1 00:00:01,000 --> 00:00:06,000 Speaker 1: It's night with Dan Ray. I'm telling you Boston's Beech Radio. 2 00:00:07,600 --> 00:00:10,200 Speaker 2: Thank you very much, Madison. As we move into a 3 00:00:10,480 --> 00:00:15,160 Speaker 2: Thursday night, What a nasty cold April second in Boston. 4 00:00:15,280 --> 00:00:18,639 Speaker 2: I hope that today was not your, anyone's birthday, or 5 00:00:20,200 --> 00:00:23,120 Speaker 2: any day to sell. It was a nasty cold day. 6 00:00:23,160 --> 00:00:25,200 Speaker 2: I think, one of the nastiest days of the winter. 7 00:00:25,280 --> 00:00:27,720 Speaker 2: But we're gonna warm you up with a great show tonight. 8 00:00:28,040 --> 00:00:32,159 Speaker 2: We have four really super guests coming up on different topics. 9 00:00:32,200 --> 00:00:35,000 Speaker 2: Then we're going to talk about the firing of US 10 00:00:35,040 --> 00:00:37,760 Speaker 2: Attorney General Pam Bondy. I think we'll get into that 11 00:00:38,040 --> 00:00:41,880 Speaker 2: pretty deeply. Also, we'll talk about at ten o'clock the 12 00:00:41,920 --> 00:00:44,720 Speaker 2: World Cup in Boston. Now, the World Cup looks like 13 00:00:44,760 --> 00:00:48,840 Speaker 2: it's running in some really big money problems. Boston Globe 14 00:00:49,000 --> 00:00:52,279 Speaker 2: article today which we will go over pretty carefully. There 15 00:00:52,360 --> 00:00:57,480 Speaker 2: was an event yesterday Michael Silverman and Chris Series wrote 16 00:00:57,480 --> 00:01:02,600 Speaker 2: a piece about Boston Soccer twenty six chief acknowledges fund 17 00:01:02,800 --> 00:01:06,520 Speaker 2: raising walls. I am not surprised about that, and maybe 18 00:01:06,520 --> 00:01:09,040 Speaker 2: some of you are. We'll see what happens, and then 19 00:01:09,600 --> 00:01:11,399 Speaker 2: if we have the time, we're going to get into 20 00:01:12,319 --> 00:01:16,600 Speaker 2: the Supreme Court hearing yesterday on birthright citizenship. I think 21 00:01:16,680 --> 00:01:18,760 Speaker 2: is pretty clear which way the quote's going to go 22 00:01:18,840 --> 00:01:21,319 Speaker 2: on that. But I also think that it's an interesting 23 00:01:21,680 --> 00:01:25,440 Speaker 2: counter argument that really wasn't made yesterday in the court, 24 00:01:25,440 --> 00:01:27,880 Speaker 2: and we'll throw it. We'll throw it out there a 25 00:01:27,959 --> 00:01:31,399 Speaker 2: little bit later on tonight. But first of our four 26 00:01:32,240 --> 00:01:36,679 Speaker 2: really interesting guest during this nightside News Update hour is 27 00:01:36,959 --> 00:01:40,800 Speaker 2: Emily Sweeney, who is normally with us every other Thursday, 28 00:01:41,480 --> 00:01:44,840 Speaker 2: and normally Emily, first of all, welcome back, Emily. How 29 00:01:44,840 --> 00:01:45,679 Speaker 2: are you doing tonight? 30 00:01:46,760 --> 00:01:48,600 Speaker 3: Excellent? Trying not to be too cold. 31 00:01:48,920 --> 00:01:53,000 Speaker 2: It was nasty out there today, It really felt I 32 00:01:53,040 --> 00:01:54,720 Speaker 2: thought it was one of the worst days of the winter. 33 00:01:55,240 --> 00:01:59,240 Speaker 2: I don't know, maybe I just too was looking forward 34 00:01:59,280 --> 00:02:03,760 Speaker 2: to spring. Normally, Emily is here with cold case files 35 00:02:03,760 --> 00:02:08,400 Speaker 2: and tells us about horrible crimes that maybe you're twenty 36 00:02:08,480 --> 00:02:11,560 Speaker 2: or even older, thirty years old, and she's trying to 37 00:02:11,880 --> 00:02:15,400 Speaker 2: break those you know, solve those crimes, help police solve 38 00:02:15,400 --> 00:02:19,520 Speaker 2: those crimes. However, we're going to talk about a brazen 39 00:02:19,600 --> 00:02:26,600 Speaker 2: burglary at a magnificent Beverly, Massachusetts seaside mansion that only 40 00:02:26,639 --> 00:02:30,360 Speaker 2: happened last weekend. This is not a cold case, that 41 00:02:30,520 --> 00:02:31,000 Speaker 2: is for sure. 42 00:02:31,040 --> 00:02:35,160 Speaker 3: What's going on, Emily, Yeah, this is well, definitely a 43 00:02:35,160 --> 00:02:39,799 Speaker 3: hot story because it's really crazy what happened over the weekend, 44 00:02:39,880 --> 00:02:44,680 Speaker 3: early Saturday morning, a masked intruder went into this mansion 45 00:02:45,000 --> 00:02:49,040 Speaker 3: and ended up, you know, dragging around the caretaker who 46 00:02:49,080 --> 00:02:51,040 Speaker 3: was the only person in the house at the time, 47 00:02:52,040 --> 00:02:56,400 Speaker 3: dragging her by her hair downstairs, ended up tying her 48 00:02:56,560 --> 00:03:00,520 Speaker 3: up and then leaving the mansion with some valuable stuff 49 00:03:01,280 --> 00:03:05,560 Speaker 3: and stealing a Porsche and took off in the Porsche. 50 00:03:06,800 --> 00:03:13,359 Speaker 3: And okay, yeah, it's a lot, so you know, thankfully 51 00:03:14,080 --> 00:03:18,000 Speaker 3: the woman who was tied up was able to free herself. 52 00:03:18,480 --> 00:03:21,640 Speaker 3: She went over to her neighbor's house and called for 53 00:03:21,760 --> 00:03:28,880 Speaker 3: help and she's okay, and the obviously very traumatized. The 54 00:03:29,160 --> 00:03:34,560 Speaker 3: Porsche was later found in Lynn. And right now, I mean, 55 00:03:34,639 --> 00:03:36,960 Speaker 3: I've been working on the story all week with my 56 00:03:37,080 --> 00:03:40,720 Speaker 3: colleague Leah Scheme, and we've been trying to get more 57 00:03:40,720 --> 00:03:44,560 Speaker 3: information and we've been interviewing everybody we can and as 58 00:03:44,640 --> 00:03:48,440 Speaker 3: of right now, there haven't been any announced arrests. 59 00:03:48,600 --> 00:03:51,320 Speaker 2: Okay, so let me know, Yeah, you said there's a 60 00:03:51,360 --> 00:03:54,720 Speaker 2: caretaker on the property. Is there a family? This is 61 00:03:54,880 --> 00:03:57,600 Speaker 2: I'm looking at the picture that you had in the globe. 62 00:03:58,480 --> 00:04:01,800 Speaker 2: This is stated at thirty four payin Avenue in Beverly. 63 00:04:02,600 --> 00:04:08,040 Speaker 2: By the way, is that a Beverly Farms. There's a 64 00:04:08,080 --> 00:04:13,800 Speaker 2: couple of real posh neighborhoods up there. Yeah, this prosing 65 00:04:13,920 --> 00:04:16,480 Speaker 2: I guess this. This is in Pride Crossing. 66 00:04:17,440 --> 00:04:20,839 Speaker 3: Yes, it's in Prize cross And it's something like out 67 00:04:20,839 --> 00:04:23,120 Speaker 3: of a movie. It looks like The Great Gatsby or something. 68 00:04:23,200 --> 00:04:27,000 Speaker 3: This mansion is twenty eight thousand square seed a living space, 69 00:04:27,120 --> 00:04:30,240 Speaker 3: twelve bathrooms. Like, what do you do with twelve bathrooms? 70 00:04:30,240 --> 00:04:33,720 Speaker 3: I always want to you know, I talked about homeowner 71 00:04:34,200 --> 00:04:38,320 Speaker 3: and he was you know, I really appreciate that. You know, 72 00:04:38,360 --> 00:04:40,880 Speaker 3: he even took the time to speak with me. But 73 00:04:41,240 --> 00:04:43,640 Speaker 3: you know, he gave me the rundown of what happened. 74 00:04:44,080 --> 00:04:46,720 Speaker 3: And he said that the caretaker that was there has 75 00:04:46,760 --> 00:04:51,080 Speaker 3: been employed by his by his family for about eight 76 00:04:51,160 --> 00:04:53,680 Speaker 3: years and has like lived with the family. He said 77 00:04:53,720 --> 00:04:58,000 Speaker 3: he considers her family friend, right, And you know, he 78 00:04:58,040 --> 00:04:59,120 Speaker 3: made that really clear. 79 00:04:59,680 --> 00:05:04,120 Speaker 2: So she's not, in any way, shape or form thought 80 00:05:04,200 --> 00:05:08,080 Speaker 2: to have been suspect. I mean, she got treated pretty badly. 