was in the springtime before Trump was officially the nominee, 58 00:03:40,640 --> 00:03:43,320 Speaker 2: and I knew just watching the behavior of the campaigns. 59 00:03:43,520 --> 00:03:46,080 Speaker 2: Trump was in the industrial Midwest. He was in Wisconsin. 60 00:03:46,200 --> 00:03:48,960 Speaker 2: These are states that hadn't voted Republican since the nineteen 61 00:03:48,960 --> 00:03:53,360 Speaker 2: eighties for president, and the polls were showing a landslide 62 00:03:53,400 --> 00:03:56,080 Speaker 2: twice the margin there was between Obama and McCain, where 63 00:03:56,080 --> 00:03:58,120 Speaker 2: everybody knew that Obama was going to carry that election. 64 00:03:58,560 --> 00:04:01,960 Speaker 2: So I began to deconstrut r up these polls and 65 00:04:02,040 --> 00:04:04,400 Speaker 2: go into the state level data where clearly the Trump 66 00:04:04,400 --> 00:04:06,880 Speaker 2: campaign was working with a different set of information or 67 00:04:06,920 --> 00:04:09,000 Speaker 2: they were on their way to a historic defeat, and 68 00:04:09,280 --> 00:04:10,920 Speaker 2: they would have to tell everybody why they were in 69 00:04:10,960 --> 00:04:14,240 Speaker 2: Pennsylvania and Michigan instead of Florida and Georgia and Arizona. 70 00:04:14,760 --> 00:04:18,120 Speaker 2: So I learned a trick from the historian Larry Schweikert 71 00:04:18,279 --> 00:04:23,120 Speaker 2: about analyzing voter registration trends, and Larry understood it, and 72 00:04:23,160 --> 00:04:25,960 Speaker 2: he kept a general rule of thumb that parties that 73 00:04:26,040 --> 00:04:29,839 Speaker 2: gained and registration gain in margin in the next presidential election. 74 00:04:29,920 --> 00:04:31,760 Speaker 2: But I put this to the test. I wrote it out, 75 00:04:31,920 --> 00:04:33,919 Speaker 2: and sure enough, at the state level, if you have 76 00:04:33,920 --> 00:04:36,760 Speaker 2: a large enough sample sized voter registration by party almost 77 00:04:36,880 --> 00:04:40,200 Speaker 2: never misses. We're looking at a likelihood of trending with 78 00:04:40,240 --> 00:04:42,800 Speaker 2: the result of over ninety five percent in most cases, 79 00:04:42,839 --> 00:04:45,240 Speaker 2: and at the state level it's almost one hundred percent. 80 00:04:45,680 --> 00:04:48,000 Speaker 2: So I started to look through that Florida was an 81 00:04:48,000 --> 00:04:50,960 Speaker 2: obvious Trump win in twenty sixteen, North Carolina was an 82 00:04:51,000 --> 00:04:53,640 Speaker 2: obvious Trump win in twenty sixteen, Arizona was going to 83 00:04:53,680 --> 00:04:56,880 Speaker 2: be one. And then when you compared the known changes 84 00:04:56,920 --> 00:05:00,320 Speaker 2: there to the track of Pennsylvania and Michigan, which have 85 00:05:00,440 --> 00:05:03,760 Speaker 2: moved with Florida in every election since nineteen fifty two, 86 00:05:03,880 --> 00:05:06,400 Speaker 2: I was able to discern also based on where Ohio 87 00:05:06,520 --> 00:05:08,600 Speaker 2: looked like it was going, that Pennsylvania and Michigan would 88 00:05:08,600 --> 00:05:10,559 Speaker 2: go to Trump as well. So I knew the twenty 89 00:05:10,560 --> 00:05:14,400 Speaker 2: sixteen election result even when Newsweek had Hillary Clinton on 90 00:05:14,440 --> 00:05:16,960 Speaker 2: the cover of their magazines before the election and all 91 00:05:17,000 --> 00:05:19,039 Speaker 2: the aggregates that she had a ninety eight percent chance 92 00:05:19,040 --> 00:05:21,359 Speaker 2: of winning. And after that, that's when I became a 93 00:05:21,360 --> 00:05:23,800 Speaker 2: real student of following voter registration data. 94 00:05:25,040 --> 00:05:28,920 Speaker 1: Whyfe for Scott involved in looking at your stuff, because, 95 00:05:29,400 --> 00:05:32,240 Speaker 1: as you pointed out when we talked about the twenty 96 00:05:32,279 --> 00:05:36,040 Speaker 1: four election, you were the most accurate person, and you 97 00:05:36,040 --> 00:05:38,840 Speaker 1: weren't doing it based on this week's polling. You were 98 00:05:38,839 --> 00:05:43,239 Speaker 1: doing it on very long term patterns of people marching 99 00:05:43,279 --> 00:05:46,400 Speaker 1: with their feet. What have you seen in the last 100 00:05:46,400 --> 00:05:48,719 Speaker 1: six months, with all the turmoil and all the confusion, 101 00:05:49,200 --> 00:05:51,720 Speaker 1: what do you see about the trends that you had 102 00:05:51,720 --> 00:05:56,839 Speaker 1: indicated right after the election. We're clearly moving towards the Republicans. 103 00:05:57,080 --> 00:05:59,800 Speaker 2: There are still only two states out of the thirty 104 00:06:00,080 --> 00:06:03,400 Speaker 2: that register voters by party that are more favorable for 105 00:06:03,520 --> 00:06:05,880 Speaker 2: Democrats than they were in November of twenty twenty four. 106 00:06:05,920 --> 00:06:08,040 Speaker 2: Those are in New York and one of the reasons 107 00:06:08,040 --> 00:06:10,040 Speaker 2: for New York is because they just had a mayoral 108 00:06:10,080 --> 00:06:12,800 Speaker 2: primary where everyone knew a Democrat would win, so an 109 00:06:12,800 --> 00:06:15,960 Speaker 2: inordinate amount of people registered Democrat. That is starting to 110 00:06:15,960 --> 00:06:19,440 Speaker 2: shift back towards the Republicans. The GOP registration gain in 111 00:06:19,720 --> 00:06:24,400 Speaker 2: February was about fifteen thousand. Net Utah is also slightly 112 00:06:24,520 --> 00:06:26,640 Speaker 2: left of where it was, but that's a product of 113 00:06:26,640 --> 00:06:29,520 Speaker 2: a state like that getting much more dense by population 114 00:06:29,920 --> 00:06:32,760 Speaker 2: and not able to sustain R plus thirty nine registration. 115 00:06:33,279 --> 00:06:35,720 Speaker 2: So all the other states are well more Republican than 116 00:06:35,720 --> 00:06:38,640 Speaker 2: they were in November of twenty four, and Florida has 117 00:06:38,680 --> 00:06:41,920 Speaker 2: a continuous drive towards the GOP often more than ten 118 00:06:41,960 --> 00:06:44,000 Speaker 2: thousand every month. It's very rare to have a gain 119 00:06:44,600 --> 00:06:46,599 Speaker 2: less than ten thousand. What that tells me is the 120 00:06:46,600 --> 00:06:50,240 Speaker 2: transplant settling and other states are overwhelmingly Republican, which I 121 00:06:50,279 --> 00:06:53,200 Speaker 2: can confirm with data from the Idaho Secretary of State 122 00:06:53,240 --> 00:06:56,840 Speaker 2: which tracks the party registration status from people from other states. 