1 00:00:01,080 --> 00:00:05,359 Speaker 1: It's Nightside with Dan Ray. I'm telling you PC Boston's 2 00:00:05,400 --> 00:00:06,040 Speaker 1: new radio. 3 00:00:06,640 --> 00:00:11,360 Speaker 2: Well, good evening, everybody, and welcome on in to the 4 00:00:11,600 --> 00:00:16,440 Speaker 2: Nightside Studio in Medford. My name is Dan Ray. I 5 00:00:16,480 --> 00:00:20,239 Speaker 2: am in studio with Well Rob's in the other room, 6 00:00:20,400 --> 00:00:23,800 Speaker 2: Rob Brooks, the producer of the program. This is the 7 00:00:23,880 --> 00:00:26,720 Speaker 2: first time I have been in this studio doing a show, 8 00:00:26,840 --> 00:00:29,520 Speaker 2: I think for at least two to three years. Rob. 9 00:00:29,720 --> 00:00:35,319 Speaker 2: I am here because of a minor emergency back at 10 00:00:35,360 --> 00:00:39,280 Speaker 2: my remote location, and we will just let it go 11 00:00:39,479 --> 00:00:42,959 Speaker 2: at that. Everything is under control. But it has been 12 00:00:43,040 --> 00:00:47,760 Speaker 2: kind of a wild day for your congenial host, and 13 00:00:47,800 --> 00:00:50,360 Speaker 2: I hope that you will take that into consideration as 14 00:00:50,360 --> 00:00:55,200 Speaker 2: we conduct our program tonight. We have four really interesting 15 00:00:55,240 --> 00:00:58,320 Speaker 2: guests in the first hour, as we always do, but 16 00:00:58,800 --> 00:01:03,160 Speaker 2: the first guest is a friend of I don't want 17 00:01:03,160 --> 00:01:06,600 Speaker 2: to say how many years. It's forty years, it's plus 18 00:01:06,640 --> 00:01:08,600 Speaker 2: forty years. I knew when he had a small little 19 00:01:08,640 --> 00:01:13,560 Speaker 2: restaurant on Newberry Street. My friend Steve d Philippo, the 20 00:01:13,600 --> 00:01:18,160 Speaker 2: owner of Davio's, is here tonight. He's he's not in studio, 21 00:01:19,000 --> 00:01:22,560 Speaker 2: but we have him with us. Steve d Philippo, Welcome back. 22 00:01:22,560 --> 00:01:23,280 Speaker 2: To Night Side. 23 00:01:23,959 --> 00:01:26,600 Speaker 3: I can't believe you're finally back to the studio and 24 00:01:26,640 --> 00:01:29,320 Speaker 3: you don't have me in the studio. I mean, Dan, 25 00:01:29,480 --> 00:01:31,760 Speaker 3: I could have brought you meatball, I could have brought 26 00:01:31,840 --> 00:01:34,720 Speaker 3: you I could have made you a chicken palm, which 27 00:01:34,800 --> 00:01:37,400 Speaker 3: is your favorite thing in the world. You know. I mean, 28 00:01:38,160 --> 00:01:39,320 Speaker 3: I just can't believe it. 29 00:01:39,720 --> 00:01:40,240 Speaker 4: You're back. 30 00:01:40,400 --> 00:01:41,520 Speaker 3: I will talk him back. 31 00:01:42,000 --> 00:01:43,720 Speaker 2: Well, I'm not. I'm back for tonight. 32 00:01:44,400 --> 00:01:44,760 Speaker 3: Okay. 33 00:01:44,920 --> 00:01:49,200 Speaker 2: I ended up having stopping like on the side of 34 00:01:49,400 --> 00:01:51,680 Speaker 2: not on the side of the road, but I had 35 00:01:51,680 --> 00:01:56,160 Speaker 2: a burger at a burger joint because that's the only 36 00:01:57,080 --> 00:02:01,120 Speaker 2: I left. Yeah, it's been an afternoon. The next time 37 00:02:01,160 --> 00:02:03,680 Speaker 2: I see you, I will I'll explain to you. But 38 00:02:03,720 --> 00:02:05,600 Speaker 2: we got We're here to talk about something much more 39 00:02:05,640 --> 00:02:09,799 Speaker 2: important once again. You and our pale. You're a really 40 00:02:09,800 --> 00:02:13,040 Speaker 2: good pal Matt Light a Patriots Hall of Famer as 41 00:02:13,080 --> 00:02:16,480 Speaker 2: far as he should be in the football Hall of Fame. 42 00:02:17,280 --> 00:02:22,799 Speaker 2: You guys are back with a tremendous, tremendous opportunity for 43 00:02:23,160 --> 00:02:27,320 Speaker 2: Night Side listeners or for anyone else to perhaps go 44 00:02:27,440 --> 00:02:30,960 Speaker 2: to the Super Bowl and live it up. This is 45 00:02:31,040 --> 00:02:37,480 Speaker 2: an amazing, an amazing prize. Let us start. Okay, First 46 00:02:37,560 --> 00:02:44,680 Speaker 2: of all, we're talking about the beneficiaries will be the 47 00:02:44,800 --> 00:02:52,280 Speaker 2: Ron Burton Training Village and the Light Foundation. I assume, okay, 48 00:02:53,720 --> 00:02:58,280 Speaker 2: but let's talk about what someone is going to win, 49 00:02:58,560 --> 00:03:03,760 Speaker 2: because I'm blown away by what is what is in play. 50 00:03:04,800 --> 00:03:06,919 Speaker 2: We'll start off with two tickets to the Super Bowl, 51 00:03:07,040 --> 00:03:09,919 Speaker 2: Mister d Philippo, if you would take it from here, 52 00:03:10,120 --> 00:03:10,600 Speaker 2: you get. 53 00:03:10,520 --> 00:03:13,040 Speaker 3: Yes, Well, first of all, you get the tickets, which 54 00:03:13,200 --> 00:03:15,799 Speaker 3: you know they're going for about ten grand apiece right now, 55 00:03:16,120 --> 00:03:18,760 Speaker 3: you know, unbelievable. Then well, first of all, you get 56 00:03:18,800 --> 00:03:22,280 Speaker 3: a two thousand dollars stipend for your airfare. Then you 57 00:03:22,400 --> 00:03:26,959 Speaker 3: get three nights of a hotel. There, you get Saturday night, 58 00:03:27,520 --> 00:03:29,280 Speaker 3: you're gonna go out to dinner with me and Matt. 59 00:03:29,320 --> 00:03:32,519 Speaker 3: We're gonna take you out to my favorite steakhouse in 60 00:03:32,560 --> 00:03:35,640 Speaker 3: the country. It is Harris Steakhouse in San Francisco. It's 61 00:03:35,680 --> 00:03:38,640 Speaker 3: absolutely incredible. So you could have dinner with us. We're 62 00:03:38,640 --> 00:03:41,520 Speaker 3: gonna have a great time. And then the next morning 63 00:03:41,720 --> 00:03:45,480 Speaker 3: you go to Guy Fiedi. He's having a tailgate party 64 00:03:45,480 --> 00:03:48,400 Speaker 3: that will blow your mind. I went to it back 65 00:03:49,480 --> 00:03:52,400 Speaker 3: last time, I think nineteen I was there. It is 66 00:03:52,720 --> 00:03:56,240 Speaker 3: it's open bar, the food. I mean, I'm gonna tell 67 00:03:56,280 --> 00:03:59,400 Speaker 3: you how good the food is. It is absolutely incredible. 68 00:03:59,400 --> 00:04:01,520 Speaker 3: And then you go to the game. And then after 69 00:04:01,560 --> 00:04:04,640 Speaker 3: the game you get to go to the Crafts party, 70 00:04:04,840 --> 00:04:06,600 Speaker 3: the party that you know the players are ound. You 71 00:04:06,600 --> 00:04:09,920 Speaker 3: get to hang out with all the players, the coaches, fans. 72 00:04:09,960 --> 00:04:13,640 Speaker 3: It's actually the food. It's they put out a great part. 73 00:04:13,680 --> 00:04:16,640 Speaker 3: I have to tell you that there'll be major rock stars. 74 00:04:16,640 --> 00:04:20,080 Speaker 3: They're major bands. So it's a trip of a lifetime. 75 00:04:20,080 --> 00:04:21,720 Speaker 3: I mean, I don't even know what this would cost 76 00:04:21,800 --> 00:04:24,599 Speaker 3: if you try to put it together. It's tremendous. But 77 00:04:24,720 --> 00:04:27,479 Speaker 3: the best part, it's a it's a sweez steak. So 78 00:04:27,480 --> 00:04:30,920 Speaker 3: all you need to do is go to the website 79 00:04:30,960 --> 00:04:34,320 Speaker 3: and it's ten dollars. It's a dollar a ticket. So 80 00:04:34,400 --> 00:04:36,360 Speaker 3: you can buy one hundreds of dollars worth of tickets 81 00:04:36,360 --> 00:04:38,640 Speaker 3: and get more odds, but you could just get in 82 00:04:38,680 --> 00:04:42,760 Speaker 3: for ten dollars. That's it, you know. And night in 83 00:04:42,800 --> 00:04:45,000 Speaker 3: twenty nineteen, the last time we went to the Super Bowl, 84 00:04:45,040 --> 00:04:47,960 Speaker 3: we did it. The guy that won, he bought twenty 85 00:04:48,000 --> 00:04:49,880 Speaker 3: dollars worth of tickets and he got to go. 86 00:04:50,800 --> 00:04:51,000 Speaker 2: You know. 87 00:04:51,080 --> 00:04:53,560 Speaker 3: So that's what I like about this. It's an easy 88 00:04:53,720 --> 00:04:55,479 Speaker 3: entry for people. You know, a lot of times we 89 00:04:55,560 --> 00:04:58,800 Speaker 3: do these auction items and they're very expensive. This is 90 00:04:58,920 --> 00:05:01,719 Speaker 3: so great that you just get right into a trip 91 00:05:01,760 --> 00:05:03,320 Speaker 3: of a lifetime. It's gonna be a lot of fun. 92 00:05:03,800 --> 00:05:07,239 Speaker 2: This is unbelievable because if you did try to put 93 00:05:07,600 --> 00:05:11,400 Speaker 2: a number on the value here, it is truly priceless 94 00:05:11,400 --> 00:05:13,000 Speaker 2: when you think about it. I mean, first of all, 95 00:05:13,080 --> 00:05:16,599 Speaker 2: to spend some time with you and with Matt is extraordinary. 