1 00:00:03,480 --> 00:00:07,560 Speaker 1: Welcome to the Bloomberg Law Podcast. I'm June Grosso. Every 2 00:00:07,640 --> 00:00:10,440 Speaker 1: day we bring you insight and analysis into the most 3 00:00:10,480 --> 00:00:13,399 Speaker 1: important legal news of the day. You can find more 4 00:00:13,480 --> 00:00:18,040 Speaker 1: episodes of the Bloomberg Law Podcast on Apple Podcasts, SoundCloud, 5 00:00:18,320 --> 00:00:22,759 Speaker 1: and on Bloomberg dot com slash podcasts. North Carolina's ninth 6 00:00:22,800 --> 00:00:26,720 Speaker 1: congressional district is the last undecided House contest in the country. 7 00:00:27,000 --> 00:00:29,880 Speaker 1: The state Elections Board has refused to certify the results 8 00:00:29,880 --> 00:00:33,760 Speaker 1: of Republican Mark Harris's slim win while it investigates allegations 9 00:00:33,760 --> 00:00:37,400 Speaker 1: of election fraud. Republican State Senator Tommy Tucker says this 10 00:00:37,479 --> 00:00:39,720 Speaker 1: isn't the first time something like this has happened in 11 00:00:39,760 --> 00:00:44,879 Speaker 1: North Carolina. The Blatant County has had a long history 12 00:00:45,040 --> 00:00:50,120 Speaker 1: of absentee ballot fraud, even in both parties. So we 13 00:00:50,200 --> 00:00:53,560 Speaker 1: are being once again embarrassed in this state that our 14 00:00:53,600 --> 00:00:57,160 Speaker 1: elections don't count. Joining me is one of the foremost 15 00:00:57,200 --> 00:01:00,360 Speaker 1: election law experts in the country, Rick Hassan. He's professor 16 00:01:00,360 --> 00:01:03,080 Speaker 1: at the University of California Irvine School of Law and 17 00:01:03,200 --> 00:01:06,720 Speaker 1: founder of the Election Law blog. So Rick explain what 18 00:01:06,880 --> 00:01:11,280 Speaker 1: the allegations of election fraud are here. Well, they seem 19 00:01:11,360 --> 00:01:16,160 Speaker 1: to involve absentee ballots UH in at least one county 20 00:01:16,200 --> 00:01:20,440 Speaker 1: Blatant County, and maybe in more counties than that, and 21 00:01:20,480 --> 00:01:23,280 Speaker 1: they seem to involve two kinds of activities. One is 22 00:01:24,280 --> 00:01:27,800 Speaker 1: collecting absentee ballots from people who may or may not 23 00:01:27,920 --> 00:01:31,160 Speaker 1: have requested themselves, but for whom there was a request, 24 00:01:31,520 --> 00:01:34,640 Speaker 1: and then filling those out if they were blank for 25 00:01:35,800 --> 00:01:39,959 Speaker 1: the candidate Mark Harris, who has declared the winner of 26 00:01:39,959 --> 00:01:42,760 Speaker 1: the election. And the other is that they were collected 27 00:01:42,840 --> 00:01:46,120 Speaker 1: from some people and potentially destroyed if they were marked 28 00:01:46,280 --> 00:01:50,920 Speaker 1: for UH McCready, the candidate on the other side. And 29 00:01:50,960 --> 00:01:54,280 Speaker 1: while there's about a nine vote difference between the two 30 00:01:54,320 --> 00:01:59,520 Speaker 1: candidates UH, it is possible that there was enough activity 31 00:01:59,640 --> 00:02:04,080 Speaker 1: UH related to UM either filling in ballots or destroying 32 00:02:04,080 --> 00:02:06,240 Speaker 1: ballots that it could have changed the outcome of the election. 