123 00:06:57,120 --> 00:06:59,600 Speaker 2: So all the Red staters that are worried about Seattle 124 00:06:59,720 --> 00:07:02,080 Speaker 2: or Los Angeles people moving in, they don't need to 125 00:07:02,080 --> 00:07:05,120 Speaker 2: be worried about it. Seattle, Portland, Los Angeles all have 126 00:07:05,160 --> 00:07:08,279 Speaker 2: heavy Republican leans when they send people to Idaho. So 127 00:07:08,440 --> 00:07:12,360 Speaker 2: Arizona has a similar makeup where you have a large 128 00:07:12,400 --> 00:07:15,920 Speaker 2: Republican gain. Since the election, every county is more Republican 129 00:07:16,000 --> 00:07:18,080 Speaker 2: or less Democrat than it was in November twenty four. 130 00:07:18,520 --> 00:07:21,800 Speaker 2: Right now, Democrats are starting to make some marginal gains 131 00:07:21,840 --> 00:07:24,400 Speaker 2: in Pennsylvania, but I'm not sure if it's tied more 132 00:07:24,440 --> 00:07:27,680 Speaker 2: to the primaries and voters shifting around to jockey for 133 00:07:27,760 --> 00:07:30,920 Speaker 2: position in their mid terms. But the outlook for the 134 00:07:30,960 --> 00:07:33,480 Speaker 2: long term for the Republicans, especially when you combine it 135 00:07:33,520 --> 00:07:36,920 Speaker 2: with the reapportionment in twenty thirty and fixing the census, 136 00:07:37,480 --> 00:07:40,800 Speaker 2: is devastating for Democrats in the law run, especially if 137 00:07:40,840 --> 00:07:44,800 Speaker 2: the Republicans can maintain the Trumpian approach to politics. 138 00:07:45,120 --> 00:07:47,239 Speaker 1: It's very funny. Just as I was getting ready to 139 00:07:47,480 --> 00:07:50,320 Speaker 1: talk with you, an article came out that there's a 140 00:07:50,360 --> 00:07:53,520 Speaker 1: new NBC poll. It shows that the Democratic Party is 141 00:07:53,560 --> 00:07:54,920 Speaker 1: now less popular than ICE. 142 00:07:55,480 --> 00:07:57,920 Speaker 2: I'm surprised they even have a twenty percent approval rating. 143 00:07:58,240 --> 00:08:00,920 Speaker 1: Given how the media covers it, you would think that 144 00:08:00,960 --> 00:08:03,320 Speaker 1: they were on a roll. But given how the American 145 00:08:03,360 --> 00:08:06,080 Speaker 1: people are responding, I think people are sort of getting 146 00:08:06,080 --> 00:08:09,360 Speaker 1: it that they're not very useful. You raise a very 147 00:08:09,840 --> 00:08:13,560 Speaker 1: fundamental question in your new book on the American War 148 00:08:13,600 --> 00:08:17,480 Speaker 1: on Election Corruption, and that is, it doesn't matter how 149 00:08:17,520 --> 00:08:20,000 Speaker 1: I feel as a citizen if my vote is going 150 00:08:20,040 --> 00:08:22,640 Speaker 1: to be stolen and if the election is going to 151 00:08:22,680 --> 00:08:26,440 Speaker 1: be rigged. What led you to the conclusion that we 152 00:08:26,560 --> 00:08:31,560 Speaker 1: have a genuine crisis of dishonesty in our voting process. 153 00:08:32,200 --> 00:08:35,400 Speaker 2: The voter registration by party. The first sign I had 154 00:08:35,440 --> 00:08:37,880 Speaker 2: that something was off in the twenty twenty election was 155 00:08:37,920 --> 00:08:41,360 Speaker 2: all of those registration trends were blown up. If you 156 00:08:41,440 --> 00:08:45,120 Speaker 2: read the book, the chapter called ten points they can't 157 00:08:45,120 --> 00:08:48,360 Speaker 2: answer for. That's when I describe my presentation at the 158 00:08:48,400 --> 00:08:51,520 Speaker 2: Cyber Symposium in twenty twenty one. So I didn't go 159 00:08:51,640 --> 00:08:54,520 Speaker 2: in there to talk about anything related to machines. In fact, 160 00:08:54,559 --> 00:08:57,160 Speaker 2: I am more disposed to talk about the corruption of 161 00:08:57,240 --> 00:09:00,520 Speaker 2: voter registration and mail end voting. But I talked about 162 00:09:00,520 --> 00:09:03,199 Speaker 2: these points, and I mentioned voter registration by party, how 163 00:09:03,200 --> 00:09:07,840 Speaker 2: it favored Trump the Republicans in almost every state. Now 164 00:09:07,880 --> 00:09:10,320 Speaker 2: Arizona was an exception, but I believe what happened in 165 00:09:10,360 --> 00:09:14,160 Speaker 2: Arizona was the corruption of voter registration. Massive Republican gains 166 00:09:14,200 --> 00:09:17,720 Speaker 2: in Florida, huge Republican gains in Pennsylvania. In fact, the 167 00:09:17,840 --> 00:09:21,600 Speaker 2: Republican net registration gains from twenty sixteen to twenty twenty 168 00:09:21,600 --> 00:09:24,760 Speaker 2: in Pennsylvania were a twenty one to one ratio, two 169 00:09:24,840 --> 00:09:27,240 Speaker 2: hundred and forty two thousand net new Republicans in just 170 00:09:27,280 --> 00:09:31,800 Speaker 2: eleven thousand net new Democrats. Yet Joe Biden vanquished Barack 171 00:09:31,800 --> 00:09:34,559 Speaker 2: Obama's previous voting record in the same year Donald Trump 172 00:09:34,559 --> 00:09:37,640 Speaker 2: did the same. The breaking of all the voter registration 173 00:09:37,720 --> 00:09:40,240 Speaker 2: TRENDATA was the first sign for me to look toward 174 00:09:40,240 --> 00:09:43,400 Speaker 2: to dig because normally, if the voter registration indicator fails, 175 00:09:44,080 --> 00:09:48,800 Speaker 2: it's because some strange circumstance happened like Alleghany County, Pennsylvania 176 00:09:48,880 --> 00:09:51,320 Speaker 2: might move a half a point Republican by registration, but 177 00:09:51,360 --> 00:09:53,800 Speaker 2: it's got so many non partisan voters that could slightly 178 00:09:53,800 --> 00:09:56,640 Speaker 2: bump it left, but not by a lot. So looking 179 00:09:56,640 --> 00:09:59,720 Speaker 2: into where the registration indicators failed, which was almost everywhere, 180 00:10:00,120 --> 00:10:02,920 Speaker 2: gave me the foundation for the analysis and the shovel 181 00:10:03,000 --> 00:10:03,720 Speaker 2: to start digging. 182 00:10:04,200 --> 00:10:08,440 Speaker 1: Well, why did that not hold true in twenty. 