96 00:05:16,800 --> 00:05:20,599 Speaker 2: But then to to go to a guy Ferre's, uh 97 00:05:20,880 --> 00:05:27,200 Speaker 2: steakhouse to Harrison State House excuse me, h, yeah, yeah, 98 00:05:27,240 --> 00:05:33,560 Speaker 2: and then the tailgate which is at the cow Palace arena, which, 99 00:05:33,600 --> 00:05:37,200 Speaker 2: if I'm not mistaken, was where the nineteen sixty four 100 00:05:37,480 --> 00:05:39,760 Speaker 2: Republican National Convention was. 101 00:05:41,520 --> 00:05:45,120 Speaker 3: Little that's right, yeah, yeah, the parking lot. We're not 102 00:05:45,120 --> 00:05:45,719 Speaker 3: going to be inside. 103 00:05:45,800 --> 00:05:45,960 Speaker 5: No. 104 00:05:46,080 --> 00:05:48,920 Speaker 3: Yeah, but it's a it's a it's a you've got 105 00:05:48,960 --> 00:05:51,280 Speaker 3: bands playing. It is I'm telling it. That part. It's 106 00:05:51,320 --> 00:05:52,640 Speaker 3: the best party you will ever go. 107 00:05:52,960 --> 00:05:56,200 Speaker 2: And you have part and you haven't mentioned, or did 108 00:05:56,240 --> 00:06:00,520 Speaker 2: you the two autographed Patriots jerseys, one by yeah, all right, 109 00:06:00,640 --> 00:06:05,000 Speaker 2: right by by the Patriots quarterback and and it's it's 110 00:06:05,040 --> 00:06:09,640 Speaker 2: no longer Brissette or or or Brady. What's the new 111 00:06:09,720 --> 00:06:13,480 Speaker 2: fellow's name? Who's the quarterback for the Patriots, Drake May 112 00:06:14,560 --> 00:06:19,480 Speaker 2: Drake I see his name? And also the other one 113 00:06:19,520 --> 00:06:23,960 Speaker 2: will be autographed by the head coach who's he's a 114 00:06:24,000 --> 00:06:27,440 Speaker 2: Super Bowl champ, Matt Light is a three time Super 115 00:06:27,440 --> 00:06:32,480 Speaker 2: Bowl champ. You are a a restaurant tour Hall of Famer. 116 00:06:33,960 --> 00:06:36,840 Speaker 2: I'm sure this isn't You could not put a price 117 00:06:36,920 --> 00:06:39,960 Speaker 2: tag on this. How did people enter? Where? How do 118 00:06:40,080 --> 00:06:41,560 Speaker 2: they have to go? What do they what do they 119 00:06:41,560 --> 00:06:41,880 Speaker 2: have to do? 120 00:06:42,200 --> 00:06:44,760 Speaker 3: Just go to the Light Foundation. Go go on the 121 00:06:44,839 --> 00:06:51,760 Speaker 3: LFE Foundation website. Uh, it's it's seven, it's it's very simple. 122 00:06:51,920 --> 00:06:54,560 Speaker 3: Just go on that website. You'll see it. Uh, you know, 123 00:06:54,920 --> 00:06:58,359 Speaker 3: Lightefoundation dot org. And just buy the tickets. Just you 124 00:06:58,360 --> 00:07:00,800 Speaker 3: can just do ten dollars if you want to, two 125 00:07:00,839 --> 00:07:02,839 Speaker 3: hundred dollars five do you know, whatever you want to do. 126 00:07:03,200 --> 00:07:03,320 Speaker 6: Uh. 127 00:07:03,560 --> 00:07:06,560 Speaker 3: But the best part too, is it's for our local camp, 128 00:07:06,880 --> 00:07:09,280 Speaker 3: the Ron Burton Training Village, which I'm very involved with. 129 00:07:09,320 --> 00:07:11,760 Speaker 3: It's the best camp in my opinion, in the state. 130 00:07:12,360 --> 00:07:12,600 Speaker 5: Uh. 131 00:07:12,640 --> 00:07:14,280 Speaker 3: And then of course you you're going to help the 132 00:07:14,320 --> 00:07:16,800 Speaker 3: LFE Foundation too, so uh, you know, it was splitting 133 00:07:16,800 --> 00:07:19,600 Speaker 3: the money, and it's one hundred percent of the money 134 00:07:19,640 --> 00:07:22,080 Speaker 3: is going to these two camps. You know, we've got 135 00:07:22,120 --> 00:07:25,240 Speaker 3: everything donated so there's really no expenses for us, so 136 00:07:25,480 --> 00:07:29,240 Speaker 3: we're just all that money is going to the foundations. 137 00:07:29,240 --> 00:07:30,440 Speaker 3: It's which is fantastic. 138 00:07:30,720 --> 00:07:34,760 Speaker 2: You know, Steve. I had the honor and opportunity to 139 00:07:35,040 --> 00:07:37,480 Speaker 2: actually meet Ron Burton. 140 00:07:40,200 --> 00:07:42,640 Speaker 3: Yeah, okay, well I met him when I was sixteen 141 00:07:42,680 --> 00:07:45,680 Speaker 3: in high school. He came my football coach brought him 142 00:07:45,760 --> 00:07:47,560 Speaker 3: and had lunch with me when I was sixteen. 143 00:07:48,040 --> 00:07:48,200 Speaker 4: Uh. 144 00:07:48,320 --> 00:07:50,640 Speaker 3: He changed my life. But I tell you that guy. 145 00:07:50,800 --> 00:07:52,920 Speaker 3: Oh yeah, I was messed up a little bit at 146 00:07:52,920 --> 00:07:55,600 Speaker 3: the time, and uh, he straightened me out, I'll tell you. 147 00:07:56,400 --> 00:07:58,880 Speaker 3: And he put me into running every day. I because 148 00:07:59,120 --> 00:08:01,360 Speaker 3: they run at the camp. They run seven miles, you know, 149 00:08:01,400 --> 00:08:04,200 Speaker 3: every morning, and that's what I did. And unfortunately, and 150 00:08:04,240 --> 00:08:07,680 Speaker 3: now I have two new hips. But you know, I 151 00:08:07,800 --> 00:08:11,040 Speaker 3: blamed Ron Burton for my hips. But they're doing well. 152 00:08:11,560 --> 00:08:14,240 Speaker 2: Oh that's great. That's nothing like new hips. I'll tell 153 00:08:14,280 --> 00:08:19,160 Speaker 2: you first. First of all, you're one of the superstars 154 00:08:19,160 --> 00:08:22,280 Speaker 2: of New England. Okay. I met you for the first 155 00:08:22,280 --> 00:08:26,480 Speaker 2: time at the restaurant on Newberry Street. Many like circa 156 00:08:26,600 --> 00:08:30,320 Speaker 2: nineteen eighty four. I had met Ron who always when 157 00:08:30,360 --> 00:08:32,200 Speaker 2: you see him in the winter time, he'd be wearing 158 00:08:32,440 --> 00:08:35,959 Speaker 2: the old fashioned fedora. He was the ultimate gentleman. Obviously. 159 00:08:36,040 --> 00:08:38,760 Speaker 2: I know both his sons, worked with both his sons, 160 00:08:39,200 --> 00:08:43,760 Speaker 2: Steve and Paul, a tremendous family, legendary family here in 161 00:08:43,800 --> 00:08:46,720 Speaker 2: New England. And I got to tell you, whoever wins 162 00:08:46,760 --> 00:08:50,320 Speaker 2: this prize, it will be the trip of a lifetime. 163 00:08:50,360 --> 00:08:53,560 Speaker 3: And I so just go to Stairway to seven. So 164 00:08:53,800 --> 00:08:56,520 Speaker 3: stair away, you know, we're kind of playing on Stairway 165 00:08:56,520 --> 00:08:59,360 Speaker 3: to Heaven song and then seven will be our seventh 166 00:08:59,400 --> 00:09:02,959 Speaker 3: super Bowl. Stare Away to seven, uh, and just put 167 00:09:03,000 --> 00:09:05,840 Speaker 3: you'll see it. You just pull right up with ten seconds. 168 00:09:05,920 --> 00:09:08,120 Speaker 3: You just throw a credit card on there and you're 169 00:09:08,160 --> 00:09:09,920 Speaker 3: good to go. I mean, you can't win unless you 170 00:09:10,000 --> 00:09:13,400 Speaker 3: get in. So to me, you're crazy not to do 171 00:09:13,440 --> 00:09:15,520 Speaker 3: this thing because it is the trip of a lifetime. 172 00:09:15,559 --> 00:09:16,520 Speaker 3: I mean it really is. 173 00:09:16,559 --> 00:09:19,439 Speaker 2: Well, it's a great car. It's number one, so therefore 174 00:09:19,480 --> 00:09:23,120 Speaker 2: why would you not? And number two if the opportunity 175 00:09:23,760 --> 00:09:25,640 Speaker 2: who how many people are going to be able to 176 00:09:25,640 --> 00:09:29,800 Speaker 2: see a super Bowl in this fashion? This is beyond 177 00:09:29,960 --> 00:09:31,960 Speaker 2: beyond so we're gonna win too. 178 00:09:32,040 --> 00:09:34,199 Speaker 3: By the way, just's forget that we are going to 179 00:09:34,280 --> 00:09:34,679 Speaker 3: do well. 180 00:09:34,840 --> 00:09:37,520 Speaker 2: Wasn't Donald the quarterback. 181 00:09:37,160 --> 00:09:39,760 Speaker 3: For we are our defense is so good? 182 00:09:40,000 --> 00:09:40,080 Speaker 1: No? 183 00:09:40,160 --> 00:09:42,360 Speaker 2: But what wasn't when he was playing for the Jets, 184 00:09:42,440 --> 00:09:45,600 Speaker 2: Sam Donald? I believe he was the quarterback who was 185 00:09:45,640 --> 00:09:50,199 Speaker 2: so flustered. Uh, he said he was seeing ghosts. That 186 00:09:50,360 --> 00:09:51,040 Speaker 2: true story. 