1 00:00:00,360 --> 00:00:09,920 Speaker 1: Yeah, I don't want to ask your question. 2 00:00:09,960 --> 00:00:11,600 Speaker 2: Real good, let's just keep it real straight. Shye with 3 00:00:11,640 --> 00:00:13,319 Speaker 2: no chase. So I'm gonna get a little bit rougher. 4 00:00:15,240 --> 00:00:17,360 Speaker 3: I'm here for it. Those who really believe in the 5 00:00:17,400 --> 00:00:21,560 Speaker 3: American process, all of us street shot no chase with 6 00:00:21,760 --> 00:00:25,079 Speaker 3: your girl tesselim figure out on the Black Effect podcasting 7 00:00:25,079 --> 00:00:28,480 Speaker 3: at work at work. So you guys, if you follow 8 00:00:28,480 --> 00:00:31,000 Speaker 3: me on Twitter, you know I have been saying over 9 00:00:31,080 --> 00:00:33,239 Speaker 3: and over and over and over and over that you 10 00:00:33,360 --> 00:00:35,760 Speaker 3: have to have a pack political action committee. 11 00:00:35,840 --> 00:00:37,159 Speaker 2: And I know there's been conversation. 12 00:00:37,240 --> 00:00:40,600 Speaker 3: I said at the rally last year on the Reparations rally, 13 00:00:40,680 --> 00:00:42,479 Speaker 3: and folks said, why is TESLA in that it has 14 00:00:42,520 --> 00:00:44,559 Speaker 3: none to do with politics. Well, clearly they don't understand 15 00:00:44,560 --> 00:00:47,320 Speaker 3: how anything is done, how anything has passed. Well, now 16 00:00:47,360 --> 00:00:50,000 Speaker 3: we can look at a real life example. There's an 17 00:00:50,080 --> 00:00:53,280 Speaker 3: organization on Twitter that you can follow, call on Listen 18 00:00:53,360 --> 00:00:57,840 Speaker 3: to Michigan, the Listening to Mission organization that is a hashtag. 19 00:00:58,200 --> 00:01:01,760 Speaker 3: It's actually a rap A Mayorris for Progress. Guess what 20 00:01:01,800 --> 00:01:05,399 Speaker 3: a we Americans for progress is? They four O one 21 00:01:05,560 --> 00:01:09,559 Speaker 3: C Pack Political Action Committee. Let me say again, five 22 00:01:09,600 --> 00:01:14,559 Speaker 3: oh one C four Political Action Committee It is one 23 00:01:14,600 --> 00:01:17,679 Speaker 3: thing to hashtag all day we ain't voting, we ain't voting, 24 00:01:17,680 --> 00:01:19,319 Speaker 3: we ain't voting, we ain't voting. We sitting now, we 25 00:01:19,319 --> 00:01:22,000 Speaker 3: sitting now, we sitting out. And there's another thing to 26 00:01:22,120 --> 00:01:26,759 Speaker 3: actually have a pack with organizations with yes leaders, because 27 00:01:26,800 --> 00:01:29,320 Speaker 3: all packs need leaders, and all packs have leaders. 28 00:01:29,319 --> 00:01:31,120 Speaker 2: By the way, nothing has happened to these leaders. 29 00:01:31,560 --> 00:01:35,240 Speaker 3: But to have an actual organization where you donate your 30 00:01:35,280 --> 00:01:38,760 Speaker 3: money to that can fund you sitting on Twitter and 31 00:01:38,800 --> 00:01:42,319 Speaker 3: bringing awareness, that can fund you, sending literature out to 32 00:01:42,400 --> 00:01:45,800 Speaker 3: folks that can fund actually getting people to the polls 33 00:01:45,840 --> 00:01:48,800 Speaker 3: to vote against the person you're with and the person 34 00:01:48,800 --> 00:01:51,440 Speaker 3: that you want to go against. Do like they did, 35 00:01:51,640 --> 00:01:54,440 Speaker 3: which had one hundred thousand people show up for no commitment. 36 00:01:56,000 --> 00:01:57,960 Speaker 3: It's one thing to say I'm not going to vote 37 00:01:58,000 --> 00:01:59,720 Speaker 3: for you if you're not a support of reparations. And 38 00:01:59,720 --> 00:02:03,320 Speaker 3: it's another thing to organize one hundred thousand people in 39 00:02:03,520 --> 00:02:08,840 Speaker 3: a city to say we're showing up to vote no community, 40 00:02:09,720 --> 00:02:11,560 Speaker 3: meaning we want to put it on the record. See 41 00:02:11,560 --> 00:02:15,760 Speaker 3: talk sounds so good, it sounds good. But when one 42 00:02:15,840 --> 00:02:19,079 Speaker 3: hundred thousand people get out their bed and show up 43 00:02:19,240 --> 00:02:22,400 Speaker 3: to vote at the polls for everybody, but you see, 44 00:02:22,440 --> 00:02:25,680 Speaker 3: this is why voting is powered. I've never said vote 45 00:02:25,680 --> 00:02:28,840 Speaker 3: for the person that you don't like. What I'm trying 46 00:02:28,880 --> 00:02:32,560 Speaker 3: to show you. It is a tool to show that, yes, 47 00:02:32,680 --> 00:02:37,440 Speaker 3: you exist. Talking behind fake names and avatar not real. 48 00:02:38,000 --> 00:02:39,600 Speaker 3: We don't know if you really are who you say 49 00:02:39,600 --> 00:02:41,560 Speaker 3: you are. We don't know where you live. There's no data, 50 00:02:41,600 --> 00:02:45,200 Speaker 3: there's nothing. What was real was one hundred thousand people 51 00:02:45,280 --> 00:02:49,560 Speaker 3: in Michigan went to the polls yesterday under the direction 52 00:02:49,680 --> 00:02:51,160 Speaker 3: of listen to Michigan. 53 00:02:51,400 --> 00:02:53,400 Speaker 2: And that is why they're in the news all day 54 00:02:53,440 --> 00:02:55,639 Speaker 2: every day, and that is why Joe Biden is saying, well, 55 00:02:55,680 --> 00:02:57,680 Speaker 2: we might have a sea spiral Monday. That is why 56 00:02:57,680 --> 00:02:59,160 Speaker 2: they're having to action. I guess what They're not going 57 00:02:59,200 --> 00:03:01,880 Speaker 2: to stop. There's about other states that also have a 58 00:03:01,919 --> 00:03:05,799 Speaker 2: no commitment. So why is reparations that were challenging me 59 00:03:05,840 --> 00:03:08,320 Speaker 2: about why is why was I involved? Why are they 60 00:03:08,360 --> 00:03:13,280 Speaker 2: not organizing for the reparation to be voting no commitment? 61 00:03:13,320 --> 00:03:16,000 Speaker 2: Where is that campaign at? Where's that Papa want to 62 00:03:16,000 --> 00:03:18,560 Speaker 2: see at? Why are you not donating to that to 63 00:03:18,600 --> 00:03:22,280 Speaker 2: get people to move? This is not chastising you. I'm 64 00:03:22,320 --> 00:03:24,440 Speaker 2: just telling you what it is to sit around and 65 00:03:24,480 --> 00:03:28,160 Speaker 2: say that immigrants and other groups have packs. 66 00:03:28,200 --> 00:03:34,560 Speaker 3: That's just a plain, flat out line they do. Look 67 00:03:34,600 --> 00:03:36,320 Speaker 3: at the website I just put up. Go look and 68 00:03:36,360 --> 00:03:43,680 Speaker 3: see what they do, election day volunteer training, election night 69 00:03:43,760 --> 00:03:52,720 Speaker 3: gathering training, phone banking, donations by four pages. And this 70 00:03:52,800 --> 00:03:57,840 Speaker 3: is a fairly new organization, by the way, Action Network. 71 00:03:57,880 --> 00:04:02,800 Speaker 3: Hey is Action Network. I haven't found how much they've 72 00:04:02,880 --> 00:04:06,160 Speaker 3: raised us so far because it is a new organization, 73 00:04:06,240 --> 00:04:07,520 Speaker 3: so I don't know if they turn in their campaign 74 00:04:07,520 --> 00:04:08,040 Speaker 3: report or not. 75 00:04:08,200 --> 00:04:09,400 Speaker 2: But do y'all see the difference? 76 00:04:09,440 --> 00:04:11,640 Speaker 3: Put a one hundred? Just admit you seeing the difference. 77 00:04:11,840 --> 00:04:14,280 Speaker 3: There's been a lot of misinformation. It's either because people 78 00:04:14,320 --> 00:04:16,840 Speaker 3: don't know or they're intentionally trying to mislead you. And 79 00:04:16,880 --> 00:04:19,000 Speaker 3: what I'm trying to tell you is if you want 80 00:04:19,040 --> 00:04:24,039 Speaker 3: to be taken serious, start a damn pack and actually organized. 