183 00:10:08,120 --> 00:10:11,000 Speaker 2: Four One thing I'd like to point out for your 184 00:10:11,000 --> 00:10:14,400 Speaker 2: audience is You've given me a new tool on this 185 00:10:14,520 --> 00:10:17,600 Speaker 2: because I don't think elections are stolen. I think they're rigged, 186 00:10:17,920 --> 00:10:20,240 Speaker 2: like you've said, and the rigging is done in the 187 00:10:20,320 --> 00:10:23,319 Speaker 2: laws of the states. So what we had in twenty 188 00:10:23,360 --> 00:10:26,199 Speaker 2: twenty was a shock, almost like somebody flipped a switch 189 00:10:26,240 --> 00:10:29,199 Speaker 2: and changed the results overnight. But what has happened if 190 00:10:29,200 --> 00:10:31,400 Speaker 2: you go back through the book. In twenty fifteen to 191 00:10:31,480 --> 00:10:34,800 Speaker 2: twenty sixteen, states like California and Oregon started moving to 192 00:10:34,840 --> 00:10:39,240 Speaker 2: something called automatic voter registration. Now, automatic voter registration is 193 00:10:39,280 --> 00:10:41,200 Speaker 2: the single biggest sign that a state is going to 194 00:10:41,280 --> 00:10:44,640 Speaker 2: back a Democrat presidential candidate. Joe Biden won eighteen of 195 00:10:44,679 --> 00:10:46,520 Speaker 2: the twenty states that had it in the twenty twenty 196 00:10:46,559 --> 00:10:49,040 Speaker 2: election two hundred and forty three electoral votes to nine. 197 00:10:49,520 --> 00:10:51,920 Speaker 2: And then even though Trump did marginally better in twenty four, 198 00:10:52,559 --> 00:10:57,160 Speaker 2: he flipped back Georgia and Nevada and he won Pennsylvania. 199 00:10:58,120 --> 00:11:01,600 Speaker 2: You have a really big correlation to automatic registration and 200 00:11:01,640 --> 00:11:04,080 Speaker 2: Democrat voting. And then the expansion of mail in ballots 201 00:11:04,120 --> 00:11:08,200 Speaker 2: allows organizers to attach mail in ballot requests to the 202 00:11:08,240 --> 00:11:12,439 Speaker 2: automatic generated registrations. And we have examples of Democrats cheating 203 00:11:12,480 --> 00:11:15,439 Speaker 2: Democrats in New Jersey primaries and Connecticut primaries that even 204 00:11:15,480 --> 00:11:19,760 Speaker 2: Biden's FBI investigated. So that is why I believe that 205 00:11:20,240 --> 00:11:23,320 Speaker 2: in twenty twenty four, the rigging of the election was 206 00:11:23,400 --> 00:11:26,760 Speaker 2: going through the battleground states. Harris only outgained Biden in 207 00:11:26,840 --> 00:11:29,800 Speaker 2: six states out of fifty, and with the exception of 208 00:11:29,880 --> 00:11:35,040 Speaker 2: Maine in Utah, they were battlegrounds. Pennsylvania she almost equaled Biden, Michigan, 209 00:11:35,080 --> 00:11:37,920 Speaker 2: she almost equaled Biden, but in Ohio she had fewer 210 00:11:38,000 --> 00:11:40,400 Speaker 2: votes than John Kerry had even twenty years ago. So 211 00:11:40,480 --> 00:11:42,840 Speaker 2: I believe that it was targeted to avoid having Harris 212 00:11:42,840 --> 00:11:45,200 Speaker 2: sitting at eighty one million votes, which was not a 213 00:11:45,200 --> 00:11:46,680 Speaker 2: believable number for Joe Biden. 214 00:12:01,960 --> 00:12:05,000 Speaker 1: When you look at all this, the twenty four election 215 00:12:06,000 --> 00:12:09,880 Speaker 1: really was significantly different in makeup in the twenty election. 216 00:12:10,760 --> 00:12:16,520 Speaker 1: Somehow they turned out votes for Biden in numbers the 217 00:12:16,559 --> 00:12:19,800 Speaker 1: when you go back and look at them, are simply unbelievable. 218 00:12:20,559 --> 00:12:21,560 Speaker 1: It couldn't have occurred. 219 00:12:22,080 --> 00:12:24,880 Speaker 2: Eighty one million votes for someone who didn't campaign, who 220 00:12:24,920 --> 00:12:28,120 Speaker 2: had all the voter registration statistics going against him. And 221 00:12:28,160 --> 00:12:30,200 Speaker 2: if you boil it down into the precincts like I do, 222 00:12:30,280 --> 00:12:34,080 Speaker 2: you'll find that Biden had no enthusiasm in the historically 223 00:12:34,600 --> 00:12:38,160 Speaker 2: Democrat dominated, heavily black counties on the eastern Seaboard, like 224 00:12:38,200 --> 00:12:42,040 Speaker 2: Baltimore City or Bronx County, which is the number one 225 00:12:42,120 --> 00:12:46,240 Speaker 2: Latino majority county in the northeastern United States. But in Georgia, 226 00:12:46,600 --> 00:12:49,520 Speaker 2: the black county surrounding Metro Atlanta, so Fulton County, at 227 00:12:49,559 --> 00:12:52,839 Speaker 2: the cab County also in Cobbon Gwinnette, Biden's gains were 228 00:12:52,880 --> 00:12:56,120 Speaker 2: as high as forty six percent over Clinton's totals, so 229 00:12:56,320 --> 00:12:59,320 Speaker 2: very selective gains in the key battlegrounds, and when it 230 00:12:59,360 --> 00:13:00,240 Speaker 2: had to happen, the. 231 00:13:00,920 --> 00:13:04,120 Speaker 1: So Biden himself might not have and all that with it. 232 00:13:04,640 --> 00:13:06,640 Speaker 1: But he has some people around him that are obviously 233 00:13:06,760 --> 00:13:07,719 Speaker 1: very very clever. 234 00:13:08,480 --> 00:13:12,120 Speaker 2: Very strong organizational skills, and they also commanded the narratives 235 00:13:12,160 --> 00:13:15,320 Speaker 2: of the twenty twenty election. We have the coronavirus, which 236 00:13:15,360 --> 00:13:18,960 Speaker 2: gave the green light to change the laws on the fly. 237 00:13:19,480 --> 00:13:22,959 Speaker 2: So Ever since we've had the movements automatic registration and 238 00:13:23,040 --> 00:13:25,760 Speaker 2: mail in voting, what's happened is the capacity for a 239 00:13:25,800 --> 00:13:28,720 Speaker 2: new ballot count has spiked. It's like if you followed 240 00:13:28,760 --> 00:13:31,240 Speaker 2: baseball in the nineties, which I'm sure you probably did 241 00:13:31,360 --> 00:13:33,920 Speaker 2: back in those days, but you would have guys that 242 00:13:34,000 --> 00:13:36,280 Speaker 2: would average twenty home runs a year, and all of 243 00:13:36,320 --> 00:13:38,200 Speaker 2: a sudden, for a five year sprint, they'd hit more 244 00:13:38,240 --> 00:13:41,200 Speaker 2: than forty a season. So now, because of a certain input, 245 00:13:41,520 --> 00:13:44,600 Speaker 2: the outputs have changed. The home run counts are different, 246 00:13:44,679 --> 00:13:48,240 Speaker 2: So now the ballot possibilities are much different as well. 247 00:13:48,640 --> 00:13:52,920 Speaker 1: And you cite this universal mail in voting is a 248 00:13:52,960 --> 00:13:57,240 Speaker 1: major problem. This goes back to the question about rigging elections. 249 00:13:57,559 --> 00:14:00,600 Speaker 1: It seems to me the American public is becoming more 250 00:14:00,640 --> 00:14:04,880 Speaker 1: and more offended by that kind of manipulation, and that's 251 00:14:04,920 --> 00:14:08,000 Speaker 1: part of why there's so much strength on behalf of 252 00:14:09,000 --> 00:14:12,360 Speaker 1: some kind of requiring people to prove who they are. 253 00:14:12,920 --> 00:14:16,120 Speaker 1: It's an eighty someething percent issue. But the Democrats, of course, 254 00:14:16,200 --> 00:14:19,200 Speaker 1: are bitterly opposed to it. How do you think that 255 00:14:19,280 --> 00:14:20,160 Speaker 1: works out audibly? 