187 00:09:51,160 --> 00:09:53,640 Speaker 3: Ask me, you're right, You're right, You're right, all right, So. 188 00:09:53,880 --> 00:09:57,680 Speaker 2: Hopefully he will see the ghost of Patriots passed. Uh, 189 00:09:57,720 --> 00:10:00,000 Speaker 2: there'll be There'll be many of them out there, hopeful, 190 00:10:00,960 --> 00:10:04,040 Speaker 2: Clara confusing, confusing. 191 00:10:03,559 --> 00:10:05,840 Speaker 3: These coach we have a coach Rabell, who is a 192 00:10:05,840 --> 00:10:09,000 Speaker 3: defensive genius. Man, this guy is so good. Of course, 193 00:10:09,080 --> 00:10:11,480 Speaker 3: we have got Josh calling the plays. I mean, we 194 00:10:11,559 --> 00:10:13,640 Speaker 3: have a heck of a coaching staff and the team. 195 00:10:14,000 --> 00:10:16,719 Speaker 3: They're they're just so pumped. I mean, I'm telling you 196 00:10:16,800 --> 00:10:18,760 Speaker 3: we're gonna win this game, so convinced. 197 00:10:18,800 --> 00:10:21,560 Speaker 2: You know, these these guys in terms of football are 198 00:10:21,640 --> 00:10:24,280 Speaker 2: right up there with Albert Einstein when you think about it. 199 00:10:24,360 --> 00:10:27,200 Speaker 2: I mean, I don't know that Einstein could do a 200 00:10:27,240 --> 00:10:30,839 Speaker 2: better job coaching the Patriots than Rabel. I think you'd agree. 201 00:10:30,600 --> 00:10:36,240 Speaker 3: With me, right, I agree with you. I mean, what 202 00:10:36,280 --> 00:10:39,480 Speaker 3: does Albert Einstein have on coach Rabel Because the way 203 00:10:39,760 --> 00:10:41,480 Speaker 3: you know, he's given me the first guy who won 204 00:10:41,559 --> 00:10:43,240 Speaker 3: a super Bowl then coach the Super Bowl. I mean 205 00:10:43,240 --> 00:10:44,360 Speaker 3: it's that's kind of cool. 206 00:10:44,240 --> 00:10:45,240 Speaker 6: No, very cool. 207 00:10:45,320 --> 00:10:48,120 Speaker 2: And the win is going to have a verbel autographed 208 00:10:48,120 --> 00:10:48,720 Speaker 2: Patriots side. 209 00:10:49,000 --> 00:10:50,880 Speaker 3: You know what's great about Matt Light? You know, first 210 00:10:50,920 --> 00:10:54,200 Speaker 3: of all, we're great friends. But he will answer any question. 211 00:10:54,280 --> 00:10:56,760 Speaker 3: He's one of those guys where you know, I, you know, 212 00:10:56,800 --> 00:10:58,600 Speaker 3: I don't want to talk about that. He'll answer anything 213 00:10:58,600 --> 00:11:02,000 Speaker 3: about tom or he'll talk talk about anything. Uh. And 214 00:11:02,040 --> 00:11:04,480 Speaker 3: he knows about a lot of things, you know, not 215 00:11:04,559 --> 00:11:09,480 Speaker 3: just football. Yeah, and he you know told me today, 216 00:11:10,120 --> 00:11:12,720 Speaker 3: you know about his hunting and he's just the greatest guy. 217 00:11:12,800 --> 00:11:14,960 Speaker 3: I just I just spent a little time with him 218 00:11:15,000 --> 00:11:17,000 Speaker 3: about an hour ago, and you know, I just love 219 00:11:17,080 --> 00:11:17,760 Speaker 3: hanging out with him. 220 00:11:17,920 --> 00:11:19,439 Speaker 2: He's been on the show. Just do me a favor 221 00:11:19,480 --> 00:11:21,680 Speaker 2: and just say hi to him for us and thank 222 00:11:21,800 --> 00:11:24,560 Speaker 2: him on behalf of all of my listeners for once 223 00:11:24,600 --> 00:11:28,120 Speaker 2: again working with you and putting together this tremendous opportunity. 224 00:11:28,080 --> 00:11:30,040 Speaker 3: You know, you know Matt Light stayed here, you know, 225 00:11:30,160 --> 00:11:32,559 Speaker 3: he stayed in Boston, and he helped raise a lot 226 00:11:32,559 --> 00:11:34,800 Speaker 3: of money for charity. You know, he's such a all 227 00:11:34,920 --> 00:11:38,480 Speaker 3: his it's charitable. I mean, I did not love a 228 00:11:38,480 --> 00:11:39,480 Speaker 3: guy like that. You know. 229 00:11:40,360 --> 00:11:42,120 Speaker 2: I was trying to help him when when he was 230 00:11:42,200 --> 00:11:44,000 Speaker 2: running for school committee there in Foxboro. 231 00:11:45,679 --> 00:11:47,360 Speaker 3: I remember we did a show with you with him. 232 00:11:47,400 --> 00:11:50,120 Speaker 3: Oh my goodness, that was that was just crazy. But 233 00:11:50,520 --> 00:11:53,200 Speaker 3: that's a whole nother story. But you know him and 234 00:11:53,240 --> 00:11:55,240 Speaker 3: his wife, Jusy there, they have a great family. And 235 00:11:55,600 --> 00:11:58,520 Speaker 3: you know, he's a hunter and I'm not a hunter, 236 00:11:58,640 --> 00:12:00,680 Speaker 3: but you know I'll cut it up on once it's dead. 237 00:12:00,880 --> 00:12:02,840 Speaker 3: I can't kill an animal. I just can't. 238 00:12:04,280 --> 00:12:06,559 Speaker 2: Too much, you're too much of a humanitarian. 239 00:12:06,800 --> 00:12:07,240 Speaker 7: He told me. 240 00:12:07,320 --> 00:12:09,920 Speaker 3: He told me a story. You know. Actually, Susie, his wife, 241 00:12:09,920 --> 00:12:12,120 Speaker 3: told me that one day he went out and killed 242 00:12:12,120 --> 00:12:13,640 Speaker 3: a deer in the back yard and brought it and 243 00:12:13,720 --> 00:12:16,880 Speaker 3: put in the kitchen sink. And she's a vegetarian, so 244 00:12:17,000 --> 00:12:18,760 Speaker 3: she comes into the kitchen and there he has got 245 00:12:18,760 --> 00:12:20,520 Speaker 3: a deer in the sink, you know, And I was like, 246 00:12:20,600 --> 00:12:22,760 Speaker 3: oh my god, he's so fun It's funny. 247 00:12:22,800 --> 00:12:25,560 Speaker 2: What ma, what make marriages work? You know, you just 248 00:12:25,800 --> 00:12:30,120 Speaker 2: never know. Hey see Di Filippo, the owner of Davo's 249 00:12:30,160 --> 00:12:33,720 Speaker 2: one of the great restaurants, legendary restaurants here in New 250 00:12:33,760 --> 00:12:36,360 Speaker 2: England and across the country. Steve, thanks so much. I 251 00:12:36,400 --> 00:12:37,520 Speaker 2: look forward to seeing you soon. 252 00:12:37,760 --> 00:12:40,960 Speaker 3: Thank you all right, really appreciate it that I'm. 253 00:12:40,960 --> 00:12:44,160 Speaker 2: Best at matt Lfe. All Right, there it is, folks. 254 00:12:44,160 --> 00:12:46,520 Speaker 2: It's as simple as that. Just go to the Stairway 255 00:12:46,679 --> 00:12:50,640 Speaker 2: to seven sweepstakes and it is gonna if you go 256 00:12:50,720 --> 00:12:54,560 Speaker 2: to the Matt Light Foundations called the Light Foundation. I 257 00:12:54,600 --> 00:12:56,640 Speaker 2: got to do it here and get my h my 258 00:12:56,800 --> 00:13:01,120 Speaker 2: contest in and the winners will be chosen. I believe 259 00:13:01,240 --> 00:13:05,040 Speaker 2: you'll be notified. It is I believe Thursday the fifth. 260 00:13:05,440 --> 00:13:07,720 Speaker 2: If I'm not mistaken. Just go there to the website 261 00:13:07,760 --> 00:13:10,679 Speaker 2: and you'll you'll see it all. It's gonna it'll be 262 00:13:10,760 --> 00:13:13,480 Speaker 2: an experience. When we get back, we're going to talk 263 00:13:13,480 --> 00:13:18,600 Speaker 2: about the Center Street food Pantry with Rose Sayah, she's 264 00:13:18,640 --> 00:13:22,080 Speaker 2: the executive director. Right after this break, I am broadcasting 265 00:13:22,120 --> 00:13:27,240 Speaker 2: not remotely tonight. I am broadcasting from the actual WBZ studio. 266 00:13:28,679 --> 00:13:33,760 Speaker 1: It's Night Side with Dan Ray on w Boston's news Radio. 267 00:13:34,640 --> 00:13:39,640 Speaker 2: Well, everyone knows that at this time of year, at 268 00:13:39,720 --> 00:13:42,800 Speaker 2: any time of year, there are people who have to 269 00:13:42,880 --> 00:13:45,920 Speaker 2: depend not only on you know, pro government programs, but 270 00:13:45,960 --> 00:13:48,760 Speaker 2: also food pantries. And one of the great food pantries 271 00:13:48,800 --> 00:13:51,800 Speaker 2: in our area. My favorite is the Mary and Brett 272 00:13:51,800 --> 00:13:56,240 Speaker 2: Food Pantry over Dorchester because the Brett family are great 273 00:13:56,240 --> 00:13:59,520 Speaker 2: friends of Nightside and friends of mine for decades. But 274 00:13:59,600 --> 00:14:04,360 Speaker 2: the State Street Food Pantry is also a great food 275 00:14:04,400 --> 00:14:07,880 Speaker 2: pantry with us as Rose Sayah, the executive director of 276 00:14:07,920 --> 00:14:12,719 Speaker 2: the Center Street Food Pantry, and you're expanding your appointment 277 00:14:12,800 --> 00:14:17,040 Speaker 2: model to increase families served by thirty percent in twenty 278 00:14:17,120 --> 00:14:20,600 Speaker 2: twenty six. I guess the question is the answer should 279 00:14:20,600 --> 00:14:23,000 Speaker 2: be obvious, but what's going on and why are you 280 00:14:23,120 --> 00:14:23,920 Speaker 2: doing this? Rose? 281 00:14:25,680 --> 00:14:28,360 Speaker 7: That is a great way to start this conversation, and thank. 