81 00:04:24,200 --> 00:04:26,600 Speaker 3: That means the infighting has to stop on Twitter. That 82 00:04:26,640 --> 00:04:28,920 Speaker 3: means that the money needs to go to one thing, 83 00:04:29,040 --> 00:04:31,400 Speaker 3: one or two things. That means people need to take 84 00:04:31,440 --> 00:04:34,200 Speaker 3: a position and stop thinking that the CIA is looking 85 00:04:34,200 --> 00:04:36,239 Speaker 3: for you. Because so you got to go by hot 86 00:04:36,279 --> 00:04:39,400 Speaker 3: Dog fifty nine to eighty two and go real damn 87 00:04:39,520 --> 00:04:42,760 Speaker 3: name and take a position power and assert it. That 88 00:04:42,839 --> 00:04:46,160 Speaker 3: means have to be knocked on. That means that grassroofs 89 00:04:46,240 --> 00:04:49,520 Speaker 3: is not just standing in the grass. Protest is very impartant, 90 00:04:49,839 --> 00:04:55,080 Speaker 3: very impartible. I support protests, but the difference between this 91 00:04:55,120 --> 00:04:57,440 Speaker 3: type of protest, but it's godzly y'all saw they guys 92 00:04:57,520 --> 00:04:59,000 Speaker 3: set themselves on fire. 93 00:05:00,320 --> 00:05:00,600 Speaker 1: With this. 94 00:05:02,000 --> 00:05:04,960 Speaker 3: He literally set himself on fire on Monday. They talk 95 00:05:05,040 --> 00:05:08,360 Speaker 3: and landing planes. They taking this shit real serious. Now, 96 00:05:08,360 --> 00:05:10,640 Speaker 3: I'm not saying you got to set fire, but how 97 00:05:10,640 --> 00:05:12,680 Speaker 3: many of you would even dedicate the time to start 98 00:05:12,680 --> 00:05:18,400 Speaker 3: the pack? Stop thinking other group has to have a pack, 99 00:05:18,480 --> 00:05:22,760 Speaker 3: because they all the successful ones. The Jewish pack a pack, 100 00:05:23,720 --> 00:05:28,599 Speaker 3: one of the most are the most powerful pack in 101 00:05:28,640 --> 00:05:32,359 Speaker 3: the country is the Jewish pack. And yes there are 102 00:05:32,480 --> 00:05:34,880 Speaker 3: hundreds of black packs, just not the packs that you 103 00:05:35,000 --> 00:05:36,000 Speaker 3: probably would support. 104 00:05:36,200 --> 00:05:38,600 Speaker 2: There are hundreds of probably thousands. 105 00:05:40,320 --> 00:05:41,839 Speaker 3: So if you don't know how to start one, to 106 00:05:41,880 --> 00:05:43,240 Speaker 3: just say that, if you don't want to be a 107 00:05:43,240 --> 00:05:44,760 Speaker 3: part of it, just say that. But to say no 108 00:05:44,839 --> 00:05:47,279 Speaker 3: other group does that flat a lot time, but they're 109 00:05:47,320 --> 00:05:50,200 Speaker 3: not counting you anywhere. It's more people that stay home 110 00:05:50,520 --> 00:05:55,200 Speaker 3: than don't from most of day in Michigan's primary than 111 00:05:55,320 --> 00:06:00,080 Speaker 3: did not stay home. Actually that helps, That helps, so 112 00:06:00,200 --> 00:06:03,680 Speaker 3: Canada that like get the fifty percent easier. What hurt 113 00:06:03,760 --> 00:06:06,320 Speaker 3: yesterday was one hundred thousand people that showed up for 114 00:06:06,360 --> 00:06:10,040 Speaker 3: no commitment. What hurt yesterday was the other I believe 115 00:06:10,560 --> 00:06:15,000 Speaker 3: we get. Let me get the numbers. I don't know 116 00:06:15,000 --> 00:06:17,760 Speaker 3: how many showed up. I don't have it a Let's 117 00:06:17,760 --> 00:06:20,360 Speaker 3: see how many showed up. The twenty thousand that showed 118 00:06:20,440 --> 00:06:23,600 Speaker 3: up for Dean Phillips. That's what you know? How many 119 00:06:23,640 --> 00:06:26,640 Speaker 3: people that this is meusic Michigan. So why are you 120 00:06:27,080 --> 00:06:30,320 Speaker 3: being one of the million that they're already counting on. 121 00:06:30,400 --> 00:06:34,000 Speaker 3: Not voting makes a difference. My audio is shopping. So 122 00:06:34,120 --> 00:06:37,679 Speaker 3: let me know if I if it sounds good. People 123 00:06:37,720 --> 00:06:41,160 Speaker 3: showed up to vote for Joe Biden. One hundred thousand 124 00:06:41,839 --> 00:06:45,520 Speaker 3: showed up to say I'm uncommitted. Twenty thousand showed up 125 00:06:46,520 --> 00:06:49,919 Speaker 3: to say I'm voted for Dean Phillips. Oh, I know, 126 00:06:50,000 --> 00:06:52,320 Speaker 3: y'all say those are not important numbers. 127 00:06:52,640 --> 00:06:53,320 Speaker 2: What is that? 128 00:06:53,360 --> 00:06:55,240 Speaker 3: Well, let me break it down to yousplain exactly what 129 00:06:55,320 --> 00:06:58,480 Speaker 3: it is. And two thousand SAMNUS beat Hillary Clinton by 130 00:06:58,560 --> 00:07:02,080 Speaker 3: only eighteen four hundred twenty seven votes. I worked in Michigan, 131 00:07:02,440 --> 00:07:05,599 Speaker 3: the only black staffer that year from the national level, 132 00:07:07,680 --> 00:07:10,600 Speaker 3: and we won because we focused on Flint, who Hillary 133 00:07:10,600 --> 00:07:12,920 Speaker 3: Clinton was ignoring because she thought she had dearborn in 134 00:07:12,920 --> 00:07:16,560 Speaker 3: Detroit in the bag, and we focused on the outskirts. 135 00:07:16,840 --> 00:07:19,400 Speaker 3: He won by eighteen thousand, four undred and twenty seven votes. 136 00:07:21,200 --> 00:07:24,040 Speaker 3: He had forty nine percent. Hillary had forty eight percent. 137 00:07:24,920 --> 00:07:28,680 Speaker 3: Show me how that vote doesn't matter. When Hillary ran 138 00:07:28,720 --> 00:07:32,680 Speaker 3: in the general against Trump in Michigan, he won by 139 00:07:32,720 --> 00:07:35,880 Speaker 3: ten thousand votes. He had forty seven point three of 140 00:07:35,880 --> 00:07:38,520 Speaker 3: the vote. Clinton had forty seven percent of the vote. 141 00:07:38,640 --> 00:07:41,920 Speaker 3: So when somebody say one hundred thousands not a lot, oh, 142 00:07:41,920 --> 00:07:43,840 Speaker 3: it is when you look at it only took ten 143 00:07:43,960 --> 00:07:46,840 Speaker 3: thousand votes to flip. And I guess people are just 144 00:07:46,880 --> 00:07:49,480 Speaker 3: forgetting or not remembering, or maybe they don't know. This 145 00:07:49,560 --> 00:07:52,560 Speaker 3: is the electoral college. It's not the popular vote. So 146 00:07:52,760 --> 00:07:55,440 Speaker 3: all it takes is for him to do just well, 147 00:07:55,600 --> 00:07:59,360 Speaker 3: just good enough in a state to get all of 148 00:07:59,400 --> 00:08:00,600 Speaker 3: the electoral votes. 149 00:08:01,440 --> 00:08:02,880 Speaker 2: Are y'all following what I'm saying. 150 00:08:06,400 --> 00:08:08,960 Speaker 3: That's why it's important to talk to some people sometimes 151 00:08:09,000 --> 00:08:12,200 Speaker 3: that have actually had to do field work, because it's 152 00:08:12,200 --> 00:08:16,520 Speaker 3: a totally different perspective. I appreciate commentators. I appreciate you know, 153 00:08:16,560 --> 00:08:18,960 Speaker 3: their point of view. Just like this morning Charltte Mabe like, 154 00:08:19,000 --> 00:08:20,840 Speaker 3: I don't think they're gonna stay out. That's his point 155 00:08:20,840 --> 00:08:22,880 Speaker 3: of view as a commentator. My point of view is 156 00:08:23,040 --> 00:08:26,320 Speaker 3: quite different because I worked in Michigan for several several months, 157 00:08:28,240 --> 00:08:30,040 Speaker 3: and it is different when you're on the ground and 158 00:08:30,080 --> 00:08:31,640 Speaker 3: you're talking to these people and you're hearing how they 159 00:08:31,680 --> 00:08:34,559 Speaker 3: move and you hearing how they feel, and that was 160 00:08:34,600 --> 00:08:36,839 Speaker 3: how they felt for this happened. I know that it's 161 00:08:36,880 --> 00:08:40,400 Speaker 3: a strong Muslim community. That's why Rashida Tulle represents Detroit. 