1 00:00:01,560 --> 00:00:03,920 Speaker 1: When you're ready to ride Metro, we want you to 2 00:00:03,960 --> 00:00:06,560 Speaker 1: know we're ready for you. Here are just a few 3 00:00:06,559 --> 00:00:08,399 Speaker 1: of the people at Metro to tell you how we're 4 00:00:08,440 --> 00:00:12,920 Speaker 1: doing our part to keep writers safe. Cleaning before half 5 00:00:13,119 --> 00:00:15,600 Speaker 1: the Great Queen you have found halfs out of suns 6 00:00:15,640 --> 00:00:20,680 Speaker 1: of statist no mask, no Metro need one. We have 7 00:00:20,760 --> 00:00:23,599 Speaker 1: a few extras at Metro. We're doing our part to 8 00:00:23,680 --> 00:00:26,160 Speaker 1: keep the DC area moving. Find out more at well 9 00:00:26,200 --> 00:00:31,560 Speaker 1: mata dot com slash doing our part story. Before we 10 00:00:31,560 --> 00:00:36,120 Speaker 1: get into some healthcare talk, had an appointment yesterday with 11 00:00:36,200 --> 00:00:38,959 Speaker 1: my son's doctor, who was a one of the best 12 00:00:39,040 --> 00:00:40,479 Speaker 1: in the world at what he does. I mean, he's 13 00:00:40,520 --> 00:00:43,879 Speaker 1: at a very very high level, which factors into this story. Okay, 14 00:00:44,000 --> 00:00:48,800 Speaker 1: so my son needs this particular treatment and for whatever reason, 15 00:00:49,720 --> 00:00:52,279 Speaker 1: the doctor told me that it's not covered by insurance. 16 00:00:52,360 --> 00:00:54,560 Speaker 1: Likely he will write a letter. Now he's he's the 17 00:00:54,560 --> 00:00:56,600 Speaker 1: best in the world at this right, but he will 18 00:00:56,600 --> 00:00:58,480 Speaker 1: write a letter. He said he usually gets turned down 19 00:00:58,480 --> 00:01:00,920 Speaker 1: by insurance companies even though he's the best doctor in 20 00:01:00,960 --> 00:01:03,640 Speaker 1: the world to who's recommending this And it's probably gonna 21 00:01:03,680 --> 00:01:09,160 Speaker 1: cost me between thirty and sixty thousand dollars cash for 22 00:01:09,200 --> 00:01:11,640 Speaker 1: this treatment for my son, which it's either he has 23 00:01:11,680 --> 00:01:14,400 Speaker 1: a crappy life forever or I get this treatment. So 24 00:01:14,440 --> 00:01:16,160 Speaker 1: it's not an option whether to do it or not. 25 00:01:16,400 --> 00:01:21,320 Speaker 1: It's serious brain thing. But thirty to sixty dollars cash, 26 00:01:21,520 --> 00:01:23,360 Speaker 1: even though the best doctor in the world says that 27 00:01:23,600 --> 00:01:27,080 Speaker 1: it is necessary. And you know, that's just where we 28 00:01:27,120 --> 00:01:29,600 Speaker 1: are with insurance and stuff. That would just be ruinous 29 00:01:29,640 --> 00:01:32,880 Speaker 1: to a lot of American families. Most of you can 30 00:01:32,880 --> 00:01:34,400 Speaker 1: take out a home equity loan, I guess, or you 31 00:01:34,400 --> 00:01:35,959 Speaker 1: would go fund me and have a you know, like 32 00:01:36,000 --> 00:01:39,080 Speaker 1: people do you have a barbecue picnic and pupe people 33 00:01:39,080 --> 00:01:43,039 Speaker 1: show you know whatever. But it's incredible what's covered and 34 00:01:43,080 --> 00:01:45,119 Speaker 1: what's not the best in the world says, oh, yes, 35 00:01:45,200 --> 00:01:48,919 Speaker 1: this is absolutely valid. This, this treatment is what is needed. 36 00:01:49,000 --> 00:01:51,560 Speaker 1: But the insurance company says, we'd like to that We're 37 00:01:51,600 --> 00:01:52,960 Speaker 1: going to look at it for a couple of mornings. 