81 00:05:09,000 --> 00:05:13,400 Speaker 3: Yeah, she definitely got you know, banged up and you know, 82 00:05:13,520 --> 00:05:17,320 Speaker 3: investigators have to eliminate everybody, right and you know, with 83 00:05:17,400 --> 00:05:21,120 Speaker 3: the size of this house, you know, I don't have 84 00:05:21,200 --> 00:05:24,640 Speaker 3: any confirmation, but I would imagine that there may have 85 00:05:24,680 --> 00:05:27,880 Speaker 3: been other people at some point in time working on this. 86 00:05:28,120 --> 00:05:32,320 Speaker 3: You know, it's a gigantic property. And even Tom Swan, 87 00:05:32,760 --> 00:05:35,960 Speaker 3: the mansion's owner, he told me that, you know, whoever 88 00:05:36,040 --> 00:05:38,680 Speaker 3: did this seemed very familiar with the house. You know, 89 00:05:38,720 --> 00:05:42,240 Speaker 3: you're talking twenty eight thousand square feet, and it seemed 90 00:05:42,279 --> 00:05:44,000 Speaker 3: like they knew what they were looking for and what 91 00:05:44,040 --> 00:05:45,640 Speaker 3: they said was extremely valuable. 92 00:05:45,920 --> 00:05:48,960 Speaker 2: Is the property owned by a family, this fellow who 93 00:05:49,000 --> 00:05:54,120 Speaker 2: you just mentioned, mister Swan, is it their home or 94 00:05:54,240 --> 00:05:57,520 Speaker 2: is it owned by you know, some form of a 95 00:05:57,640 --> 00:05:59,720 Speaker 2: trust or an estate or something like that. 96 00:06:00,160 --> 00:06:05,120 Speaker 3: You know, Yeah, so Tom Swan owns the mansion. He 97 00:06:05,960 --> 00:06:10,039 Speaker 3: I believe he has other properties as well. And the 98 00:06:10,120 --> 00:06:12,400 Speaker 3: caretaker that who was there, you know, he he was 99 00:06:12,440 --> 00:06:14,960 Speaker 3: out of town and he had been out of town 100 00:06:15,600 --> 00:06:17,240 Speaker 3: I think it for a day or two, you know 101 00:06:17,279 --> 00:06:18,159 Speaker 3: when this happened. 102 00:06:18,560 --> 00:06:22,760 Speaker 2: Does mister Swan live there with family members or is 103 00:06:22,800 --> 00:06:26,520 Speaker 2: it a home that is used for you know, parties 104 00:06:26,560 --> 00:06:30,440 Speaker 2: in the summer time? Whatever I mean it's a twenty 105 00:06:30,480 --> 00:06:33,839 Speaker 2: million dollar home. We're not talking about a little bungalow. 106 00:06:35,200 --> 00:06:35,440 Speaker 1: Yeah. 107 00:06:35,480 --> 00:06:38,800 Speaker 3: You know, I when I spoke with with with Tom 108 00:06:38,839 --> 00:06:41,760 Speaker 3: the other day, I was really focused on getting all 109 00:06:41,800 --> 00:06:44,640 Speaker 3: the information about like the burglary and stuff. So I'm 110 00:06:44,680 --> 00:06:47,159 Speaker 3: not really sure how much time he splits among his 111 00:06:47,400 --> 00:06:52,279 Speaker 3: you know, you know, different places. But he definitely considers it, 112 00:06:52,440 --> 00:06:55,760 Speaker 3: considers it a family home, and you know, he definitely 113 00:06:55,760 --> 00:06:58,760 Speaker 3: spends time there for sure. And you know, he wasn't 114 00:06:58,760 --> 00:06:59,920 Speaker 3: there when this happens. 115 00:07:00,400 --> 00:07:04,560 Speaker 2: And again, I'm like you, I'm a reporter, so I 116 00:07:05,040 --> 00:07:08,240 Speaker 2: at heart, so I always ask questions. I'm assuming that 117 00:07:08,680 --> 00:07:12,920 Speaker 2: mister Swan must have a fairly good business or or 118 00:07:13,600 --> 00:07:16,720 Speaker 2: something to support a home like this, that he any chance, 119 00:07:16,960 --> 00:07:19,080 Speaker 2: I've never heard the gentleman's name, you know that he 120 00:07:20,400 --> 00:07:22,720 Speaker 2: you know, if this was a home that Mark Zuckerberg 121 00:07:22,840 --> 00:07:24,600 Speaker 2: or Bill Gates was living in, you might say, well, 122 00:07:24,640 --> 00:07:26,720 Speaker 2: I understand that Bill Gates could afford a home like this, 123 00:07:26,840 --> 00:07:28,679 Speaker 2: that any idea what he does for a living. 124 00:07:29,560 --> 00:07:33,360 Speaker 3: Yeah, So you know, mister Swan's had a very successful career, 125 00:07:33,960 --> 00:07:37,560 Speaker 3: formally worked as a lawyer and an investment banker, and 126 00:07:37,600 --> 00:07:44,240 Speaker 3: he's currently a co CEO of the Swan group. And yeah, 127 00:07:44,520 --> 00:07:48,680 Speaker 3: and with the family business that owns other businesses, and 128 00:07:49,680 --> 00:07:52,960 Speaker 3: you know, it's definitely successful enough to you know, have 129 00:07:53,040 --> 00:07:56,040 Speaker 3: this amazing, amazing property as. 130 00:07:56,240 --> 00:07:59,000 Speaker 2: As we would say where I grew up in Reville. 131 00:07:59,080 --> 00:08:01,120 Speaker 2: Good work if you can get it, whatever he does. 132 00:08:02,200 --> 00:08:04,880 Speaker 3: Yeah, you know, we said that in Field's Corner in Dorchester. 133 00:08:05,240 --> 00:08:07,680 Speaker 2: No, I understand that. That's why, trust me, why I 134 00:08:07,800 --> 00:08:11,119 Speaker 2: mentioned it to you. So so at this point Saturday morning, 135 00:08:11,160 --> 00:08:15,720 Speaker 2: it's now five days later. Let's see Sunday, Monday, Tuesday, Wednesday, Thursday. Yeah, okay, fine, 136 00:08:15,760 --> 00:08:19,200 Speaker 2: five days later and there's still a no break in 137 00:08:19,240 --> 00:08:22,160 Speaker 2: the case. But this is not a gold case. And 138 00:08:22,600 --> 00:08:25,280 Speaker 2: anything other than the Porsche that was taken. I mean, 139 00:08:25,560 --> 00:08:29,000 Speaker 2: there must have been something internally in the house that 140 00:08:29,240 --> 00:08:31,560 Speaker 2: was of some value. I mean the Porsche is great, 141 00:08:31,640 --> 00:08:34,559 Speaker 2: I guess, but you know it's a stolen Porsche. At 142 00:08:34,559 --> 00:08:36,840 Speaker 2: some point you gotta it's a hot car, you gotta 143 00:08:36,880 --> 00:08:40,680 Speaker 2: dump it. Anything any other idea about what might have 144 00:08:40,760 --> 00:08:42,280 Speaker 2: been removed from the home. 145 00:08:43,600 --> 00:08:47,800 Speaker 3: We haven't gotten confirmation from police. And mister Sworn told me, 146 00:08:48,040 --> 00:08:50,720 Speaker 3: you know, what was taken was very, very valuable and 147 00:08:50,800 --> 00:08:53,160 Speaker 3: it appeared to been, you know, somebody who's familiar with 148 00:08:53,160 --> 00:08:58,880 Speaker 3: the house and targeting this this valuable stuff gotcha And yeah, 149 00:08:58,920 --> 00:09:01,160 Speaker 3: so I wish I had more, but we are working 150 00:09:01,160 --> 00:09:01,880 Speaker 3: on getting more. 151 00:09:03,360 --> 00:09:05,880 Speaker 2: Whenever you see something like that, you wonder that has 152 00:09:05,920 --> 00:09:09,440 Speaker 2: somebody obviously with one person. He's not walking out with 153 00:09:11,240 --> 00:09:16,680 Speaker 2: you know, heavy furniture or or whatever or or you know, yeah, 154 00:09:16,840 --> 00:09:20,920 Speaker 2: things like at the gardener. He didn't indicate what was taken, 155 00:09:21,160 --> 00:09:26,280 Speaker 2: meaning whether or not it was money or or you know, 156 00:09:27,520 --> 00:09:28,160 Speaker 2: long lost. 157 00:09:29,920 --> 00:09:32,520 Speaker 3: Due to the ongoing investigation, he was kind of limited 158 00:09:32,640 --> 00:09:35,079 Speaker 3: what you know he could tell me, and and we 159 00:09:35,120 --> 00:09:37,760 Speaker 3: did at the Globe. We have heard of you know, 160 00:09:38,120 --> 00:09:40,160 Speaker 3: we have an idea of what was taken, but until 161 00:09:40,200 --> 00:09:43,560 Speaker 3: we get confirmation from investigators, I don't want to you know, 162 00:09:43,640 --> 00:09:44,720 Speaker 3: put out just. 163 00:09:44,640 --> 00:09:46,520 Speaker 2: Between you and me and no one else is listening. 