256 00:14:22,120 --> 00:14:25,520 Speaker 2: The male in voting is widely rejected throughout the world. 257 00:14:25,560 --> 00:14:28,600 Speaker 2: Thirty four out of forty seven European countries completely banned 258 00:14:28,600 --> 00:14:30,920 Speaker 2: the practice, and some of the ones that allow it 259 00:14:30,960 --> 00:14:33,560 Speaker 2: only allow it for citizens overseas, where we're only talking 260 00:14:33,560 --> 00:14:36,320 Speaker 2: about thousands of people, not tens of thousands or hundreds 261 00:14:36,320 --> 00:14:38,480 Speaker 2: of thousands of people. You can look at a lot 262 00:14:38,480 --> 00:14:42,040 Speaker 2: of other major countries around the world. Russia, Japan, Mexico, 263 00:14:42,200 --> 00:14:45,200 Speaker 2: Israel all banned mail in voting. Jimmy Carter, on a 264 00:14:45,200 --> 00:14:49,360 Speaker 2: bipartisan commission in two thousand and five, concluded on his 265 00:14:49,440 --> 00:14:52,720 Speaker 2: panel that mail in voting was the most significant vector 266 00:14:52,760 --> 00:14:56,440 Speaker 2: for corrupting elections anywhere possible. So anywhere you look you 267 00:14:56,480 --> 00:14:59,320 Speaker 2: can find people. Even back to the Civil War, McClellan's 268 00:14:59,360 --> 00:15:02,680 Speaker 2: operatives trying to deprive Abraham Lincoln of New York selectoral hosts, 269 00:15:02,680 --> 00:15:05,280 Speaker 2: which wound up coming down to one point that's documented 270 00:15:05,280 --> 00:15:08,280 Speaker 2: in the book doctor John Lott's research about mail in balloting, 271 00:15:08,320 --> 00:15:10,800 Speaker 2: which she was putting out screaming from the rooftops in 272 00:15:10,840 --> 00:15:13,520 Speaker 2: the summer of twenty twenty is also in that book. 273 00:15:13,720 --> 00:15:16,720 Speaker 2: But look, the mail in voting allows for ballots to 274 00:15:16,760 --> 00:15:19,480 Speaker 2: be generated. A ballot is the same as an enthusiastic 275 00:15:19,600 --> 00:15:21,760 Speaker 2: vote as far as what it counts for on the scoreboard. 276 00:15:22,080 --> 00:15:25,200 Speaker 2: And ever since Obama left the scene, the Democrat's main problem. 277 00:15:25,240 --> 00:15:27,480 Speaker 2: They have many of them, but they no longer have 278 00:15:27,680 --> 00:15:32,080 Speaker 2: enthusiastic and reliable turnout from minority men, especially black men. 279 00:15:32,600 --> 00:15:34,760 Speaker 2: And the way to get those in is to change 280 00:15:34,760 --> 00:15:36,560 Speaker 2: the rules to make sure that they can just go 281 00:15:36,680 --> 00:15:40,000 Speaker 2: be passively picked up by harvesters. So the three things 282 00:15:40,000 --> 00:15:43,960 Speaker 2: that Blue states run to automatic voter registration, expanding mail 283 00:15:44,000 --> 00:15:46,240 Speaker 2: in voting. There's eight states with the universal which send 284 00:15:46,280 --> 00:15:49,280 Speaker 2: a mail ballot outs every registration, and then collecting the 285 00:15:49,320 --> 00:15:51,680 Speaker 2: ballots in the urban areas, which we will not be 286 00:15:51,760 --> 00:15:53,760 Speaker 2: able to keep up with. Of course, they have the 287 00:15:53,800 --> 00:15:56,720 Speaker 2: other issue of the white working classes shifted size and 288 00:15:56,760 --> 00:15:59,520 Speaker 2: now the back's Republican candidates. So that's their problem throughout 289 00:15:59,560 --> 00:16:01,400 Speaker 2: the heart of Pennsylvania and Michigan. 290 00:16:02,040 --> 00:16:06,520 Speaker 1: And you see any sense at all that folks in 291 00:16:06,560 --> 00:16:11,280 Speaker 1: the core Mago coalition are likely to be turned off. 292 00:16:11,480 --> 00:16:13,720 Speaker 1: I mean, I worry a lot about whether they'll be 293 00:16:13,760 --> 00:16:17,080 Speaker 1: enough enthusiasm this fall we get them to vote. 294 00:16:17,480 --> 00:16:19,840 Speaker 2: This is why the information war is so important, and 295 00:16:19,880 --> 00:16:22,119 Speaker 2: this is why I think that people that write legitimately 296 00:16:22,160 --> 00:16:25,520 Speaker 2: actionable books do what they do. We do have some 297 00:16:25,920 --> 00:16:28,240 Speaker 2: dissension in the ranks. There's a lot of senior citizen 298 00:16:28,360 --> 00:16:31,160 Speaker 2: voters in Florida and Arizona like their mail in ballots, 299 00:16:31,400 --> 00:16:34,040 Speaker 2: but no workaround for that. Is what Governor DeSantis did 300 00:16:34,160 --> 00:16:37,400 Speaker 2: in twenty twenty two, signing the Senate bill that forced 301 00:16:37,440 --> 00:16:40,920 Speaker 2: tightening restrictions on mail in votes. Nobody is disallowed from 302 00:16:41,000 --> 00:16:43,080 Speaker 2: requesting or sending in a mail in vote. You just 303 00:16:43,120 --> 00:16:45,800 Speaker 2: have to verify your address on a postcard and sign 304 00:16:45,840 --> 00:16:48,280 Speaker 2: a confirm that that's you. It's very hard for a 305 00:16:48,360 --> 00:16:51,840 Speaker 2: fake registration that doesn't exist on a person to request 306 00:16:51,840 --> 00:16:54,800 Speaker 2: a ballot. So Arizona has a bill like that ready, 307 00:16:54,800 --> 00:16:57,320 Speaker 2: but Katie Hopps won't sign it. My wife, Rachel is 308 00:16:57,320 --> 00:17:01,040 Speaker 2: a state representative in Arizona. She sponsored the legislation about 309 00:17:01,040 --> 00:17:03,200 Speaker 2: bringing elections back to the precinct to get it back 310 00:17:03,240 --> 00:17:06,320 Speaker 2: to voting in person. But a lot of this is 311 00:17:06,320 --> 00:17:08,760 Speaker 2: in the save Act about fixing a lot of the 312 00:17:08,800 --> 00:17:11,639 Speaker 2: issues with voter registration, and of course it has some 313 00:17:11,760 --> 00:17:15,960 Speaker 2: id specifications, but the voter registration is important, and I'm 314 00:17:16,000 --> 00:17:18,120 Speaker 2: excited about the Save Act and everyone needs to get 315 00:17:18,160 --> 00:17:21,680 Speaker 2: behind it because it will cut automatic voter registration by 316 00:17:21,720 --> 00:17:25,000 Speaker 2: requiring in person proof of citizenship. It will also cut 317 00:17:25,080 --> 00:17:28,120 Speaker 2: online voter registration. But the existing problem is going back 318 00:17:28,160 --> 00:17:30,240 Speaker 2: and trying to figure out how to deal with non 319 00:17:30,359 --> 00:17:34,600 Speaker 2: maintained voter registration files, especially in states like Georgia. 