38 00:01:53,280 --> 00:01:57,120 Speaker 1: It's interesting. Yeah. Yeah. Craig got Walls is an attorney 39 00:01:57,120 --> 00:02:01,440 Speaker 1: at law benefit consultant. He is Craig the healthcare Guru. 40 00:02:01,480 --> 00:02:03,800 Speaker 1: In a private text to me, he suggested, how about 41 00:02:03,840 --> 00:02:06,520 Speaker 1: Craig the healthcare gangster. I thought that was not a 42 00:02:06,560 --> 00:02:10,480 Speaker 1: great idea, um, but he sure knows what he's talking about. 43 00:02:10,560 --> 00:02:12,800 Speaker 1: And and Craig, first of all, welcome, always good to 44 00:02:12,800 --> 00:02:16,800 Speaker 1: talk my friend. Thank you sir. Sorry to hear that story, Jack, 45 00:02:16,960 --> 00:02:19,480 Speaker 1: that's not a good one. That's just interesting. But you 46 00:02:19,520 --> 00:02:20,880 Speaker 1: know what occurred to me as I was thinking about 47 00:02:20,919 --> 00:02:24,040 Speaker 1: chatting with you today that healthcare is the number one 48 00:02:24,040 --> 00:02:26,639 Speaker 1: issue in politics these days other than I love Trump, 49 00:02:26,639 --> 00:02:29,560 Speaker 1: I hate Trump, um And I heard a commentator say 50 00:02:29,600 --> 00:02:32,920 Speaker 1: that mostly it's shouting slogans at each other and putting 51 00:02:32,919 --> 00:02:35,760 Speaker 1: bumper stickers on our car either the health care is 52 00:02:35,760 --> 00:02:38,200 Speaker 1: a right or no socialism. Then the minute you get 53 00:02:38,200 --> 00:02:40,920 Speaker 1: into details of any plan, your plan gets less and 54 00:02:41,000 --> 00:02:46,120 Speaker 1: less popular. Um and and and yet it's something every 55 00:02:46,160 --> 00:02:49,160 Speaker 1: single human being listening or participating in the show or 56 00:02:49,160 --> 00:02:54,440 Speaker 1: whatever deals with on probably a monthly basis. It's not more. 57 00:02:55,040 --> 00:02:57,920 Speaker 1: And so we're completely at sea at this about this 58 00:02:58,000 --> 00:02:59,799 Speaker 1: issue that we all deal with all the time. It's 59 00:02:59,840 --> 00:03:02,480 Speaker 1: kind of ironic. But anyway, and the older and the 60 00:03:02,480 --> 00:03:04,520 Speaker 1: older you get, the more you deal with it, and 61 00:03:04,560 --> 00:03:07,520 Speaker 1: the more powerful of a voting block you are too. Yeah, 62 00:03:07,639 --> 00:03:10,600 Speaker 1: that's a good point. So you send us some notes 63 00:03:10,639 --> 00:03:12,560 Speaker 1: on what you wanted to talk about today and it's 64 00:03:12,560 --> 00:03:16,800 Speaker 1: a great topic. Health insurers are collecting astonishing levels of 65 00:03:16,840 --> 00:03:19,880 Speaker 1: detail on your life and it's costing you. What what's 66 00:03:19,880 --> 00:03:22,880 Speaker 1: going on? So you guys had you guys had a 67 00:03:22,880 --> 00:03:26,240 Speaker 1: segment on your show recently that I heard a snip of, 68 00:03:26,320 --> 00:03:29,120 Speaker 1: and it was about employer wellness programs and how people 69 00:03:29,200 --> 00:03:33,600 Speaker 1: are voluntarily giving up a lot of their personal information 70 00:03:33,720 --> 00:03:36,680 Speaker 1: by wearing these wearable devices that tell you how often 71 00:03:36,720 --> 00:03:39,560 Speaker 1: they walk, how often they exercise, how well they sweep, etcetera. 