164 00:09:46,520 --> 00:09:52,120 Speaker 2: Now I'm only kidding. Yeah the record, Yeah there, they 165 00:09:52,120 --> 00:09:54,320 Speaker 2: were nice like this when I think to myself, gee, 166 00:09:54,360 --> 00:09:56,800 Speaker 2: I wish I was Emily Sweeney and doing doing the 167 00:09:56,880 --> 00:09:59,920 Speaker 2: reporting again, because this looks like an exciting I'm serious, 168 00:10:00,200 --> 00:10:02,439 Speaker 2: you know, this is an exciting story to get into, 169 00:10:02,520 --> 00:10:04,280 Speaker 2: and it's a sort of story that a good reporter 170 00:10:04,400 --> 00:10:06,679 Speaker 2: like you, a great reporter like you will get your 171 00:10:06,679 --> 00:10:11,959 Speaker 2: teeth into and this is this, this is what, this 172 00:10:12,000 --> 00:10:14,600 Speaker 2: is what gets the juices flowing if and I think 173 00:10:14,640 --> 00:10:17,439 Speaker 2: with people, whatever your business is, when when when something 174 00:10:17,440 --> 00:10:20,640 Speaker 2: comes along that's exciting. This is an exciting story. Sad story, 175 00:10:20,920 --> 00:10:22,719 Speaker 2: too bad that someone had to be roughed up, and 176 00:10:22,760 --> 00:10:25,600 Speaker 2: it's too bad that a family's home was broken into. 177 00:10:25,720 --> 00:10:30,280 Speaker 2: But wow, we will hopefully have an update on this 178 00:10:30,320 --> 00:10:33,160 Speaker 2: from you at some point in the not too distant 179 00:10:33,200 --> 00:10:37,240 Speaker 2: future and and a solution to this crime. Emily Sweeney, 180 00:10:37,720 --> 00:10:40,360 Speaker 2: once again, how can folks follow you in the Cold 181 00:10:40,440 --> 00:10:42,680 Speaker 2: Case Files. That's not what we're talking about tonight, but 182 00:10:42,720 --> 00:10:45,000 Speaker 2: a lot of people have said to me, oh, can 183 00:10:45,000 --> 00:10:48,559 Speaker 2: you can you make sure that Emily puts on the website? 184 00:10:49,360 --> 00:10:52,320 Speaker 2: Let it Let they can follow you for free and 185 00:10:52,400 --> 00:10:54,440 Speaker 2: follow what your work is. Go right ahead. 186 00:10:55,200 --> 00:10:57,640 Speaker 3: Yeah, even if you don't subscribe to the Globe, you 187 00:10:57,679 --> 00:11:02,120 Speaker 3: can subscribe to the hold Case Files newsletter that I write. 188 00:11:02,520 --> 00:11:06,880 Speaker 3: And if you put a Globe dot com slash Cold 189 00:11:06,960 --> 00:11:09,960 Speaker 3: Case Files, you can sign up right there with your 190 00:11:10,000 --> 00:11:11,320 Speaker 3: email and perfect. 191 00:11:11,720 --> 00:11:15,320 Speaker 2: Yeah, perfect, Emily, thank you so much, best of luck 192 00:11:15,640 --> 00:11:17,760 Speaker 2: on this case. I'm sure you're going to stay on 193 00:11:17,800 --> 00:11:21,280 Speaker 2: top of it. And the good thing about these cases 194 00:11:21,360 --> 00:11:24,400 Speaker 2: is there's always an answer, there's always a motive, and 195 00:11:24,640 --> 00:11:27,880 Speaker 2: if police get to put together the person who has 196 00:11:27,920 --> 00:11:30,760 Speaker 2: the motive and the means and the opportunity, generally that 197 00:11:30,920 --> 00:11:34,000 Speaker 2: narrows down the list of suspects. So thanks so much 198 00:11:34,040 --> 00:11:36,600 Speaker 2: for joining us tonight as always. 199 00:11:36,480 --> 00:11:38,640 Speaker 3: Well, thanks so much, Dan, I appreciate. 200 00:11:38,240 --> 00:11:42,080 Speaker 2: It all Right. When we get back, we're going to 201 00:11:42,720 --> 00:11:45,040 Speaker 2: change topics, but we're going to talk about a very 202 00:11:45,080 --> 00:11:49,559 Speaker 2: serious subject. Today actually is World Autism Day, and autism 203 00:11:49,760 --> 00:11:53,920 Speaker 2: is a condition that affects a lot of people all 204 00:11:54,000 --> 00:11:55,880 Speaker 2: over the world, all over the world. We're going to 205 00:11:55,960 --> 00:11:59,680 Speaker 2: talk with doctor Jessica Sasse. She's the president and chief 206 00:11:59,720 --> 00:12:03,600 Speaker 2: executive officer of a great school, a great organization called 207 00:12:03,640 --> 00:12:06,120 Speaker 2: the New England Center for Children in Southborough. I'm sure 208 00:12:06,160 --> 00:12:08,600 Speaker 2: most of you know about it. You stay with us, 209 00:12:08,600 --> 00:12:10,800 Speaker 2: and we're going to be back with doctor Sasse talking 210 00:12:10,840 --> 00:12:17,600 Speaker 2: about autism and what progress has been made on a 211 00:12:17,679 --> 00:12:20,600 Speaker 2: set of circumstances that affects more people than I think 212 00:12:20,640 --> 00:12:24,120 Speaker 2: most of us realize. Coming back on Nightside, You're on 213 00:12:24,320 --> 00:12:29,800 Speaker 2: Nightside with Dan Ray on WBZ Boston's news Radio Today, 214 00:12:29,840 --> 00:12:34,360 Speaker 2: amongst other things is World Autism Day, and indeed autism 215 00:12:34,520 --> 00:12:39,680 Speaker 2: is a condition that affects people in really every part 216 00:12:39,720 --> 00:12:42,200 Speaker 2: of the world. We're delighted to be joined by doctor 217 00:12:42,760 --> 00:12:47,679 Speaker 2: Jessica Sasse. She is the President chief executive officer of 218 00:12:47,679 --> 00:12:50,440 Speaker 2: the New England Center for Children out in Southborough. She 219 00:12:50,520 --> 00:12:54,120 Speaker 2: has more than twenty years of autism education and applied 220 00:12:54,320 --> 00:13:00,000 Speaker 2: behavior analysis experience. Doctor Sasse, Welcome to Nightside. How are you. 221 00:13:00,679 --> 00:13:01,520 Speaker 3: I'm doing great. 222 00:13:01,600 --> 00:13:03,320 Speaker 4: Thank you so much for having us tonight. 223 00:13:04,080 --> 00:13:06,320 Speaker 2: I used to do a lot of work with the 224 00:13:06,360 --> 00:13:10,120 Speaker 2: New England Center back in the day when your predecessor, 225 00:13:10,240 --> 00:13:12,680 Speaker 2: Vince Strawli was there. I did about, I would say, 226 00:13:12,840 --> 00:13:17,480 Speaker 2: anywhere from fifteen to twenty fundraisers at the Mechanics Hall 227 00:13:17,640 --> 00:13:21,319 Speaker 2: in Worcester. And it's a great organization and it does 228 00:13:21,360 --> 00:13:27,040 Speaker 2: great work. And before we talk about autism, I think 229 00:13:27,080 --> 00:13:29,440 Speaker 2: I'm correct when I say this is something that affects 230 00:13:29,520 --> 00:13:30,760 Speaker 2: people all over the world. 231 00:13:31,000 --> 00:13:36,560 Speaker 4: Correct, absolutely, absolutely, And the incidence of autism just keeps 232 00:13:36,679 --> 00:13:40,080 Speaker 4: rising and rising. Okay, recent yeah. 233 00:13:40,000 --> 00:13:40,400 Speaker 3: Go ahead. 234 00:13:40,559 --> 00:13:42,440 Speaker 2: Well, I just when you mentioned that there are some 235 00:13:42,480 --> 00:13:45,360 Speaker 2: people out there who try to say autism is because 236 00:13:45,360 --> 00:13:48,520 Speaker 2: of vaccines and things like that, and to the best 237 00:13:48,520 --> 00:13:50,920 Speaker 2: of my knowledge, and you probably have better dollar signed 238 00:13:50,960 --> 00:13:55,319 Speaker 2: to all of those theories about relationships between certain vaccines 239 00:13:55,320 --> 00:13:58,640 Speaker 2: that autism have been debunked. Correct. 240 00:14:00,120 --> 00:14:03,439 Speaker 4: Yes, yep, there are many, many studies and there's been 241 00:14:03,600 --> 00:14:07,480 Speaker 4: a real renewed interest in that. But it's true the 242 00:14:07,520 --> 00:14:10,480 Speaker 4: science shows time and time again that vaccines are safe. 243 00:14:10,800 --> 00:14:15,960 Speaker 2: Okay. So the question then, is, having put that issue aside, 244 00:14:16,400 --> 00:14:21,480 Speaker 2: why the incidents of autism increasing? Is it just more 245 00:14:21,520 --> 00:14:24,480 Speaker 2: people becoming aware of it, more people being diagnosed. What's 246 00:14:24,480 --> 00:14:25,240 Speaker 2: the thought on that. 247 00:14:26,760 --> 00:14:29,200 Speaker 4: Well, you know, that's a great question and there's a 248 00:14:29,320 --> 00:14:32,360 Speaker 4: ton of interest in it. You are right that one 249 00:14:32,440 --> 00:14:36,200 Speaker 4: of the factors is that there's just greater awareness, there's 250 00:14:36,280 --> 00:14:39,920 Speaker 4: better screening, people are on the lookout for it. That's 251 00:14:39,960 --> 00:14:43,680 Speaker 4: going to raise the numbers in and of itself. And 252 00:14:43,720 --> 00:14:46,480 Speaker 4: then what we do know about autism is that there 253 00:14:46,760 --> 00:14:50,440 Speaker 4: it doesn't seem that there's any one single risk factor. 