1 00:00:01,240 --> 00:00:10,200 Speaker 1: Say it again, Charlama, Yes you are Shawl Man. 2 00:00:10,240 --> 00:00:11,600 Speaker 2: The same is true. 3 00:00:12,000 --> 00:00:14,520 Speaker 1: Yes, dog you today for Tuesday, October twenty second goes 4 00:00:14,560 --> 00:00:18,320 Speaker 1: to Arika Hutchison. Rika is a police officer in Memphis, Tennessee, 5 00:00:18,360 --> 00:00:19,799 Speaker 1: and since twenty eighteen. 6 00:00:19,600 --> 00:00:20,439 Speaker 3: She's been stealing. 7 00:00:20,920 --> 00:00:24,960 Speaker 1: Okay, yes, this police officer helps steal crime stoppers reward 8 00:00:25,079 --> 00:00:28,440 Speaker 1: money totaling eighteen thousand dollars. That's where we live in 9 00:00:28,480 --> 00:00:31,080 Speaker 1: an era where you truly can't trust anyone to be 10 00:00:31,160 --> 00:00:34,000 Speaker 1: anything but human. But this is just another example of 11 00:00:34,080 --> 00:00:36,040 Speaker 1: there is no right way to do the wrong thing. 12 00:00:36,320 --> 00:00:38,360 Speaker 1: Let's go to wr e G three News for the 13 00:00:38,400 --> 00:00:39,199 Speaker 1: report polease. 14 00:00:39,159 --> 00:00:42,160 Speaker 4: Record state from August twenty twenty three through February twenty 15 00:00:42,159 --> 00:00:45,800 Speaker 4: twenty four, Memphis police officer Erica Hutchison used her position 16 00:00:45,840 --> 00:00:48,800 Speaker 4: in law enforcement to enter fraudulent data into the crime 17 00:00:48,800 --> 00:00:52,440 Speaker 4: Stoppers database, then have a person named KB to receive 18 00:00:52,479 --> 00:00:56,280 Speaker 4: rewards for tips. Two incidents detailed in the documents state 19 00:00:56,320 --> 00:00:59,440 Speaker 4: in late twenty twenty three, tips for two separate crimes 20 00:00:59,480 --> 00:01:03,120 Speaker 4: were a for crime Stoppers reward money, but days before 21 00:01:03,200 --> 00:01:07,600 Speaker 4: that reward payout was scheduled, Hutchison updated the database system. 22 00:01:07,840 --> 00:01:10,959 Speaker 4: It's unclear if she knew that system maintained an audit 23 00:01:11,120 --> 00:01:14,280 Speaker 4: history listing which user made the modification. 24 00:01:14,840 --> 00:01:15,679 Speaker 3: What we do know. 25 00:01:15,959 --> 00:01:20,440 Speaker 4: January tenth, Memphis FBI Field Office agents conducted surveillance on 26 00:01:20,480 --> 00:01:24,320 Speaker 4: the Crime Stoppers payout location and witness KB, the person 27 00:01:24,400 --> 00:01:27,760 Speaker 4: Hutcheson had been conspiring with pull Up and pick Up 28 00:01:27,800 --> 00:01:31,120 Speaker 4: the reward payment for both of the tips. Records go 29 00:01:31,160 --> 00:01:35,039 Speaker 4: on to state Hutchison and KB fraudulently obtained eighteen five 30 00:01:35,120 --> 00:01:37,560 Speaker 4: hundred dollars in rewards from crime Stoppers. 31 00:01:38,440 --> 00:01:41,280 Speaker 1: Erica was running a scam from within the system. I'm 32 00:01:41,280 --> 00:01:43,200 Speaker 1: telling you, man, one of the greatest books you can 33 00:01:43,280 --> 00:01:46,119 Speaker 1: read is The Law of the Laws of Human Nature 34 00:01:46,160 --> 00:01:49,080 Speaker 1: by Robert Dreen. Okay, humans are such interesting creatures to me. 35 00:01:49,160 --> 00:01:52,400 Speaker 1: Because this woman was a police officer. She was stealing 36 00:01:52,440 --> 00:01:54,960 Speaker 1: reward money from crime stoppers since twenty eighteen. 