72 00:03:39,920 --> 00:03:42,760 Speaker 1: And they're they're often doing that with their employer for 73 00:03:43,120 --> 00:03:46,280 Speaker 1: something like two to three hundred dollars off of their 74 00:03:46,320 --> 00:03:49,880 Speaker 1: insurance costs hundred a month something you wear a fitbit 75 00:03:49,960 --> 00:03:52,800 Speaker 1: all the time and the your your boss, your company 76 00:03:52,800 --> 00:03:57,560 Speaker 1: has access to all the info. Yes, and the reporting 77 00:03:57,600 --> 00:03:59,360 Speaker 1: on that story was what was well done and it 78 00:03:59,400 --> 00:04:02,160 Speaker 1: was accurate it but what what it what reminded me 79 00:04:02,240 --> 00:04:03,880 Speaker 1: was that you guys are not aware of what's going on. 80 00:04:04,000 --> 00:04:06,840 Speaker 1: So that's the stuff that people are consenting to write. 81 00:04:07,520 --> 00:04:09,520 Speaker 1: But you guys, we have never talked on your show 82 00:04:09,520 --> 00:04:12,480 Speaker 1: about what's going on behind the scenes. How much information 83 00:04:13,000 --> 00:04:16,240 Speaker 1: these entities are gaining on your life without your knowledge. 84 00:04:16,480 --> 00:04:20,440 Speaker 1: So little history just really quick on this insurance, the 85 00:04:20,440 --> 00:04:24,360 Speaker 1: theory of insurances that you're guarding against known or excuse me, 86 00:04:24,440 --> 00:04:27,360 Speaker 1: unknown risks. Right if you if you already have cancer, 87 00:04:27,480 --> 00:04:30,320 Speaker 1: you can't go buy insurance, or at least that was 88 00:04:30,360 --> 00:04:36,280 Speaker 1: the way things worked before Obamacare. Right, So once Obamacare 89 00:04:36,279 --> 00:04:39,719 Speaker 1: came along, Obamacare said, okay, now you can no longer 90 00:04:39,839 --> 00:04:42,640 Speaker 1: underwrite an individual based upon his or her health status. 91 00:04:42,680 --> 00:04:44,719 Speaker 1: In other words, you can't ask them whether or not 92 00:04:44,800 --> 00:04:48,760 Speaker 1: they have cancer. You just have to give them insurance. Well, 93 00:04:48,800 --> 00:04:51,599 Speaker 1: as Jack has pointed out hundreds of times on your show, 94 00:04:51,720 --> 00:04:54,400 Speaker 1: that's untenable. You can't do that. You can't just say, hey, 95 00:04:54,400 --> 00:04:56,680 Speaker 1: we'll provide insurance for anybody who shows up. Wait till 96 00:04:56,680 --> 00:04:59,880 Speaker 1: you break your arms, then show up. So what hell? 97 00:05:00,160 --> 00:05:03,720 Speaker 1: Insurance companies have been doing for the last decade and 98 00:05:03,800 --> 00:05:06,440 Speaker 1: really for the last twenty years. But but Obamacare launched, 99 00:05:06,480 --> 00:05:10,960 Speaker 1: it was, oh shoot, and here's a four trillion dollar 100 00:05:11,080 --> 00:05:14,400 Speaker 1: industry and we have to be able to keep it going. 101 00:05:14,440 --> 00:05:17,120 Speaker 1: And if we cannot underwrite based upon your health status, 102 00:05:17,160 --> 00:05:19,640 Speaker 1: we must be able to underwrite, in other words, but 103 00:05:19,720 --> 00:05:23,000 Speaker 1: through toicate the risk based upon other things. So what 104 00:05:23,120 --> 00:05:26,480 Speaker 1: Obamacare did not make illegal was looking at things like 105 00:05:26,800 --> 00:05:30,320 Speaker 1: your age, your zip code, how often you watch TV, 106 00:05:30,839 --> 00:05:33,480 Speaker 1: what magazines you get, whether or not you own a gun, 107 00:05:33,760 --> 00:05:38,799 Speaker 1: what ethnicity you are, et cetera. How do they