254 00:14:50,480 --> 00:14:54,800 Speaker 4: There are a variety of risk factors environmental that could 255 00:14:54,840 --> 00:14:59,880 Speaker 4: be something like, you know, exposure to pollutants, parental age, 256 00:15:00,200 --> 00:15:03,480 Speaker 4: and so as we see a number of different trends, 257 00:15:03,480 --> 00:15:06,560 Speaker 4: it's possible that any one of those or interactions between 258 00:15:06,600 --> 00:15:11,000 Speaker 4: those risk factors are also causing increases in the prevalence. 259 00:15:11,600 --> 00:15:14,160 Speaker 2: The other thing which I always remember whenever we talk 260 00:15:14,200 --> 00:15:17,880 Speaker 2: about autism, it's it's a condition that has a spectrum 261 00:15:17,920 --> 00:15:20,560 Speaker 2: of impact. As I would describe it. You can have 262 00:15:20,560 --> 00:15:24,200 Speaker 2: people on one end of the who have autism, you know, 263 00:15:24,280 --> 00:15:28,960 Speaker 2: similar to the to the condition that Dustin Hoffman portrayed 264 00:15:28,960 --> 00:15:31,480 Speaker 2: in Rainman, and then at the other end you have 265 00:15:31,560 --> 00:15:35,800 Speaker 2: people who have Aspergers or lighte Aspergers. I'm kind of 266 00:15:35,800 --> 00:15:39,240 Speaker 2: of the belief, and I'm not a scientist, that there's 267 00:15:39,240 --> 00:15:47,680 Speaker 2: a lot of people who are smart, bright, organized doctors, lawyers, 268 00:15:47,880 --> 00:15:53,080 Speaker 2: people who are very organized that you have to have 269 00:15:53,280 --> 00:15:58,200 Speaker 2: a little bit of Aspergers to take on complicated positions 270 00:15:58,200 --> 00:16:00,840 Speaker 2: and jobs. And I think that this probably more people 271 00:16:00,880 --> 00:16:03,720 Speaker 2: with asperg Is that have any realization of it. Tell 272 00:16:03,760 --> 00:16:04,360 Speaker 2: me I'm wrong. 273 00:16:07,000 --> 00:16:10,960 Speaker 4: I'll tell you a couple things. One is that maybe 274 00:16:11,000 --> 00:16:17,320 Speaker 4: ten years ago that diagnostic manual actually folded that Asperger's 275 00:16:17,360 --> 00:16:20,960 Speaker 4: diagnoses into that whole autism spectrum that you referenced. But 276 00:16:21,040 --> 00:16:24,440 Speaker 4: you're right, there are a lot of people out there 277 00:16:24,480 --> 00:16:28,960 Speaker 4: that have a ton of skills, you know, brighter than average, 278 00:16:29,240 --> 00:16:34,480 Speaker 4: hyper focused, hyper interested in real particular stuff, and you 279 00:16:34,520 --> 00:16:39,080 Speaker 4: know they are diagnosed with autism. Now that you know 280 00:16:39,120 --> 00:16:44,080 Speaker 4: that's that's one really interesting manifestation of the disorder. What 281 00:16:44,160 --> 00:16:47,760 Speaker 4: we see in schools like ours. You know, in a 282 00:16:47,840 --> 00:16:50,480 Speaker 4: school like the New England Center for Children, where we're 283 00:16:50,480 --> 00:16:54,200 Speaker 4: working with kids that really need much more structured education 284 00:16:54,320 --> 00:16:58,200 Speaker 4: and environment, they are on that more severe, profound end 285 00:16:58,200 --> 00:17:02,320 Speaker 4: of the spectrum where you see those impacts on communication, 286 00:17:03,120 --> 00:17:06,320 Speaker 4: self care and the whole spectrum of skills. 287 00:17:08,160 --> 00:17:12,119 Speaker 2: So that's your your focus. But is it fair to 288 00:17:12,119 --> 00:17:16,120 Speaker 2: say that Asperger's is sort of a lighter case of 289 00:17:16,160 --> 00:17:19,000 Speaker 2: autism or do you like to draw a line that says, 290 00:17:19,040 --> 00:17:24,920 Speaker 2: on this side is Asperger's and on this site is autism. 291 00:17:23,000 --> 00:17:28,320 Speaker 4: Now, as far as current diagnostic practice, there's no more line. 292 00:17:28,680 --> 00:17:31,720 Speaker 4: Asperger's is right in there on the autism spectrum. 293 00:17:32,640 --> 00:17:35,399 Speaker 2: And then you folks do a lot of work or 294 00:17:35,480 --> 00:17:39,760 Speaker 2: do significant work in other parts of the world, and 295 00:17:39,800 --> 00:17:42,320 Speaker 2: of course do great work out of the New England 296 00:17:42,359 --> 00:17:46,359 Speaker 2: Center for Children in Southborough. If people want to get 297 00:17:46,400 --> 00:17:49,359 Speaker 2: in contact with the school, want to support the school, 298 00:17:50,240 --> 00:17:53,600 Speaker 2: I know that former Governor Mike Docaucus and his wife 299 00:17:53,720 --> 00:17:57,760 Speaker 2: Kitty Tucaccus were great supporters of the school and actually 300 00:17:57,840 --> 00:18:00,639 Speaker 2: helped get the school up and running back in the 301 00:18:00,720 --> 00:18:04,720 Speaker 2: nineteen eighties. How can people help the New England Center 302 00:18:04,760 --> 00:18:08,960 Speaker 2: for Children give us the website or what people can 303 00:18:09,080 --> 00:18:14,760 Speaker 2: do in either getting information or again being supportive financially 304 00:18:14,840 --> 00:18:16,960 Speaker 2: or otherwise, that. 305 00:18:16,920 --> 00:18:17,520 Speaker 3: Would be great. 306 00:18:17,760 --> 00:18:20,320 Speaker 4: That is the number one way to support our mission 307 00:18:20,480 --> 00:18:24,040 Speaker 4: is to get involved with philanthropic support. If you check 308 00:18:24,080 --> 00:18:29,560 Speaker 4: out our website at ANYCC dotorg, you will see all 309 00:18:29,600 --> 00:18:31,960 Speaker 4: of that information that you asked about us. There's a 310 00:18:32,000 --> 00:18:36,359 Speaker 4: donate button, there's a support us button, ways to get involved. 311 00:18:37,480 --> 00:18:40,639 Speaker 4: We have FAQs for people that are interested in learning 312 00:18:40,960 --> 00:18:44,399 Speaker 4: more about autism or have questions around some of the 313 00:18:44,400 --> 00:18:45,359 Speaker 4: things you've asked about. 314 00:18:46,119 --> 00:18:48,720 Speaker 2: Well, thank you very much. It's a pleasure to meet 315 00:18:48,720 --> 00:18:50,680 Speaker 2: you over the telephone, and at some point I'm sure 316 00:18:50,720 --> 00:18:55,119 Speaker 2: we will meet in person. But it's a great institution, 317 00:18:55,320 --> 00:18:58,840 Speaker 2: a great organization, and it's in our own backyard. And 318 00:18:58,880 --> 00:19:00,840 Speaker 2: I just thank you for the work you do and 319 00:19:00,920 --> 00:19:03,560 Speaker 2: for what everyone does at the New England Center for 320 00:19:03,680 --> 00:19:09,399 Speaker 2: Children in Southborough. Thank you so much, appreciate it. Okay, 321 00:19:09,520 --> 00:19:11,320 Speaker 2: thank you very much. We had a little bit of 322 00:19:11,320 --> 00:19:13,280 Speaker 2: trouble with that connection, but I don't think it broke 323 00:19:13,400 --> 00:19:15,800 Speaker 2: up too badly, so I hope all of the information 324 00:19:16,720 --> 00:19:21,119 Speaker 2: that we shared you had an opportunity to hear just 325 00:19:21,160 --> 00:19:23,040 Speaker 2: a little bit of breakup there. Not sure when we 326 00:19:23,080 --> 00:19:24,800 Speaker 2: come down. We're gonna when we come back right after 327 00:19:24,840 --> 00:19:27,080 Speaker 2: the news, is going to talk about the Massachusetts State Lottery. 328 00:19:27,160 --> 00:19:29,600 Speaker 2: Sales are down a little bit, okay in cities and 329 00:19:29,640 --> 00:19:32,040 Speaker 2: towns we're watching. We're going to talk with the chief 330 00:19:32,640 --> 00:19:36,280 Speaker 2: information officer at the lottery when we get back right 331 00:19:36,320 --> 00:19:37,920 Speaker 2: after the news at the bottom of the hour. 332 00:19:39,480 --> 00:19:44,159 Speaker 1: It's Night Side with Dan Ray on w Boston's news radio. 333 00:19:45,760 --> 00:19:48,080 Speaker 2: Well, all of us who have lived in Massachusetts for 334 00:19:48,119 --> 00:19:51,640 Speaker 2: a while know that the Massachusetts State Lottery was founded 335 00:19:51,720 --> 00:19:55,280 Speaker 2: way back in the early nineteen seventies, and I believe 336 00:19:55,320 --> 00:19:59,080 Speaker 2: the first lottery state lottery in the nation, and certainly 337 00:19:59,280 --> 00:20:02,880 Speaker 2: over that period of time the most successful state lottery. 