1 00:00:00,600 --> 00:00:03,160 Speaker 1: Already and this is the daily. This is the daily, 2 00:00:03,480 --> 00:00:06,920 Speaker 1: This is the daily. Ohs oh, now it makes sense. 3 00:00:15,040 --> 00:00:17,800 Speaker 1: Good morning and welcome to the Daily OS. It's Thursday, 4 00:00:17,840 --> 00:00:21,440 Speaker 1: the fourteenth of March. I'm Sam, I'm zara. Australians are 5 00:00:21,520 --> 00:00:27,120 Speaker 1: using more cocaine, methamphetamine and MDMA, but they're drinking less alcohol. 6 00:00:27,520 --> 00:00:30,800 Speaker 1: That is all, according to new sewerage analysis by the 7 00:00:30,800 --> 00:00:33,000 Speaker 1: Australian Criminal Intelligence Commission. 8 00:00:33,240 --> 00:00:37,080 Speaker 2: The Commission has been testing Ozzie wastewater since twenty sixteen 9 00:00:37,280 --> 00:00:40,920 Speaker 2: and publishes regular findings on drug trends. We'll tell you 10 00:00:40,960 --> 00:00:43,600 Speaker 2: what its latest report tells us about drug use in 11 00:00:43,640 --> 00:00:46,760 Speaker 2: the country. But before we do, Sam, what's making headlines. 12 00:00:48,680 --> 00:00:51,600 Speaker 1: We've read this headline before. Donald Trump and Joe Biden 13 00:00:51,720 --> 00:00:55,000 Speaker 1: have each secured enough support to lead their parties into 14 00:00:55,080 --> 00:00:59,000 Speaker 1: November's presidential election. It paves the way for a Trump 15 00:00:59,040 --> 00:01:02,960 Speaker 1: fee Biden White race and the first US presidential election 16 00:01:03,120 --> 00:01:07,120 Speaker 1: rematch in sixty eight years. Both major parties will hold 17 00:01:07,200 --> 00:01:10,119 Speaker 1: national conventions in the coming months, where their presidential and 18 00:01:10,240 --> 00:01:12,920 Speaker 1: vice presidential nominees will be formally confirmed. 19 00:01:15,000 --> 00:01:19,320 Speaker 2: The Australian Council of Trade Unions the ACTU, is urging 20 00:01:19,360 --> 00:01:22,280 Speaker 2: the fair Work Commission to protect an employee's right to 21 00:01:22,360 --> 00:01:25,520 Speaker 2: work from home. In a submission to Fair Work, the 22 00:01:25,560 --> 00:01:29,720 Speaker 2: ACTU said flexible work benefits cares, people with the disability 23 00:01:29,760 --> 00:01:33,520 Speaker 2: and parents. It's part of a review to update legislation 24 00:01:33,640 --> 00:01:37,240 Speaker 2: to include work from home guidelines. It said employers should 25 00:01:37,280 --> 00:01:39,600 Speaker 2: only be permitted to refuse a request to work from 26 00:01:39,640 --> 00:01:42,960 Speaker 2: home on reasonable grounds. The review will hand down its 27 00:01:43,000 --> 00:01:44,759 Speaker 2: final report on the twenty eighth of June. 28 00:01:46,680 --> 00:01:50,200 Speaker 1: Violence is continuing in Haiti amid growing concerns over its 29 00:01:50,200 --> 00:01:54,520 Speaker 1: collapsing healthcare system. The country's Prime Minister, Ariel Henry resigns 30 00:01:54,560 --> 00:01:57,680 Speaker 1: this week after gang leaders set thousands of prisoners free 31 00:01:57,720 --> 00:02:00,760 Speaker 1: from jails across the country, calling for him to step 32 00:02:00,800 --> 00:02:04,560 Speaker 1: down as leader. The UN says shipments of medicine and 33 00:02:04,680 --> 00:02:08,040 Speaker 1: food aren't getting in, meaning its aid workers are struggling 34 00:02:08,040 --> 00:02:11,000 Speaker 1: to treat people, including patients with gunshot wounds. 