know? Well, 108 00:05:39,320 --> 00:05:44,040 Speaker 1: the spawn of Obamacare really coincides quite nicely with the 109 00:05:44,160 --> 00:05:49,040 Speaker 1: launch of gigantic corporate data collection like Facebook and Twitter, 110 00:05:49,600 --> 00:05:54,480 Speaker 1: all social media, all every every imaginable record you can 111 00:05:54,560 --> 00:05:58,159 Speaker 1: think of, your divorce records, your marriage records, when you 112 00:05:58,160 --> 00:06:00,680 Speaker 1: buy a home, when you refinance, your AT card scores, 113 00:06:00,720 --> 00:06:06,360 Speaker 1: your Google searches. There are multi billion dollar corporations gathering 114 00:06:06,400 --> 00:06:09,559 Speaker 1: that and creating a docier on each and every single 115 00:06:09,720 --> 00:06:12,200 Speaker 1: one of us. And the insurance companies are buying that info. 116 00:06:12,880 --> 00:06:15,960 Speaker 1: They are they're renting it there. What an insurance company 117 00:06:16,000 --> 00:06:18,359 Speaker 1: does and this is really inside baseball stuff, but what 118 00:06:18,440 --> 00:06:21,040 Speaker 1: they do is they'll take a census. They'll take a 119 00:06:21,640 --> 00:06:25,080 Speaker 1: demographic profile of say your company with your thousand employees, 120 00:06:25,320 --> 00:06:27,600 Speaker 1: and they will send that over to one of these 121 00:06:27,680 --> 00:06:31,760 Speaker 1: data brokers like IBM, Watson or Millerman or Lexis, Nexis 122 00:06:31,880 --> 00:06:36,360 Speaker 1: or optim and they'll run that census something just making 123 00:06:37,400 --> 00:06:41,599 Speaker 1: I can say those names because they're published um and 124 00:06:41,600 --> 00:06:44,839 Speaker 1: they'll say they'll say, tell me, tell me how many 125 00:06:44,960 --> 00:06:47,120 Speaker 1: HIV s you've got in this group, Tell me how 126 00:06:47,200 --> 00:06:50,800 Speaker 1: far along they are, what drugs they take? Yeah, So 127 00:06:51,640 --> 00:06:54,720 Speaker 1: that and then all of your insurance costs are then 128 00:06:54,760 --> 00:06:57,960 Speaker 1: being adjudicated back up and built into your premiums based 129 00:06:58,040 --> 00:07:00,480 Speaker 1: upon this data that may or may not even be accurate. 130 00:07:00,520 --> 00:07:04,599 Speaker 1: And so one thing that's interesting to me about this 131 00:07:04,839 --> 00:07:08,720 Speaker 1: is I've always wondered all this data that's being harvested 132 00:07:08,760 --> 00:07:11,360 Speaker 1: from me, either legally or illegally, by all these companies. 133 00:07:11,360 --> 00:07:14,120 Speaker 1: I've always wondered, what's somebody gonna do with it? And 134 00:07:14,200 --> 00:07:16,800 Speaker 1: so now I know one thing that's being done with it. 135 00:07:17,120 --> 00:07:19,520 Speaker 1: Let me toss a bunch of examples out. Then we'll 136 00:07:19,560 --> 00:07:21,440 Speaker 1: take a quick break, and I want to ask you 137 00:07:21,480 --> 00:07:25,080 Speaker 1: the key question. Um, but I love these examples. Are 138 00:07:25,120 --> 00:07:27,320 Speaker 1: you a woman who recently changed your name. You could 139 00:07:27,360 --> 00:07:30,080 Speaker 1: be newly married and have a pricey pregnancy pending, or 140 00:07:30,120 --> 00:07:32,800 Speaker 1: maybe you're stressed and anxious from a recent divorce, so 141 00:07:32,840 --> 00:07:35,720 Speaker 1: the computer models say, expense expense. Are you a woman 142 00:07:35,760 --> 00:07:39,720 