338 00:20:03,440 --> 00:20:06,199 Speaker 2: The State Lottery has a little bit of dip in 339 00:20:06,320 --> 00:20:09,440 Speaker 2: their sales and their revenue, and cities and towns are 340 00:20:09,520 --> 00:20:11,640 Speaker 2: a little bit concerned, as you would expect, and they're 341 00:20:11,680 --> 00:20:15,320 Speaker 2: watching so with us perhaps to allay some apprehensions and 342 00:20:15,359 --> 00:20:18,000 Speaker 2: talk about what the reality is the lottery is facing. 343 00:20:18,080 --> 00:20:22,320 Speaker 2: Is Christian Tijer. He is the chief Lottery Officer for 344 00:20:22,359 --> 00:20:26,200 Speaker 2: the Massachusetts State Lottery Commission and Christian. I assume Eye 345 00:20:26,320 --> 00:20:28,720 Speaker 2: Lottery stands for Information. 346 00:20:28,359 --> 00:20:33,679 Speaker 1: Lottery, well information lottery, but Internet Lottery are the online lottery, 347 00:20:33,680 --> 00:20:37,640 Speaker 1: which we're excited too, Okay, on board sometime this summer. Yeah, 348 00:20:38,000 --> 00:20:40,200 Speaker 1: very excited about that. It was passed a year and 349 00:20:40,200 --> 00:20:42,520 Speaker 1: a half or so ago, and now we're very excited 350 00:20:42,520 --> 00:20:44,600 Speaker 1: to be able to start offering our products online sometimes 351 00:20:44,640 --> 00:20:45,040 Speaker 1: the summer. 352 00:20:45,400 --> 00:20:49,919 Speaker 2: So I am always interested in new trends. So you 353 00:20:49,920 --> 00:20:52,080 Speaker 2: would want I know at one point where the chief 354 00:20:53,320 --> 00:20:56,880 Speaker 2: information officer for the lottery. But so now we will 355 00:20:56,920 --> 00:20:59,960 Speaker 2: have an Eye Lottery as an adjunct to the state 356 00:21:00,160 --> 00:21:03,880 Speaker 2: lottery or is it just you know, an appendage give 357 00:21:03,920 --> 00:21:05,480 Speaker 2: it you've explain. 358 00:21:05,200 --> 00:21:08,560 Speaker 1: How that would sure, yes, i'll i'll be within the 359 00:21:08,560 --> 00:21:12,480 Speaker 1: mass Lottery. We've been selling out retail, as you've noted 360 00:21:12,520 --> 00:21:15,320 Speaker 1: for over fifty years, and as you will know, that 361 00:21:15,440 --> 00:21:18,119 Speaker 1: money supports the three hundred and fifty one cities and 362 00:21:18,119 --> 00:21:22,119 Speaker 1: towns in Massachusetts. Now, the Eye Lottery, the Internet Lottery 363 00:21:22,119 --> 00:21:25,720 Speaker 1: will be supporting early childhood education and care as dictated 364 00:21:25,760 --> 00:21:28,680 Speaker 1: by the legislation that was passed by the legislature and 365 00:21:28,960 --> 00:21:31,840 Speaker 1: signed into law. So the retail. We're still one hundred 366 00:21:31,880 --> 00:21:34,800 Speaker 1: percent committed to the retail products and for those cities 367 00:21:34,800 --> 00:21:37,520 Speaker 1: and towns. But now we have you know, we'll have 368 00:21:37,560 --> 00:21:41,040 Speaker 1: additional offerings. You'll have your traditional draw games like Powerball, 369 00:21:41,320 --> 00:21:43,919 Speaker 1: Mega Millions and Megabucks that will be able to be 370 00:21:43,960 --> 00:21:47,480 Speaker 1: purchased online in addition to what's called the instant games 371 00:21:47,680 --> 00:21:50,480 Speaker 1: that they're not the same as is the traditional scratch tickets, 372 00:21:50,520 --> 00:21:52,639 Speaker 1: a little bit different type of a gameplay, but we 373 00:21:52,720 --> 00:21:55,760 Speaker 1: are very excited and think it's going to attract maybe 374 00:21:55,800 --> 00:22:00,040 Speaker 1: a different audience while still maintaining our strong commitment to 375 00:22:00,080 --> 00:22:02,560 Speaker 1: our retail partners in the city and towns. 376 00:22:02,920 --> 00:22:05,280 Speaker 2: Well, it's it's been a huge success, but there's been 377 00:22:05,320 --> 00:22:07,520 Speaker 2: a little bit of a revenue drop off. I guess 378 00:22:07,560 --> 00:22:10,920 Speaker 2: all of a sudden, now we have legalized sports betting 379 00:22:10,960 --> 00:22:14,919 Speaker 2: here in Massachusetts. We have at least one casino in 380 00:22:15,000 --> 00:22:18,240 Speaker 2: Massachusetts and a few others around New England. So the 381 00:22:18,359 --> 00:22:23,680 Speaker 2: competition for the gaming dollar is becoming more diverse. H 382 00:22:24,280 --> 00:22:27,800 Speaker 2: and therefore it's a little bit more competitive. Where are 383 00:22:27,840 --> 00:22:30,200 Speaker 2: we when they say the lot of resales are down, 384 00:22:30,280 --> 00:22:32,320 Speaker 2: Let's let's talk about the good, the bad, and the ugly. 385 00:22:32,400 --> 00:22:34,320 Speaker 2: We can start with either the bad or the ugly, 386 00:22:34,400 --> 00:22:37,600 Speaker 2: whichever you want. How bad, how badly are we down? 387 00:22:38,920 --> 00:22:42,639 Speaker 1: It's not dramatic, it's not a dramatic right now. The 388 00:22:42,880 --> 00:22:46,280 Speaker 1: biggest drop has been in the in scratch tickets, that's 389 00:22:47,280 --> 00:22:49,600 Speaker 1: US two thirds of our business, and that those numbers 390 00:22:49,600 --> 00:22:52,480 Speaker 1: have been down over the last year or two. And 391 00:22:52,520 --> 00:22:56,880 Speaker 1: it's really an industry wide trend. We're seeing the draw 392 00:22:56,960 --> 00:22:59,720 Speaker 1: games like Powerball and Mega Millions, those tend to be 393 00:23:00,280 --> 00:23:02,719 Speaker 1: really driven by jackpots. A couple of years ago there 394 00:23:02,720 --> 00:23:05,560 Speaker 1: were the big billion dollar jackpots, a whole string of them, 395 00:23:05,600 --> 00:23:07,960 Speaker 1: and that really drove sales of those games, and the 396 00:23:08,000 --> 00:23:10,240 Speaker 1: last year and a half or so really haven't seen 397 00:23:10,280 --> 00:23:13,600 Speaker 1: as much. There was a big jackpot for Powerball earlier 398 00:23:13,600 --> 00:23:17,480 Speaker 1: this year that has helped with the sales. So yeah, 399 00:23:17,480 --> 00:23:18,800 Speaker 1: I mean, if you look at the February I think 400 00:23:18,840 --> 00:23:21,560 Speaker 1: we're you know, the numbers that were most recently reported 401 00:23:21,560 --> 00:23:24,080 Speaker 1: earlier this week were from February. And you do also 402 00:23:24,080 --> 00:23:26,159 Speaker 1: have to remember in February the state pretty much the 403 00:23:26,200 --> 00:23:27,360 Speaker 1: whole state was shut down. 404 00:23:27,160 --> 00:23:32,080 Speaker 2: For you, Yes, twice, they were two big storms separated. 405 00:23:33,160 --> 00:23:35,360 Speaker 2: So so what, well, you never really make that up. Yeah, 406 00:23:35,359 --> 00:23:37,480 Speaker 2: how much? How much was it down? How much? Five? 407 00:23:39,600 --> 00:23:41,520 Speaker 1: Yeah, so for the month it was down about four 408 00:23:41,560 --> 00:23:46,320 Speaker 1: percent for February. Okay, But the good news is that 409 00:23:46,359 --> 00:23:49,199 Speaker 1: the profit is actually slightly higher this year because so 410 00:23:49,359 --> 00:23:52,919 Speaker 1: far with instant tickets, the payout is higher. It blends 411 00:23:52,960 --> 00:23:56,000 Speaker 1: to about a high seventies, like seventy seven percent out 412 00:23:56,080 --> 00:23:58,440 Speaker 1: rate when you factor in all instant tickets. The draw 413 00:23:58,520 --> 00:24:03,720 Speaker 1: games tend to it's a greater takeout for the state 414 00:24:04,359 --> 00:24:06,480 Speaker 1: in terms of more like you know, fifty to forty 415 00:24:06,480 --> 00:24:09,639 Speaker 1: percent depending on the game. So when the instant ticket 416 00:24:09,680 --> 00:24:12,359 Speaker 1: sales are down, what was also less winning in the 417 00:24:12,400 --> 00:24:15,000 Speaker 1: inst the tickets, so the price it actually helped balances 418 00:24:15,040 --> 00:24:17,600 Speaker 1: it out in terms of our profit. So the good 419 00:24:17,640 --> 00:24:21,160 Speaker 1: news is from a profitability standpoint where pretty much about 420 00:24:21,200 --> 00:24:23,560 Speaker 1: the same as last year has maybe slightly had action. 