282 00:14:28,240 --> 00:14:31,680 Speaker 4: You for highlighting Center Street and other food pantries in 283 00:14:31,720 --> 00:14:34,480 Speaker 4: the region, because you are correct, it takes more than 284 00:14:34,560 --> 00:14:38,000 Speaker 4: government programs to help the people in our community because 285 00:14:38,000 --> 00:14:41,600 Speaker 4: there are so many people now who are really struggling, 286 00:14:42,120 --> 00:14:46,360 Speaker 4: and food is the last domino to fall. You know, 287 00:14:46,440 --> 00:14:51,400 Speaker 4: people will pay for everything else that's utter essential. They're housing, 288 00:14:52,040 --> 00:14:54,800 Speaker 4: the gas for their car to go to work, medical 289 00:14:54,840 --> 00:14:58,720 Speaker 4: expenses are higher, and food is where the compromises are made. 290 00:14:59,480 --> 00:15:04,280 Speaker 4: So back to your question about thirty percent. We're doing 291 00:15:04,320 --> 00:15:07,320 Speaker 4: that because we know the need is out there and 292 00:15:08,480 --> 00:15:12,440 Speaker 4: we are trying to be as accessible as possible to 293 00:15:12,520 --> 00:15:15,800 Speaker 4: the residents of the six communities that we serve. And 294 00:15:16,160 --> 00:15:22,600 Speaker 4: it's a big jump, but we know that we can 295 00:15:22,680 --> 00:15:28,200 Speaker 4: be a resource for those families, and we decided to 296 00:15:28,320 --> 00:15:31,760 Speaker 4: create what we call an all appointment model, meaning that 297 00:15:32,600 --> 00:15:35,040 Speaker 4: you know, in some cases, people just walk into the 298 00:15:35,040 --> 00:15:37,600 Speaker 4: food pantry when it's open, and they a lot of 299 00:15:37,600 --> 00:15:40,680 Speaker 4: times have to wait. In some cases, they may not 300 00:15:40,720 --> 00:15:43,600 Speaker 4: know what they're going to get. Maybe they're not able 301 00:15:43,600 --> 00:15:45,520 Speaker 4: to get there when the pantry's open. That's one of 302 00:15:45,560 --> 00:15:49,200 Speaker 4: the reasons why we exist as a regional agency. So 303 00:15:49,720 --> 00:15:53,440 Speaker 4: we knew that to be the most efficient to serve 304 00:15:53,480 --> 00:15:57,040 Speaker 4: the most number of families, to be sure every family 305 00:15:57,080 --> 00:16:00,600 Speaker 4: who comes to us gets an equitable and ample distribution 306 00:16:00,680 --> 00:16:04,800 Speaker 4: of food, we wanted to create this all appointment. 307 00:16:04,480 --> 00:16:06,200 Speaker 7: Model, and by doing so, we get. 308 00:16:06,040 --> 00:16:11,160 Speaker 4: An incredibly high throughput. You know, we currently serve about 309 00:16:11,200 --> 00:16:14,720 Speaker 4: three hundred At times we go up to three hundred families, 310 00:16:14,720 --> 00:16:18,600 Speaker 4: but on average it's eleven hundred families a month. With 311 00:16:18,800 --> 00:16:21,960 Speaker 4: this appointment model, we're looking to go from eleven hundred 312 00:16:21,960 --> 00:16:26,760 Speaker 4: families a month to fourteen fifty to do it. And 313 00:16:26,760 --> 00:16:29,360 Speaker 4: by the way, says, if I could just. 314 00:16:29,360 --> 00:16:35,920 Speaker 2: Mention, most times we associate food pantries with communities where 315 00:16:35,960 --> 00:16:41,600 Speaker 2: there is relative high incidents of poverty. You folks who 316 00:16:41,720 --> 00:16:46,520 Speaker 2: serve people in the following communities workline meet them. Newton 317 00:16:46,560 --> 00:16:52,440 Speaker 2: where you're located, Waltham, Watertown, and Wellesley. Those are all 318 00:16:52,800 --> 00:16:57,360 Speaker 2: communities where most people would not think, oh, there's a 319 00:16:57,400 --> 00:16:59,520 Speaker 2: shortage of food, and there are people who will be 320 00:16:59,520 --> 00:17:04,760 Speaker 2: relying on food upon food pantries. And it's amazing the 321 00:17:05,280 --> 00:17:08,720 Speaker 2: people you serve, and it's amazing what you're going to 322 00:17:08,720 --> 00:17:10,520 Speaker 2: try to do. How can folks help you? 323 00:17:13,920 --> 00:17:15,760 Speaker 4: There are a number of ways people can help us. 324 00:17:15,800 --> 00:17:17,800 Speaker 4: And I'm glad you brought up the issue of you 325 00:17:17,840 --> 00:17:20,960 Speaker 4: know that idea that these are communities where people don't 326 00:17:21,000 --> 00:17:24,280 Speaker 4: need help. I mean, all of these communities have opened 327 00:17:24,280 --> 00:17:28,080 Speaker 4: their doors to lower cost housing for some in some 328 00:17:28,119 --> 00:17:30,560 Speaker 4: cases so people can join the communities. There are seniors 329 00:17:30,560 --> 00:17:32,959 Speaker 4: in the communities who are living on fixed incomes. They 330 00:17:32,960 --> 00:17:36,160 Speaker 4: are just working people. I mean, I want to emphasize 331 00:17:36,160 --> 00:17:40,320 Speaker 4: that it isn't about poverty anymore. You know, seventy four 332 00:17:40,359 --> 00:17:43,359 Speaker 4: percent of the people who receive snap work. It's about 333 00:17:43,400 --> 00:17:47,639 Speaker 4: low wages and the high costs that regular working people 334 00:17:47,680 --> 00:17:51,040 Speaker 4: and regular families have now. So the people we're serving 335 00:17:51,119 --> 00:17:55,000 Speaker 4: are probably neighbors, and it may not be all the time, 336 00:17:55,359 --> 00:17:58,040 Speaker 4: it could be an intermittent need, but it's very real 337 00:17:58,080 --> 00:17:58,800 Speaker 4: and very high. 338 00:17:59,160 --> 00:18:01,520 Speaker 2: It's the way people, Yeah, I want to get to 339 00:18:01,600 --> 00:18:04,639 Speaker 2: most importantly, because people I want to know how they 340 00:18:04,720 --> 00:18:06,560 Speaker 2: can get in touch or how they can help. 341 00:18:07,320 --> 00:18:12,160 Speaker 4: Sure Sure we're always we always welcome financial support donations. 342 00:18:12,200 --> 00:18:14,880 Speaker 4: We turn that right around into food that goes back 343 00:18:14,880 --> 00:18:19,520 Speaker 4: into the community where we also have specific food drives 344 00:18:19,520 --> 00:18:21,760 Speaker 4: for programs. We have a Kids Club program where we 345 00:18:21,840 --> 00:18:24,800 Speaker 4: provide an extra bag to all families with kids all 346 00:18:24,880 --> 00:18:27,399 Speaker 4: year long with extra food for breakfast. And one of 347 00:18:27,440 --> 00:18:29,840 Speaker 4: the great things about that program is we look for 348 00:18:29,920 --> 00:18:32,200 Speaker 4: donations of food that we know kids like and you 349 00:18:32,240 --> 00:18:34,880 Speaker 4: can find that on our website. In the summer, we 350 00:18:34,960 --> 00:18:36,320 Speaker 4: run a lunch program. 351 00:18:36,400 --> 00:18:38,840 Speaker 2: I hate to do this to you, Rose, Okay, a 352 00:18:38,880 --> 00:18:41,840 Speaker 2: lot of great information, but the most critical thing I 353 00:18:41,880 --> 00:18:44,600 Speaker 2: think right now is how can folks get in touch 354 00:18:44,640 --> 00:18:49,080 Speaker 2: and help I got other guests who I have to 355 00:18:49,680 --> 00:18:52,359 Speaker 2: get in I don't want to rush you, but I 356 00:18:52,400 --> 00:18:54,159 Speaker 2: want to get to the I don't want to miss 357 00:18:54,280 --> 00:18:55,840 Speaker 2: the most important part of the interview. 358 00:18:55,920 --> 00:18:57,640 Speaker 4: Go ahead, absolutely. 359 00:18:57,960 --> 00:19:00,640 Speaker 7: Anyone who wants to learn more about Sentistry find us 360 00:19:00,640 --> 00:19:01,640 Speaker 7: on our website. 361 00:19:01,880 --> 00:19:08,399 Speaker 4: It's Center Stfoodpantry dot org. Center Streetfoodpantry dot org. You 362 00:19:08,440 --> 00:19:10,720 Speaker 4: can all just look for us in Newton. That's got 363 00:19:10,760 --> 00:19:12,600 Speaker 4: a list of all the ways you can help, how 364 00:19:13,760 --> 00:19:16,879 Speaker 4: we operate, and we certainly welcome anyone who wants to 365 00:19:17,040 --> 00:19:20,240 Speaker 4: see our operation. We're in the corner of Center Homer 366 00:19:20,320 --> 00:19:22,000 Speaker 4: Street and fer Berlin and Newton Center. 