162 00:08:40,679 --> 00:08:43,080 Speaker 3: Five over five black people that ran against her and 163 00:08:43,120 --> 00:08:47,839 Speaker 3: she she crushed them off. So when somebody say why 164 00:08:47,880 --> 00:08:50,360 Speaker 3: she ain't talking about black black issues, she's talking about 165 00:08:50,360 --> 00:08:52,560 Speaker 3: the issues that her people elected her to do. She 166 00:08:52,640 --> 00:08:54,680 Speaker 3: is doing exactly what she's supposed to do, which is 167 00:08:54,679 --> 00:08:57,240 Speaker 3: get elected by her people, push her issues. If people 168 00:08:57,240 --> 00:08:59,320 Speaker 3: want to get behind something, want somebody talk about black issues, 169 00:08:59,480 --> 00:09:01,280 Speaker 3: then you need to lack a black person, and then 170 00:09:01,320 --> 00:09:03,320 Speaker 3: you need to demand that they do your issues. And 171 00:09:03,360 --> 00:09:05,360 Speaker 3: if they don't do their issues, then you need to 172 00:09:05,400 --> 00:09:10,760 Speaker 3: have a threat and push them out. That's the difference. 173 00:09:15,880 --> 00:09:18,319 Speaker 3: So I just wanted to give y'all some real information 174 00:09:18,880 --> 00:09:20,280 Speaker 3: on what happened yesterday. 175 00:09:20,640 --> 00:09:23,160 Speaker 2: Why that matters. We don't have to guess. 176 00:09:23,440 --> 00:09:26,800 Speaker 3: You guys can continue to stay in your fulls of conversations. 177 00:09:27,080 --> 00:09:28,839 Speaker 2: Oh, you can continue. 178 00:09:28,480 --> 00:09:31,880 Speaker 3: To do the hashtags. I will uplift it every chance 179 00:09:31,960 --> 00:09:35,440 Speaker 3: I get. But uplifting it on TV or uplifting it 180 00:09:35,440 --> 00:09:38,360 Speaker 3: in meetings is not the same as organizing. At some point, 181 00:09:38,400 --> 00:09:46,520 Speaker 3: somebody's gonna have to organize, and that's it. If that's all. 182 00:09:46,559 --> 00:09:48,760 Speaker 3: And you might be saying, what, Hazel walla't you do it? Well, 183 00:09:48,760 --> 00:09:50,760 Speaker 3: I'll run a staffing firm. I'm I'm sorry, not a 184 00:09:50,760 --> 00:09:55,000 Speaker 3: staffing firm, communications firm. And I have four shows that 185 00:09:55,040 --> 00:09:57,600 Speaker 3: I do and I'm not interested in starting the five 186 00:09:57,640 --> 00:10:00,319 Speaker 3: on one C four. I'm also not on your every 187 00:10:00,360 --> 00:10:03,200 Speaker 3: day landing planes about about a singular topic. 188 00:10:04,679 --> 00:10:06,199 Speaker 2: Those who are landing planes. 189 00:10:05,880 --> 00:10:08,440 Speaker 3: About a singular topic every day, all day should be 190 00:10:08,480 --> 00:10:11,640 Speaker 3: the ones starting this organization. So that you can actually 191 00:10:11,679 --> 00:10:14,439 Speaker 3: get a salary for talking about the same topic every 192 00:10:14,480 --> 00:10:16,840 Speaker 3: day all day. You can hire people for talking about 193 00:10:16,840 --> 00:10:19,120 Speaker 3: the same topic all day every day. You can have 194 00:10:19,720 --> 00:10:22,800 Speaker 3: a website, you can have collateral go out and you 195 00:10:22,800 --> 00:10:25,040 Speaker 3: can organize people to go to the polls to say 196 00:10:25,040 --> 00:10:29,240 Speaker 3: we're voting. We're writing in reparations the same way they 197 00:10:29,280 --> 00:10:32,319 Speaker 3: did the writing in New Hampshire, none of the above, 198 00:10:34,679 --> 00:10:40,640 Speaker 3: same way they did it, and uncommitted because I promise 199 00:10:40,679 --> 00:10:44,720 Speaker 3: you they're not looking at comments on Twitter or Instagram 200 00:10:44,880 --> 00:10:50,760 Speaker 3: or YouTube. They're just not It's a part of it. 201 00:10:50,760 --> 00:10:55,560 Speaker 3: It's important. I'm not minimizing it. But it is not 202 00:10:55,600 --> 00:10:57,000 Speaker 3: as important as you guys think. 203 00:10:57,080 --> 00:11:00,240 Speaker 2: With zero strategies. 204 00:11:04,840 --> 00:11:06,360 Speaker 3: I'll take a couple of calls and then we'll get 205 00:11:06,360 --> 00:11:09,760 Speaker 3: out of here. B double and again, I don't know 206 00:11:09,800 --> 00:11:12,440 Speaker 3: who is who with these names, So if you're trolling, 207 00:11:12,440 --> 00:11:13,800 Speaker 3: I'm just let you know right out the gate. I'm 208 00:11:13,840 --> 00:11:16,400 Speaker 3: exing you on out and we're moving on. So this 209 00:11:16,480 --> 00:11:17,640 Speaker 3: is BDUB twenty five. 210 00:11:18,640 --> 00:11:19,440 Speaker 2: You can go ahead. 211 00:11:19,920 --> 00:11:22,640 Speaker 4: Good morning, Hey, good morning. How you understand I appreciate 212 00:11:22,679 --> 00:11:25,640 Speaker 4: you this one. I thank you, appreciate you this morning. 213 00:11:26,040 --> 00:11:27,880 Speaker 4: Listen to you guys pretty very early too in the 214 00:11:27,880 --> 00:11:30,719 Speaker 4: breakfast club. At least catch your segments nothing else. So 215 00:11:30,880 --> 00:11:33,319 Speaker 4: like hearing you spend the news. Alright, you guys have 216 00:11:33,440 --> 00:11:33,960 Speaker 4: put that out. 217 00:11:35,400 --> 00:11:37,920 Speaker 1: I was curious. I was expecting that conversation to be 218 00:11:38,160 --> 00:11:40,440 Speaker 1: as it was this morning, about one hundred thousand people 219 00:11:40,480 --> 00:11:42,920 Speaker 1: that came out, and I look at that as a 220 00:11:42,920 --> 00:11:45,360 Speaker 1: big number, definitely, But when I look at in context, 221 00:11:45,360 --> 00:11:48,000 Speaker 1: I know you're bringing up twenty sixteen, would in between 222 00:11:48,080 --> 00:11:51,480 Speaker 1: twelve primary be a better a better comparison, better apples 223 00:11:51,520 --> 00:11:54,680 Speaker 1: to apples where you have an incumbent Democratic president that 224 00:11:54,760 --> 00:11:57,400 Speaker 1: was running in the primary in Michigan, as opposed to 225 00:11:57,400 --> 00:12:00,480 Speaker 1: looking at twenty sixteen where you had two candidates who 226 00:12:00,480 --> 00:12:03,720 Speaker 1: were neither both find for the nomination, neither were the 227 00:12:03,760 --> 00:12:05,600 Speaker 1: currency and president, neither were the incumbent. 228 00:12:06,960 --> 00:12:09,920 Speaker 3: Well, anytime you that great question, any time that you're 229 00:12:09,920 --> 00:12:12,280 Speaker 3: doing a comparison, it's never apples to apples because the 230 00:12:12,360 --> 00:12:14,960 Speaker 3: environment changes. So anytime you're looking at when you're doing 231 00:12:14,960 --> 00:12:18,079 Speaker 3: a political analystis I'm talking, I'm speaking to the weather, 232 00:12:18,320 --> 00:12:22,560 Speaker 3: which means if seventy degrees in March in Houston here, 233 00:12:22,640 --> 00:12:24,760 Speaker 3: but last year could have been fifty degrees because the 234 00:12:24,760 --> 00:12:25,720 Speaker 3: climate control. 235 00:12:26,000 --> 00:12:27,720 Speaker 2: So you're never going to be apples to apples. 236 00:12:27,720 --> 00:12:29,040 Speaker 3: So what you do is you take a little bit 237 00:12:29,040 --> 00:12:31,079 Speaker 3: of data that you can and you try to use 238 00:12:31,120 --> 00:12:34,000 Speaker 3: that to make an assessment. So it's not about comparing 239 00:12:34,040 --> 00:12:37,600 Speaker 3: it to twenty sixteen when you had an incumbent, because 240 00:12:37,679 --> 00:12:39,080 Speaker 3: you're saying compared. 241 00:12:38,760 --> 00:12:41,720 Speaker 1: To what you were when Obama was in incumbent. 242 00:12:42,760 --> 00:12:43,880 Speaker 2: Yeah, that didn't matter. 