1 00:00:00,160 --> 00:00:01,920 Speaker 1: I'd either due to see our. 2 00:00:01,960 --> 00:00:04,760 Speaker 2: Now Land Revenue has admitted it gave Facebook the names, 3 00:00:04,800 --> 00:00:07,640 Speaker 2: the addresses and other contact details of almost two hundred 4 00:00:07,640 --> 00:00:10,440 Speaker 2: and seventy thousand taxpayers. So you remember, IID has already 5 00:00:10,440 --> 00:00:11,840 Speaker 2: got itself in a little bit of trouble because it's 6 00:00:11,840 --> 00:00:16,160 Speaker 2: been given these these encrypted bits of information, hashed bits 7 00:00:16,160 --> 00:00:17,919 Speaker 2: of information. But then when they went and looked at it, 8 00:00:17,960 --> 00:00:20,080 Speaker 2: they realized they were also giving out some raw information. 9 00:00:20,520 --> 00:00:23,640 Speaker 2: David Buckingham is a Queenstown employment relations consultant who first 10 00:00:23,640 --> 00:00:25,040 Speaker 2: complained about this, and he's with us. 11 00:00:25,040 --> 00:00:27,320 Speaker 1: Now, hey, David, hey, good evening. 12 00:00:28,480 --> 00:00:30,240 Speaker 2: This is mental. I mean, we thought that they were 13 00:00:30,280 --> 00:00:32,280 Speaker 2: at least trying to hide the stuff. Now it turns 14 00:00:32,280 --> 00:00:35,120 Speaker 2: out they're just giving the information over completely in the 15 00:00:35,159 --> 00:00:35,599 Speaker 2: raw form. 16 00:00:35,680 --> 00:00:39,199 Speaker 1: Did this surprise you? Look, it actually did a little bit. 17 00:00:39,520 --> 00:00:41,400 Speaker 1: I did actually think that they had some pretty good 18 00:00:41,440 --> 00:00:45,440 Speaker 1: processes around, at least hashing it. That wasn't really the 19 00:00:45,440 --> 00:00:49,320 Speaker 1: focus of my initial complaints. It was the fact that 20 00:00:49,840 --> 00:00:54,400 Speaker 1: information was being matched against databases that were in some 21 00:00:54,480 --> 00:00:59,960 Speaker 1: of the biggest data brokerages in world, people like Meta 22 00:01:00,320 --> 00:01:03,160 Speaker 1: that has a checkered history in terms of the way 23 00:01:03,200 --> 00:01:07,360 Speaker 1: that they deal with data. And look, I'm not suggesting 24 00:01:07,360 --> 00:01:09,759 Speaker 1: that I have any smoking gun evidence that they've done 25 00:01:09,800 --> 00:01:12,320 Speaker 1: anything illegal or wrong, but I want this is wrong 26 00:01:12,400 --> 00:01:15,679 Speaker 1: to you, and morally I think it's wrong, but I'm 27 00:01:15,680 --> 00:01:18,520 Speaker 1: not suggesting legally wrong. What I do say is is 28 00:01:18,560 --> 00:01:22,080 Speaker 1: that when you upload hashed information, and this is a 29 00:01:22,080 --> 00:01:25,760 Speaker 1: way of scrambling things so that there's almost like a 30 00:01:25,800 --> 00:01:28,959 Speaker 1: game of snap, sort of a digital game of cryptographic snap, 31 00:01:29,360 --> 00:01:31,520 Speaker 1: so that if a face has already has the information, 32 00:01:32,319 --> 00:01:35,480 Speaker 1: they can kind of make the inference that that's who 33 00:01:35,480 --> 00:01:39,240 Speaker 1: they want to target. The problem is this number one 34 00:01:39,280 --> 00:01:42,760 Speaker 1: is identifiable to somebody with this level of data. Second 35 00:01:42,760 --> 00:01:46,800 Speaker 1: of all, these were small batches. These were little batches 36 00:01:46,840 --> 00:01:51,800 Speaker 1: of data that were identified as being attached to particular 37 00:01:51,840 --> 00:01:54,800 Speaker 1: taxpayer behavior. So let me just give you a really 38 00:01:55,600 --> 00:01:59,360 Speaker 1: a good meta for if I gave you twenty ring binders, 39 00:01:59,680 --> 00:02:02,400 Speaker 1: small lit ring binders with a whole attached information on 40 00:02:02,440 --> 00:02:04,800 Speaker 1: the side of it, and you could say, well, that's 41 00:02:04,840 --> 00:02:07,560 Speaker 1: sort of secure. I mean, I still don't think it's right. 42 00:02:07,640 --> 00:02:10,400 Speaker 1: But let's just say that we run with what ID 43 00:02:10,440 --> 00:02:13,720 Speaker 1: you've said, which is that this data's scrambled. Now le's 44 00:02:13,720 --> 00:02:16,639 Speaker 1: assuming that they are twenty ring binders of the scrambled information, 45 00:02:16,840 --> 00:02:19,720 Speaker 1: and on the binder, on the outside binder of each 46 00:02:19,720 --> 00:02:21,960 Speaker 1: one of these ring binders, it's got a label on 47 00:02:22,000 --> 00:02:26,520 Speaker 1: it with very specific taxpayer behavior. That's what they've done. 48 00:02:26,840 --> 00:02:29,799 Speaker 1: This report talks about what's in the binder, and we're 49 00:02:29,800 --> 00:02:32,200 Speaker 1: saying the breach of privacy was the fact that their 50 00:02:32,280 --> 00:02:35,080 Speaker 1: data was included within one of those folders, right, and 51 00:02:35,160 --> 00:02:36,520 Speaker 1: the label on the outside. 