Speaker 1: who's purchased plus sized clothing, you're considered at risk for depression, 143 00:07:40,200 --> 00:07:46,560 Speaker 1: mental health care expensive, among other things. Wow, So well 144 00:07:46,720 --> 00:07:50,720 Speaker 1: that is interesting. Are they Are they doing it well? 145 00:07:51,000 --> 00:07:53,160 Speaker 1: I understand you want to get as much data as 146 00:07:53,200 --> 00:07:56,640 Speaker 1: you can to understand how much you ought to be charging. Um, 147 00:07:56,680 --> 00:08:00,360 Speaker 1: I mean, if you're if you're ensuring a bit ausness 148 00:08:00,400 --> 00:08:03,920 Speaker 1: that only hires four pounders, it probably be handy to 149 00:08:03,960 --> 00:08:06,440 Speaker 1: know that is an insurance company. Well, how about people 150 00:08:06,440 --> 00:08:10,280 Speaker 1: that watch an extraordinary amount of television I don't exercise 151 00:08:10,520 --> 00:08:12,800 Speaker 1: right right, that's built in there. That's built in there. 152 00:08:12,800 --> 00:08:15,200 Speaker 1: By the way, you're your smart TVs are reporting that back, 153 00:08:15,320 --> 00:08:17,480 Speaker 1: that's in your agreement. Is there any sales into these 154 00:08:18,160 --> 00:08:20,680 Speaker 1: get on for my cat when I'm not at home exactly, 155 00:08:21,560 --> 00:08:26,640 Speaker 1: see that. That's unfortunate, John, you're paying for that? So 156 00:08:26,760 --> 00:08:30,480 Speaker 1: is anything the farious being done to individuals or is 157 00:08:30,520 --> 00:08:34,960 Speaker 1: it just a price estimation tool. The companies that are 158 00:08:35,000 --> 00:08:40,679 Speaker 1: engaged in this activity become very uh shady and quiet 159 00:08:40,840 --> 00:08:43,080 Speaker 1: and and and they obviously escape the facts when you 160 00:08:43,160 --> 00:08:47,440 Speaker 1: start asking about individuals. But I have information that it 161 00:08:47,679 --> 00:08:50,920 Speaker 1: is being used at the individual level. I know specifically, 162 00:08:50,960 --> 00:08:52,960 Speaker 1: and I'm involved with a group of attorneys and other 163 00:08:53,000 --> 00:08:56,240 Speaker 1: experts looking into the legality of this, because I'll just 164 00:08:56,280 --> 00:08:59,679 Speaker 1: say this, what insurance companies do now. We used to 165 00:08:59,679 --> 00:09:01,520 Speaker 1: be able to generate a quote for a for a 166 00:09:01,559 --> 00:09:04,679 Speaker 1: client with just a centis just said, you know, employee 167 00:09:04,679 --> 00:09:06,360 Speaker 1: want as a male. At this age, we never gave 168 00:09:06,400 --> 00:09:12,240 Speaker 1: any individual identifiers. Now insurance companies are requiring names when 169 00:09:12,240 --> 00:09:15,120 Speaker 1: we when we so I'm submitting a quote for a 170 00:09:15,120 --> 00:09:18,040 Speaker 1: three person company, they want all three hundred names with 171 00:09:18,120 --> 00:09:20,480 Speaker 1: zip codes because they want to run it through this database. 172 00:09:20,960 --> 00:09:23,400 Speaker 1: So I know, darn well they're using it at the 173 00:09:23,440 --> 00:09:26,000 Speaker 1: individual level. Wow. Well, and if they can they will, 174 00:09:26,320 --> 00:09:30,679 Speaker 1: So exactly right. And it's interesting you mentioned there at 175 00:09:30,679 --> 00:09:34,080 Speaker 1: some point um the information might not even be accurate. 