243 00:12:43,920 --> 00:12:46,440 Speaker 3: There was a totally different environment, a totally different energy, 244 00:12:46,440 --> 00:12:49,719 Speaker 3: a totally different shift when and let me just kind 245 00:12:49,720 --> 00:12:53,280 Speaker 3: of back up a little bit, Joe Biden came Barack 246 00:12:53,320 --> 00:12:56,480 Speaker 3: Obama campaign. They chose as a vice president to lock 247 00:12:56,559 --> 00:12:59,400 Speaker 3: in Michigan. So he was actually, if you go google 248 00:12:59,400 --> 00:13:01,400 Speaker 3: this and look this up up, he was supposed to 249 00:13:01,440 --> 00:13:04,240 Speaker 3: be mister Michigan because of all of the relationships that 250 00:13:04,240 --> 00:13:06,079 Speaker 3: he had in the labor. He was supposed to be 251 00:13:06,160 --> 00:13:08,560 Speaker 3: the cool That's where Uncle Joe came from, the cool 252 00:13:08,600 --> 00:13:11,760 Speaker 3: guy that could sit down with the labor guys and 253 00:13:11,800 --> 00:13:14,199 Speaker 3: sit down and have a beer. He was recruited from 254 00:13:14,200 --> 00:13:16,560 Speaker 3: Michigan at that time. So when he was running with 255 00:13:16,559 --> 00:13:19,480 Speaker 3: Obama in Michigan, he was able to deliver that that 256 00:13:20,160 --> 00:13:23,640 Speaker 3: is totally different from when he's actually been in office now. 257 00:13:24,040 --> 00:13:26,800 Speaker 3: And again, being in office now with a war going 258 00:13:26,840 --> 00:13:29,440 Speaker 3: on is a totally different environment. We have not seen 259 00:13:29,480 --> 00:13:32,560 Speaker 3: that before. This is beyond just policy with student dad 260 00:13:32,559 --> 00:13:35,280 Speaker 3: and people being upset This is beyond the unions being 261 00:13:35,280 --> 00:13:37,920 Speaker 3: pissed off, you know, having multiple multiple strikes, which he's 262 00:13:37,920 --> 00:13:39,000 Speaker 3: made up with some of those. 263 00:13:39,160 --> 00:13:39,720 Speaker 2: Is beyond that. 264 00:13:40,000 --> 00:13:42,080 Speaker 3: We have a war going on with a group of 265 00:13:42,120 --> 00:13:44,120 Speaker 3: people that are not going to allow you to play 266 00:13:44,120 --> 00:13:46,440 Speaker 3: with them. Remember, this group of people actually will do 267 00:13:46,520 --> 00:13:50,400 Speaker 3: suicide bombs. So we're not talking about people. And I'm 268 00:13:50,400 --> 00:13:53,320 Speaker 3: gonna say this, black people, you can play in our 269 00:13:53,320 --> 00:13:55,400 Speaker 3: face all day. This group is not the type of 270 00:13:55,400 --> 00:13:57,360 Speaker 3: group that's gonna allow you to play with them and 271 00:13:57,440 --> 00:13:58,000 Speaker 3: their people. 272 00:13:58,320 --> 00:14:01,720 Speaker 2: So there is no apples to apples because this is new. 273 00:14:02,160 --> 00:14:04,560 Speaker 3: But when you can pile all of the other things, 274 00:14:04,920 --> 00:14:08,920 Speaker 3: like University of Michigan, it's a huge college college base 275 00:14:09,000 --> 00:14:11,120 Speaker 3: in Michigan. That's why we were able to win Bernie 276 00:14:11,120 --> 00:14:14,400 Speaker 3: Sanders in twenty sixteen because of the college. So when 277 00:14:14,440 --> 00:14:17,320 Speaker 3: he was talking about free, free college for all, we 278 00:14:17,400 --> 00:14:18,520 Speaker 3: got a lot of numbers there. 279 00:14:18,600 --> 00:14:19,840 Speaker 2: So now they don't have debt. 280 00:14:19,880 --> 00:14:22,240 Speaker 3: It's only been about two undred thousand something people that 281 00:14:22,280 --> 00:14:24,080 Speaker 3: had some type of debt relief. So now you have 282 00:14:24,160 --> 00:14:26,600 Speaker 3: college students that don't have debt, I mean that are 283 00:14:26,760 --> 00:14:28,880 Speaker 3: that are still in debt. Now you have the union 284 00:14:29,000 --> 00:14:31,800 Speaker 3: some which you some not with you. Then now you 285 00:14:31,840 --> 00:14:35,040 Speaker 3: have a war going on with the strongest base in Michigan. 286 00:14:35,360 --> 00:14:37,560 Speaker 3: So there is no apples to apples. 287 00:14:37,840 --> 00:14:38,560 Speaker 1: And it's certainly not. 288 00:14:38,480 --> 00:14:43,600 Speaker 2: Comparing to Obama though we were. It's not the same thing. 289 00:14:43,880 --> 00:14:44,720 Speaker 2: It's not the same war. 290 00:14:45,400 --> 00:14:47,600 Speaker 1: Still war going on that we actually it's not still 291 00:14:48,040 --> 00:14:49,040 Speaker 1: Americans in that war. 292 00:14:49,320 --> 00:14:51,040 Speaker 2: And do you want to listen? 293 00:14:51,240 --> 00:14:53,600 Speaker 3: Do you want to listen and tell me it's not 294 00:14:53,600 --> 00:14:55,840 Speaker 3: the same. This is not about Americans in that war. 295 00:14:56,160 --> 00:14:58,600 Speaker 3: This is about Muslims saying you are blowing up their 296 00:14:58,680 --> 00:15:02,560 Speaker 3: family in Gaza. This is Palestinian. This is a Palestinian issue. 297 00:15:02,640 --> 00:15:05,320 Speaker 3: It's not just Americans in a war. It's a different war. 298 00:15:05,360 --> 00:15:07,120 Speaker 3: You're not listening to what these people are saying. 299 00:15:07,240 --> 00:15:08,560 Speaker 1: Oh yeah, listening. 300 00:15:12,240 --> 00:15:15,880 Speaker 3: Not a it's not a oh any war or just 301 00:15:15,960 --> 00:15:19,240 Speaker 3: anybody running or anybody. No, these are Muslims saying you're 302 00:15:19,240 --> 00:15:22,560 Speaker 3: not gonna blow up our people. These are Palestinians. It's 303 00:15:22,600 --> 00:15:25,240 Speaker 3: a whole different thing we done got in this Israel. 304 00:15:25,640 --> 00:15:28,800 Speaker 3: This Jewish versus Palestine. Business in that East side of 305 00:15:28,800 --> 00:15:31,000 Speaker 3: business ain't like no other. That's why it's been going 306 00:15:31,040 --> 00:15:32,440 Speaker 3: on for hundreds and hundreds of years. 307 00:15:34,280 --> 00:15:36,360 Speaker 1: Again, I just look at the voter turnout. I mean, 308 00:15:36,400 --> 00:15:36,840 Speaker 1: I look at this. 309 00:15:37,560 --> 00:15:39,680 Speaker 3: You're looking at how many races have? How many raceis 310 00:15:39,680 --> 00:15:43,360 Speaker 3: have you have you worked on I worked on the races. Okay, 311 00:15:43,520 --> 00:15:45,560 Speaker 3: well that matters, And I'm not saying that to be money. 312 00:15:45,880 --> 00:15:47,320 Speaker 3: But you have to know when you look. It's kind 313 00:15:47,320 --> 00:15:48,760 Speaker 3: of like if I give you a bunch of fruit 314 00:15:48,840 --> 00:15:50,640 Speaker 3: and I say, you know, tell me what you're looking at, 315 00:15:50,680 --> 00:15:52,360 Speaker 3: and you think something is an apricot and it really 316 00:15:52,440 --> 00:15:54,800 Speaker 3: might be an orange. You really have to know, like 317 00:15:54,920 --> 00:15:56,960 Speaker 3: how to look at the numbers. You can't just look 318 00:15:56,960 --> 00:15:58,320 Speaker 3: at the numbers and say, oh, I'm just looking at 319 00:15:58,400 --> 00:16:00,680 Speaker 3: voter turnout. I just pointed out, how look at twenty 320 00:16:00,720 --> 00:16:03,760 Speaker 3: twelve is different than now because Joe Biden actually was delivering. 321 00:16:03,480 --> 00:16:07,680 Speaker 1: Michigan respect work on campaigns as well too, and they've 322 00:16:07,680 --> 00:16:08,040 Speaker 1: given me. 323 00:16:08,000 --> 00:16:10,080 Speaker 3: Different But you're talking us up right, But you're talking 324 00:16:10,080 --> 00:16:12,360 Speaker 3: to somebody to actually help flip Michigan notes. You see 325 00:16:12,360 --> 00:16:14,160 Speaker 3: the difference. So I don't know who you're talking to 326 00:16:14,200 --> 00:16:15,880 Speaker 3: and what their bona fardes are. But I was the 327 00:16:15,920 --> 00:16:19,040 Speaker 3: only black person in Michigan in twenty sixteen when we won. 328 00:16:19,120 --> 00:16:22,040 Speaker 3: The five black people that Bernie Sanders met I introduced 329 00:16:22,080 --> 00:16:23,800 Speaker 3: them to. It's the reason why we got the two 330 00:16:23,880 --> 00:16:26,160 Speaker 3: three percent. The people that he met with and hugged with. 331 00:16:26,240 --> 00:16:28,240 Speaker 3: They use that in commercials all of the Michigan and 332 00:16:28,280 --> 00:16:29,880 Speaker 3: that's how we want. So you're talking to the lady 333 00:16:29,880 --> 00:16:32,640 Speaker 3: that actually flip Michigan. So it is level to this baby. 334 00:16:32,720 --> 00:16:35,480 Speaker 3: And what I'm telling you, Michigan, having one hundred thousand 335 00:16:35,480 --> 00:16:38,840 Speaker 3: people show up to say uncommitted is nothing to singze at, 336 00:16:39,080 --> 00:16:41,200 Speaker 3: and it has nothing to do with twenty twelve or anything. 