421 00:24:23,880 --> 00:24:27,440 Speaker 2: A little bit of diversification in whatever form you find. 422 00:24:27,440 --> 00:24:32,960 Speaker 2: The diversification helps any company that's any business, state, business, 423 00:24:33,359 --> 00:24:39,960 Speaker 2: or otherwise. So the future of the lottery. I'm old 424 00:24:40,040 --> 00:24:42,439 Speaker 2: enough to remember when they would have the drawing at 425 00:24:42,480 --> 00:24:46,480 Speaker 2: eleven o'clock at night or at ten fifty seven at night, 426 00:24:46,560 --> 00:24:50,600 Speaker 2: and they would have the balls dropping, and it was 427 00:24:50,920 --> 00:24:54,600 Speaker 2: it was must see TV. And I remember Channel four 428 00:24:54,640 --> 00:24:59,760 Speaker 2: where I worked, had the lottery drawing at ten fifty 429 00:25:00,160 --> 00:25:02,960 Speaker 2: and and that was a that was a big lead 430 00:25:03,080 --> 00:25:07,280 Speaker 2: into the eleven o'clock news. I know that that the 431 00:25:07,320 --> 00:25:12,000 Speaker 2: world has changed. How will the Eye Lottery, you know, 432 00:25:12,040 --> 00:25:14,960 Speaker 2: which which I guess is currently in the process of 433 00:25:15,040 --> 00:25:19,239 Speaker 2: coming online. How will people be able to access that? 434 00:25:19,880 --> 00:25:22,880 Speaker 2: And how popular do you think it will be right 435 00:25:22,880 --> 00:25:25,040 Speaker 2: out of the gate? Sure? 436 00:25:25,119 --> 00:25:27,080 Speaker 1: Yeah, there's about ten or twelve other states that are 437 00:25:27,080 --> 00:25:30,920 Speaker 1: doing it now in different fashions. Neighbors to the north 438 00:25:31,000 --> 00:25:34,119 Speaker 1: and south and west of US are all all offering it. 439 00:25:34,359 --> 00:25:37,960 Speaker 1: In Rhode Island, Connecticut, New Hampshire. The states that have 440 00:25:38,000 --> 00:25:41,720 Speaker 1: been really successful Virginia, Michigan. We've looked a lot at 441 00:25:41,880 --> 00:25:45,520 Speaker 1: how they've been doing it and doing it very successfully. 442 00:25:45,560 --> 00:25:48,360 Speaker 1: And so people will register for an account and everything 443 00:25:48,880 --> 00:25:53,160 Speaker 1: is age verified. Age verification one distinction between the Eye 444 00:25:53,160 --> 00:25:55,879 Speaker 1: Lottery and the retail lottery. It's going to be twenty 445 00:25:55,880 --> 00:25:58,919 Speaker 1: one plus for Eye Lottery, so consistent with what it 446 00:25:59,000 --> 00:26:02,600 Speaker 1: is for the sports betting accounts. But and then so 447 00:26:02,720 --> 00:26:07,800 Speaker 1: geolocation age of verification must be within the confines of Massachusetts. 448 00:26:07,840 --> 00:26:13,200 Speaker 1: But setting up an account and you make deposits online 449 00:26:13,200 --> 00:26:13,920 Speaker 1: and you're able. 450 00:26:13,760 --> 00:26:19,439 Speaker 2: To the games. Is it is it sports betting or 451 00:26:19,480 --> 00:26:23,400 Speaker 2: are you betting on you know the numbers and what what? 452 00:26:23,400 --> 00:26:25,720 Speaker 2: What are we betting on? Once we're on the EE lottery. 453 00:26:26,560 --> 00:26:28,640 Speaker 1: Sure, yeah, so won't be sports betting. That's all through 454 00:26:28,640 --> 00:26:31,480 Speaker 1: the Gaming Commission and the and the different providers there. 455 00:26:31,600 --> 00:26:35,919 Speaker 1: So we'll have the games Powerball, Mega Million's, mass Cash, Megabucks, 456 00:26:36,040 --> 00:26:38,639 Speaker 1: games like that, and then a lot of it is 457 00:26:38,760 --> 00:26:41,760 Speaker 1: called instant games. There will be about twenty e instant 458 00:26:41,760 --> 00:26:44,440 Speaker 1: games when we launch, and they're more kind of cascading 459 00:26:45,000 --> 00:26:50,120 Speaker 1: tumbler type games, getting five symbols in a row, things 460 00:26:50,160 --> 00:26:53,000 Speaker 1: like that, a little bit of a different style of 461 00:26:53,040 --> 00:26:57,480 Speaker 1: play than a traditional just kind of an instant ticket experience. 462 00:26:57,800 --> 00:27:01,160 Speaker 1: But it's proven to be very feeling in other states 463 00:27:01,320 --> 00:27:04,280 Speaker 1: and where in Massachusetts, as you know, the per capital 464 00:27:04,280 --> 00:27:09,160 Speaker 1: spending is on lottery is way above any other state 465 00:27:09,520 --> 00:27:11,840 Speaker 1: in in in the country and is actually third in 466 00:27:11,880 --> 00:27:15,280 Speaker 1: the entire world of any lottery. So we're confident that 467 00:27:15,280 --> 00:27:19,120 Speaker 1: that our Massachusetts players will will welcome this, this new 468 00:27:19,560 --> 00:27:20,560 Speaker 1: new offering that we have. 469 00:27:21,040 --> 00:27:24,840 Speaker 2: Okay, so let's say move it out a year from 470 00:27:24,880 --> 00:27:27,240 Speaker 2: now or two years from now, once the Eye Lottery 471 00:27:27,280 --> 00:27:32,640 Speaker 2: has had a chance to get established, I'm sure that 472 00:27:32,720 --> 00:27:37,480 Speaker 2: there will be some leakage of traditional lottery players who 473 00:27:37,520 --> 00:27:42,400 Speaker 2: will stop maybe spending as much at their local variety 474 00:27:42,440 --> 00:27:46,520 Speaker 2: store or or seven to eleven? Have you? Have you 475 00:27:46,960 --> 00:27:49,119 Speaker 2: finded the pun game to that out? You're going to 476 00:27:49,280 --> 00:27:52,200 Speaker 2: pick up some new people, But I assume that your 477 00:27:52,280 --> 00:27:56,400 Speaker 2: more traditional lottery group of players, some of them will 478 00:27:56,440 --> 00:27:59,800 Speaker 2: migrate to the Eye Lottery. Any idea, I mean, what 479 00:28:00,400 --> 00:28:02,399 Speaker 2: how you feel the all balance out of the end? 480 00:28:02,440 --> 00:28:05,320 Speaker 2: Will it will it end up being you know, fifty 481 00:28:06,000 --> 00:28:09,479 Speaker 2: in total bigger than you are now? Or will it 482 00:28:10,200 --> 00:28:11,840 Speaker 2: do you where do you figure you'll be a couple 483 00:28:11,880 --> 00:28:12,520 Speaker 2: of years from now. 484 00:28:13,480 --> 00:28:16,880 Speaker 1: Yeah, we're confident that the retail business will not be 485 00:28:16,920 --> 00:28:20,159 Speaker 1: adversely affected. In fact, in many states, the I Lottery 486 00:28:20,160 --> 00:28:24,360 Speaker 1: has been able to assist and drive sales to retail 487 00:28:24,400 --> 00:28:27,600 Speaker 1: because we're going to have the promotional vehicles that we 488 00:28:27,680 --> 00:28:32,320 Speaker 1: have available to us now with digital marketing and digital advertising, 489 00:28:32,640 --> 00:28:35,199 Speaker 1: and we're really going to be able to cross promote, 490 00:28:35,240 --> 00:28:38,600 Speaker 1: cross promote the products. We'll be able to do potentially 491 00:28:38,640 --> 00:28:43,240 Speaker 1: offers where you you know, make a purchase on online 492 00:28:43,720 --> 00:28:46,800 Speaker 1: that would result in some sort of a coupon that 493 00:28:46,880 --> 00:28:51,280 Speaker 1: could be used at a retail location. So we're very 494 00:28:51,880 --> 00:28:53,959 Speaker 1: The one big thing is that it's still the lottery. 495 00:28:54,360 --> 00:28:57,080 Speaker 1: The logo above everything is going to be the Mass 496 00:28:57,120 --> 00:29:00,040 Speaker 1: State Lottery. We're gonna have retail and I Lottery, but 497 00:29:00,120 --> 00:29:02,120 Speaker 1: we're going to be very working, very close together. The 498 00:29:02,160 --> 00:29:06,160 Speaker 1: teams are working very hand in hand and to make 499 00:29:06,200 --> 00:29:08,920 Speaker 1: sure that that retail, our retail sales continued because, as 500 00:29:08,920 --> 00:29:10,480 Speaker 1: we said, the retail sales is what's going to be 501 00:29:10,520 --> 00:29:12,680 Speaker 1: supporting three or fifty one city in the town. So 502 00:29:13,080 --> 00:29:17,720 Speaker 1: we are as committed as ever to keeping our retail 503 00:29:17,760 --> 00:29:18,360 Speaker 1: sales strong. 