176 00:09:34,240 --> 00:09:36,199 Speaker 1: So I mean, it's it's it's troubling on a bunch 177 00:09:36,240 --> 00:09:38,040 Speaker 1: of levels, but the impult they have on me might 178 00:09:38,040 --> 00:09:41,040 Speaker 1: not be accurate. They gotten a wrong, wrong stuff at 179 00:09:41,080 --> 00:09:44,200 Speaker 1: some point. That's exactly right. And remember I think you 180 00:09:44,200 --> 00:09:46,360 Speaker 1: guys have talked about on your show as well. Sixty 181 00:09:46,360 --> 00:09:49,160 Speaker 1: minutes did that piece on privacy in Europe. This is 182 00:09:49,240 --> 00:09:53,120 Speaker 1: illegal in Europe because you own your own data. What 183 00:09:53,280 --> 00:09:55,480 Speaker 1: needs to look you guys know, I am not an 184 00:09:55,480 --> 00:09:58,440 Speaker 1: advocate for more federal law, but what we need is 185 00:09:58,480 --> 00:10:01,000 Speaker 1: we do need a law saying we own our own 186 00:10:02,600 --> 00:10:07,840 Speaker 1: absolutely otherwise you have so so one author that approached 187 00:10:07,840 --> 00:10:09,800 Speaker 1: this right, who's the biggest thing I keep interrupting you, 188 00:10:09,800 --> 00:10:13,520 Speaker 1: but who's the biggest lobbyist in the entire country? Freaking Google. 189 00:10:13,559 --> 00:10:15,319 Speaker 1: There's a reason why we don't have that law in 190 00:10:15,360 --> 00:10:17,800 Speaker 1: Europe does well Google, And health care is up there 191 00:10:17,840 --> 00:10:20,240 Speaker 1: in the top five too, So you've got a really 192 00:10:20,320 --> 00:10:23,880 Speaker 1: unholy A lot are going on right now. Yeah, health 193 00:10:23,920 --> 00:10:26,600 Speaker 1: care is arguably the number one industry in the country. 194 00:10:26,640 --> 00:10:29,960 Speaker 1: It's it's a fifth of our economy. So you've got 195 00:10:30,000 --> 00:10:34,360 Speaker 1: seriously powerful players here working to to do this behind 196 00:10:34,360 --> 00:10:38,720 Speaker 1: the scenes, and people just don't know this is going on. Yeah. Wow, okay, 197 00:10:38,800 --> 00:10:43,319 Speaker 1: so a great great stuff interesting, uh you know, unknown 198 00:10:44,360 --> 00:10:47,040 Speaker 1: and and and important part of people's health care. And 199 00:10:47,040 --> 00:10:49,760 Speaker 1: we'll we'll have you joined us again before too long, 200 00:10:49,800 --> 00:10:52,720 Speaker 1: Craig to talk about the you know, whatever is next. 201 00:10:52,760 --> 00:10:54,760 Speaker 1: That's the most interesting thing you've ever told us. I mean, 202 00:10:54,760 --> 00:10:58,559 Speaker 1: that's some of the brask there. See if there was more. 203 00:10:59,360 --> 00:11:02,040 Speaker 1: I'll be thinking about this well before, probably for the 204 00:11:02,040 --> 00:11:05,359 Speaker 1: rest of my life. But that is really really interesting, 205 00:11:05,920 --> 00:11:09,240 Speaker 1: not surprising and interesting. One author that looked at this 206 00:11:09,400 --> 00:11:12,280 Speaker 1: did a request from Lexis Nexis. Because you are allowed 207 00:11:12,320 --> 00:11:14,480 Speaker 1: to request a limited set of the data they have 208 00:11:15,520 --> 00:11:19,600 Speaker 1: his report came back, going back more than ten years, 209 00:11:19,679 --> 00:11:23,600 Speaker 1: a hundred and eighty two pages of information on him, 210 00:11:23,880 --> 00:11:28,000 Speaker 1: just one one company, one person, and eighty two pages. 