320 00:17:34,920 --> 00:17:37,119 Speaker 1: Let me go back to where you live. I mean, 321 00:17:37,200 --> 00:17:42,560 Speaker 1: Maricopa County's a huge share of Arizona, and it seems 322 00:17:42,600 --> 00:17:47,080 Speaker 1: to always have some kind of voter problem. Is that 323 00:17:47,160 --> 00:17:51,160 Speaker 1: incompetence or deliberate or what's the actual process by which 324 00:17:51,200 --> 00:17:53,760 Speaker 1: Maracopa Why is there such a problem. 325 00:17:54,520 --> 00:17:58,119 Speaker 2: Arizona and Nevada are essentially mirror images of one another. 326 00:17:58,280 --> 00:18:02,600 Speaker 2: Nevada sits left of Arizona, but Maricopa County plus Pima County, 327 00:18:02,640 --> 00:18:05,680 Speaker 2: which is Metro Tucson in the surrounding area, they add 328 00:18:05,760 --> 00:18:07,800 Speaker 2: up to more than seventy five percent of the vote 329 00:18:08,160 --> 00:18:11,159 Speaker 2: Pima in Americapa counties. If you look at Nevada, Clark 330 00:18:11,200 --> 00:18:13,480 Speaker 2: and Washoe counties are more than eighty eight percent of 331 00:18:13,480 --> 00:18:15,479 Speaker 2: the vote, so seven of every eight votes in Nevada 332 00:18:15,520 --> 00:18:18,520 Speaker 2: come from Clark and Washoe Counties. It's very easy then 333 00:18:18,960 --> 00:18:22,960 Speaker 2: for big margins in those counties to override the margins 334 00:18:22,960 --> 00:18:25,720 Speaker 2: of what Nevada has, which is fifteen surrounding counties and 335 00:18:25,760 --> 00:18:29,480 Speaker 2: Arizona has thirteen surrounding counties. So there is a definite 336 00:18:29,600 --> 00:18:33,600 Speaker 2: play on the part of local officials. You can see 337 00:18:33,600 --> 00:18:35,879 Speaker 2: it the twenty twenty two law suits for Arizona governor 338 00:18:35,880 --> 00:18:39,119 Speaker 2: and the down ticket races. On election day, knowing Republicans 339 00:18:39,119 --> 00:18:41,800 Speaker 2: were going to be overwhelmingly in person three to one ratio, 340 00:18:42,440 --> 00:18:45,720 Speaker 2: voting machines were shutting down in only Republican portions of town, 341 00:18:45,840 --> 00:18:48,040 Speaker 2: lines were four hours long, and people were turned away. 342 00:18:48,520 --> 00:18:51,159 Speaker 2: One of the polsters, Richard Barris, said that if you 343 00:18:51,160 --> 00:18:53,080 Speaker 2: would have had the normal turnout based on not being 344 00:18:53,160 --> 00:18:55,960 Speaker 2: turned away, the statistics would have suggested Kerrie Lake and 345 00:18:56,040 --> 00:18:58,280 Speaker 2: the rest of the Republicans on the ticket would have 346 00:18:58,280 --> 00:19:01,639 Speaker 2: won that race. So it's easy the rig elections without 347 00:19:01,680 --> 00:19:04,879 Speaker 2: necessarily doing anything objectively illegal as far as the ballots 348 00:19:04,880 --> 00:19:08,159 Speaker 2: themselves are contained. So that is definitely going on. Pema 349 00:19:08,240 --> 00:19:10,800 Speaker 2: County is a good example. That is the county I 350 00:19:10,840 --> 00:19:13,359 Speaker 2: live in with my wife, Rachel, and we found in 351 00:19:13,400 --> 00:19:16,200 Speaker 2: the twenty twenty four election one of Rachel's old constituents 352 00:19:16,440 --> 00:19:19,840 Speaker 2: had moved at Texas and went back on Arizona's portal 353 00:19:19,840 --> 00:19:22,360 Speaker 2: because they did not remove her from the registration list 354 00:19:22,440 --> 00:19:25,640 Speaker 2: or the mail list, and contacted my wife and said 355 00:19:25,640 --> 00:19:29,080 Speaker 2: that her ballot on the portal had been requested in return, 356 00:19:29,160 --> 00:19:32,960 Speaker 2: it was awaiting signature verification. So we raised hell about this. 357 00:19:33,080 --> 00:19:36,000 Speaker 2: My wife contacted the recorder of Pema County. She's a 358 00:19:36,080 --> 00:19:39,800 Speaker 2: liberal activist, and of course the office dodged that, said 359 00:19:39,800 --> 00:19:41,520 Speaker 2: that it was an error on the website and that 360 00:19:41,600 --> 00:19:44,240 Speaker 2: the ballot had been destroyed. But this leads me to 361 00:19:44,280 --> 00:19:46,760 Speaker 2: wonder if people are casing a change of address database 362 00:19:46,880 --> 00:19:50,720 Speaker 2: or looking for vacant registrations to land fraudlent mail ballots 363 00:19:50,720 --> 00:19:53,440 Speaker 2: on which is actually what the methodology is in places 364 00:19:53,440 --> 00:19:54,159 Speaker 2: like New Jersey. 365 00:20:09,800 --> 00:20:13,760 Speaker 1: You're clearly one of the leading, if not the leading 366 00:20:13,760 --> 00:20:17,679 Speaker 1: expert in the country on this topic. But this book's 367 00:20:17,680 --> 00:20:20,840 Speaker 1: coming out at a very important time when the country's 368 00:20:20,840 --> 00:20:26,040 Speaker 1: facing some really big decisions. What prompted you to decide 369 00:20:26,119 --> 00:20:28,280 Speaker 1: that right now you had to bring this book out. 370 00:20:29,600 --> 00:20:32,160 Speaker 2: It was Larry Schweikert, again, the guy who first hipped 371 00:20:32,200 --> 00:20:34,879 Speaker 2: me off about voter registration. We did a show on 372 00:20:34,960 --> 00:20:39,600 Speaker 2: election night covering election covers to give an alternative means 373 00:20:39,600 --> 00:20:41,760 Speaker 2: of following along for the public that didn't want to 374 00:20:41,760 --> 00:20:45,480 Speaker 2: watch mainstream coverage. He and I followed along with what 375 00:20:45,640 --> 00:20:48,520 Speaker 2: we both predicted you and I in the months up 376 00:20:48,560 --> 00:20:50,959 Speaker 2: and the election turnout exactly like we knew it what 377 00:20:51,600 --> 00:20:54,760 Speaker 2: And over the coming months we talked about the forecasting models, 378 00:20:54,840 --> 00:20:57,359 Speaker 2: watching voter registration shift stores at GOP and he was 379 00:20:57,400 --> 00:21:00,920 Speaker 2: talking with this publisher Postal Press, Anthony Zaccarti, and mention 380 00:21:01,040 --> 00:21:02,960 Speaker 2: what we've been doing, mentioning that all the states were 381 00:21:03,000 --> 00:21:05,199 Speaker 2: moving a Republican and the guy asked, do you think he, 382 00:21:05,520 --> 00:21:08,240 Speaker 2: meaning me, has a book in him? And up until 383 00:21:08,240 --> 00:21:09,879 Speaker 2: this time, a lot of people have been following my 384 00:21:09,880 --> 00:21:11,960 Speaker 2: newsletter and my workerround the country wondered if I would 385 00:21:11,960 --> 00:21:14,240 Speaker 2: ever write a book, and my answer was that I 386 00:21:14,280 --> 00:21:17,080 Speaker 2: didn't think that the chapter was ready to close yet, 387 00:21:17,119 --> 00:21:19,440 Speaker 2: that it was time to write a book. And when 388 00:21:19,480 --> 00:21:22,000 Speaker 2: that was brought up, I figured that we'd reached a 389 00:21:22,000 --> 00:21:24,480 Speaker 2: point where we could definitely make some lessons learned out 390 00:21:24,520 --> 00:21:27,040 Speaker 2: of the twenty twenty two and twenty four election cycles, 391 00:21:27,280 --> 00:21:30,080 Speaker 2: and that is where the American war on election corruption 392 00:21:30,200 --> 00:21:32,800 Speaker 2: was born. And I think that one of the great 393 00:21:32,800 --> 00:21:36,640 Speaker 2: things about you writing the forward is that it's difficult 394 00:21:36,680 --> 00:21:40,760 Speaker 2: for grassroots types to break in and influence the overall conversation. 