337 00:16:41,680 --> 00:16:44,000 Speaker 1: But also the fact that Joe Biden brought out seven 338 00:16:44,080 --> 00:16:45,640 Speaker 1: hundred thousand people to vote for it. 339 00:16:46,240 --> 00:16:48,040 Speaker 2: Of course he did, of course he did. 340 00:16:50,200 --> 00:16:52,320 Speaker 1: It's got so many votes in the primary in Michigan. 341 00:16:52,560 --> 00:16:54,560 Speaker 3: Are you not listening? Are you having a hard time 342 00:16:54,600 --> 00:16:57,680 Speaker 3: to listen? It doesn't matter if he brought us seven 343 00:16:57,720 --> 00:17:00,200 Speaker 3: hundred thousand or not. Good for him. What I'm telling 344 00:17:00,280 --> 00:17:05,320 Speaker 3: you is Trump won Michigan by ten thousand votes, burning 345 00:17:05,400 --> 00:17:08,960 Speaker 3: one by sixteen thousand votes. It doesn't matter. And you 346 00:17:09,000 --> 00:17:11,400 Speaker 3: can get millions of people, but if I get ten 347 00:17:11,440 --> 00:17:14,119 Speaker 3: thousand more, five thousand more, it makes a difference to 348 00:17:14,200 --> 00:17:18,560 Speaker 3: when all of the elector the the delegates in that state. 349 00:17:19,119 --> 00:17:21,480 Speaker 3: And also in case you didn't hear me, they're gonna 350 00:17:21,520 --> 00:17:24,119 Speaker 3: do this in about ten other states. So if you 351 00:17:24,160 --> 00:17:26,960 Speaker 3: are pro Obama, I'm not here to be pro Biden 352 00:17:27,080 --> 00:17:28,960 Speaker 3: or pro I'm telling you what it is. I'm giving 353 00:17:29,000 --> 00:17:32,440 Speaker 3: you my analogy. So if you think that, okay, it 354 00:17:32,520 --> 00:17:35,000 Speaker 3: really don't matter and sit back, you're hurting President Biden. 355 00:17:35,359 --> 00:17:38,080 Speaker 3: If you're not taking this serious, you're hurting. You're hurting 356 00:17:38,080 --> 00:17:41,600 Speaker 3: that campaign. And it's the reason why President Biden said, well, 357 00:17:41,640 --> 00:17:43,640 Speaker 3: I think we're gonna have a ceaspire on Monday, because 358 00:17:43,640 --> 00:17:45,840 Speaker 3: he knowing people ain't playing with him. I'm not sitting 359 00:17:45,880 --> 00:17:48,360 Speaker 3: around here playing and having an opinion over now. I'm 360 00:17:48,359 --> 00:17:52,400 Speaker 3: giving you a political analysis based on what is happening, 361 00:17:52,720 --> 00:17:54,800 Speaker 3: real numbers, what I know to. 362 00:17:54,720 --> 00:17:57,280 Speaker 2: Be true, not what I want to be true. 363 00:17:57,960 --> 00:18:00,640 Speaker 3: You're looking at popular vote, you're looking at six hundred 364 00:18:00,680 --> 00:18:03,280 Speaker 3: thousand came out and I'm only a hundred thousand came out. Well, 365 00:18:03,280 --> 00:18:06,040 Speaker 3: it only take five thousand, only take ten thousand. It 366 00:18:06,040 --> 00:18:08,880 Speaker 3: only takes one or two percent of Republicans to get 367 00:18:08,880 --> 00:18:11,000 Speaker 3: one or two percent black people to come on their side, 368 00:18:11,080 --> 00:18:13,720 Speaker 3: and the whole thing can flip. If you've never worked 369 00:18:13,760 --> 00:18:16,240 Speaker 3: on a campaign, never worked in field, having had to 370 00:18:16,280 --> 00:18:17,720 Speaker 3: create a win number. It's gonna be hard for you 371 00:18:17,760 --> 00:18:19,320 Speaker 3: to understand. And I'm not saying that to be funny. 372 00:18:19,320 --> 00:18:20,560 Speaker 3: I'm just telling you to be true. 373 00:18:21,880 --> 00:18:24,639 Speaker 1: I respect you all of that. Hey, I respect your 374 00:18:24,640 --> 00:18:27,040 Speaker 1: resume tests. I've heard your resident MOSTI times. I respect 375 00:18:27,040 --> 00:18:27,440 Speaker 1: your resume. 376 00:18:28,040 --> 00:18:29,480 Speaker 3: I know I got to keep repeating it, and not 377 00:18:29,560 --> 00:18:31,200 Speaker 3: in a way to brag. I just want you to 378 00:18:31,240 --> 00:18:33,320 Speaker 3: know what you're looking at. And so if you, if 379 00:18:33,359 --> 00:18:37,360 Speaker 3: you if you support president of President Biden and anybody 380 00:18:37,400 --> 00:18:39,480 Speaker 3: that's saying, well, I'm looking at six hundred thousand that 381 00:18:39,480 --> 00:18:41,920 Speaker 3: came out for him, No, that's great, but you always 382 00:18:41,920 --> 00:18:44,080 Speaker 3: got to worry about the hundred thousand. You gotta worry 383 00:18:44,080 --> 00:18:46,400 Speaker 3: about the hundred thousand that made it a point. See, 384 00:18:46,480 --> 00:18:48,879 Speaker 3: let me sells those plain this. The one hundred thousand 385 00:18:48,920 --> 00:18:51,399 Speaker 3: that came out were already super voters. You know what 386 00:18:51,440 --> 00:18:52,280 Speaker 3: a supervoter is? 387 00:18:53,520 --> 00:18:55,520 Speaker 1: What is it super vot to somebody's voting the last 388 00:18:55,520 --> 00:18:57,240 Speaker 1: four elections? 389 00:18:57,280 --> 00:18:59,479 Speaker 2: Okay, great, great, great answer. 390 00:18:59,680 --> 00:19:02,440 Speaker 3: So these are already super voters, which means I'm gonna 391 00:19:02,440 --> 00:19:05,000 Speaker 3: make it in simple terms, I'm taking money out of 392 00:19:05,119 --> 00:19:07,840 Speaker 3: I'm taking people out of your hat there's only a 393 00:19:07,880 --> 00:19:09,840 Speaker 3: certain amount of people that's gonna vote. That's why when 394 00:19:09,840 --> 00:19:11,720 Speaker 3: people say I ain't vote nine to vote ninety voting, 395 00:19:11,760 --> 00:19:14,280 Speaker 3: they really wouldn't counting on you anyway. They only when 396 00:19:14,320 --> 00:19:17,000 Speaker 3: you go into the voter action network, the actual system 397 00:19:17,040 --> 00:19:20,000 Speaker 3: to create your win number for candidates, they're only counting 398 00:19:20,080 --> 00:19:23,199 Speaker 3: super voters. They're totally ignoring you. So people who are 399 00:19:23,240 --> 00:19:26,159 Speaker 3: saying don't count me, no worries. We were never counting you. 400 00:19:26,600 --> 00:19:28,639 Speaker 3: Cause we have to get the candidate to the door, 401 00:19:28,840 --> 00:19:30,800 Speaker 3: to the voter that we know is going to be consistent, 402 00:19:30,840 --> 00:19:33,040 Speaker 3: that voters that says I'm gonna vote no matter what. 403 00:19:33,400 --> 00:19:35,119 Speaker 3: And all we have to do is get enough of 404 00:19:35,119 --> 00:19:39,239 Speaker 3: those people to the door to win fifty or more percent. So, 405 00:19:39,359 --> 00:19:42,920 Speaker 3: given small numbers, if I have ten thousand super voters, 406 00:19:43,440 --> 00:19:46,879 Speaker 3: remember these one hundred thousand were super voters, and now 407 00:19:47,080 --> 00:19:50,919 Speaker 3: you've taken five thousand ozero, five thousand super voters that 408 00:19:51,359 --> 00:19:54,560 Speaker 3: went out their way, put their clothes on, took off work, 409 00:19:55,440 --> 00:19:59,760 Speaker 3: and drove up to the polls checked uncommitted, not hash 410 00:19:59,800 --> 00:20:03,600 Speaker 3: check bagging, not talking on Twitter, not landing a plane, 411 00:20:03,920 --> 00:20:08,159 Speaker 3: but literally checked uncommitted. We are taking that or not? 412 00:20:08,280 --> 00:20:12,760 Speaker 3: We They have taken from that supervoter bucket, which means 413 00:20:12,760 --> 00:20:16,040 Speaker 3: it is a threat even if six hundred thousand showed up. 414 00:20:16,320 --> 00:20:19,000 Speaker 3: I've now taken out that bucket, and it's very hard 415 00:20:19,040 --> 00:20:23,520 Speaker 3: to replace. Ten thousand are one hundred thousand because now 416 00:20:23,560 --> 00:20:25,280 Speaker 3: I got to replace. I got to convince these one 417 00:20:25,359 --> 00:20:28,200 Speaker 3: hundred thousand to come back and then some because I 418 00:20:28,280 --> 00:20:30,400 Speaker 3: need to make up for the difference, and I need 419 00:20:30,440 --> 00:20:32,800 Speaker 3: to hope that that hundred thousand don't flip on the 420 00:20:32,800 --> 00:20:35,040 Speaker 3: other side. Have you ever heard the term it's hard 421 00:20:35,080 --> 00:20:37,720 Speaker 3: to find a good man, not even a good black man, 422 00:20:37,800 --> 00:20:38,360 Speaker 3: just a good man. 423 00:20:38,400 --> 00:20:39,040 Speaker 2: Are a good woman? 