211 00:11:28,200 --> 00:11:31,880 Speaker 1: Other companies have boasted that they're collecting one thousand, five 212 00:11:31,960 --> 00:11:34,880 Speaker 1: hundred facts about each individual, going all the way back 213 00:11:34,920 --> 00:11:39,560 Speaker 1: to the early nineties. Prophecy. Well, and yeah, now now 214 00:11:39,559 --> 00:11:42,400 Speaker 1: this next generation who have had all their info out 215 00:11:42,440 --> 00:11:46,000 Speaker 1: there since you know, birth, Really, jeez, what a dossier 216 00:11:46,080 --> 00:11:48,280 Speaker 1: they'll have on on all those people when they're grown up. 217 00:11:48,280 --> 00:11:51,920 Speaker 1: Exactly which they started, and then they started in the 218 00:11:52,000 --> 00:11:54,880 Speaker 1: ninth before social media, they started doing this on all 219 00:11:54,880 --> 00:11:57,440 Speaker 1: of the public records, right, you're arrest record, your marriage record, 220 00:11:57,480 --> 00:11:59,880 Speaker 1: your property records, your credit records, anything, make it get 221 00:12:00,520 --> 00:12:03,280 Speaker 1: Then once social media kicked in, this has gone into 222 00:12:03,360 --> 00:12:06,959 Speaker 1: hyper drive. Steroids Bill because that coincided with Obamacare of 223 00:12:07,040 --> 00:12:09,320 Speaker 1: that said, now you can't even ask what you're bidding 224 00:12:09,360 --> 00:12:12,280 Speaker 1: on when you quote for medical insurance anyway. So the 225 00:12:12,320 --> 00:12:14,920 Speaker 1: health industry said, whoa wha red flag. We've got to 226 00:12:14,960 --> 00:12:16,720 Speaker 1: have a way. We've got to have a way to 227 00:12:16,800 --> 00:12:19,080 Speaker 1: understand what the health risk is out there. So now 228 00:12:19,080 --> 00:12:21,959 Speaker 1: instead of reporting your actual health risk that would be 229 00:12:22,000 --> 00:12:26,000 Speaker 1: accurate you're getting. You're getting your premiums based upon these 230 00:12:26,480 --> 00:12:29,720 Speaker 1: these markers for health that may or may not correlate 231 00:12:29,920 --> 00:12:32,000 Speaker 1: very well with your health, like how much TV you 232 00:12:32,000 --> 00:12:33,920 Speaker 1: watched and whether you want a gun, and whether you 233 00:12:33,960 --> 00:12:36,199 Speaker 1: like to ski? Yeah, maybe I spend all day watching 234 00:12:36,240 --> 00:12:38,960 Speaker 1: those working out on the beach shows used to be 235 00:12:39,000 --> 00:12:42,520 Speaker 1: so popular. What you used to call that soft core 236 00:12:42,600 --> 00:12:49,000 Speaker 1: Hawaii bikini aerobics, spreading on the beach. Yeah, um uh wow, 237 00:12:49,040 --> 00:12:50,920 Speaker 1: what do you like to ski? So that that'd be 238 00:12:50,960 --> 00:12:52,640 Speaker 1: a tick up? And what you're gonna cost because you 239 00:12:52,720 --> 00:12:54,520 Speaker 1: might break your leg or whatever. So this is a 240 00:12:54,520 --> 00:12:58,719 Speaker 1: great example of unintended consequences. I mean, the Obamacare was 241 00:12:58,760 --> 00:13:00,600 Speaker 1: hoping to do away with any of that, and now 242 00:13:00,640 --> 00:13:04,520 Speaker 1: we've got, you know, just like you said on steroids, 243 00:13:04,600 --> 00:13:07,040 Speaker 1: version of what we used, right, and listen to strike 244 00:13:07,120 --> 00:13:11,560 Speaker 1: a liberty loving note. Uh, it's obvious as privacy dies 245 00:13:11,640 --> 00:13:15,320 Speaker 1: that if we were to give up our liberties or 246 00:13:15,360 --> 00:13:20,200 Speaker 1: give more power to government, their ability