367 00:19:22,680 --> 00:19:23,800 Speaker 7: You can see how we operate. 368 00:19:23,880 --> 00:19:26,800 Speaker 2: Okay, Rose, thank you very much. Rosea the executive director 369 00:19:26,840 --> 00:19:31,560 Speaker 2: of the Center Street Food Pantry. Check it out if 370 00:19:31,560 --> 00:19:34,240 Speaker 2: you are in some need, and also check it out 371 00:19:34,320 --> 00:19:37,480 Speaker 2: if you have some ability to help. Thanks very much, Rose. 372 00:19:37,600 --> 00:19:39,639 Speaker 4: To, thanks for highlighting us. 373 00:19:39,680 --> 00:19:41,439 Speaker 6: Dan, much appreciated, Very welcome. 374 00:19:41,720 --> 00:19:44,159 Speaker 2: All Right, we are a minute or so late for 375 00:19:44,240 --> 00:19:46,640 Speaker 2: the eight thirty news. When we come back, we're going 376 00:19:46,680 --> 00:19:51,560 Speaker 2: to talk about how childhood trauma is pulling down humanity 377 00:19:51,560 --> 00:19:55,239 Speaker 2: with author Michael Minard. We'll be back right after the 378 00:19:55,280 --> 00:19:57,679 Speaker 2: News at the bottom of the hour, but coming up 379 00:19:57,720 --> 00:20:01,000 Speaker 2: on eight thirty two. 380 00:20:00,160 --> 00:20:04,840 Speaker 1: It's Nightside with Dan Ray on w Boston's News Radio. 381 00:20:05,560 --> 00:20:09,320 Speaker 2: We're about to talk about a tough subject. My guest 382 00:20:09,520 --> 00:20:13,080 Speaker 2: is Michael Manard. He's written a book called Greater Than 383 00:20:13,200 --> 00:20:18,040 Speaker 2: Gravity of Childhood Trauma is pulling down humanity. Now, this 384 00:20:18,080 --> 00:20:20,680 Speaker 2: book is not available yet, but we'll talk to you 385 00:20:20,760 --> 00:20:24,760 Speaker 2: about that. It's coming out on March nineteenth, just about 386 00:20:25,240 --> 00:20:28,480 Speaker 2: six or seven weeks, well probably six weeks from now. Yeah, 387 00:20:28,480 --> 00:20:31,399 Speaker 2: that'd be six weeks from now. And he's a former 388 00:20:31,480 --> 00:20:36,040 Speaker 2: Johnson and Johnson engineering executive and inventor. But he's also 389 00:20:36,080 --> 00:20:40,199 Speaker 2: applied systems thinking two decades of public health data and 390 00:20:40,320 --> 00:20:45,000 Speaker 2: uncovered a startling root cause behind addiction, suicide, and incarceration 391 00:20:45,480 --> 00:20:50,160 Speaker 2: what he calls unresolved childhood trauma. Michael Manard, Welcome to Nightside. 392 00:20:50,760 --> 00:20:55,960 Speaker 2: First of all, let's let's define childhood trauma. I think 393 00:20:56,040 --> 00:21:02,080 Speaker 2: all of us can talk about, you know, some arguments 394 00:21:02,119 --> 00:21:04,720 Speaker 2: maybe that you had when you were young with your parents, 395 00:21:04,720 --> 00:21:08,080 Speaker 2: so whatever, but give us the best definition you have. 396 00:21:08,720 --> 00:21:12,160 Speaker 6: Okay, there's a lot of misunderstanding Dan about it. There's 397 00:21:12,200 --> 00:21:14,960 Speaker 6: ten types of childhood trauma that are documented, that are 398 00:21:15,080 --> 00:21:19,159 Speaker 6: tracked by the CDC, and there are things that we know. 399 00:21:19,320 --> 00:21:27,200 Speaker 6: It's neglect, both emotional and physical. Its abuse both mental, physical, 400 00:21:27,359 --> 00:21:31,720 Speaker 6: and sexual. It's household dysfunctionality meaning one of the parents 401 00:21:31,760 --> 00:21:36,280 Speaker 6: having an addiction or have been incarcerated, and just a 402 00:21:36,400 --> 00:21:40,760 Speaker 6: general disharmony within the home. It's it's not about disappointments, 403 00:21:40,840 --> 00:21:44,200 Speaker 6: failing a test, having your heart broken by your first girlfriend. 404 00:21:44,600 --> 00:21:47,720 Speaker 6: That's just life. But childhood trauma are the things that 405 00:21:47,800 --> 00:21:53,000 Speaker 6: actually change your physiology and change the brain development over time. 406 00:21:53,280 --> 00:21:59,240 Speaker 2: So those are the categories that you just listed for us. Yes, 407 00:21:59,320 --> 00:22:10,600 Speaker 2: what percentage of American adults does the data show are 408 00:22:10,920 --> 00:22:14,600 Speaker 2: somehow impacted. I'm sure everybody can think back to a 409 00:22:14,640 --> 00:22:16,840 Speaker 2: time when they were sent to their room or whatever. 410 00:22:17,119 --> 00:22:19,080 Speaker 2: But that's again part of life. 411 00:22:19,080 --> 00:22:21,520 Speaker 6: That's not it. Yeah, that's not it. If you look 412 00:22:21,560 --> 00:22:24,800 Speaker 6: at the data shows very clearly that one hundred and 413 00:22:24,840 --> 00:22:28,840 Speaker 6: eighty million adults, that's seventy percent of all adults in 414 00:22:28,880 --> 00:22:33,520 Speaker 6: America today have experienced one or more of those ten things. 415 00:22:34,240 --> 00:22:38,280 Speaker 6: And you know that, and there's fifty million children that 416 00:22:38,320 --> 00:22:41,679 Speaker 6: are experiencing it today, and you know, I've got all 417 00:22:41,800 --> 00:22:45,679 Speaker 6: kinds of statistics about the tragedy and the dysfunction and 418 00:22:45,720 --> 00:22:48,280 Speaker 6: the destruction that comes from that. I mean, the top 419 00:22:48,320 --> 00:22:51,280 Speaker 6: one is and that's the book is kind of hitting 420 00:22:51,280 --> 00:22:55,000 Speaker 6: the alarm button, is that we now have irrefutable data 421 00:22:55,040 --> 00:22:58,800 Speaker 6: that fourteen hundred and one people die per day, that's 422 00:22:58,840 --> 00:23:02,800 Speaker 6: five hundred and eleven thousand in a year directly responsible 423 00:23:03,440 --> 00:23:07,040 Speaker 6: from childhood trauma. Okay, so all kinds of other things. 424 00:23:07,240 --> 00:23:09,080 Speaker 2: So I'm sure that there are people who are listening 425 00:23:09,080 --> 00:23:12,720 Speaker 2: to our conversation right now who are identifying with one 426 00:23:12,760 --> 00:23:16,480 Speaker 2: of those categories. Some of them probably have sought help, 427 00:23:17,280 --> 00:23:22,439 Speaker 2: others haven't. How does one decide in their own life 428 00:23:22,560 --> 00:23:26,320 Speaker 2: now as an adult if the trauma that they suffered 429 00:23:27,000 --> 00:23:32,800 Speaker 2: is having that impact ye then and maybe being carried 430 00:23:32,840 --> 00:23:39,040 Speaker 2: on to their children. This is so horrific, horrific. 431 00:23:39,560 --> 00:23:43,119 Speaker 6: We don't know, I mean, the general public does not know. 432 00:23:43,200 --> 00:23:45,639 Speaker 6: I didn't realize. I'm now seventy five years old. When 433 00:23:45,680 --> 00:23:49,760 Speaker 6: I was seventy four, I discovered that I and my 434 00:23:49,840 --> 00:23:53,800 Speaker 6: siblings had lived through complex childhood trauma, and we just 435 00:23:53,840 --> 00:23:57,479 Speaker 6: thought it was a tough you know, tough childhood. So 436 00:23:57,640 --> 00:24:00,760 Speaker 6: which the way to identify if this has affected you? 437 00:24:00,800 --> 00:24:03,159 Speaker 6: And I'm not suggesting people go around and dig up 438 00:24:03,200 --> 00:24:06,119 Speaker 6: bones and blame parents. That's not the game here. This 439 00:24:06,240 --> 00:24:09,840 Speaker 6: is about if something isn't right in your life. If 440 00:24:09,840 --> 00:24:14,680 Speaker 6: you are suffering from any type of addiction, depression, anxiety, 441 00:24:15,960 --> 00:24:20,760 Speaker 6: relationship issues, just do a little investigation. You can go 442 00:24:20,840 --> 00:24:25,439 Speaker 6: to my website Youactnow dot com and it'll give you 443 00:24:25,480 --> 00:24:29,760 Speaker 6: a little a little test, a little overview of if 444 00:24:29,760 --> 00:24:32,880 Speaker 6: this is you, then here's some action you might want 445 00:24:32,920 --> 00:24:37,280 Speaker 6: to take. And not everyone suffering needs therapy, that to 446 00:24:37,320 --> 00:24:42,240 Speaker 6: be clear, but forty four million people in America are 447 00:24:42,320 --> 00:24:48,159 Speaker 6: suffering life changing depression because of childhood trauma. 