504 00:29:18,640 --> 00:29:22,480 Speaker 2: Okay, final final question in I don't know if you 505 00:29:22,480 --> 00:29:26,000 Speaker 2: do fiscal year or you do annual sales. What was 506 00:29:26,040 --> 00:29:31,160 Speaker 2: the total lottery sales of the last year that you 507 00:29:31,200 --> 00:29:33,640 Speaker 2: can give me, And I'm just wondering what you project 508 00:29:33,680 --> 00:29:37,560 Speaker 2: the total sales will be a couple of years from now. 509 00:29:37,720 --> 00:29:40,240 Speaker 2: Just give me a rough idea. What what's the total sales? 510 00:29:40,280 --> 00:29:42,000 Speaker 2: I know what the payouts are and all of that, 511 00:29:42,040 --> 00:29:46,280 Speaker 2: but what are the total ticket sales last last year? Approximate? 512 00:29:46,360 --> 00:29:49,400 Speaker 1: Yeah, so last year was just under six billion. We've 513 00:29:49,440 --> 00:29:53,080 Speaker 1: been over six billion the last couple of years last year, 514 00:29:53,120 --> 00:29:55,920 Speaker 1: so right around the six billion mark at the retail level. 515 00:29:56,040 --> 00:29:58,520 Speaker 1: We really in terms of the projections on the Eye lottery, 516 00:29:58,840 --> 00:30:01,880 Speaker 1: it's difficult to forecast. I guess the main thing we're 517 00:30:01,880 --> 00:30:05,120 Speaker 1: focused on is what the return is for the net 518 00:30:05,160 --> 00:30:08,080 Speaker 1: profit is going to be for our lottery, which will 519 00:30:08,120 --> 00:30:10,480 Speaker 1: go to the early childhood education and care. And the 520 00:30:10,560 --> 00:30:13,160 Speaker 1: year one projection as we get off the ground is 521 00:30:13,200 --> 00:30:16,160 Speaker 1: about a seventy million in profit and then by year 522 00:30:16,240 --> 00:30:18,640 Speaker 1: three up to about one hundred and eighty million dollar profit, 523 00:30:18,800 --> 00:30:22,200 Speaker 1: year five over two hundred somewhere around two hundred thirty million. 524 00:30:22,560 --> 00:30:25,360 Speaker 1: So that's what really focused on is what we want 525 00:30:25,360 --> 00:30:26,040 Speaker 1: to deliver. 526 00:30:26,080 --> 00:30:28,880 Speaker 2: That'll be a positive. And of course you guys also 527 00:30:29,000 --> 00:30:32,000 Speaker 2: do have programs for people who find themselves spending a 528 00:30:32,040 --> 00:30:35,040 Speaker 2: little bit too much time involved playing the lottery, and 529 00:30:35,120 --> 00:30:37,040 Speaker 2: I know that you guys been very sensitive to that 530 00:30:37,160 --> 00:30:38,080 Speaker 2: over time. Correct. 531 00:30:39,000 --> 00:30:41,800 Speaker 1: Yes, we were very closely with the DPH, the Office 532 00:30:41,800 --> 00:30:44,800 Speaker 1: of Problem Gambling Services. We work as well with the 533 00:30:44,800 --> 00:30:49,520 Speaker 1: Massachusetts Council on Gaming and Health, and we've done campaigns 534 00:30:49,520 --> 00:30:54,360 Speaker 1: around the holidays and campaigns discouraging underage play, which has 535 00:30:54,400 --> 00:30:57,600 Speaker 1: been really talked about, not both lottery but also with 536 00:30:57,640 --> 00:30:59,880 Speaker 1: the sports betting. But yeah, we have great partners as 537 00:31:00,320 --> 00:31:03,840 Speaker 1: a strong commitment within the states responsible gambling, and it 538 00:31:03,880 --> 00:31:06,680 Speaker 1: will also be a component lottery. Think about I pottery. 539 00:31:06,720 --> 00:31:09,680 Speaker 1: There's a lot more mechanisms in place because right everything's 540 00:31:09,720 --> 00:31:13,360 Speaker 1: kind of anonymous play with retail play, but we'll be 541 00:31:13,400 --> 00:31:15,480 Speaker 1: able to really track and people. People will be able 542 00:31:15,480 --> 00:31:17,920 Speaker 1: to set their own limits. People can set limits on 543 00:31:18,880 --> 00:31:19,640 Speaker 1: within the island. 544 00:31:19,760 --> 00:31:22,880 Speaker 2: Positive too, that's a big positive. Yeah, Christian, I appreciate 545 00:31:22,880 --> 00:31:27,720 Speaker 2: it very much. Christian Tija, the Chief I Lottery Officer 546 00:31:27,800 --> 00:31:31,440 Speaker 2: for the Massachusettstate Lottery Commission, say hello to my pal 547 00:31:31,560 --> 00:31:34,120 Speaker 2: Mark Bracken and the state treasure when you talk to them. 548 00:31:34,160 --> 00:31:36,240 Speaker 1: Okay, thanks Christian, absolutely, thank you for your time. 549 00:31:36,520 --> 00:31:38,600 Speaker 2: My pleasure, My pleasure. We get back. We're going to 550 00:31:38,680 --> 00:31:44,040 Speaker 2: talk about a couple of big successful suits, one in 551 00:31:44,040 --> 00:31:47,959 Speaker 2: New Mexico, one in California against Meta in YouTube. We're 552 00:31:47,960 --> 00:31:50,800 Speaker 2: going to talk with doctor Barry Davis. He's a physician, scientist, 553 00:31:50,920 --> 00:31:56,120 Speaker 2: bio statistician, clinical trialist whose career was sented on prevention, 554 00:31:56,520 --> 00:32:00,120 Speaker 2: and we will we'll talk about some of the the 555 00:32:00,400 --> 00:32:04,000 Speaker 2: pitfalls of kids spending too much times and time in 556 00:32:04,040 --> 00:32:08,160 Speaker 2: front of their computers, and that's exactly what these cases 557 00:32:08,200 --> 00:32:10,680 Speaker 2: were about. We'll talk with Dr Barry Davis on the 558 00:32:10,720 --> 00:32:15,360 Speaker 2: other side of the break coming back right after. It's 559 00:32:15,480 --> 00:32:16,160 Speaker 2: Night Side with. 560 00:32:18,640 --> 00:32:19,880 Speaker 1: Boston's News Radio. 561 00:32:20,800 --> 00:32:23,120 Speaker 2: They I to be joined by Dr Barry Davis. He's 562 00:32:23,160 --> 00:32:27,640 Speaker 2: a physician, scientist, a biostatistician, clinical trialist whose career centered 563 00:32:27,680 --> 00:32:33,320 Speaker 2: on prevention, prevention of kids getting hooked on all sorts 564 00:32:33,320 --> 00:32:37,680 Speaker 2: of social media platforms. Dr Davis, Welcome to Nightside. How 565 00:32:37,680 --> 00:32:38,120 Speaker 2: are you, sir? 566 00:32:39,480 --> 00:32:40,760 Speaker 5: All right? Thank you for having me. 567 00:32:41,960 --> 00:32:45,880 Speaker 2: Two big cases last week, one in New Mexico, which 568 00:32:45,960 --> 00:32:48,920 Speaker 2: was a case where the state of Mexico, New Mexico 569 00:32:49,760 --> 00:32:53,800 Speaker 2: brought charges against a couple of the social media companies. 570 00:32:53,840 --> 00:32:58,760 Speaker 2: And then that was actually a bigger case, but the 571 00:32:58,800 --> 00:33:03,959 Speaker 2: potential Los Angeles case of the young woman who claimed 572 00:33:03,960 --> 00:33:10,560 Speaker 2: that since she was six years old, she basically became 573 00:33:10,840 --> 00:33:14,360 Speaker 2: entrapped I guess on these social websites, and I believe 574 00:33:14,440 --> 00:33:18,000 Speaker 2: that she received three million dollars in compensatory damages. I 575 00:33:18,040 --> 00:33:23,920 Speaker 2: don't know if there's been a subsequent judgment of punitive damages. 576 00:33:25,160 --> 00:33:30,800 Speaker 2: What is These are two big losses for Meta and 577 00:33:30,880 --> 00:33:34,200 Speaker 2: for YouTube. What are the implications of these cases. There's 578 00:33:34,360 --> 00:33:37,720 Speaker 2: there's more implications to these to these cases than just 579 00:33:37,760 --> 00:33:39,600 Speaker 2: the two cases that came down last week. 580 00:33:41,440 --> 00:33:45,720 Speaker 5: Yes, there are important because it shifts the focus from 581 00:33:46,440 --> 00:33:50,560 Speaker 5: the harmful content alone to harmful design. The legal arguments 582 00:33:50,640 --> 00:33:54,680 Speaker 5: is that these features like infinite scroll, auto play, and 583 00:33:54,760 --> 00:33:58,200 Speaker 5: constant engagements, when on accidental, they were product choices. 