37 00:01:55,000 --> 00:01:55,920 Speaker 3: You just heard what they said. 38 00:01:55,920 --> 00:01:57,920 Speaker 1: She was one of two officers a sign to sort 39 00:01:57,960 --> 00:02:00,800 Speaker 1: through crime stoppers tips and then give that information to 40 00:02:00,840 --> 00:02:05,760 Speaker 1: the investigators the investigation. That investigators documents, or that investigated 41 00:02:05,800 --> 00:02:08,840 Speaker 1: documents the usefulness of that tip in the database which 42 00:02:08,960 --> 00:02:09,920 Speaker 1: Erica had access to. 43 00:02:10,240 --> 00:02:11,440 Speaker 3: So from August. 44 00:02:11,080 --> 00:02:14,680 Speaker 1: Twenty twenty three, the February of twenty twenty four. She 45 00:02:14,919 --> 00:02:17,839 Speaker 1: used her position in law enforcement to inter fraudulent data 46 00:02:17,880 --> 00:02:20,079 Speaker 1: into the crime Stoppers database, then had a person named 47 00:02:20,120 --> 00:02:25,239 Speaker 1: KB to receive rewards from the tips. Here's what I 48 00:02:25,280 --> 00:02:29,040 Speaker 1: don't understand. You are a police officer Erica. How about 49 00:02:29,040 --> 00:02:32,760 Speaker 1: simply do your job, attempt to solve the crime. Connect 50 00:02:32,760 --> 00:02:35,480 Speaker 1: with real people on the street. It's pitches everywhere, okay, 51 00:02:35,520 --> 00:02:38,640 Speaker 1: it is people willing to give up information all the time. 52 00:02:38,919 --> 00:02:41,799 Speaker 1: Have those people send in the real tips that lead 53 00:02:41,840 --> 00:02:43,880 Speaker 1: to real arrests, and then when they collect. 54 00:02:43,600 --> 00:02:46,520 Speaker 3: The money, split it with them. I don't know if 55 00:02:46,520 --> 00:02:48,280 Speaker 3: that's legal or not. 56 00:02:47,760 --> 00:02:48,799 Speaker 2: That's not legal. 57 00:02:49,080 --> 00:02:54,320 Speaker 5: Legal, Like you, all right, watching too much power? 58 00:02:55,280 --> 00:02:57,720 Speaker 1: At least you at least you can fall back on 59 00:02:57,760 --> 00:03:01,760 Speaker 1: the fact that, hey, you really saw crimes, you really 60 00:03:01,840 --> 00:03:03,280 Speaker 1: getting criminals off the street. 61 00:03:03,480 --> 00:03:06,679 Speaker 3: You're not making up things. Okay. This is disappointing on 62 00:03:06,760 --> 00:03:07,440 Speaker 3: multiple levels. 63 00:03:07,480 --> 00:03:09,799 Speaker 1: First, you turn your badge into a side hustle by 64 00:03:09,800 --> 00:03:10,960 Speaker 1: scamming crime stop us. 65 00:03:11,080 --> 00:03:11,320 Speaker 3: Okay. 66 00:03:11,360 --> 00:03:14,320 Speaker 1: That immediately makes you untrustworthy. And when you're a police officer, 67 00:03:14,400 --> 00:03:16,480 Speaker 1: you're supposed to be in a position of trust. There's 68 00:03:16,480 --> 00:03:19,000 Speaker 1: already a level of distrust between civilians and cops. And 69 00:03:19,040 --> 00:03:21,280 Speaker 1: it's because of situations like this a lot of people 70 00:03:21,280 --> 00:03:23,880 Speaker 1: feel like the cops spend all day beating us up, 71 00:03:24,120 --> 00:03:27,600 Speaker 1: shooting us when we are unarmed, unarmed are pulling heists 72 00:03:27,880 --> 00:03:29,840 Speaker 1: like Alonzo on training day. All right, we know this 73 00:03:29,960 --> 00:03:32,040 Speaker 1: isn't the truth about all officers, but because of things 74 00:03:32,040 --> 00:03:34,800 Speaker 1: we've seen of our own eyes and propaganda or should 75 00:03:34,800 --> 00:03:38,360 Speaker 1: we say copaganda, this is what we think in Erica. 