448 00:24:48,760 --> 00:24:51,560 Speaker 2: The website is you Act. 449 00:24:51,320 --> 00:24:58,240 Speaker 6: Now Now You ActNow dot com and it's United against 450 00:24:58,280 --> 00:25:01,960 Speaker 6: Childhood Trauma. So I founded after the writing of this book, 451 00:25:01,960 --> 00:25:05,119 Speaker 6: I founded an organization that's going to bring awareness and 452 00:25:05,200 --> 00:25:08,679 Speaker 6: healing to those one hundred and eighty million people. But 453 00:25:08,760 --> 00:25:11,480 Speaker 6: first we have to do, like what you're doing, is 454 00:25:11,520 --> 00:25:15,480 Speaker 6: start with awareness to say we can't normalize this. We've 455 00:25:15,480 --> 00:25:19,640 Speaker 6: got to stop it. It's it's it's it's generational trauma 456 00:25:19,720 --> 00:25:21,320 Speaker 6: that's keeping this engine going. 457 00:25:21,440 --> 00:25:24,560 Speaker 2: Okay, So here's here's a question. And all I do 458 00:25:24,640 --> 00:25:28,760 Speaker 2: is from my my career is I ask questions, good job, 459 00:25:29,280 --> 00:25:32,600 Speaker 2: when do you believe, as someone who has study this, 460 00:25:33,320 --> 00:25:36,959 Speaker 2: when do you believe this started on any disease that 461 00:25:37,040 --> 00:25:40,400 Speaker 2: we have. They can sometimes, as they did in AIDS 462 00:25:40,960 --> 00:25:42,960 Speaker 2: tried to find patient zero. 463 00:25:43,800 --> 00:25:47,439 Speaker 6: I can tell you exactly it started. It started with 464 00:25:47,520 --> 00:25:51,200 Speaker 6: canaan Abel. Okay, it has happened. It has happened since 465 00:25:51,240 --> 00:25:54,520 Speaker 6: the beginning of time, since the beginning of time. And 466 00:25:54,880 --> 00:25:59,560 Speaker 6: what happens is when when this happens, it automatically triggers 467 00:25:59,720 --> 00:26:03,440 Speaker 6: reap behavior. So if you've been abused by a child 468 00:26:03,560 --> 00:26:07,480 Speaker 6: or experienced these this neglect, you have an eighty seven 469 00:26:07,560 --> 00:26:11,800 Speaker 6: percent probability that you will pass that bad behavior down 470 00:26:11,880 --> 00:26:15,840 Speaker 6: to your children, and you don't even realize it. So 471 00:26:16,200 --> 00:26:18,280 Speaker 6: it starts, you know, it is it is. You know, 472 00:26:18,440 --> 00:26:22,280 Speaker 6: you trace epidemiology of a disease, it's it's as far 473 00:26:22,320 --> 00:26:26,880 Speaker 6: back as history goes and and dan it is the 474 00:26:26,920 --> 00:26:32,159 Speaker 6: worst if you measure diseases in years of lost life. 475 00:26:32,680 --> 00:26:36,359 Speaker 6: Childhood trauma is the greatest illness we're face in humanity today. 476 00:26:36,359 --> 00:26:40,720 Speaker 6: That's why the you know the subtitle, it's pulling down humanity. 477 00:26:41,200 --> 00:26:44,560 Speaker 2: A couple of other quick questions. Is there any indication 478 00:26:45,440 --> 00:26:50,000 Speaker 2: that this epidemic, because it would be an epidemic, is 479 00:26:50,119 --> 00:26:53,840 Speaker 2: any greater in our society, in the in America, in 480 00:26:53,880 --> 00:26:57,240 Speaker 2: the United States of America. There's other cultures around the world. 481 00:26:57,480 --> 00:26:59,840 Speaker 2: And the flip side of that is there another culture 482 00:27:00,000 --> 00:27:03,280 Speaker 2: around the world that is relatively immune from this. 483 00:27:04,240 --> 00:27:06,720 Speaker 6: There is Let me get right to that. First of 484 00:27:06,760 --> 00:27:09,879 Speaker 6: all the forty two richest countries in the world, we 485 00:27:09,960 --> 00:27:12,680 Speaker 6: are the worst at it. America has the worst trauma, 486 00:27:12,720 --> 00:27:15,000 Speaker 6: and we do the least about it. Think of that, 487 00:27:15,560 --> 00:27:18,639 Speaker 6: is there a society that doesn't have it pretty much? 488 00:27:20,440 --> 00:27:23,680 Speaker 6: If you take the Nordic countries, if you take that 489 00:27:24,080 --> 00:27:26,000 Speaker 6: handful of Nordic countries. 490 00:27:25,800 --> 00:27:28,200 Speaker 2: Norway, Sweden, Finland, Denmark. 491 00:27:28,000 --> 00:27:28,679 Speaker 6: Exactly, that's it. 492 00:27:28,760 --> 00:27:29,200 Speaker 1: Yeah, yep. 493 00:27:29,720 --> 00:27:33,720 Speaker 6: They have a system where they raise their children like vikings. 494 00:27:34,119 --> 00:27:37,120 Speaker 6: And so when a woman comes home with a baby, 495 00:27:37,240 --> 00:27:40,720 Speaker 6: she is surrounded by resources. She gets eighteen months off 496 00:27:40,840 --> 00:27:47,080 Speaker 6: paid vacation by the government. If they need anything, care, diapers, 497 00:27:48,000 --> 00:27:52,680 Speaker 6: postpartum depression, counseling, it's all delivered to the door of 498 00:27:52,080 --> 00:27:58,000 Speaker 6: that new mother. So their childhood trauma is almost non existent. 499 00:27:58,119 --> 00:28:02,000 Speaker 6: So we know it's preventable. It's a tragedy in this 500 00:28:02,119 --> 00:28:03,480 Speaker 6: in this country. 501 00:28:03,119 --> 00:28:06,959 Speaker 2: All right. The book is greater than Gravity. How childhood 502 00:28:07,000 --> 00:28:11,960 Speaker 2: trauma is pulling down humanity. My guest has been Michael Menard. 503 00:28:12,640 --> 00:28:16,240 Speaker 2: He speaks with a great deal of conviction, as I 504 00:28:16,280 --> 00:28:21,200 Speaker 2: mentioned earlier, former Johnson and Johnson engineering executive and an inventor, 505 00:28:21,240 --> 00:28:25,440 Speaker 2: and he supplied systems thinking to decades of public health 506 00:28:25,520 --> 00:28:30,360 Speaker 2: data and uncovered startling root cause behind addiction, suicide and incarceration, 507 00:28:30,720 --> 00:28:36,439 Speaker 2: and that is unresolved childhood trauma. The quick website that 508 00:28:36,520 --> 00:28:41,680 Speaker 2: you can go to is you act uactnow dot com. 509 00:28:41,680 --> 00:28:44,360 Speaker 2: And you said there's a test that people can take 510 00:28:44,400 --> 00:28:50,960 Speaker 2: themselves to determine, yes, perhaps where they stand on a spectrum. Yes, yep, perfect, Michael. 511 00:28:51,000 --> 00:28:53,320 Speaker 2: I really appreciated it. I did not know much about 512 00:28:53,320 --> 00:28:56,440 Speaker 2: this before we talked. I want to know more about it, 513 00:28:56,480 --> 00:28:57,960 Speaker 2: and I'm going to get the book and I hope 514 00:28:57,960 --> 00:29:01,200 Speaker 2: many of our Mike, and thank you so much. I 515 00:29:01,200 --> 00:29:06,120 Speaker 2: appreciate your time here. Bye, gotcha. Okay, when we get back, 516 00:29:06,520 --> 00:29:10,560 Speaker 2: another tough topic, and that is how artificial intelligence and 517 00:29:10,800 --> 00:29:16,000 Speaker 2: other technology technologies, maybe some that we don't even know exist, 518 00:29:16,680 --> 00:29:20,120 Speaker 2: will impact and affect your job and the jobs of 519 00:29:20,160 --> 00:29:22,440 Speaker 2: your children and your grandchildren. Are going to talk with 520 00:29:22,840 --> 00:29:27,560 Speaker 2: Betty Haidish, a career strategist, speaker, author and entrepreneur. Right 521 00:29:27,600 --> 00:29:29,840 Speaker 2: after this break on Night Side and again, I just 522 00:29:29,880 --> 00:29:34,160 Speaker 2: want to emphasize I am broadcasting from the studio. If 523 00:29:34,160 --> 00:29:37,040 Speaker 2: you believe that the quality of the audio is any 524 00:29:37,080 --> 00:29:39,600 Speaker 2: better than normal, I'd love to hear from you. If 525 00:29:39,600 --> 00:29:42,280 Speaker 2: you believe it's the same, I'd love to hear from 526 00:29:42,320 --> 00:29:44,920 Speaker 2: you as well. Because there are some people who will 527 00:29:45,000 --> 00:29:47,840 Speaker 2: say to me, oh, that sounded great, it doesn't sound great. 528 00:29:48,720 --> 00:29:52,760 Speaker 2: I would ask you to lend your ears to tonight's program. 529 00:29:52,800 --> 00:29:54,640 Speaker 2: We have a couple of well, we have three really 530 00:29:54,680 --> 00:29:57,120 Speaker 2: good topics coming up. I'll talk about those right after 531 00:29:57,160 --> 00:30:00,160 Speaker 2: the nine o'clock news, and we'll be back right here 532 00:30:00,160 --> 00:30:04,760 Speaker 2: in the WBZ studio in Medford, Massachusetts. I am at 533 00:30:04,760 --> 00:30:07,720 Speaker 2: the home base, and I'm actually looking through the looking 534 00:30:07,800 --> 00:30:11,520 Speaker 2: glass at my producer, Rob Brooks. He's looking at his 535 00:30:11,640 --> 00:30:12,560 Speaker 2: host Dan Ray. 536 00:30:12,800 --> 00:30:16,480 Speaker 1: Back after this, You're on Night Side with Dan Ray 537 00:30:16,880 --> 00:30:19,480 Speaker 1: on WBZY, Boston's news radio. 