33 00:02:06,280 --> 00:02:09,520 Speaker 1: And this is now under investigation by the state Board 34 00:02:09,520 --> 00:02:12,240 Speaker 1: of Elections as well as it appears by state and 35 00:02:12,280 --> 00:02:15,680 Speaker 1: federal law enforcement officials. This is not the kind of 36 00:02:15,720 --> 00:02:19,400 Speaker 1: election fraud that Republicans across the country have used to 37 00:02:19,560 --> 00:02:25,919 Speaker 1: justify ballot restrictions in recent years. Explain the difference well, so, 38 00:02:26,240 --> 00:02:31,800 Speaker 1: the most common kind of election restriction that we've seen 39 00:02:32,040 --> 00:02:35,400 Speaker 1: put in place in recent years are voter identification laws. 40 00:02:35,840 --> 00:02:38,400 Speaker 1: These are laws that would require you to show a 41 00:02:38,440 --> 00:02:40,720 Speaker 1: certain kind of i D A photo i D like 42 00:02:40,760 --> 00:02:43,680 Speaker 1: a driver's license or passport before you're allowed to vote. 43 00:02:44,400 --> 00:02:50,079 Speaker 1: That kind of requirement would prevent impersonation fraud, where one 44 00:02:50,160 --> 00:02:52,600 Speaker 1: person goes to the polling place and pretends to be 45 00:02:52,680 --> 00:02:55,960 Speaker 1: someone else. That kind of fraud is not really a 46 00:02:56,040 --> 00:02:59,000 Speaker 1: kind of fraud that we see on any kind of 47 00:02:59,000 --> 00:03:02,640 Speaker 1: scale as a way stealing elections. While fraud related to 48 00:03:02,680 --> 00:03:06,600 Speaker 1: absentee ballots, while a small problem, it has been documented 49 00:03:06,639 --> 00:03:09,280 Speaker 1: as a problem this Blatant County is certainly not the 50 00:03:09,320 --> 00:03:12,400 Speaker 1: first instance where we've seen this. Having a voter ideal 51 00:03:12,480 --> 00:03:15,720 Speaker 1: in place doesn't stop someone from collecting absentee ballots, filling 52 00:03:15,760 --> 00:03:18,120 Speaker 1: them out. Destroying absente ballots really has nothing to do 53 00:03:18,200 --> 00:03:21,519 Speaker 1: with it. And so while the many of the laws 54 00:03:21,520 --> 00:03:23,359 Speaker 1: are aimed at stop in one kind of fraud, a 55 00:03:23,400 --> 00:03:26,639 Speaker 1: kind of fraud that doesn't happen uh, the laws are 56 00:03:26,639 --> 00:03:29,920 Speaker 1: not really aimed at stopping this other kind of fraud, 57 00:03:30,120 --> 00:03:32,320 Speaker 1: And so it makes you wonder whether these laws are 58 00:03:32,360 --> 00:03:35,640 Speaker 1: actually being passed to prevent fraud as is claimed, or 59 00:03:35,680 --> 00:03:38,360 Speaker 1: maybe they're being passed to suppress the vote of those 60 00:03:38,400 --> 00:03:41,960 Speaker 1: who are least likely to have a kind of voter identification. 61 00:03:42,560 --> 00:03:46,040 Speaker 1: In the Shelby County case, the Supreme Court gutted the 62 00:03:46,120 --> 00:03:50,760 Speaker 1: landmark Voting Rights Act. Does this situation show that that 63 00:03:50,880 --> 00:03:54,280 Speaker 1: was done too quickly and that that this situation might 64 00:03:54,320 --> 00:03:56,640 Speaker 1: have been prevented if it had still been in place. 65 00:03:58,160 --> 00:04:01,720 Speaker 1: While I do think that the Court is wrong in 66 00:04:01,960 --> 00:04:04,800 Speaker 1: gutting the part of the Voting Rights Act that required 67 00:04:05,760 --> 00:04:08,880 Speaker 1: that jurisdictions with the history of race discrimination and voting 68 00:04:08,920 --> 00:04:11,920 Speaker 1: get approval or preclearance before they made changes in their 69 00:04:11,960 --> 00:04:15,880 Speaker 1: voting rules, I don't believe that this kind of wholesale 70 00:04:15,920 --> 00:04:20,719 Speaker 1: fraud being conducted with absentee ballots would have been affected 71 00:04:20,800 --> 00:04:24,560 Speaker 1: by um the Shelby County case. I