35 00:02:12,840 --> 00:02:17,239 Speaker 2: And the good news, one of the world's tallest tree species, redwoods, 36 00:02:17,280 --> 00:02:20,240 Speaker 2: which are able to capture large amounts of carbon dioxide, 37 00:02:20,360 --> 00:02:24,720 Speaker 2: are thriving in the UK. Research led by UCL recorded 38 00:02:24,840 --> 00:02:28,560 Speaker 2: rapid growth among redwoods, which it said are an effective 39 00:02:28,560 --> 00:02:32,800 Speaker 2: way to reduce carbon emissions. Native to California redwood trees 40 00:02:32,840 --> 00:02:37,320 Speaker 2: were introduced to the UK one hundred and sixty years ago. 41 00:02:39,160 --> 00:02:43,160 Speaker 1: Czara. Australia's sewage holds a lot of secrets. Actually went 42 00:02:43,280 --> 00:02:45,880 Speaker 1: down about forty meters underneath the North bond Di cliffs 43 00:02:45,919 --> 00:02:49,359 Speaker 1: this time last year into the sewage system. It was 44 00:02:49,440 --> 00:02:52,920 Speaker 1: quite a confronting smell. But there's so many secrets in 45 00:02:52,919 --> 00:02:56,880 Speaker 1: that sewage that official law enforcement authorities actually rely on 46 00:02:57,160 --> 00:03:00,880 Speaker 1: regularly analyzing it. Why what are these Well, what they 47 00:03:00,919 --> 00:03:04,600 Speaker 1: get from it is a really clear understanding of national 48 00:03:04,720 --> 00:03:08,639 Speaker 1: drug trends. So the Australian Criminal Intelligence Commission is a 49 00:03:08,680 --> 00:03:12,200 Speaker 1: government agency that gathers data to combat threats like foreign 50 00:03:12,280 --> 00:03:15,720 Speaker 1: interference and organized crime, and they have just released a 51 00:03:15,760 --> 00:03:18,040 Speaker 1: new report this week into national drug use. 52 00:03:18,560 --> 00:03:21,480 Speaker 2: So I imagine a lot of people are fascinated by 53 00:03:21,520 --> 00:03:25,400 Speaker 2: this information, not only because it uses waste to pain 54 00:03:25,480 --> 00:03:28,680 Speaker 2: a picture about what drugs ozsies are taking where, but 55 00:03:28,720 --> 00:03:32,520 Speaker 2: also because this data helps police track organize crime networks. 56 00:03:32,600 --> 00:03:37,440 Speaker 1: Right, Yeah, and it's a really interesting representative sample of 57 00:03:37,560 --> 00:03:41,280 Speaker 1: the country. Sewage from about half of the Australian population 58 00:03:41,440 --> 00:03:44,480 Speaker 1: gets analyzed during these studies. So if you're sitting on 59 00:03:44,480 --> 00:03:46,880 Speaker 1: the bus right now, about half the bus has had 60 00:03:46,920 --> 00:03:51,120 Speaker 1: their waste analyzed by this group. So to learn more 61 00:03:51,200 --> 00:03:54,360 Speaker 1: about the latest findings, I'm speaking today with the Criminal 62 00:03:54,400 --> 00:03:59,640 Speaker 1: Intelligence Commissions Acting National Manager of Data Analytics, Shane Nilsen. Shane, 63 00:03:59,680 --> 00:04:01,680 Speaker 1: thanks for joining us on the daily OS this morning. 64 00:04:01,920 --> 00:04:03,320 Speaker 3: Good morning, happy to be here. 65 00:04:03,560 --> 00:04:08,040 Speaker 1: Take me right back to the beginning of collecting data 66 00:04:08,080 --> 00:04:10,320 Speaker 1: for this new drugs report that you and your team 67 00:04:10,320 --> 00:04:13,280 Speaker 1: have released. How do you actually collect that information. 68 00:04:13,800 --> 00:04:16,599 Speaker 3: What we've done is selected a cross section of capital 69 00:04:16,600 --> 00:04:21,000 Speaker 3: city and regional sites across the country. What we aim 70 00:04:21,080 --> 00:04:23,719 Speaker 3: to do is to get at least fifty percent of 71 00:04:23,839 --> 00:04:27,560 Speaker 3: the population, and on this occasion we got fifty seven percent. 72 00:04:28,040 --> 00:04:34,360 Speaker 3: And everyone who takes drugs and other substances and has 73 00:04:34,400 --> 00:04:39,040 Speaker 3: a sewerage system provide the metabolides go through their body 74 00:04:39,440 --> 00:04:43,240 Speaker 3: and into the wastewater system that goes to treatment plants 75 00:04:43,279 --> 00:04:47,680 Speaker 3: in the local area. Before it gets into the treatment facility, 76 00:04:48,279 --> 00:04:51,680 Speaker 3: we sample it and what that does then is the 77 00:04:51,800 --> 00:04:55,760 Speaker 3: universities who do our analysis for us are able to 78 00:04:55,800 --> 00:04:59,960 Speaker 3: identify the substances that are in the sample, but also 79 00:05:00,120 --> 00:05:03,920 Speaker 3: so the quantities of consumption of those substances. 