538 00:30:20,120 --> 00:30:24,200 Speaker 2: Well, I think everyone has heard of artificial intelligence at 539 00:30:24,200 --> 00:30:26,760 Speaker 2: this point, and there are other technologies out there that 540 00:30:27,040 --> 00:30:29,680 Speaker 2: we probably have yet to hear about. With us is 541 00:30:29,720 --> 00:30:33,400 Speaker 2: Becky Heidish. She is a career strategist, a speaker, an author, 542 00:30:33,440 --> 00:30:38,200 Speaker 2: and an entrepreneur. Becky, we're going to talk about how 543 00:30:38,400 --> 00:30:44,120 Speaker 2: artificial intelligence and other technologies will affect everyone's job. I 544 00:30:44,160 --> 00:30:47,160 Speaker 2: guess potentially even talk show hosts go. 545 00:30:47,160 --> 00:30:49,680 Speaker 7: Right as well. 546 00:30:49,840 --> 00:30:53,320 Speaker 5: Great, thanks for having me, Dan, It's good to be here. Yeah, 547 00:30:53,360 --> 00:30:56,880 Speaker 5: it's a really changing time, and it's a fast moving time, 548 00:30:57,200 --> 00:30:59,840 Speaker 5: you know. I think there's a lot of panic, of course, 549 00:31:00,160 --> 00:31:02,560 Speaker 5: about jobs that are going to be replaced, and where 550 00:31:02,560 --> 00:31:04,040 Speaker 5: we're at today and where we're going to be in 551 00:31:04,080 --> 00:31:06,680 Speaker 5: the future. But I think, you know, for the most part, 552 00:31:06,760 --> 00:31:08,680 Speaker 5: I think people can take a deep breath because I 553 00:31:08,680 --> 00:31:12,120 Speaker 5: think what's happening right now is we are reshaping work 554 00:31:12,200 --> 00:31:14,000 Speaker 5: more than we are erasing it. 555 00:31:14,840 --> 00:31:16,880 Speaker 7: Right now, the focus is on tasks. 556 00:31:16,600 --> 00:31:19,880 Speaker 5: Not whold jobs being automated, and so many jobs are 557 00:31:19,920 --> 00:31:23,040 Speaker 5: going to be redesigned rather than eliminated at least at 558 00:31:23,040 --> 00:31:25,040 Speaker 5: this point in the process. We're going to have short 559 00:31:25,120 --> 00:31:29,960 Speaker 5: term disruption and then eventually long term productivity. Where that 560 00:31:30,760 --> 00:31:33,560 Speaker 5: ends up in terms of you know, the unemployment rate, 561 00:31:33,640 --> 00:31:36,320 Speaker 5: I mean Golden Sax estimates. AI could be you know, 562 00:31:36,400 --> 00:31:39,520 Speaker 5: temporarily raise unemployment and a half a percentage point, which 563 00:31:39,560 --> 00:31:42,600 Speaker 5: would equate to about six to seven percent of workers 564 00:31:43,560 --> 00:31:46,479 Speaker 5: if it's widely adopted. But of course, and that's going 565 00:31:46,520 --> 00:31:49,120 Speaker 5: to happen, but we just don't know the fallout exactly. 566 00:31:49,200 --> 00:31:52,120 Speaker 5: But in certain sectors are growing faster than others, so 567 00:31:52,200 --> 00:31:53,480 Speaker 5: I think you know those are ye. 568 00:31:53,640 --> 00:31:55,320 Speaker 2: Let me play with that number for a second. So 569 00:31:55,360 --> 00:31:59,040 Speaker 2: you're saying that the unemployment rate that we reach what 570 00:31:59,160 --> 00:32:02,160 Speaker 2: has always been con said full employment is four percent, 571 00:32:03,480 --> 00:32:07,800 Speaker 2: because you're familiar with that term full employment, Okay, because 572 00:32:07,800 --> 00:32:11,000 Speaker 2: there's always people who are moving and whatever, and people 573 00:32:11,240 --> 00:32:14,120 Speaker 2: are retiring and jobs aren't being filled, et cetera. So 574 00:32:14,600 --> 00:32:19,040 Speaker 2: to increase it by a half a percent, that would 575 00:32:19,040 --> 00:32:21,400 Speaker 2: be a half a percent of the workforce correct. 576 00:32:22,680 --> 00:32:25,800 Speaker 5: Well, and it depends on which sectors and things that 577 00:32:25,840 --> 00:32:27,840 Speaker 5: you're looking at. And that was you know, some research 578 00:32:27,920 --> 00:32:30,520 Speaker 5: that Goldman Sachs had out, I mean, the World Economic 579 00:32:30,680 --> 00:32:33,800 Speaker 5: Forum came out that by twenty thirty, we are going 580 00:32:33,880 --> 00:32:36,600 Speaker 5: to have almost in a sense for different scenarios from 581 00:32:36,920 --> 00:32:40,120 Speaker 5: you know, high AI to high inclusion to high AI 582 00:32:40,280 --> 00:32:43,320 Speaker 5: and low inclusion, and you know, somewhere in there it's 583 00:32:43,360 --> 00:32:45,960 Speaker 5: going to fall. But certainly every industry is going to 584 00:32:45,960 --> 00:32:48,520 Speaker 5: be impacted, Every job is going to be impacted in 585 00:32:48,560 --> 00:32:51,760 Speaker 5: one way or another with the tools that they're using 586 00:32:51,880 --> 00:32:54,080 Speaker 5: to do the jobs that they're currently doing. 587 00:32:54,560 --> 00:33:00,480 Speaker 2: Okay, so let's let's look back historically. When the the 588 00:33:00,520 --> 00:33:04,200 Speaker 2: automobile rolled off the assembly line. I'm sure that people 589 00:33:04,200 --> 00:33:09,040 Speaker 2: were saying, oh my god, we're not going to need blacksmiths, 590 00:33:09,240 --> 00:33:13,240 Speaker 2: We're not going to need people to shoe horses. What 591 00:33:13,320 --> 00:33:15,640 Speaker 2: are we going to do with How will they find work? 592 00:33:15,880 --> 00:33:22,080 Speaker 2: And yet that development the internal combustion engine has employed 593 00:33:22,640 --> 00:33:26,760 Speaker 2: millions of people around the world. Is it possible that 594 00:33:26,880 --> 00:33:32,800 Speaker 2: AI could actually boomerang and create jobs that we can't 595 00:33:32,840 --> 00:33:33,720 Speaker 2: even contemplate? 596 00:33:33,760 --> 00:33:34,000 Speaker 6: Now? 597 00:33:35,480 --> 00:33:38,000 Speaker 5: Certainly? I mean when you think of AI, I think, 598 00:33:38,040 --> 00:33:39,920 Speaker 5: you know, I like people to just think of the 599 00:33:40,080 --> 00:33:43,280 Speaker 5: very basic from a software standpoint, as a tool to 600 00:33:43,360 --> 00:33:46,360 Speaker 5: do their job quicker and better and faster. And so, 601 00:33:46,640 --> 00:33:49,680 Speaker 5: but it's affecting you know, the AI and the computing, 602 00:33:49,800 --> 00:33:53,160 Speaker 5: is affecting all the hardware we use. It's affecting the infrastructure, 603 00:33:53,240 --> 00:33:55,920 Speaker 5: the energy, all of these different things. So yes, all 604 00:33:56,000 --> 00:33:59,680 Speaker 5: of these other jobs will stem off of it. And certainly, 605 00:33:59,720 --> 00:34:01,600 Speaker 5: you know, and some of the trades and some of 606 00:34:01,640 --> 00:34:04,520 Speaker 5: the actual hands on you know, they may be affected 607 00:34:04,560 --> 00:34:07,240 Speaker 5: by a certain application tool of where they enter data 608 00:34:07,320 --> 00:34:09,800 Speaker 5: or certain things that they do that's going to be 609 00:34:09,880 --> 00:34:11,320 Speaker 5: affected by AI. 610 00:34:11,840 --> 00:34:12,960 Speaker 4: But there still will be a. 611 00:34:12,880 --> 00:34:15,040 Speaker 5: Lot of hands on things going on. But when you 612 00:34:15,040 --> 00:34:17,239 Speaker 5: think of like robots and what's happening, you know, and 613 00:34:17,320 --> 00:34:18,680 Speaker 5: what can be done in terms. 614 00:34:18,480 --> 00:34:20,600 Speaker 7: Of these assembly lines for you know, doing. 615 00:34:20,440 --> 00:34:23,399 Speaker 5: Automobiles for example. I mean really, when you get down 616 00:34:23,440 --> 00:34:26,120 Speaker 5: to think about, you know, bagging groceries or stocking the 617 00:34:26,120 --> 00:34:28,920 Speaker 5: grocery shelves or things like this, Eventually robots will be 618 00:34:28,920 --> 00:34:31,239 Speaker 5: able to do all of those things, and they're doing 619 00:34:31,280 --> 00:34:33,319 Speaker 5: them now, but just we're not seeing them in our 620 00:34:33,400 --> 00:34:34,320 Speaker 5: day to day lives. 621 00:34:34,719 --> 00:34:36,600 Speaker 4: You know, we're going to It's funny. 