424 00:20:39,760 --> 00:20:40,920 Speaker 1: Well, yeah, of course the same. 425 00:20:41,440 --> 00:20:45,240 Speaker 3: Okay, that's the same thing, bab So it's not oh, 426 00:20:45,280 --> 00:20:47,240 Speaker 3: but it's just one hundred th No, that one hundred 427 00:20:47,280 --> 00:20:49,720 Speaker 3: thousand can flip you, turn you upside down. And we 428 00:20:49,840 --> 00:20:52,520 Speaker 3: know this based upon the fact that it only took 429 00:20:52,640 --> 00:20:56,119 Speaker 3: ten thousand to hand that entire state over to Trump. 430 00:20:56,440 --> 00:21:00,199 Speaker 3: You cannot look at the populace because that's not how 431 00:21:00,200 --> 00:21:03,800 Speaker 3: it works. It matters what counties people are voting in 432 00:21:03,880 --> 00:21:05,200 Speaker 3: all of that matter, right. 433 00:21:05,200 --> 00:21:07,520 Speaker 1: Three main counties and looking at the comb open and 434 00:21:07,520 --> 00:21:09,760 Speaker 1: Wayne and they. 435 00:21:10,440 --> 00:21:13,760 Speaker 3: And Dearborn did well Dearborn which county. So I appreciate 436 00:21:13,760 --> 00:21:19,440 Speaker 3: who at the numbers, but I have to say said. 437 00:21:20,400 --> 00:21:22,840 Speaker 1: Part of Wayne County is not open county. 438 00:21:23,400 --> 00:21:26,600 Speaker 3: Yes, it's like a merge over in Detroit and you know, 439 00:21:26,840 --> 00:21:31,760 Speaker 3: uh in that area. And notice again Detroit seventy black 440 00:21:32,280 --> 00:21:35,479 Speaker 3: with no black representation, where she the sleeve got a 441 00:21:35,560 --> 00:21:39,280 Speaker 3: cold base. Five black people ring against her, none of 442 00:21:39,280 --> 00:21:43,480 Speaker 3: them can beat her. And she has the a pack, 443 00:21:43,600 --> 00:21:47,240 Speaker 3: the Jewish pack, that spent millions and millions of dollars 444 00:21:47,960 --> 00:21:50,200 Speaker 3: to get office and it still didn't work. Then people 445 00:21:50,200 --> 00:21:54,680 Speaker 3: are committed to be uncommitted. I get the banter, I 446 00:21:54,880 --> 00:21:57,679 Speaker 3: guess because there's so much opinion that goes on everywhere. 447 00:21:57,680 --> 00:22:00,320 Speaker 3: People think that I'm just giving opinion and just yeah, 448 00:22:00,320 --> 00:22:00,960 Speaker 3: but it still was this. 449 00:22:01,040 --> 00:22:02,240 Speaker 2: I'm not here to debate your baby. 450 00:22:02,440 --> 00:22:05,840 Speaker 3: What I'm telling you is that Joe Biden and the 451 00:22:05,880 --> 00:22:09,800 Speaker 3: Democrats cannot ignore one hundred thousand people that went up 452 00:22:09,840 --> 00:22:12,160 Speaker 3: to the polls to make sure they are a problem. 453 00:22:13,080 --> 00:22:15,760 Speaker 3: And one hundred thousand can absolutely be a problem. It's 454 00:22:15,800 --> 00:22:22,640 Speaker 3: called organizing. It's called organizing. They're raising money, they're giving 455 00:22:22,680 --> 00:22:26,520 Speaker 3: people to the polls, They're they're expanding it in various States. 456 00:22:27,560 --> 00:22:29,720 Speaker 3: So I people want to sit back on that high 457 00:22:29,760 --> 00:22:32,240 Speaker 3: horse and say, oh, I'm not worried about it. It's 458 00:22:32,320 --> 00:22:34,320 Speaker 3: just the same as twenty twelve. Tho, it's not the 459 00:22:34,359 --> 00:22:36,159 Speaker 3: same as twenty twelve. When you mean a war was 460 00:22:36,200 --> 00:22:38,320 Speaker 3: going on Americans, it's ain't about no Americans. This is 461 00:22:38,320 --> 00:22:42,360 Speaker 3: Palestinians versus Jewish. You look, you're this's a different type 462 00:22:42,359 --> 00:22:47,240 Speaker 3: of war. Baby, you're realizing you're talking to a group 463 00:22:47,280 --> 00:22:50,199 Speaker 3: of people that felt so strongly about the shit that 464 00:22:50,240 --> 00:22:54,240 Speaker 3: they went in the drove a plane through the twin towers. 465 00:22:54,280 --> 00:22:54,440 Speaker 1: Right. 466 00:22:54,480 --> 00:22:55,560 Speaker 2: You do realize that, don't you. 467 00:22:56,000 --> 00:22:58,600 Speaker 1: We're interested here so that you said. 468 00:22:58,440 --> 00:23:00,200 Speaker 3: I don't think you're getting it though, see that east 469 00:23:00,200 --> 00:23:02,280 Speaker 3: side that when you start giving them east Siders, that's 470 00:23:02,320 --> 00:23:02,879 Speaker 3: totally different. 471 00:23:02,920 --> 00:23:03,880 Speaker 2: They believe in this shit. 472 00:23:04,000 --> 00:23:08,280 Speaker 3: Somebody literally burn themselves up, set themselves up to be 473 00:23:08,440 --> 00:23:11,640 Speaker 3: burned up this last Sunday saying free palsign this shit 474 00:23:11,760 --> 00:23:15,280 Speaker 3: hit different. Our community don't do this. So no disrespect, 475 00:23:15,359 --> 00:23:16,920 Speaker 3: but we don't do this. We let them play in 476 00:23:16,960 --> 00:23:18,680 Speaker 3: our face and say one thing and come back and 477 00:23:18,720 --> 00:23:21,040 Speaker 3: say another. No, baby, they're not putting these mustherles, ain't 478 00:23:21,080 --> 00:23:26,040 Speaker 3: playing So that Trump is worse and all that that 479 00:23:26,080 --> 00:23:30,520 Speaker 3: shit don't mean nothing to them. Pay attention. Look, and yes, 480 00:23:30,560 --> 00:23:33,080 Speaker 3: Trump would do a Muslim band, Yes, And they said, 481 00:23:33,080 --> 00:23:34,240 Speaker 3: we'll deal with that when we deal with that. 482 00:23:34,359 --> 00:23:34,720 Speaker 2: Right now. 483 00:23:34,720 --> 00:23:36,720 Speaker 3: They gave they both to Joe Biden, and they're asking 484 00:23:36,920 --> 00:23:39,720 Speaker 3: for Joe Biden to do something. And they ain't reading 485 00:23:39,760 --> 00:23:42,040 Speaker 3: books about it, and they ain't landing planes about it. 486 00:23:42,080 --> 00:23:44,680 Speaker 3: They ain't talking about they organizing about They people to 487 00:23:44,720 --> 00:23:47,600 Speaker 3: go to the polls and show here we are. 488 00:23:50,280 --> 00:23:51,160 Speaker 2: That's the difference. 489 00:23:54,920 --> 00:23:55,520 Speaker 1: So let's see. 490 00:23:56,480 --> 00:23:58,199 Speaker 3: Okay, So when you're comparing, because I know you're over 491 00:23:58,240 --> 00:23:59,880 Speaker 3: there trying to find numbers to compare. 492 00:24:00,040 --> 00:24:02,120 Speaker 1: Already, I'm a number up. Actually, look at some other stuff. 493 00:24:02,119 --> 00:24:04,359 Speaker 1: I want to see hi ad te Leed's district and 494 00:24:04,400 --> 00:24:07,159 Speaker 1: see us capturing dear born in the area where it's 495 00:24:07,160 --> 00:24:10,800 Speaker 1: definitely highly Muslim, highly Palestinian, highly Arab. 496 00:24:11,119 --> 00:24:13,640 Speaker 3: It's highly black though too, because Detroit is seventy percent black. 497 00:24:13,640 --> 00:24:15,399 Speaker 3: That's why five black people ran against her and she. 498 00:24:15,480 --> 00:24:17,600 Speaker 1: Beat them moment. That's a section of Detroit. It's got 499 00:24:17,640 --> 00:24:19,480 Speaker 1: all of Detroit though, That's why I was asking about that. 500 00:24:19,680 --> 00:24:23,000 Speaker 3: I know that, but it's still but still look and see, yeah, 501 00:24:23,000 --> 00:24:25,040 Speaker 3: I get it. Of course, everything's a section of everything. 502 00:24:25,160 --> 00:24:25,320 Speaker 4: Love. 503 00:24:25,400 --> 00:24:27,720 Speaker 2: What I'm trying to tell you is Michigan period. 