80 00:05:04,400 --> 00:05:08,080 Speaker 1: So you've essentially gone through a heap of sewage. You've 81 00:05:08,080 --> 00:05:11,200 Speaker 1: got fifty seven percent of the country represented in that. 82 00:05:12,200 --> 00:05:15,760 Speaker 1: What are your standout findings from this year's reports. 83 00:05:16,080 --> 00:05:19,120 Speaker 3: What we found was that in year seven of our program, 84 00:05:19,200 --> 00:05:23,240 Speaker 3: which ran and ended in August twenty twenty three, a 85 00:05:23,320 --> 00:05:28,480 Speaker 3: total of sixteen point five tons of methylon fetamine, cocaine, heroin, 86 00:05:28,520 --> 00:05:32,839 Speaker 3: and MDMA was consumed by the population. 87 00:05:32,720 --> 00:05:34,159 Speaker 1: Within a twelve month period. 88 00:05:34,720 --> 00:05:37,719 Speaker 3: Yeah, within that twelve month period. Yeah, so that's a 89 00:05:37,800 --> 00:05:40,839 Speaker 3: lot of drugs, and that was an increase of seventeen 90 00:05:40,880 --> 00:05:44,040 Speaker 3: percent or two point three tons from the previous year. 91 00:05:44,600 --> 00:05:46,880 Speaker 3: And what we found as part of that was that 92 00:05:47,560 --> 00:05:52,240 Speaker 3: large increases were really down to methylon fetamine, where consumption 93 00:05:52,480 --> 00:05:57,280 Speaker 3: increased by one point five tons, and also cocaine, where 94 00:05:57,320 --> 00:05:59,960 Speaker 3: it increased by about seven hundred kilos national. 95 00:06:00,360 --> 00:06:02,719 Speaker 1: Did those findings surprise you, Shane. 96 00:06:02,600 --> 00:06:06,560 Speaker 3: Well, certainly, the increase in methyl and phatamine was a concern. 97 00:06:07,360 --> 00:06:11,200 Speaker 3: What we assess was happening is that these markets were 98 00:06:11,200 --> 00:06:17,599 Speaker 3: returning largely to pre COVID levels. There were significant reductions 99 00:06:17,640 --> 00:06:21,279 Speaker 3: in the consumption of meth and cocaine during the COVID 100 00:06:21,320 --> 00:06:24,839 Speaker 3: period when there are restrictions across the country. And so 101 00:06:25,160 --> 00:06:27,560 Speaker 3: what we think is happening now is there's a correction 102 00:06:28,279 --> 00:06:31,320 Speaker 3: and the consumption is getting back to levels where they 103 00:06:31,360 --> 00:06:34,080 Speaker 3: were before COVID restrictions were introduced. 104 00:06:34,600 --> 00:06:37,440 Speaker 1: So if we go one step deeper than and we 105 00:06:37,480 --> 00:06:41,680 Speaker 1: start talking about particular cities or states, yes, are there 106 00:06:41,720 --> 00:06:45,839 Speaker 1: any kind of trends within that scope that are particularly 107 00:06:45,960 --> 00:06:46,600 Speaker 1: enlightening for you? 108 00:06:47,240 --> 00:06:49,919 Speaker 3: What we tend to find is there's a sameness to 109 00:06:50,040 --> 00:06:55,400 Speaker 3: that at different times and different substances. For example, Sydney 110 00:06:55,920 --> 00:07:00,440 Speaker 3: always is relatively high in terms of cocaine can consumption, 111 00:07:00,520 --> 00:07:04,919 Speaker 3: and New South Wales generally is relatively high with cocaine consumption. 112 00:07:05,680 --> 00:07:12,440 Speaker 3: Melbourne is generally very high with heroin consumption, with methyline 113 00:07:12,520 --> 00:07:16,920 Speaker 3: phetamine its West Australia, South Australia is a general rule 114 00:07:17,840 --> 00:07:20,800 Speaker 3: and so on. So from time to time you do 115 00:07:20,960 --> 00:07:25,720 Speaker 3: get situations where the same sort of jurisdictions have the 116 00:07:25,760 --> 00:07:28,720 Speaker 3: same levels of high consumption of these drugs. 117 00:07:28,880 --> 00:07:32,200 Speaker 1: And did you notice any differences between the regions and 118 00:07:32,240 --> 00:07:32,760 Speaker 1: the cities. 