mean, really, this 72 00:04:24,560 --> 00:04:28,919 Speaker 1: this is not a situation where something that was would 73 00:04:28,920 --> 00:04:31,200 Speaker 1: not have been precleared, like say a voter I D law, 74 00:04:31,279 --> 00:04:34,039 Speaker 1: strict voter ID law that my disenfranchised minority voters would 75 00:04:34,080 --> 00:04:37,000 Speaker 1: now be able to go into effect. So, while there 76 00:04:37,000 --> 00:04:40,120 Speaker 1: are many things to say against the Shelby County decision, 77 00:04:40,120 --> 00:04:42,000 Speaker 1: I don't think this is affected one way or the 78 00:04:42,040 --> 00:04:45,840 Speaker 1: other by that what would have prevented this sure, So 79 00:04:46,080 --> 00:04:50,400 Speaker 1: the states have different rules for um making sure that 80 00:04:50,480 --> 00:04:53,599 Speaker 1: absentee ballots are handled properly. One of the big controversies 81 00:04:53,720 --> 00:04:58,159 Speaker 1: is over whether someone can collect the ballots of someone 82 00:04:58,200 --> 00:05:01,919 Speaker 1: else who's a non relative. This is known somewhat pejoratively 83 00:05:02,000 --> 00:05:05,920 Speaker 1: as ballot harvesting, and the concern is that you might 84 00:05:05,960 --> 00:05:09,840 Speaker 1: have people collecting ballots and doing things bad things with them, 85 00:05:09,839 --> 00:05:13,279 Speaker 1: as as has been alleged in this election. UH. There 86 00:05:13,279 --> 00:05:15,800 Speaker 1: are safeguards that can be put in place to prevent that. 87 00:05:16,279 --> 00:05:18,279 Speaker 1: So one of the things is that when these ballots 88 00:05:18,279 --> 00:05:21,400 Speaker 1: are collected in North Carolina, they have to be witnessed, 89 00:05:22,120 --> 00:05:24,160 Speaker 1: so two people have to sign or there has to 90 00:05:24,200 --> 00:05:28,599 Speaker 1: be a signature under penalty of perjury with affidavit um. 91 00:05:28,760 --> 00:05:30,480 Speaker 1: And so one of the things that's going on in 92 00:05:30,480 --> 00:05:34,000 Speaker 1: this investigation is that they are looking at the patterns 93 00:05:34,040 --> 00:05:38,279 Speaker 1: of the people who have signed these UH as witnesses 94 00:05:38,360 --> 00:05:43,400 Speaker 1: signed these ballot um applications at ballot applications, and when 95 00:05:43,440 --> 00:05:48,520 Speaker 1: you're seeing one person signing thirty fifty of these applications, 96 00:05:48,560 --> 00:05:51,520 Speaker 1: you can kind of see if there's a pattern there, see, 97 00:05:51,600 --> 00:05:54,120 Speaker 1: you know, what, what was it? And one of the 98 00:05:54,200 --> 00:05:57,320 Speaker 1: things that we've seen is that you see some of 99 00:05:57,360 --> 00:06:00,719 Speaker 1: these people who collected dozens of ballot those people have 100 00:06:00,760 --> 00:06:03,479 Speaker 1: now been interviewed. There was a story in BuzzFeed that 101 00:06:04,360 --> 00:06:07,440 Speaker 1: that some of them were, uh, we're being paid to 102 00:06:07,680 --> 00:06:10,440 Speaker 1: bring the ballots and not deliver them to election officials, 103 00:06:10,480 --> 00:06:12,920 Speaker 1: but to bring them back to a consultant's office. The 104 00:06:13,080 --> 00:06:17,960 Speaker 1: reports that this involved um this being done potentially in 105 00:06:18,000 --> 00:06:21,400 Speaker 1: exchange for drugs, and so there's all kinds of nefarious 106 00:06:21,400 --> 00:06:23,800 Speaker 1: allegations here. The fact that you can look at the 107 00:06:23,800 --> 00:06:27,360 Speaker 1: signatures and see the patterns is one