504 00:24:27,760 --> 00:24:31,560 Speaker 3: Both of their representatives, both of their Congress representatives are Palestinian. 505 00:24:31,600 --> 00:24:33,160 Speaker 2: They don't have black representation at all. 506 00:24:33,720 --> 00:24:36,119 Speaker 3: Go look at the pack that brought that Bakari Sellers 507 00:24:36,160 --> 00:24:39,119 Speaker 3: started with the Jewish community to try to get a 508 00:24:39,119 --> 00:24:41,920 Speaker 3: black person in and they still lost because Sheiita Salib's 509 00:24:42,000 --> 00:24:42,760 Speaker 3: on the ground game. 510 00:24:42,800 --> 00:24:43,600 Speaker 2: It's tough. 511 00:24:44,040 --> 00:24:45,840 Speaker 1: So that takes care of part of Detroit. Where about 512 00:24:45,840 --> 00:24:47,600 Speaker 1: the other section of Detroit that's not in her district. 513 00:24:48,080 --> 00:24:48,960 Speaker 2: It doesn't really matter. 514 00:24:49,000 --> 00:24:51,160 Speaker 3: Baby, She's the congress person and she got one hundred 515 00:24:51,160 --> 00:24:53,280 Speaker 3: thousand some people show up to say hell no, so 516 00:24:53,320 --> 00:24:55,720 Speaker 3: we're just talking just to be talking. At the end 517 00:24:55,760 --> 00:24:57,440 Speaker 3: of the day, they spend millions of dollars to try 518 00:24:57,480 --> 00:24:58,800 Speaker 3: to get her out and she won. You know why, 519 00:24:58,840 --> 00:24:59,960 Speaker 3: because she knows how to organize. 520 00:25:00,400 --> 00:25:00,560 Speaker 2: All. 521 00:25:00,560 --> 00:25:02,639 Speaker 3: The rest of this is just taught, not being mean. 522 00:25:02,720 --> 00:25:04,200 Speaker 3: I'm just saying, well, it has no relevance to what 523 00:25:04,240 --> 00:25:07,280 Speaker 3: I'm talking about today. When I'm talking about packs matter, 524 00:25:07,600 --> 00:25:10,240 Speaker 3: and that the live saying don't have a pack doesn't matter. 525 00:25:10,440 --> 00:25:13,400 Speaker 3: The live saying immigrants don't have packs to get suff done. 526 00:25:13,560 --> 00:25:15,919 Speaker 3: The live about saying all you need to do is 527 00:25:15,960 --> 00:25:18,280 Speaker 3: just sit home and not say nothing and not be organized. 528 00:25:18,320 --> 00:25:20,680 Speaker 2: It's not true. That's the main idea of this conversation. 529 00:25:24,680 --> 00:25:27,359 Speaker 3: You had an elected official with Shiita salieb is the 530 00:25:27,440 --> 00:25:30,880 Speaker 3: actual elected congress person that went against a sitting president, 531 00:25:30,960 --> 00:25:34,600 Speaker 3: her own Democrat sitting president tell people to show up 532 00:25:34,640 --> 00:25:37,320 Speaker 3: and vote no commitment. That has not happened. You can 533 00:25:37,400 --> 00:25:39,600 Speaker 3: never get a black congress person to do that. Ever, 534 00:25:39,920 --> 00:25:42,359 Speaker 3: they will never go against the sitting president. This is 535 00:25:42,400 --> 00:25:45,520 Speaker 3: a different time. They mean that shit. Palistin is a 536 00:25:45,600 --> 00:25:48,480 Speaker 3: dead it's about a ceasefire, and they're not They're gonna 537 00:25:48,560 --> 00:25:50,360 Speaker 3: use every resource and every tool they have to get 538 00:25:50,359 --> 00:25:50,840 Speaker 3: his attention. 539 00:25:51,040 --> 00:25:52,400 Speaker 2: If it doesn't work, it doesn't work. 540 00:25:52,480 --> 00:25:54,240 Speaker 3: But in the meantime, they're gonna use every tool and 541 00:25:54,280 --> 00:25:55,639 Speaker 3: it's not just gonna be hashtags. 542 00:25:56,720 --> 00:25:58,159 Speaker 1: And that's all I think. That's why I fall down, 543 00:25:58,280 --> 00:26:00,320 Speaker 1: was I just don't think it's working. I think done 544 00:26:00,359 --> 00:26:02,840 Speaker 1: some stuff. I mean, if it's working that much that 545 00:26:03,080 --> 00:26:05,320 Speaker 1: I just don't see the optics of yeah, we'll have 546 00:26:05,359 --> 00:26:07,280 Speaker 1: a we'll have a ceasefire. Will I'm looking at high 547 00:26:07,320 --> 00:26:09,480 Speaker 1: stream right now and I just gave you. 548 00:26:09,600 --> 00:26:11,600 Speaker 2: I just gave you. I just gave you. I mean, 549 00:26:11,640 --> 00:26:13,080 Speaker 2: you're saying it's not working, but I just gave you 550 00:26:13,160 --> 00:26:13,639 Speaker 2: the numbers. 551 00:26:13,920 --> 00:26:15,040 Speaker 3: So if you want to have a way, if you 552 00:26:15,080 --> 00:26:17,159 Speaker 3: want to if you want to debate the data, if 553 00:26:17,200 --> 00:26:19,240 Speaker 3: you want to debate the data on how it only 554 00:26:19,280 --> 00:26:22,240 Speaker 3: takes ten thousand people to lose a state to lose 555 00:26:22,359 --> 00:26:25,080 Speaker 3: Michigan and they literally had a hundred thousand show up, 556 00:26:25,119 --> 00:26:26,320 Speaker 3: then baby, ain't nothing I can do for you. 557 00:26:26,400 --> 00:26:27,320 Speaker 2: I'm telling you the data. 558 00:26:28,040 --> 00:26:30,000 Speaker 1: You can have to talk data. We've been talking data. 559 00:26:30,080 --> 00:26:31,120 Speaker 1: You're talking one something. 560 00:26:32,400 --> 00:26:34,479 Speaker 3: For you to say, so for you to say it's working, 561 00:26:34,560 --> 00:26:36,679 Speaker 3: to get his intention and it's always working. That's why 562 00:26:36,680 --> 00:26:40,960 Speaker 3: everybody talking about it today. That's why always working. What 563 00:26:41,119 --> 00:26:44,240 Speaker 3: ain't working is somebody sitting at home and hash tagging 564 00:26:44,320 --> 00:26:45,720 Speaker 3: and not doing anything. 565 00:26:47,080 --> 00:26:47,320 Speaker 2: Working. 566 00:26:48,520 --> 00:26:51,639 Speaker 3: Way more people is people who didn't vote in Michigan, 567 00:26:51,680 --> 00:26:54,280 Speaker 3: the people that voted, whether it was for Biden, no 568 00:26:54,400 --> 00:26:58,920 Speaker 3: commitment or Dean Phillips. Way more people vote, didn't vote. 569 00:26:59,080 --> 00:27:04,200 Speaker 3: That's that's always the nobody is helping. I'm just not voting, Okay, cool, 570 00:27:04,560 --> 00:27:07,080 Speaker 3: That makes it easier for me to get my people out. 571 00:27:09,720 --> 00:27:13,280 Speaker 3: It's not the power you know, power tool that people 572 00:27:13,359 --> 00:27:16,000 Speaker 3: think it is. The power tool is why don't you 573 00:27:16,080 --> 00:27:20,520 Speaker 3: get people to go vote, write in reparations, Go write 574 00:27:20,560 --> 00:27:22,639 Speaker 3: it in so you could say, hey, it's sixty thousand 575 00:27:22,680 --> 00:27:24,639 Speaker 3: of us here, we're only going to get stronger. So 576 00:27:24,800 --> 00:27:30,000 Speaker 3: you can think it's not working. I know better though, I. 577 00:27:30,119 --> 00:27:31,800 Speaker 1: Hear you, Like I said, both, look at that data. 578 00:27:31,880 --> 00:27:34,240 Speaker 1: You're analyzing it one way. I'm analyzing a different way. 579 00:27:34,560 --> 00:27:37,080 Speaker 3: No, we're not analyzing it. I'm gonna be funny. I'm 580 00:27:37,119 --> 00:27:38,720 Speaker 3: not saying this to be mean. We're not analyzing it 581 00:27:38,800 --> 00:27:40,800 Speaker 3: no way. But because you've never worked on a campaign, 582 00:27:41,000 --> 00:27:43,399 Speaker 3: so we're not even. We're not even you're you're just 583 00:27:43,520 --> 00:27:46,880 Speaker 3: looking windows shopping. I'm telling you what I did in Michigan. 584 00:27:46,920 --> 00:27:49,320 Speaker 3: I'm telling you what I know. Not being funny, but 585 00:27:49,400 --> 00:27:51,520 Speaker 3: we're not the same. I know we both have a microphone. 586 00:27:51,720 --> 00:27:53,760 Speaker 3: I know it seems like we're the same. But you're 587 00:27:53,800 --> 00:27:55,879 Speaker 3: not an analyst, not at all. Because in order to 588 00:27:55,920 --> 00:27:58,959 Speaker 3: be an analyst, it will require you having some institutional knowledge. 