119 00:07:33,560 --> 00:07:36,880 Speaker 3: Yes, we did. In fact, we look at this generally 120 00:07:37,200 --> 00:07:40,760 Speaker 3: every time the report comes out. What we find and 121 00:07:40,840 --> 00:07:43,920 Speaker 3: we found that in August twenty twenty three was no different. 122 00:07:44,440 --> 00:07:49,680 Speaker 3: Was his substances like cocaine, heroine, ketamine, and MDA, they 123 00:07:49,720 --> 00:07:52,400 Speaker 3: tend to be higher in the capital cities, but all 124 00:07:52,480 --> 00:07:57,680 Speaker 3: the rest of the drugs, including methylne phetamine, cannabis, et cetera, 125 00:07:58,280 --> 00:08:01,360 Speaker 3: are higher in the regional areas. Is per capita, but 126 00:08:01,560 --> 00:08:07,000 Speaker 3: it holds true and that's a concern because obviously in 127 00:08:07,040 --> 00:08:11,600 Speaker 3: regional areas there's less law enforcement resources, less treatment resources 128 00:08:11,920 --> 00:08:12,680 Speaker 3: to go around. 129 00:08:13,760 --> 00:08:16,880 Speaker 1: Were there any substances that went down in the last 130 00:08:16,920 --> 00:08:19,840 Speaker 1: twelve months or is everything kind of trending up into 131 00:08:19,880 --> 00:08:20,480 Speaker 1: the right. 132 00:08:21,560 --> 00:08:25,520 Speaker 3: No, Well, heroin reduced over the past twelve months, so 133 00:08:25,640 --> 00:08:30,680 Speaker 3: that was good news. Heroins remain relatively constant over the 134 00:08:30,760 --> 00:08:36,000 Speaker 3: period that we've monitored since twenty seventeen. And so what 135 00:08:36,080 --> 00:08:39,440 Speaker 3: it does is tends to vary between a fairly narrow range. 136 00:08:40,080 --> 00:08:45,000 Speaker 3: Australia tends to be an illicit stimulant country, so methylne 137 00:08:45,040 --> 00:08:49,280 Speaker 3: fhetamine in cocaine in particular and to a lesser extent 138 00:08:49,840 --> 00:08:53,440 Speaker 3: MBMA or ecstasy that tends to be the substances that 139 00:08:53,480 --> 00:08:54,439 Speaker 3: are most consumed. 140 00:08:54,720 --> 00:08:58,439 Speaker 1: And what do you kind of suggest that we do 141 00:08:58,880 --> 00:09:03,199 Speaker 1: with this information, like where do we go with this data? 142 00:09:03,240 --> 00:09:06,680 Speaker 1: Are you hoping that this helps US form policy precisely. 143 00:09:07,160 --> 00:09:09,600 Speaker 3: There's a number of things. The first thing, because we 144 00:09:09,679 --> 00:09:13,559 Speaker 3: do this every four months with a larger annual report 145 00:09:13,600 --> 00:09:16,320 Speaker 3: like the current one, what we want to do is 146 00:09:16,440 --> 00:09:20,000 Speaker 3: for anyone who wishes to in the general public to 147 00:09:20,080 --> 00:09:23,120 Speaker 3: look at this and sort of reflect on what the 148 00:09:23,160 --> 00:09:26,760 Speaker 3: implications are of the level of drug use and also 149 00:09:26,960 --> 00:09:31,120 Speaker 3: trends in drug use. We measure consumption and therefore the 150 00:09:31,240 --> 00:09:35,000 Speaker 3: demand for drugs, and really what that is is decisions 151 00:09:35,040 --> 00:09:38,880 Speaker 3: by thousands of Australians every day to take or not 152 00:09:39,000 --> 00:09:43,160 Speaker 3: take the substances that we monitor. So we identify what 153 00:09:43,240 --> 00:09:48,679 Speaker 3: substances are being used where and in what quantity. We 154 00:09:48,720 --> 00:09:53,120 Speaker 3: can provide unique regional insights, but often with other data 155 00:09:53,160 --> 00:09:57,920 Speaker 3: sets aren't available simply because of the population, sizes, etc. 156 00:09:58,280 --> 00:10:01,800 Speaker 3: And the difficulty is of getting done. We're able to 157 00:10:01,880 --> 00:10:05,400 Speaker 3: work out the values of our illicit drug markets, which 158 00:10:05,440 --> 00:10:07,920 Speaker 3: in the twelve month last twelve month period was about 159 00:10:07,920 --> 00:10:12,120 Speaker 3: twelve point four billion