395 00:21:41,119 --> 00:21:44,960 Speaker 2: So giving credibility from the mainstream Republican party and getting 396 00:21:45,000 --> 00:21:48,280 Speaker 2: that into the bloodstream there is essential to shaping the conversation. 397 00:21:48,400 --> 00:21:50,679 Speaker 2: That's one thing we learned about Charlie Kirk. A lot 398 00:21:50,720 --> 00:21:53,080 Speaker 2: of people said Charlie wasn't extreme enough on this issue 399 00:21:53,119 --> 00:21:55,719 Speaker 2: or that, but Charlie was able to access the biggest 400 00:21:55,720 --> 00:21:58,560 Speaker 2: portion of the electorate for change, and he knew exactly 401 00:21:58,600 --> 00:22:01,639 Speaker 2: what he was doing. So we can't change the minds 402 00:22:01,640 --> 00:22:05,439 Speaker 2: of the disengaged nominally Republican voter, then we're going to 403 00:22:05,480 --> 00:22:08,800 Speaker 2: have a very hard time advancing these concepts anywhere else. 404 00:22:09,200 --> 00:22:11,760 Speaker 2: And it's simple. We could run fair elections and transparent 405 00:22:11,800 --> 00:22:13,960 Speaker 2: elections if we wanted to, because we ran them forty 406 00:22:14,040 --> 00:22:14,840 Speaker 2: years ago. 407 00:22:15,160 --> 00:22:17,680 Speaker 1: I look at France and if I understand it correctly, 408 00:22:18,200 --> 00:22:22,200 Speaker 1: the French vote in one day and have the result 409 00:22:22,280 --> 00:22:25,399 Speaker 1: by the end of the day. Now, if the French 410 00:22:25,400 --> 00:22:25,800 Speaker 1: can do. 411 00:22:25,760 --> 00:22:29,760 Speaker 2: That, why can't we because our precints are too large 412 00:22:29,840 --> 00:22:32,639 Speaker 2: and people are creating the disease to sell the cure. 413 00:22:33,040 --> 00:22:35,280 Speaker 2: In Arizona, I point this out in the book. There 414 00:22:35,280 --> 00:22:38,679 Speaker 2: are at least seventeen precints in Maricopa County that have 415 00:22:38,760 --> 00:22:41,600 Speaker 2: more than five thousand registered voters in the precinct. So 416 00:22:41,720 --> 00:22:44,280 Speaker 2: with precincts that big, especially if you go to places 417 00:22:44,320 --> 00:22:47,000 Speaker 2: like Atlanta, then the press is going to cry about 418 00:22:47,080 --> 00:22:49,320 Speaker 2: voter suppression if you try to push people to vote 419 00:22:49,359 --> 00:22:51,720 Speaker 2: in person and limit access to mail in voting and 420 00:22:51,800 --> 00:22:54,200 Speaker 2: early voting. I tend to believe that early voting is 421 00:22:54,280 --> 00:22:56,959 Speaker 2: less about access as it is that provides a window 422 00:22:57,040 --> 00:22:59,800 Speaker 2: to collect the mail in ballots. I did an exercise 423 00:22:59,800 --> 00:23:02,679 Speaker 2: one time with Orange County, California, and I think I 424 00:23:02,760 --> 00:23:05,600 Speaker 2: determined that for about three hundred thousand dollars you can 425 00:23:05,800 --> 00:23:09,879 Speaker 2: hire enough ballot collectors to produce another one hundred thousand 426 00:23:09,960 --> 00:23:12,040 Speaker 2: more in the count which, by the way, Harris lagged 427 00:23:12,080 --> 00:23:14,520 Speaker 2: Joe Biden in Orange County by one hundred thousand votes. 428 00:23:14,960 --> 00:23:17,520 Speaker 2: Kamala Harris managed to lag Joe Biden by one point 429 00:23:17,560 --> 00:23:20,000 Speaker 2: eight million votes in her own home state when everyone 430 00:23:20,080 --> 00:23:22,399 Speaker 2: knows that a presidential candidate has an advantage in his 431 00:23:22,520 --> 00:23:25,040 Speaker 2: or her own home state. So that's why my belief 432 00:23:25,040 --> 00:23:29,240 Speaker 2: in the twenty twenty four election is that New York, Texas, Florida, California, Illinois, 433 00:23:29,240 --> 00:23:32,040 Speaker 2: these big states with big red or blue margins were 434 00:23:32,119 --> 00:23:34,040 Speaker 2: left to run as they normally would run, and the 435 00:23:34,080 --> 00:23:37,000 Speaker 2: results were astounding. Of course, Trump ran up his scores 436 00:23:37,040 --> 00:23:39,960 Speaker 2: in Texas and Florida. Texas was the biggest surprise to 437 00:23:40,000 --> 00:23:41,960 Speaker 2: me as far as a red state goes. I figured 438 00:23:41,960 --> 00:23:43,600 Speaker 2: Trump would win it by eight points. He won it 439 00:23:43,600 --> 00:23:46,880 Speaker 2: by fourteen. That's the big Latino shift. But you can 440 00:23:46,920 --> 00:23:50,480 Speaker 2: look at the precinct problem, Rachel, my wife has run 441 00:23:50,680 --> 00:23:54,240 Speaker 2: legislation trying to get precincts reduced in size so you 442 00:23:54,280 --> 00:23:56,840 Speaker 2: don't have these five thousand registered voter precints. Trying to 443 00:23:56,840 --> 00:23:59,280 Speaker 2: get it down below twenty five hundred. That's the first 444 00:23:59,320 --> 00:24:02,000 Speaker 2: step to providing elections in which people can vote in 445 00:24:02,000 --> 00:24:05,080 Speaker 2: person and not have long lines wrapping around the corner, 446 00:24:05,119 --> 00:24:07,520 Speaker 2: wrap it around the firehouse. But until we can get 447 00:24:07,520 --> 00:24:11,639 Speaker 2: elections into a smaller subsection like that, we won't be 448 00:24:11,720 --> 00:24:14,040 Speaker 2: like France, because France breaks it down enough where you 449 00:24:14,080 --> 00:24:16,960 Speaker 2: can vote in person. People can tabulate the ballots at 450 00:24:16,960 --> 00:24:19,840 Speaker 2: the preseast and then report up like it's supposed to happen. Now, 451 00:24:19,840 --> 00:24:22,639 Speaker 2: we have a big backlog at the central count Urban 452 00:24:22,680 --> 00:24:25,640 Speaker 2: areas report late, which is I think a bit convenient 453 00:24:25,640 --> 00:24:28,840 Speaker 2: for them. I'm not sure how Pennsylvania would react if 454 00:24:29,040 --> 00:24:32,879 Speaker 2: sixty five counties waited for Philadelphia and Pittsburgh to report 455 00:24:32,880 --> 00:24:36,200 Speaker 2: and then came in with consistently pro Republican margins every election. 