to do evil 247 00:13:20,440 --> 00:13:23,600 Speaker 1: with it would be so big, I mean, be so 248 00:13:23,600 --> 00:13:27,320 Speaker 1: good because they know everything about everyone, every phase of 249 00:13:27,320 --> 00:13:30,520 Speaker 1: their life. I mean, lies Jack, when not the current generation. Yeah, 250 00:13:30,520 --> 00:13:32,640 Speaker 1: I see, when you're nine years old, you you hurt 251 00:13:32,679 --> 00:13:35,080 Speaker 1: your leg and in the youth soccer, I mean, come on, 252 00:13:35,640 --> 00:13:39,000 Speaker 1: so yeah that yeah, I think you know, let's renew 253 00:13:39,040 --> 00:13:41,840 Speaker 1: our dedication of the idea of not giving the government 254 00:13:41,840 --> 00:13:44,720 Speaker 1: too much power the many weapons that they can make 255 00:13:44,720 --> 00:13:48,079 Speaker 1: a movie about this and if that's really interesting, Craig 256 00:13:48,120 --> 00:13:52,600 Speaker 1: got Wallace Craig, the healthcare guru does benefits and healthcare 257 00:13:52,640 --> 00:13:54,360 Speaker 1: and law and that sort of thing for his clients, 258 00:13:54,360 --> 00:13:56,439 Speaker 1: and he's really really good at it. What's the best 259 00:13:56,440 --> 00:14:00,440 Speaker 1: way to get ahold of you, Craig, um benefit dash 260 00:14:00,520 --> 00:14:04,240 Speaker 1: revolution dot com is my blog, my blog blog and 261 00:14:05,240 --> 00:14:08,520 Speaker 1: one other thing there, Joe. If your large company wants 262 00:14:08,559 --> 00:14:13,000 Speaker 1: to avoid giving this information, contact the healthcare guru. I 263 00:14:13,040 --> 00:14:16,080 Speaker 1: know a way around this, all right, Craig got Well, 264 00:14:16,120 --> 00:14:19,080 Speaker 1: thanks a million, Craig, great to talk at as always. 265 00:14:19,480 --> 00:14:22,480 Speaker 1: How fascinating and troubling is that I always wondered where 266 00:14:22,520 --> 00:14:25,320 Speaker 1: all that data was going. But hundredreds of pages all 267 00:14:25,360 --> 00:14:27,480 Speaker 1: these companies, Who are you know they're selling your data? 268 00:14:27,480 --> 00:14:29,120 Speaker 1: I always thought, who are they selling to? Who wants it? 269 00:14:29,160 --> 00:14:32,000 Speaker 1: What they're doing with? Well, this is this would be 270 00:14:32,080 --> 00:14:33,880 Speaker 1: the only one that they that needs to exist with 271 00:14:34,000 --> 00:14:36,680 Speaker 1: some of money at stake. Right. We have to decide 272 00:14:36,760 --> 00:14:40,360 Speaker 1: who owns your data clearly. I do own my own data, 273 00:14:40,840 --> 00:14:45,640 Speaker 1: not clearly according to the lobbyists. When you're ready to 274 00:14:45,720 --> 00:14:48,560 Speaker 1: ride Metro, we want you to know we're ready for you. 275 00:14:48,840 --> 00:14:50,800 Speaker 1: Here are just a few of the people at Metro 276 00:14:50,880 --> 00:14:52,840 Speaker 1: to tell you how we're doing our part to keep 277 00:14:52,880 --> 00:14:58,880 Speaker 1: writers safe. Cleaning before you've found halfs out of sounds 278 00:14:58,920 --> 00:15:02,160 Speaker 1: of stakes. All my with a Metro, no mask, no 279 00:15:02,360 --> 00:15:05,440 Speaker 1: Metro need one. We have a few extras at Metro. 280 00:15:05,760 --> 00:15:08,320 Speaker 1: We're doing our part to keep the DC area moving. 281 00:15:08,560 --> 00:15:10,960 Speaker 1: Find out more at will mata dot com, slash doing 282 00:15:11,000 --> 00:15:11,440 Speaker 1: our part