76 00:03:38,800 --> 00:03:40,320 Speaker 3: You didn't make the situation any. 77 00:03:40,120 --> 00:03:42,280 Speaker 1: Better because instead of using your position as a cop 78 00:03:42,560 --> 00:03:46,520 Speaker 1: to serve the community, you have used your position as 79 00:03:46,560 --> 00:03:48,320 Speaker 1: a cop to serve yourself. 80 00:03:49,120 --> 00:03:52,240 Speaker 3: Please give Erica Hudgerson the sweet sounds of the Hamiltons. 81 00:03:52,520 --> 00:04:11,120 Speaker 6: You oh the day? Oh ye, So. 82 00:04:11,200 --> 00:04:13,760 Speaker 1: You telling me if I'm a cop, you're a cop? 83 00:04:14,240 --> 00:04:15,960 Speaker 1: And I got people in the street. 84 00:04:16,279 --> 00:04:16,520 Speaker 4: People. 85 00:04:16,880 --> 00:04:18,360 Speaker 3: I go to these people in the street. 86 00:04:18,160 --> 00:04:20,400 Speaker 1: And I go, hey, you know there's a reward for 87 00:04:20,520 --> 00:04:22,440 Speaker 1: turning in such and such of y'all can give me 88 00:04:22,440 --> 00:04:24,479 Speaker 1: some information that can lead to the arrest is such 89 00:04:24,520 --> 00:04:26,760 Speaker 1: and such. And then they give me that information, I 90 00:04:26,880 --> 00:04:28,239 Speaker 1: give that information. 91 00:04:27,839 --> 00:04:28,839 Speaker 3: Over the crime Stoppers. 92 00:04:28,880 --> 00:04:32,000 Speaker 1: Crime Stoppers uses that information and it actually leads to 93 00:04:32,040 --> 00:04:34,040 Speaker 1: an arrest, and then that person gets a reward if 94 00:04:34,040 --> 00:04:36,039 Speaker 1: that person want to give me five hundred dollars for Christmas, 95 00:04:36,040 --> 00:04:38,520 Speaker 1: A five hundred dollars for my birthday, A five hundred dollars. 96 00:04:38,360 --> 00:04:39,880 Speaker 3: Because he want me to go get some Dunkan donuts. 97 00:04:39,880 --> 00:04:42,560 Speaker 3: That's illegal. Yes, I don't believe that. 98 00:04:42,800 --> 00:04:45,400 Speaker 7: You think there's a police bribery agency that. 99 00:04:45,320 --> 00:04:47,960 Speaker 5: You can't take an take. 100 00:04:47,839 --> 00:04:49,720 Speaker 7: That ribery, but like, I don't know it just. 101 00:04:49,839 --> 00:04:52,640 Speaker 1: I don't let you to some money, Lauren, you right, 102 00:04:52,880 --> 00:04:54,960 Speaker 1: you you know somebody out here selling bad weeds or 103 00:04:54,960 --> 00:04:57,839 Speaker 1: something right so that weeds. 104 00:04:57,920 --> 00:04:59,919 Speaker 3: You know, I just wanted to be cleared. 105 00:05:00,320 --> 00:05:02,919 Speaker 1: So you tell me who these people are. You it 106 00:05:03,000 --> 00:05:05,360 Speaker 1: leads to an arrest, you get the reward money for it, 107 00:05:05,440 --> 00:05:07,200 Speaker 1: and you'd be like, you know what, I got twenty 108 00:05:07,200 --> 00:05:10,920 Speaker 1: five hundred here, five hundred up? That's illegal, and why 109 00:05:10,920 --> 00:05:11,960 Speaker 1: would you say weaves with her? 110 00:05:12,240 --> 00:05:12,919 Speaker 7: Nobody said it. 111 00:05:12,960 --> 00:05:14,520 Speaker 5: He wanted me to go find the people that was 112 00:05:14,520 --> 00:05:16,120 Speaker 5: trying to fix the hairline and it didn't work, so 113 00:05:16,120 --> 00:05:19,720 Speaker 5: he had to go ball. So I understand