584 00:34:00,400 --> 00:34:04,360 Speaker 2: And why don't you explain them to my audience what 585 00:34:04,480 --> 00:34:06,280 Speaker 2: that means, because there are a lot of people who 586 00:34:06,320 --> 00:34:09,080 Speaker 2: are listening who are aware of the Internet and aware 587 00:34:09,160 --> 00:34:13,200 Speaker 2: of the platforms, but they don't understand how these are 588 00:34:13,239 --> 00:34:18,520 Speaker 2: set up to basically make kids and particularly young people 589 00:34:18,960 --> 00:34:21,520 Speaker 2: come back and come back and watch real after reel 590 00:34:21,640 --> 00:34:22,240 Speaker 2: after real. 591 00:34:23,600 --> 00:34:27,960 Speaker 5: Well, I said, on these automatic features where for example, 592 00:34:28,040 --> 00:34:30,279 Speaker 5: auto play, you don't have to go to the next one, 593 00:34:30,320 --> 00:34:33,920 Speaker 5: it just will play the next one automatically, or infinite 594 00:34:33,960 --> 00:34:37,480 Speaker 5: scroll allows you to just keep scrolling across the screen 595 00:34:37,520 --> 00:34:41,520 Speaker 5: it doesn't stop. And then there are these engagements which 596 00:34:41,640 --> 00:34:45,440 Speaker 5: sort of give clues. An example like that is just 597 00:34:45,760 --> 00:34:50,280 Speaker 5: the like button, but there are others that make people 598 00:34:50,560 --> 00:34:53,160 Speaker 5: more and more interested in just looking at the screen. 599 00:34:53,560 --> 00:34:58,319 Speaker 2: And by using your computer. There's ways in which the 600 00:34:58,400 --> 00:35:03,480 Speaker 2: companies can figure out what you're interested in, and so 601 00:35:03,520 --> 00:35:07,839 Speaker 2: they can feed into your into your habits, or into 602 00:35:07,880 --> 00:35:11,239 Speaker 2: the And we're not talking about necessarily, you know, pornography 603 00:35:11,320 --> 00:35:14,920 Speaker 2: or anything like that. We're talking about whatever the young person, 604 00:35:15,000 --> 00:35:18,640 Speaker 2: particularly in the case of the the young woman who's 605 00:35:18,680 --> 00:35:20,800 Speaker 2: now I guess twenty or twenty one years of age 606 00:35:21,480 --> 00:35:27,120 Speaker 2: in Los Angeles. They they are able to use through 607 00:35:27,880 --> 00:35:33,560 Speaker 2: all all sorts of features that are internal to the websites. 608 00:35:34,440 --> 00:35:37,200 Speaker 2: What what will keep you there? What what will make 609 00:35:37,280 --> 00:35:40,920 Speaker 2: you want to stay there on the screen on the computer? Correct? 610 00:35:42,239 --> 00:35:44,120 Speaker 5: Correct, that's exactly right. 611 00:35:46,040 --> 00:35:50,400 Speaker 2: And that is what the plaintiff in this case charged 612 00:35:51,239 --> 00:35:55,600 Speaker 2: and also what the jury believed. So what does what 613 00:35:55,760 --> 00:35:58,960 Speaker 2: sort of a precedent? Which of these two cases, the 614 00:35:59,000 --> 00:36:01,799 Speaker 2: New Mexico case which was brought by the state of 615 00:36:01,800 --> 00:36:08,920 Speaker 2: New Mexico against the websites, or the individual civil case, 616 00:36:09,400 --> 00:36:15,879 Speaker 2: which has more potential problems for these websites. Would you say, 617 00:36:15,920 --> 00:36:17,759 Speaker 2: are they both equally dangerous? 618 00:36:19,200 --> 00:36:23,719 Speaker 5: Well, they are equally dangerous, But I think the California 619 00:36:23,760 --> 00:36:26,759 Speaker 5: one might be the one that's more of a landmark 620 00:36:26,840 --> 00:36:29,919 Speaker 5: case in that we'll see what comes down the pike. 621 00:36:30,080 --> 00:36:35,680 Speaker 5: I know they're going to appeal it, but also there 622 00:36:35,719 --> 00:36:38,320 Speaker 5: are a whole bunch of other lawsuits in the works, 623 00:36:39,040 --> 00:36:41,640 Speaker 5: and we'll see if they're successful or not. 624 00:36:43,000 --> 00:36:46,640 Speaker 2: Do you think that the magnitude of these lawsuits could 625 00:36:46,640 --> 00:36:50,719 Speaker 2: have the potential of putting any of these websites out 626 00:36:50,760 --> 00:36:55,080 Speaker 2: of business? Or do they have to simply change the 627 00:36:55,120 --> 00:36:59,520 Speaker 2: way they're constructed to minimize damage going forward. 628 00:37:01,320 --> 00:37:04,160 Speaker 5: I would think the latter, because it's not, you know, 629 00:37:04,239 --> 00:37:08,040 Speaker 5: necessarily that people want these kind of things to go away. 630 00:37:08,120 --> 00:37:10,319 Speaker 5: They just want them to be better designed and not 631 00:37:10,640 --> 00:37:15,040 Speaker 5: being able to hook people, especially the young people on 632 00:37:15,160 --> 00:37:18,120 Speaker 5: these things because of the the bad effects they could 633 00:37:18,160 --> 00:37:19,280 Speaker 5: have on their development. 634 00:37:19,760 --> 00:37:22,520 Speaker 2: But isn't that the business model of these companies to 635 00:37:22,680 --> 00:37:23,360 Speaker 2: hook people? 636 00:37:25,320 --> 00:37:30,320 Speaker 5: Yes, but they would have to think about other ways 637 00:37:30,320 --> 00:37:32,480 Speaker 5: to do this. I mean, you know, you can make 638 00:37:32,560 --> 00:37:37,719 Speaker 5: money off of other kinds of designs rather than just 639 00:37:37,760 --> 00:37:41,719 Speaker 5: to do this. Okay, you know they have it's like 640 00:37:41,760 --> 00:37:45,240 Speaker 5: everything else. It's like everything else. I mean, big cooperations 641 00:37:45,320 --> 00:37:47,080 Speaker 5: do have some social responsibility. 642 00:37:47,640 --> 00:37:50,640 Speaker 2: Well, there's no question they have social responsibility, no question 643 00:37:50,680 --> 00:37:53,839 Speaker 2: about that, whether they want to acknowledge it or not. 644 00:37:54,320 --> 00:37:57,520 Speaker 2: But they also have financial reality as well. And when 645 00:37:57,600 --> 00:38:01,239 Speaker 2: some of these cases well rolling in, that has the 646 00:38:01,280 --> 00:38:01,960 Speaker 2: potential I. 647 00:38:01,920 --> 00:38:04,600 Speaker 5: Think of yes, yes, yes, you're right. 648 00:38:04,680 --> 00:38:10,520 Speaker 2: I mean that is making them recognize their social responsibility, right. 649 00:38:11,080 --> 00:38:14,120 Speaker 5: No, but I mean, you know, let's they have many, 650 00:38:14,200 --> 00:38:17,560 Speaker 5: many cases in history where companies do things and you 651 00:38:17,600 --> 00:38:20,759 Speaker 5: know that's in their self interest and for profit, but 652 00:38:20,840 --> 00:38:23,080 Speaker 5: they have to realize that in the long run that 653 00:38:24,239 --> 00:38:26,920 Speaker 5: it would be better off to to pull back a 654 00:38:26,960 --> 00:38:29,280 Speaker 5: little bit and do the do the right thing sometimes. 655 00:38:29,440 --> 00:38:32,359 Speaker 2: Right, Well, that's always a good a good rule of 656 00:38:32,400 --> 00:38:36,759 Speaker 2: life as well. But these algorithms which contributed to their 657 00:38:36,760 --> 00:38:41,560 Speaker 2: great success now have been identified as potentially their downfall, 658 00:38:41,680 --> 00:38:44,360 Speaker 2: and we'll have to continue to monitor and doctor Davis, 659 00:38:44,400 --> 00:38:46,960 Speaker 2: a pleasure to have you with us tonight, and we'd 660 00:38:46,960 --> 00:38:50,880 Speaker 2: love to have you back as these cases are adjudicated 661 00:38:50,920 --> 00:38:52,880 Speaker 2: going forward. Thank you so much for your time tonight. 662 00:38:54,000 --> 00:38:54,880 Speaker 5: Thank you for having me. 663 00:38:55,200 --> 00:39:00,440 Speaker 2: Very welcome, Doctor Barry Davis, physician, scientist, and biostatistician, clinical 664 00:39:00,480 --> 00:39:04,359 Speaker 2: trialist whose career is sented on prevention. When we get 665 00:39:04,360 --> 00:39:07,000 Speaker 2: back right after the nine o'clock news, going to talk 666 00:39:07,000 --> 00:39:13,400 Speaker 2: about the second big dismissal from President Trump's cabinet during 667 00:39:13,440 --> 00:39:18,960 Speaker 2: his second term, The Attorney General Pam bond Pam BONDI 668 00:39:19,200 --> 00:39:22,200 Speaker 2: was fired today by the President. We'll talk about why 669 00:39:22,680 --> 00:39:24,799 Speaker 2: and get your reaction to it. And we have some 670 00:39:24,840 --> 00:39:27,120 Speaker 2: other subjects coming up later on tonight which will be 671 00:39:27,200 --> 00:39:30,040 Speaker 2: equally interesting. Stay with us on night Side. It is 672 00:39:30,080 --> 00:39:31,879 Speaker 2: a cold Thursday night.