622 00:34:36,600 --> 00:34:39,400 Speaker 2: I don't mean to interrupt, excuse me, but I can 623 00:34:39,520 --> 00:34:42,960 Speaker 2: imagine you go to a restaurant and there's a robot 624 00:34:43,000 --> 00:34:47,560 Speaker 2: who you know, straddles over and in a robot voice, 625 00:34:47,719 --> 00:34:50,240 Speaker 2: is what would you like? Good after, good evening? Welcome, 626 00:34:50,280 --> 00:34:53,239 Speaker 2: what would you like to order? I don't know I'm 627 00:34:53,239 --> 00:34:55,520 Speaker 2: going to warm up to that. I don't think. 628 00:34:55,800 --> 00:34:59,600 Speaker 5: Well, and it's you know, it's actually it's actually been changing. 629 00:34:59,600 --> 00:35:02,080 Speaker 5: I mean this was probably four or five years ago. 630 00:35:02,160 --> 00:35:05,240 Speaker 5: I was in a hotel and called down to request 631 00:35:05,280 --> 00:35:08,520 Speaker 5: I don't remember what it was, and they all of 632 00:35:08,560 --> 00:35:10,759 Speaker 5: a sudden, next thing, I knew a robot came up 633 00:35:10,920 --> 00:35:13,400 Speaker 5: and you hear your door, you know, a ring on 634 00:35:13,440 --> 00:35:15,320 Speaker 5: the door, and there's a robot there and the little 635 00:35:15,320 --> 00:35:17,680 Speaker 5: thing opens up and you've got your you know, item 636 00:35:17,719 --> 00:35:19,960 Speaker 5: that they were bringing up. So it is out there 637 00:35:19,960 --> 00:35:22,040 Speaker 5: and it's been happening. We're just not seeing it in 638 00:35:22,080 --> 00:35:24,560 Speaker 5: the mainstream right now. And of course, you know, we're 639 00:35:24,760 --> 00:35:28,480 Speaker 5: we have a workforce that is behind and digital skills 640 00:35:28,480 --> 00:35:32,560 Speaker 5: in many cases, and everybody scrambling to kind of figure 641 00:35:32,560 --> 00:35:35,120 Speaker 5: out the AI tools for their trade. And that's really 642 00:35:35,160 --> 00:35:38,319 Speaker 5: what people need to focus on is the basics of 643 00:35:38,360 --> 00:35:40,879 Speaker 5: AI and what it is that how is AI going 644 00:35:40,880 --> 00:35:43,479 Speaker 5: to affect their particular job and the lane that they're 645 00:35:43,520 --> 00:35:45,960 Speaker 5: in and in the industry that they're in, and they 646 00:35:46,040 --> 00:35:49,839 Speaker 5: need to be rescaling with those new AI tools you have. 647 00:35:49,880 --> 00:35:53,200 Speaker 2: You driven, I shouldn't say driven, have you roaded yet 648 00:35:53,239 --> 00:35:53,839 Speaker 2: in a way Moow. 649 00:35:55,840 --> 00:35:57,520 Speaker 5: You know, as a matter of fact, I tried to 650 00:35:57,520 --> 00:36:00,440 Speaker 5: get one coming into Phoenix. I was just trying traveling 651 00:36:00,480 --> 00:36:03,520 Speaker 5: a couple of weeks ago, and where I was going 652 00:36:03,719 --> 00:36:08,279 Speaker 5: was right outside of the you know, penetration market that 653 00:36:08,320 --> 00:36:12,440 Speaker 5: they're in right now. So but yeah, I've had you know, 654 00:36:12,520 --> 00:36:15,400 Speaker 5: friends use them and you know, there certainly is a 655 00:36:15,400 --> 00:36:18,880 Speaker 5: little bit of uncomfortableness. You know, I'm sure and basically 656 00:36:18,880 --> 00:36:21,880 Speaker 5: from my conversations, you know you're really giving up control 657 00:36:21,920 --> 00:36:25,000 Speaker 5: to the automobile. But I think it will be just 658 00:36:25,080 --> 00:36:26,960 Speaker 5: like everything else. We kind of adjust to. 659 00:36:28,480 --> 00:36:30,719 Speaker 2: A couple of years ago, my daughter's living in San Francisco. 660 00:36:30,840 --> 00:36:32,520 Speaker 2: She says, you've got to try a Weaimo the next 661 00:36:32,520 --> 00:36:35,040 Speaker 2: time you're out here. So we grabbed a way moo. 662 00:36:35,440 --> 00:36:39,360 Speaker 2: And of course Dad has to be dumb. I kept saying, Okay, 663 00:36:39,640 --> 00:36:43,200 Speaker 2: I get the joke. Who's driving? Who where's the driver? 664 00:36:43,719 --> 00:36:46,920 Speaker 2: Of course she said, Dad, there is no driver. And 665 00:36:46,960 --> 00:36:49,560 Speaker 2: I said, look the steering wheel. Just come on, where's 666 00:36:49,600 --> 00:36:54,800 Speaker 2: the is this anyway? Just just assure me. And I 667 00:36:54,880 --> 00:36:57,319 Speaker 2: don't know if you can assure me, Becky, but just 668 00:36:57,360 --> 00:37:00,960 Speaker 2: to show me that that that AI won't eliminade talk 669 00:37:01,000 --> 00:37:07,200 Speaker 2: show hosts. Well, you know, I hear hesitation there. That 670 00:37:07,280 --> 00:37:11,640 Speaker 2: is good ladies and gentlemen, go ahead. I'm only go ahead. 671 00:37:12,480 --> 00:37:14,520 Speaker 5: Well, you know, I was on a I did. I've 672 00:37:14,520 --> 00:37:16,720 Speaker 5: done a few different in the last couple of months, 673 00:37:16,760 --> 00:37:20,319 Speaker 5: AI conferences, trainings, things like that, to just kind of 674 00:37:20,360 --> 00:37:22,200 Speaker 5: see what was going on in this last one I 675 00:37:22,280 --> 00:37:24,680 Speaker 5: did actually last week, was you know, all all this 676 00:37:24,840 --> 00:37:28,360 Speaker 5: AI cloning that's going on. So it's the AI cloning 677 00:37:28,560 --> 00:37:31,080 Speaker 5: of your using this software to kind of clone your 678 00:37:31,120 --> 00:37:33,919 Speaker 5: thought process, the things that you've written, your tone, how 679 00:37:33,960 --> 00:37:36,640 Speaker 5: you speak. And then the next one is audio cloning 680 00:37:36,680 --> 00:37:39,839 Speaker 5: your voice, and the next one's video cloning this and 681 00:37:40,280 --> 00:37:43,160 Speaker 5: many people now are coming out with social media is 682 00:37:43,200 --> 00:37:45,600 Speaker 5: coming out with you know, many of these people are 683 00:37:45,719 --> 00:37:49,560 Speaker 5: running you know, social media influencers that you know that 684 00:37:49,640 --> 00:37:56,480 Speaker 5: are completely done by their AI clone. So, you know, recently, 685 00:37:56,520 --> 00:37:58,680 Speaker 5: I just and I recently had you know, I was 686 00:37:58,719 --> 00:38:01,600 Speaker 5: listening to this one podcast in an individual who's very 687 00:38:01,640 --> 00:38:04,320 Speaker 5: high up there and has you know, a very very 688 00:38:04,360 --> 00:38:07,560 Speaker 5: significant following around the world, and he was, you know, 689 00:38:07,680 --> 00:38:10,919 Speaker 5: concerned about his likeness and concerned about you know, what's 690 00:38:10,960 --> 00:38:14,359 Speaker 5: going on there. And there certainly are risks and things 691 00:38:14,360 --> 00:38:18,400 Speaker 5: that we are going to experience as a result of 692 00:38:18,600 --> 00:38:21,360 Speaker 5: you know, AI and what's going to come of it 693 00:38:21,440 --> 00:38:21,839 Speaker 5: as well. 694 00:38:22,000 --> 00:38:24,279 Speaker 2: Becky, how could folks get in touch with you if 695 00:38:24,280 --> 00:38:25,880 Speaker 2: they would like to get more information? 696 00:38:27,320 --> 00:38:33,520 Speaker 5: Becky heidis dot com and that's my website. Hies h 697 00:38:33,719 --> 00:38:35,959 Speaker 5: E I D E S. 698 00:38:35,920 --> 00:38:36,880 Speaker 1: C h Oh. 699 00:38:37,120 --> 00:38:39,760 Speaker 2: Thank you very much. I'm still looking for my doppelganger, 700 00:38:39,880 --> 00:38:43,560 Speaker 2: so I hope I find my doppelganger before we find 701 00:38:43,560 --> 00:38:46,359 Speaker 2: my AI clone. Becky. I enjoyed it. I had fun. 702 00:38:46,400 --> 00:38:47,239 Speaker 2: Thank you very much. 703 00:38:48,160 --> 00:38:50,640 Speaker 5: You're welcome, thanks for having me. Take care and good luck. 704 00:38:50,719 --> 00:38:53,279 Speaker 2: I bet you okay, I'm going to need it. We 705 00:38:53,320 --> 00:38:55,839 Speaker 2: will be back right after the nine o'clock news here 706 00:38:55,880 --> 00:38:58,600 Speaker 2: at Night's side, and those of you who want to participate, 707 00:38:58,640 --> 00:39:00,319 Speaker 2: you can call me tonight and I am right in 708 00:39:00,360 --> 00:39:03,080 Speaker 2: the studio. We're gonna have a great show. I promise 709 00:39:03,080 --> 00:39:06,080 Speaker 2: gonna talk with Dan Shaughnessy the Boston Globe about the 710 00:39:07,040 --> 00:39:09,960 Speaker 2: stupid decision by the people who are the electors of 711 00:39:10,000 --> 00:39:12,880 Speaker 2: the NFL Hall of Fame. No matter how much of 712 00:39:12,920 --> 00:39:15,680 Speaker 2: a jerk Belichick can be, you can't keep them out 713 00:39:15,680 --> 00:39:16,560 Speaker 2: of the Hall of Fame.