way of knowing this, 108 00:06:27,600 --> 00:06:29,320 Speaker 1: and another way of knowing this is looking at the 109 00:06:29,360 --> 00:06:33,440 Speaker 1: patterns of absentee ballots that have been requested and those 110 00:06:33,480 --> 00:06:35,279 Speaker 1: that have been returned. And it looks like a lot 111 00:06:35,360 --> 00:06:39,640 Speaker 1: of ballots that were requested, many more were requested in 112 00:06:39,839 --> 00:06:43,080 Speaker 1: this county compared to other counties, and many fewer democratic 113 00:06:43,120 --> 00:06:46,479 Speaker 1: ballots were returned in this county compared to other counties, 114 00:06:46,960 --> 00:06:48,760 Speaker 1: which suggests that you can kind of look at the 115 00:06:48,839 --> 00:06:51,719 Speaker 1: data and look for patterns. And I think the the 116 00:06:51,760 --> 00:06:54,560 Speaker 1: overall lesson here is that when you have safeguards in place, 117 00:06:54,920 --> 00:06:57,080 Speaker 1: it doesn't mean that the elections are always going to 118 00:06:57,120 --> 00:07:00,440 Speaker 1: be perfect, but it means that there's enough uh evidence 119 00:07:00,480 --> 00:07:02,240 Speaker 1: there data there that you could look at to try 120 00:07:02,279 --> 00:07:06,480 Speaker 1: to figure out when there is a problem and then investigate. 121 00:07:06,480 --> 00:07:08,719 Speaker 1: Which is so I think this show is actually the 122 00:07:08,760 --> 00:07:12,080 Speaker 1: system is working, not that it's not working. Just for 123 00:07:12,120 --> 00:07:14,760 Speaker 1: a moment, let's go to Georgia and tell us a 124 00:07:14,800 --> 00:07:18,560 Speaker 1: little bit about the federal lawsuit there between Democrats Stacy 125 00:07:18,680 --> 00:07:22,679 Speaker 1: Abrams and Secretary State Brian Kemp and what the issue 126 00:07:22,720 --> 00:07:26,040 Speaker 1: is there with about a minute, sure, so Kemp's now 127 00:07:26,040 --> 00:07:28,560 Speaker 1: out of office. This is a suit against his successor, 128 00:07:28,600 --> 00:07:30,760 Speaker 1: and it's claiming that a whole host of problems and 129 00:07:30,800 --> 00:07:34,080 Speaker 1: how the elections have been run, from voter purges to 130 00:07:34,120 --> 00:07:39,320 Speaker 1: how the voting machinery works to the handling of things 131 00:07:39,360 --> 00:07:41,239 Speaker 1: at the Poland place, and all of the things together 132 00:07:42,600 --> 00:07:45,800 Speaker 1: violent the Voting Rights Act and are unconstitutional. They're trying 133 00:07:45,840 --> 00:07:47,480 Speaker 1: to make a claim that you should look at this 134 00:07:47,560 --> 00:07:49,440 Speaker 1: holistically and when you look at it as a whole, 135 00:07:49,840 --> 00:07:53,680 Speaker 1: it is disenfranchising voters, uh, and that there needs to 136 00:07:53,720 --> 00:07:57,280 Speaker 1: be a kind of global remedy to fix Georgia's election system. 137 00:07:57,320 --> 00:08:00,200 Speaker 1: Thank you so much, rick Always a pleasure. That's Ricksen 138 00:08:00,240 --> 00:08:03,200 Speaker 1: a professor at the University of California Irvine School of 139 00:08:03,360 --> 00:08:06,920 Speaker 1: Law and founder of the Election Law BLAG. Thanks for 140 00:08:07,000 --> 00:08:10,240 Speaker 1: listening to the Bloomberg Law Podcast. You can subscribe and 141 00:08:10,320 --> 00:08:13,560 Speaker 1: listen to the show on Apple Podcasts, SoundCloud, and on 142 00:08:13,640 --> 00:08:18,360 Speaker 1: bloomberg dot com slash podcast. I'm June Brosso. This is 143 00:08:18,400 --> 00:08:19,000 Speaker 1: Bloomberg