456 00:24:36,520 --> 00:24:37,920 Speaker 1: That is how they used to do it. 457 00:24:38,480 --> 00:24:40,280 Speaker 2: I think that we should have laws on the books 458 00:24:40,280 --> 00:24:42,920 Speaker 2: that require the ten percent of largest counties to report 459 00:24:42,960 --> 00:24:43,680 Speaker 2: their votes first. 460 00:24:44,200 --> 00:24:47,920 Speaker 1: In the old days, like in New York and Roosevelt 461 00:24:47,960 --> 00:24:49,760 Speaker 1: was running for governor I think it was in thirty 462 00:24:50,600 --> 00:24:55,399 Speaker 1: and upstate New York was very Republican and tended to 463 00:24:55,520 --> 00:25:00,159 Speaker 1: vote suspiciously strongly, and he talked to the boss of 464 00:25:00,200 --> 00:25:03,240 Speaker 1: Brooklyn who said to him, it was going to be 465 00:25:03,320 --> 00:25:06,960 Speaker 1: a very long count, and I guarantee you there'll be 466 00:25:07,080 --> 00:25:11,720 Speaker 1: enough precincts out when Buffalo finishes that you will be governor. 467 00:25:12,320 --> 00:25:15,240 Speaker 1: Both sides were stealing like crazy, and the question was 468 00:25:15,440 --> 00:25:18,320 Speaker 1: who had the nerve to steal last. It was a 469 00:25:18,359 --> 00:25:19,080 Speaker 1: different world. 470 00:25:19,600 --> 00:25:22,120 Speaker 2: You had the haze Untilden race of eighteen seventy six. 471 00:25:22,240 --> 00:25:24,480 Speaker 2: The same thing was going on. People were pushing the 472 00:25:24,520 --> 00:25:26,919 Speaker 2: other party's voters out. People were stealing votes and doing 473 00:25:26,960 --> 00:25:29,680 Speaker 2: everything they could. And one personal point of interest for 474 00:25:29,800 --> 00:25:32,199 Speaker 2: me was when I was researching the book, I had 475 00:25:32,240 --> 00:25:35,080 Speaker 2: to recount what I remembered from Afghanistan at twenty ten. 476 00:25:35,520 --> 00:25:37,440 Speaker 2: The elections that were held in twenty ten, which is 477 00:25:37,440 --> 00:25:39,359 Speaker 2: a year I was serving over there, they were a 478 00:25:39,400 --> 00:25:42,840 Speaker 2: complete disaster. More than a quarter of the ballots were invalid, 479 00:25:42,920 --> 00:25:44,880 Speaker 2: thrown out. They were finding ballots all over the place. 480 00:25:44,920 --> 00:25:47,879 Speaker 2: People were buying off votes. There were certain places in 481 00:25:47,920 --> 00:25:50,720 Speaker 2: the country where the elections weren't even certifiable, but we 482 00:25:50,800 --> 00:25:52,720 Speaker 2: put a stamp of approval on it and moved on, 483 00:25:53,280 --> 00:25:56,760 Speaker 2: And that was my first experience with corrupted elections. To me, 484 00:25:56,840 --> 00:25:59,040 Speaker 2: it's not so much about who wins the election. It's 485 00:25:59,080 --> 00:26:01,320 Speaker 2: about the public comp fidence in the process, because if 486 00:26:01,320 --> 00:26:03,399 Speaker 2: we don't have it, then we don't have the consent 487 00:26:03,400 --> 00:26:05,840 Speaker 2: of the government. We don't have the constitutional republic. But 488 00:26:06,400 --> 00:26:08,920 Speaker 2: the loss of Trump as president spurred a lot of 489 00:26:08,960 --> 00:26:11,640 Speaker 2: people that care about our elections. There is a risk 490 00:26:11,720 --> 00:26:14,080 Speaker 2: for people that are interested in election integrity that now 491 00:26:14,080 --> 00:26:16,800 Speaker 2: that he's back in the presidency that maybe this was 492 00:26:16,880 --> 00:26:19,840 Speaker 2: just a bad dream. It's not. Our elections are fundamentally 493 00:26:19,840 --> 00:26:22,040 Speaker 2: different from where they were even ten years ago. 494 00:26:22,760 --> 00:26:25,000 Speaker 1: Does seem to me that in our two hundred and 495 00:26:25,000 --> 00:26:29,120 Speaker 1: fiftieth anniversary of signing the decoration is a pretty good 496 00:26:29,119 --> 00:26:33,520 Speaker 1: time to re establish the integrity of the system, because 497 00:26:33,680 --> 00:26:38,800 Speaker 1: we believe that every single person has equal right under 498 00:26:38,800 --> 00:26:42,600 Speaker 1: the law in a way that's really quite different from 499 00:26:42,640 --> 00:26:46,520 Speaker 1: a lot of other countries. But if in fact, you 500 00:26:46,560 --> 00:26:50,639 Speaker 1: can't have your ballot honestly counted and you are simply 501 00:26:50,720 --> 00:26:53,560 Speaker 1: drowned by a series of false votes, then you have 502 00:26:53,760 --> 00:26:58,600 Speaker 1: broken the core social contract that made America unique. 503 00:26:59,480 --> 00:27:02,119 Speaker 2: The elections is to make sure that we can resolve 504 00:27:02,119 --> 00:27:06,120 Speaker 2: these differences peacefully. Before voting became a thing, people had 505 00:27:06,280 --> 00:27:09,320 Speaker 2: far different means of obtaining power. It wasn't really good 506 00:27:09,320 --> 00:27:11,919 Speaker 2: for the world. If we don't have that ability to 507 00:27:11,960 --> 00:27:14,760 Speaker 2: address our grievances peacefully, you're going to have a corruption 508 00:27:15,160 --> 00:27:17,040 Speaker 2: of where society should be. It's not going to be 509 00:27:17,040 --> 00:27:19,080 Speaker 2: a good place to live. And we can see that 510 00:27:19,200 --> 00:27:21,840 Speaker 2: in places around the world that have broken government and 511 00:27:21,880 --> 00:27:23,879 Speaker 2: broken election systems, and we can even see it here 512 00:27:23,880 --> 00:27:25,720 Speaker 2: at home, where certain people have given up on the 513 00:27:25,800 --> 00:27:28,159 Speaker 2: chance to reform states and they move in mass to 514 00:27:28,240 --> 00:27:31,400 Speaker 2: states that they perceive to be more open to self government. 515 00:27:32,080 --> 00:27:35,560 Speaker 1: You wrote a very important book, the American War and 516 00:27:35,640 --> 00:27:39,080 Speaker 1: Election Corruption, the Crusade to restore trust in voting. But 517 00:27:39,560 --> 00:27:42,199 Speaker 1: in addition to that, what you do every day you 518 00:27:42,400 --> 00:27:47,000 Speaker 1: stay in touch with newsletters and you have live appearances. 