52 00:02:36,800 --> 00:02:38,359 Speaker 2: Now, can you explain something to me, David, because I 53 00:02:38,360 --> 00:02:41,680 Speaker 2: don't get this, okay, Ird, If there are a specific 54 00:02:41,760 --> 00:02:44,040 Speaker 2: taxpayer behavior that they're trying to stop, which is, let's 55 00:02:44,080 --> 00:02:45,840 Speaker 2: say I haven't paid my taxes and they're trying to 56 00:02:45,880 --> 00:02:47,840 Speaker 2: get a hold of me, why don't they just take 57 00:02:47,880 --> 00:02:50,680 Speaker 2: the information they've already got, which is my name, my email, 58 00:02:50,880 --> 00:02:53,960 Speaker 2: my contact phone number, my address and give me a call. 59 00:02:54,040 --> 00:02:56,280 Speaker 2: And so you haven't paid your taxpayer, why do they 60 00:02:56,320 --> 00:02:59,399 Speaker 2: need to go to Facebook to pay Facebook to run 61 00:02:59,400 --> 00:02:59,880 Speaker 2: an ad at me? 62 00:03:01,720 --> 00:03:05,799 Speaker 1: There's a brilliant question. But I get my notifications from 63 00:03:05,800 --> 00:03:08,080 Speaker 1: in the revenue by way this thing called my IR 64 00:03:08,520 --> 00:03:11,440 Speaker 1: I can open up and I can read it. And 65 00:03:11,480 --> 00:03:14,160 Speaker 1: the way I discovered this was that I went digging 66 00:03:14,200 --> 00:03:17,840 Speaker 1: inside the privacy settings of Facebook. When I was on Facebook, 67 00:03:18,160 --> 00:03:22,320 Speaker 1: iviousally deleted my account. But when I was on Facebook, 68 00:03:22,639 --> 00:03:24,840 Speaker 1: I was going through the number of companies that were 69 00:03:24,840 --> 00:03:29,200 Speaker 1: disclosing my personal information two meta, and by way of 70 00:03:29,240 --> 00:03:33,040 Speaker 1: doing that, I had this big, long list of companies 71 00:03:33,040 --> 00:03:36,800 Speaker 1: that had approached me. Look, i'll tell you something. When 72 00:03:36,800 --> 00:03:39,680 Speaker 1: I first actually emailed in the Revenue about this, and 73 00:03:39,760 --> 00:03:45,000 Speaker 1: I think it was March, the initial response internally, because 74 00:03:45,000 --> 00:03:47,080 Speaker 1: I was asked for this information under the privacy, their 75 00:03:47,160 --> 00:03:50,720 Speaker 1: first response was to say, well, we're just wondering if 76 00:03:50,720 --> 00:03:54,200 Speaker 1: these are just some sort of unfounded accusations. Well, today 77 00:03:54,880 --> 00:03:57,080 Speaker 1: in the Revenue we've not only had to concede that 78 00:03:57,600 --> 00:04:00,680 Speaker 1: they're not only doing it, but that's under pressure to 79 00:04:00,720 --> 00:04:01,640 Speaker 1: stop this practice. 80 00:04:01,720 --> 00:04:03,880 Speaker 2: Yeah too, Right now, do you know if we can 81 00:04:03,920 --> 00:04:06,040 Speaker 2: find out if we're part of the two hundred and 82 00:04:06,080 --> 00:04:09,120 Speaker 2: seventy thousand taxpayers who just had our information handed to 83 00:04:09,240 --> 00:04:09,520 Speaker 2: meet it. 84 00:04:10,840 --> 00:04:12,880 Speaker 1: What in their Revenue is said at the press conference 85 00:04:12,880 --> 00:04:15,480 Speaker 1: and then their media communications todays is that they're going 86 00:04:15,480 --> 00:04:18,080 Speaker 1: to be contacting those people in the next twenty four hours. 87 00:04:18,800 --> 00:04:22,760 Speaker 1: They say also that the other many hundreds of thousands 88 00:04:22,760 --> 00:04:24,200 Speaker 1: of people who may have got caught up in some 89 00:04:24,240 --> 00:04:28,920 Speaker 1: of these previous uploads of data. However, which way they 90 00:04:28,920 --> 00:04:31,760 Speaker 1: want to frame it that they don't even know they 91 00:04:31,800 --> 00:04:35,560 Speaker 1: don't know. The Commissioner that day has been saying, by 92 00:04:35,600 --> 00:04:39,080 Speaker 1: all reports, they're actually not sure and it would be 93 00:04:39,160 --> 00:04:40,040 Speaker 1: too hard together. 94 00:04:40,640 --> 00:04:42,920 Speaker 2: Interesting, David, thanks for runningus through to really appreciate that. 95 00:04:43,240 --> 00:04:45,760 Speaker 2: Buckingham Queen Sound Employment Relations consultant. 96 00:04:46,720 --> 00:04:49,880 Speaker 1: For more from Hither Duplessy Allen Drive, listen live to 97 00:04:50,000 --> 00:04:53,039 Speaker 1: news talks they'd be from four pm weekdays, or follow 98 00:04:53,080 --> 00:04:54,840 Speaker 1: the podcast on iHeartRadio