your intent, 114 00:05:19,839 --> 00:05:21,720 Speaker 5: you know what I mean, there's no malice in your intent, 115 00:05:21,760 --> 00:05:23,880 Speaker 5: and that's why I didn't react that first, you know, to. 116 00:05:23,839 --> 00:05:25,640 Speaker 3: Talk about it. We are she want to talk about it? 117 00:05:25,800 --> 00:05:29,080 Speaker 7: Guy, underlying issues and conditions ed her. 118 00:05:29,040 --> 00:05:32,480 Speaker 1: Scalp all morning she's been she's been patting her head 119 00:05:32,600 --> 00:05:35,640 Speaker 1: so much, she's gonna give herself a concussion. Just listen, 120 00:05:36,000 --> 00:05:37,920 Speaker 1: just gonna come back from maternity leaving. We're gonna have 121 00:05:37,920 --> 00:05:39,200 Speaker 1: to put her own concussion protocol. 122 00:05:39,520 --> 00:05:42,200 Speaker 2: She just like this all morning long. 123 00:05:42,680 --> 00:05:45,000 Speaker 1: She need a rat tooth comb so bad to get 124 00:05:45,040 --> 00:05:47,400 Speaker 1: up under that. 125 00:05:48,160 --> 00:05:49,480 Speaker 5: You said you want to give me some stuff from 126 00:05:49,480 --> 00:05:51,520 Speaker 5: my birth day. Can you ad the right to get. 127 00:05:51,800 --> 00:05:55,279 Speaker 3: Somebody get tooth comb so she can get up under that. 128 00:05:55,600 --> 00:05:56,880 Speaker 7: Let you know, people. 129 00:05:56,839 --> 00:06:00,919 Speaker 3: Trying to scratch, trying to scratch right, the. 130 00:06:00,960 --> 00:06:05,400 Speaker 5: Cameras on right now, my hairs out right now. 131 00:06:05,440 --> 00:06:08,880 Speaker 2: It's like a fit. You just not cat. 132 00:06:10,400 --> 00:06:14,880 Speaker 3: Ladd pat pat your lady, lady. So as we go 133 00:06:14,920 --> 00:06:18,440 Speaker 3: to breaks, you're gonna be all right, gas, all right gas. 134 00:06:19,880 --> 00:06:21,720 Speaker 7: And you're just sitting over there watching me fight. 135 00:06:23,240 --> 00:06:25,719 Speaker 2: When you leave, I'll leave you alone. 136 00:06:26,560 --> 00:06:27,760 Speaker 7: Just always sit over there and watching me. 137 00:06:27,839 --> 00:06:28,720 Speaker 3: I think it's envy. 138 00:06:28,839 --> 00:06:29,880 Speaker 7: This is no, this is not. 139 00:06:31,880 --> 00:06:32,960 Speaker 3: Concussion protocol. 140 00:06:33,080 --> 00:06:38,840 Speaker 7: Is crazy, demon that you ain't that right there? Okay, 141 00:06:38,880 --> 00:06:40,800 Speaker 7: sip that tea because you just took that big chunk. 142 00:06:40,880 --> 00:06:43,919 Speaker 7: You ate that that one? You did that one. I 143 00:06:43,960 --> 00:06:47,600 Speaker 7: think it's demon it was real. It doesn't matter. It 144 00:06:47,600 --> 00:06:50,600 Speaker 7: looks good. Envy. 145 00:06:50,640 --> 00:07:05,119 Speaker 5: Are you supposed to say, yeah. 146 00:07:00,040 --> 00:07:04,560 Speaker 1: I know, God knows God God No, God be just 147 00:07:04,600 --> 00:07:05,719 Speaker 1: testing me to see if it's working. 148 00:07:06,960 --> 00:07:08,760 Speaker 3: All right, Well, think about dog give me da if 149 00:07:08,760 --> 00:07:09,440 Speaker 3: he really works. 150 00:07:10,280 --> 00:07:12,800 Speaker 5: Were flats today because I might got punch you. 151 00:07:12,920 --> 00:07:31,559 Speaker 2: I might need you. All right, guys, wake that ass 152 00:07:31,640 --> 00:07:32,840 Speaker 2: up in the morning. 153 00:07:32,960 --> 00:07:34,000 Speaker 3: The Breakfast Club