519 00:27:47,280 --> 00:27:49,080 Speaker 1: Talk just a minute about it. If people want to 520 00:27:49,119 --> 00:27:52,119 Speaker 1: stay in touch with you and track as we go 521 00:27:52,200 --> 00:27:55,480 Speaker 1: through not just this year but twenty twenty eight, what 522 00:27:55,520 --> 00:27:57,919 Speaker 1: are the best ways for them to be able to 523 00:27:57,920 --> 00:28:00,400 Speaker 1: follow your work letter. 524 00:28:00,520 --> 00:28:04,360 Speaker 2: Captain K's Corner is a bestseller on the substack platform, 525 00:28:04,440 --> 00:28:07,120 Speaker 2: which is a unique social media. It's not really social media, 526 00:28:07,119 --> 00:28:09,840 Speaker 2: but it's a unique platform in that it attracts a 527 00:28:09,880 --> 00:28:14,440 Speaker 2: certain type of reader that enjoys deep reads, deep analysis 528 00:28:14,480 --> 00:28:16,760 Speaker 2: more so than the pithy insults that you find on 529 00:28:16,840 --> 00:28:19,480 Speaker 2: places like actually the quote retweets and trying to dunk 530 00:28:19,520 --> 00:28:23,439 Speaker 2: on people. And Captain k dot Us is the url 531 00:28:23,480 --> 00:28:25,840 Speaker 2: for that, and that is a thirty four thousand plus 532 00:28:25,880 --> 00:28:29,240 Speaker 2: mailing list and a large paid subscriber base. It's got 533 00:28:29,320 --> 00:28:31,840 Speaker 2: significant analysis for all the events that are going on 534 00:28:31,880 --> 00:28:34,560 Speaker 2: in the world, and I usually extend that to anything 535 00:28:34,640 --> 00:28:38,000 Speaker 2: to do with the current state of politics or election analysis. 536 00:28:38,120 --> 00:28:40,760 Speaker 2: Around election time, I make predictions and forecasts and put 537 00:28:40,760 --> 00:28:44,000 Speaker 2: my work out there, and any sort of geopolitical events, 538 00:28:44,120 --> 00:28:47,000 Speaker 2: especially those of a military nature, I like to analyze 539 00:28:47,000 --> 00:28:49,680 Speaker 2: those as well. I think my perspective is an intelligence 540 00:28:49,680 --> 00:28:52,240 Speaker 2: officer allows me to see the playing field a little 541 00:28:52,280 --> 00:28:55,600 Speaker 2: bit differently, and obviously that's helped me understand the conflict 542 00:28:55,600 --> 00:28:57,160 Speaker 2: in Iran right now in a way that a lot 543 00:28:57,200 --> 00:28:59,720 Speaker 2: of people online are frustrated about they don't understand. 544 00:29:00,000 --> 00:29:02,080 Speaker 1: I do think you have a unique background in that sense, 545 00:29:02,520 --> 00:29:06,240 Speaker 1: and I do want to encourage everyone to both read 546 00:29:06,240 --> 00:29:08,600 Speaker 1: the book and share with your friends, but also pay 547 00:29:08,600 --> 00:29:11,760 Speaker 1: attention to what Seth does on a regular basis, because 548 00:29:11,760 --> 00:29:15,200 Speaker 1: you'll find both going into this fall and then going 549 00:29:15,200 --> 00:29:17,440 Speaker 1: into the twenty eight election, that you'll us know a 550 00:29:17,440 --> 00:29:19,280 Speaker 1: heck of a lot more than your friends and neighbors 551 00:29:19,600 --> 00:29:22,120 Speaker 1: if you actually keep up with the work that Seth 552 00:29:22,240 --> 00:29:25,800 Speaker 1: is doing. I want to congratulate you. Your book is off 553 00:29:25,800 --> 00:29:28,640 Speaker 1: to a great start. It's not a topic you would 554 00:29:28,640 --> 00:29:32,720 Speaker 1: automatically think of as a bestseller, but it is a bestseller, 555 00:29:33,040 --> 00:29:36,280 Speaker 1: and I think if the President actually in his effort 556 00:29:36,280 --> 00:29:38,640 Speaker 1: to pass the Save Act, he ought to share your 557 00:29:38,680 --> 00:29:41,240 Speaker 1: book with every member of the House and Senate in 558 00:29:41,320 --> 00:29:43,960 Speaker 1: both parties. I want to thank you for joining me 559 00:29:44,680 --> 00:29:47,920 Speaker 1: and your new book, The American War and Election Corruption. 560 00:29:48,480 --> 00:29:52,360 Speaker 1: The Crusade to Restore Trust in Voting is available now 561 00:29:52,600 --> 00:29:56,400 Speaker 1: on Amazon and in bookstores everywhere, and our listeners can 562 00:29:56,440 --> 00:29:59,920 Speaker 1: follow the work you're doing by joining you on substat 563 00:30:00,120 --> 00:30:01,360 Speaker 1: Captain Ky's corner. 564 00:30:01,680 --> 00:30:04,120 Speaker 2: I am thankful for your leadership for many years that 565 00:30:04,160 --> 00:30:07,320 Speaker 2: you've provided. I appreciate the help that you've given me 566 00:30:07,320 --> 00:30:09,160 Speaker 2: to boost this book and with the forward. People have 567 00:30:09,240 --> 00:30:12,680 Speaker 2: loved listening to the forward and the overarching viewpoint that 568 00:30:12,720 --> 00:30:15,120 Speaker 2: you present, and I agree with you. I would love 569 00:30:15,160 --> 00:30:16,800 Speaker 2: for the President to get his hands on this book 570 00:30:17,040 --> 00:30:18,840 Speaker 2: and push it out there, not for my sake, but 571 00:30:18,880 --> 00:30:21,480 Speaker 2: for the sake of pushing this discussion into the mainstream. 572 00:30:21,520 --> 00:30:24,040 Speaker 2: Because I didn't take a lot of logical leaps on 573 00:30:24,080 --> 00:30:26,760 Speaker 2: the book. Everything as well researched, everything is sourced, and 574 00:30:26,800 --> 00:30:28,800 Speaker 2: a lot of my more I guess you could say 575 00:30:28,800 --> 00:30:31,320 Speaker 2: extreme opinions of what I think is going on aren't 576 00:30:31,320 --> 00:30:33,080 Speaker 2: in the book. This is something you should be able 577 00:30:33,120 --> 00:30:36,120 Speaker 2: to give to anybody and make that conversation. So thank 578 00:30:36,160 --> 00:30:37,280 Speaker 2: you again for having me on. 579 00:30:42,360 --> 00:30:45,320 Speaker 1: Thank you to my guest, Seth Keshel. Newsworld is produced 580 00:30:45,360 --> 00:30:48,880 Speaker 1: by Gangler, Sweet sixty and iHeartMedia. Our executive producer is 581 00:30:48,920 --> 00:30:52,840 Speaker 1: Gorzie Sloan. Our researcher is Rachel Peterson. The artwork for 582 00:30:52,880 --> 00:30:56,840 Speaker 1: the show was created by Steve Penley. Special thanks to 583 00:30:56,880 --> 00:30:59,760 Speaker 1: the team at Ginglish three sixty. If you've an enjoying newtrald, 584 00:31:00,080 --> 00:31:02,920 Speaker 1: I hope you'll go to Apple podcast and both rate 585 00:31:03,000 --> 00:31:05,800 Speaker 1: us with five stars and give us a review so 586 00:31:05,880 --> 00:31:08,520 Speaker 1: others can learn what it's all about. Join me on 587 00:31:08,600 --> 00:31:12,360 Speaker 1: substack at Ginglish through sixty Done net. I'm newt gingrichh 588 00:31:12,680 --> 00:31:13,680 Speaker 1: this is Newtorld.