589 00:27:59,160 --> 00:28:00,920 Speaker 3: It requires you having to work on a campaign and 590 00:28:01,000 --> 00:28:03,040 Speaker 3: know what a number, know what those numbers mean that 591 00:28:03,119 --> 00:28:05,200 Speaker 3: you're looking at. You're just looking at it. You're just 592 00:28:05,240 --> 00:28:07,520 Speaker 3: looking at five apples versus five apples and saying, HEO, 593 00:28:07,600 --> 00:28:09,639 Speaker 3: they have five apples in twenty twelve, so what's we 594 00:28:09,760 --> 00:28:12,240 Speaker 3: deal five? So no, we're not analyzing the same baby, 595 00:28:12,240 --> 00:28:14,520 Speaker 3: because I am an analyst. Whether people like it or not, 596 00:28:14,680 --> 00:28:18,960 Speaker 3: I am. I've worked over fifty campaign I've built in 597 00:28:19,040 --> 00:28:20,920 Speaker 3: the so we ain't looking at it the same. 598 00:28:20,960 --> 00:28:23,919 Speaker 2: Baby. I'm educating you and you're deciding I take the knowledge, 599 00:28:23,920 --> 00:28:25,240 Speaker 2: and that's fine. I'm not gonna try to convince you. 600 00:28:26,600 --> 00:28:28,240 Speaker 1: I take your education. I take care where I can 601 00:28:28,320 --> 00:28:30,359 Speaker 1: get it. You know what I'm saying. I love Charlomagne 602 00:28:30,359 --> 00:28:31,000 Speaker 1: has a question. 603 00:28:30,840 --> 00:28:33,440 Speaker 3: Don't take from everybody because some people been on. Don't 604 00:28:33,440 --> 00:28:34,760 Speaker 3: taking everybody because some people been lying. 605 00:28:34,920 --> 00:28:39,120 Speaker 1: Okay, let mebody who altruisms, you know, altruisms like that? 606 00:28:39,160 --> 00:28:41,680 Speaker 1: Excuse me? I said, I listen, I listen, I listen. 607 00:28:42,200 --> 00:28:44,720 Speaker 3: You don't want so you don't want to say or 608 00:28:45,040 --> 00:28:46,720 Speaker 3: the reason why I'm pushing back on that not to 609 00:28:46,800 --> 00:28:50,480 Speaker 3: be h you know, both for or whatever. 610 00:28:50,600 --> 00:28:53,200 Speaker 2: But we're not organing, we're not analyzing the same. See. 611 00:28:53,200 --> 00:28:53,760 Speaker 2: That's the thing. 612 00:28:55,240 --> 00:28:57,680 Speaker 3: If I if I'm a doctor and you're not a doctor, 613 00:28:57,920 --> 00:28:59,640 Speaker 3: and we're both looking at a body and saying, how 614 00:28:59,680 --> 00:29:01,560 Speaker 3: do we do this heart surgery? Oh well, you know, 615 00:29:01,640 --> 00:29:06,680 Speaker 3: we're just looking at analyzing the different because you literally 616 00:29:06,720 --> 00:29:08,800 Speaker 3: have never provided, never done surgery. 617 00:29:08,960 --> 00:29:09,720 Speaker 2: It's not the same. 618 00:29:10,520 --> 00:29:13,600 Speaker 3: And because everybody has an opinion on it, and everybody 619 00:29:13,640 --> 00:29:16,200 Speaker 3: clicks this damn mic and everybody goes on and on 620 00:29:16,360 --> 00:29:19,320 Speaker 3: it thing because they looked it up. And that's why 621 00:29:19,400 --> 00:29:21,920 Speaker 3: we have the misinformation that's going on now in our community. 622 00:29:22,120 --> 00:29:24,440 Speaker 3: It actually takes you working on the damn campaign. 623 00:29:24,840 --> 00:29:28,520 Speaker 2: It really does. Whether people are boxing or not, you 624 00:29:28,640 --> 00:29:30,720 Speaker 2: have to go get that experience. 625 00:29:31,080 --> 00:29:33,080 Speaker 3: It is not just from listening to people that people 626 00:29:33,080 --> 00:29:34,920 Speaker 3: be listening to who ain't never worked on the campaign 627 00:29:36,920 --> 00:29:40,160 Speaker 3: surging about heart surgery and never perform heart surgery. You 628 00:29:40,320 --> 00:29:42,240 Speaker 3: simply have to work on these campaigns and know what 629 00:29:42,320 --> 00:29:45,040 Speaker 3: they hell you're talking about. They can read a million books. 630 00:29:45,200 --> 00:29:46,800 Speaker 3: I got a lot of friends in here that love man. 631 00:29:46,840 --> 00:29:50,360 Speaker 3: They got that book Game down. I was reading and 632 00:29:50,640 --> 00:29:53,640 Speaker 3: let me take it from page twenty eight said until 633 00:29:53,720 --> 00:29:57,280 Speaker 3: your ask it on the ground and politics on the ground. 634 00:29:57,280 --> 00:29:59,840 Speaker 2: They're talking about me. I'm worked on somebody campaign. 635 00:30:00,120 --> 00:30:02,120 Speaker 3: Go know what it means to be up from eight 636 00:30:02,200 --> 00:30:07,320 Speaker 3: am to two am working, knocking on doors, having conversations, 637 00:30:07,400 --> 00:30:11,080 Speaker 3: flip over, getting people on yourself, organizing a city you 638 00:30:11,120 --> 00:30:12,760 Speaker 3: ain't never lived in. You're gonna have to do that 639 00:30:12,800 --> 00:30:15,320 Speaker 3: about fifty times before you start thinking you can analyze 640 00:30:15,360 --> 00:30:16,360 Speaker 3: something the way I analyze it. 641 00:30:16,440 --> 00:30:19,680 Speaker 2: That's just the truth. I did that in Flint in 642 00:30:19,720 --> 00:30:26,240 Speaker 2: twenty sixteen. My mother was dying of cancer. I talked 643 00:30:26,240 --> 00:30:27,120 Speaker 2: to you on a daily basis. 644 00:30:27,160 --> 00:30:28,840 Speaker 3: I had Android before at an iPhone just so I 645 00:30:28,880 --> 00:30:31,440 Speaker 3: could FaceTime on a daily basis. While Michigan was going on, 646 00:30:31,560 --> 00:30:34,000 Speaker 3: I had to go back and take my mother off 647 00:30:34,040 --> 00:30:36,240 Speaker 3: life support and then go back on the campaign trail. 648 00:30:36,280 --> 00:30:38,920 Speaker 3: So we ain't analyzing it the same. We can't possibly 649 00:30:38,960 --> 00:30:42,240 Speaker 3: be analyzing it the same because we don't have the 650 00:30:42,280 --> 00:30:44,520 Speaker 3: same experience, and in order to be an analyst, it 651 00:30:44,600 --> 00:30:47,280 Speaker 3: requires some institutional knowledge in addition to your experience. 652 00:30:48,240 --> 00:30:49,760 Speaker 2: I watched Bernie flip that state. 653 00:30:50,040 --> 00:30:51,360 Speaker 3: By the way, if he had to go back now, 654 00:30:51,400 --> 00:30:54,680 Speaker 3: he would lose because he did not stay engaged with 655 00:30:54,840 --> 00:30:56,240 Speaker 3: any of those people in Flint. 656 00:30:56,800 --> 00:30:58,760 Speaker 2: I did, though. You know who told me Eric May's past. 657 00:30:58,800 --> 00:31:00,720 Speaker 3: The reason why I was able to post it before 658 00:31:00,760 --> 00:31:03,720 Speaker 3: the media posted, Danielle Green. You know who Danielle Green 659 00:31:03,880 --> 00:31:06,560 Speaker 3: is the one that I introduced him to Bernie Sanders, 660 00:31:06,680 --> 00:31:09,320 Speaker 3: who we never called back after that introduction. We're still 661 00:31:09,400 --> 00:31:13,400 Speaker 3: good friends. That's what organizing is. So if he had 662 00:31:13,440 --> 00:31:16,120 Speaker 3: to go back right now, wouldn't nobody be supporting Bernie Sanders? 663 00:31:16,240 --> 00:31:16,600 Speaker 2: Sanders. 664 00:31:16,760 --> 00:31:19,320 Speaker 3: If you like what you heard on Straight Shot No Chaser, 665 00:31:19,400 --> 00:31:21,920 Speaker 3: please subscribe and drop a five star review and tell 666 00:31:21,960 --> 00:31:24,280 Speaker 3: a friend. Straight Shot No Chaser is a production of 667 00:31:24,320 --> 00:31:27,800 Speaker 3: the Black Effect podcast Network in iHeartRadio ANTILM figure Out 668 00:31:27,840 --> 00:31:30,800 Speaker 3: and I'd like to thank our producer editor mixer Dwayne 669 00:31:30,840 --> 00:31:33,640 Speaker 3: Crumper and our executive producer Charlotta Magne to God. For 670 00:31:33,760 --> 00:31:38,560 Speaker 3: more podcasts from iHeartRadio, visit the iHeartRadio app, Apple Podcasts, 671 00:31:38,800 --> 00:31:40,280 Speaker 3: or wherever you get your podcasts.