dollars. Well and consider the implications 160 00:10:12,160 --> 00:10:14,280 Speaker 3: of that. Yeah, and this is at a time when 161 00:10:14,320 --> 00:10:19,680 Speaker 3: household budgets were being stretched as never before. So we 162 00:10:19,840 --> 00:10:23,800 Speaker 3: also importantly, and this is where the rub really is, 163 00:10:23,800 --> 00:10:27,760 Speaker 3: is that we can identify priority areas for responses and 164 00:10:27,800 --> 00:10:32,319 Speaker 3: the types of substances that should be prioritized for a response, 165 00:10:32,880 --> 00:10:36,559 Speaker 3: and we work with our law enforcement and health partners 166 00:10:36,559 --> 00:10:39,560 Speaker 3: in relation to that, and so that's one of the 167 00:10:39,600 --> 00:10:43,000 Speaker 3: most important aspects of wastewater analysis. 168 00:10:43,200 --> 00:10:45,920 Speaker 1: Shane. Just a final question from me, and apologies if 169 00:10:45,960 --> 00:10:48,480 Speaker 1: this is a silly one, but is there ever a 170 00:10:48,520 --> 00:10:54,400 Speaker 1: world where sewage samples can be used to directly provide 171 00:10:54,440 --> 00:10:58,280 Speaker 1: evidence to law enforcement of a particular household's drug consumption? 172 00:10:58,480 --> 00:11:00,360 Speaker 1: Could that be used as a lead for police. 173 00:11:00,760 --> 00:11:04,760 Speaker 3: We wouldn't do that, and very important reasons for that. 174 00:11:05,320 --> 00:11:10,840 Speaker 3: It's because it's water analysis doesn't have ethical problems in 175 00:11:10,920 --> 00:11:16,640 Speaker 3: terms of interfering with individual privacy. It measures population use 176 00:11:16,679 --> 00:11:21,560 Speaker 3: of substances, right, and so individual privacy is respected. I 177 00:11:21,559 --> 00:11:25,000 Speaker 3: mean there's no hidden populations, which is very good, but 178 00:11:25,200 --> 00:11:27,920 Speaker 3: no either can we like, as you said, go to 179 00:11:27,960 --> 00:11:31,199 Speaker 3: an individual's house and say, right, you know, the people 180 00:11:31,240 --> 00:11:33,480 Speaker 3: in this house are doing X or Y in terms 181 00:11:33,480 --> 00:11:37,040 Speaker 3: of their drug consumption. So that's one of the advantages. 182 00:11:37,480 --> 00:11:42,280 Speaker 3: So it's a balance of very useful information but in 183 00:11:42,320 --> 00:11:45,160 Speaker 3: a way that respects individual privacy. 184 00:11:45,679 --> 00:11:48,000 Speaker 1: Shane, I really appreciate your time. Thanks for joining us 185 00:11:48,040 --> 00:11:49,200 Speaker 1: on the Daily Ours this morning. 186 00:11:49,480 --> 00:11:50,199 Speaker 3: No Where is it All? 187 00:11:50,240 --> 00:11:53,599 Speaker 2: Thank you very much, Sam, Thanks for listening to today's episode. 188 00:11:53,760 --> 00:11:55,680 Speaker 2: We would love to hear what you thought of it. 189 00:11:55,880 --> 00:11:58,320 Speaker 2: If you're listening on Spotify, you can let us know 190 00:11:58,400 --> 00:12:00,640 Speaker 2: by answering the Q and A. It's just below the 191 00:12:00,800 --> 00:12:04,560 Speaker 2: episode and we love reading your responses every single day. 192 00:12:05,000 --> 00:12:07,520 Speaker 2: We'll be back again tomorrow, but until then, have a 193 00:12:07,559 --> 00:12:08,280 Speaker 2: fabulous day. 194 00:12:11,200 --> 00:12:13,520 Speaker 1: My name is Lily Maddon and I'm a proud Arunda 195 00:12:13,760 --> 00:12:18,560 Speaker 1: Bungelung Kalkadin woman from Gadighl Country. The Daily oz acknowledges 196 00:12:18,640 --> 00:12:20,760 Speaker 1: that this podcast is recorded on the lands of the 197 00:12:20,800 --> 00:12:24,360 Speaker 1: Gadighl people and pays respect to all Aboriginal and Torres 198 00:12:24,400 --> 00:12:25,560 Speaker 1: Strait Island and nations. 199 00:12:25,880 --> 00:12:28,800 Speaker 2: We pay our respects to the first peoples of these countries, 200 00:12:28,920 --> 00:12:30,120 Speaker 2: both past and present.