1 00:00:00,120 --> 00:00:03,560 Speaker 1: Now, parents, I've got one particularly for you, especially if 2 00:00:03,600 --> 00:00:05,960 Speaker 1: you do the kids school run. A new reporter has 3 00:00:06,000 --> 00:00:07,840 Speaker 1: found that the most dangerous time to be on the 4 00:00:07,920 --> 00:00:10,239 Speaker 1: roads is during school drop off in the morning. I 5 00:00:10,240 --> 00:00:12,000 Speaker 1: would have thought it's the afternoon, but it's the morning 6 00:00:12,200 --> 00:00:15,680 Speaker 1: because most driver fatigue events happen between seven and eight am. 7 00:00:15,800 --> 00:00:18,480 Speaker 1: Now Auto Sense, the guys behind the report and the 8 00:00:18,520 --> 00:00:21,960 Speaker 1: chief executive, Charles Dawson, is with us. Now, I bet 9 00:00:22,000 --> 00:00:23,640 Speaker 1: that happens to you all the time, Charles. Yes. 10 00:00:24,120 --> 00:00:27,160 Speaker 2: Good to be part of the evolution of the world. 11 00:00:28,120 --> 00:00:31,040 Speaker 1: Now listen. It seems counterintuitive because I would have thought 12 00:00:31,040 --> 00:00:33,720 Speaker 1: it would be happening in the afternoon. You know, seven am, 13 00:00:33,800 --> 00:00:34,599 Speaker 1: you've just woken up. 14 00:00:34,800 --> 00:00:37,280 Speaker 2: Yeah. So look, at the end of the day, fatigue 15 00:00:37,320 --> 00:00:40,519 Speaker 2: is all about not having enough sleep. So anyone with 16 00:00:40,560 --> 00:00:42,880 Speaker 2: a new baby, or new children, or any of those 17 00:00:42,880 --> 00:00:45,360 Speaker 2: sorts of things, we'll understand that they don't get the 18 00:00:45,400 --> 00:00:47,519 Speaker 2: sleep through the night. So therefore they are going to 19 00:00:47,520 --> 00:00:48,560 Speaker 2: be tired in the morning. 20 00:00:48,800 --> 00:00:51,440 Speaker 1: Why in the morning, Why not in the afternoon. The 21 00:00:51,440 --> 00:00:53,280 Speaker 1: further you get away from that sleep. 22 00:00:53,120 --> 00:00:56,400 Speaker 2: Well, it's actually just all part of our natural circadian rhythm. 23 00:00:56,520 --> 00:00:59,840 Speaker 2: So the body is back in the days of Caveman. 24 00:01:00,160 --> 00:01:01,959 Speaker 2: We were away in the cave so that the sabertooth 25 00:01:02,000 --> 00:01:03,920 Speaker 2: tigers didn't get us. So sleeping at that stage and 26 00:01:03,960 --> 00:01:07,760 Speaker 2: then await during the day, So the circadian rhythm, the 27 00:01:07,800 --> 00:01:10,840 Speaker 2: various hormones and things that are produced changed during the day. 28 00:01:10,640 --> 00:01:13,880 Speaker 1: So seven am you still want to be asleep. Apparently 29 00:01:13,920 --> 00:01:14,960 Speaker 1: it's worse on Tuesdays. 30 00:01:15,000 --> 00:01:17,240 Speaker 2: Why, Look, I think that has a lot to do 31 00:01:17,360 --> 00:01:20,479 Speaker 2: with people recovering from the weekend. They get through Monday, 32 00:01:20,520 --> 00:01:23,600 Speaker 2: and then Tuesday they've done a night shift or something 33 00:01:24,000 --> 00:01:26,160 Speaker 2: along those lines. And often what we're talking about here 34 00:01:26,200 --> 00:01:28,440 Speaker 2: is people that have been driving from ten o'clock at 35 00:01:28,520 --> 00:01:31,360 Speaker 2: night through to that next morning in that space. But 36 00:01:31,880 --> 00:01:35,120 Speaker 2: at the end of the day, when the hormone that 37 00:01:35,240 --> 00:01:37,640 Speaker 2: causes sleep builds up in the bloodstream, we're going to 38 00:01:37,720 --> 00:01:38,200 Speaker 2: go to sleep. 39 00:01:38,360 --> 00:01:40,000 Speaker 1: So you're telling me it's not the parents who are 40 00:01:40,000 --> 00:01:42,040 Speaker 1: the ones at risk of crashing, it's the other dudes 41 00:01:42,040 --> 00:01:44,600 Speaker 1: who've been on the road for several hours overnight who 42 00:01:44,600 --> 00:01:46,120 Speaker 1: were at risk of crashing into the parents. 43 00:01:46,240 --> 00:01:49,560 Speaker 2: Yeah, look, once again, it's actually any vehicle that has 44 00:01:49,600 --> 00:01:51,840 Speaker 2: a human behind the wheel is going to be praying 45 00:01:51,880 --> 00:01:54,120 Speaker 2: to this. It's all about our natural physiology. 46 00:01:54,240 --> 00:01:57,320 Speaker 1: Yeah, and then apparently worse also in August and September, 47 00:01:57,320 --> 00:01:59,360 Speaker 1: which I think probably makes sense because we're in that 48 00:01:59,560 --> 00:02:02,200 Speaker 1: we're getting and deep into the winter months. Yeah. 49 00:02:02,240 --> 00:02:05,160 Speaker 2: Absolutely, And I mean there's also an interesting thing around 50 00:02:05,480 --> 00:02:07,920 Speaker 2: daylight savings coming in that sort of September period. Of 51 00:02:08,000 --> 00:02:11,200 Speaker 2: daylight savings is one of the most amazing experiments that 52 00:02:11,320 --> 00:02:13,720 Speaker 2: affect billions of people around the world, and there's a 53 00:02:14,639 --> 00:02:18,080 Speaker 2: great stats around it. There's twenty five percent increase in 54 00:02:18,080 --> 00:02:21,359 Speaker 2: cardiac arress the day of daylight savings, with right when 55 00:02:21,360 --> 00:02:23,200 Speaker 2: we lose that, there's a twenty five percent increase in 56 00:02:23,240 --> 00:02:26,480 Speaker 2: car crashes. It's massive that one hour of sleep makes 57 00:02:26,520 --> 00:02:27,560 Speaker 2: a massive difference. 58 00:02:27,360 --> 00:02:30,480 Speaker 1: Is that right? Okay? Now, what do we do about it? 59 00:02:30,600 --> 00:02:32,360 Speaker 1: I mean, never mind the daylight saving because we're never 60 00:02:32,360 --> 00:02:34,160 Speaker 1: going to fix that, but what do we do about 61 00:02:34,200 --> 00:02:36,679 Speaker 1: this problem that's happening between seven and eight. 62 00:02:37,120 --> 00:02:40,000 Speaker 2: I guess it's like any it's a health thing. Really, 63 00:02:40,280 --> 00:02:43,639 Speaker 2: it's like the epidemic around obesity and those sorts of things. 64 00:02:43,720 --> 00:02:47,400 Speaker 2: It's all about education. This is the first time in 65 00:02:47,440 --> 00:02:50,120 Speaker 2: the last little bit that we've started to understand what's 66 00:02:50,160 --> 00:02:53,280 Speaker 2: actually happening inside a vehicle. We're very lucky. In vehicles, 67 00:02:53,320 --> 00:02:55,360 Speaker 2: the driver has to sit behind the steering wheel so 68 00:02:55,520 --> 00:02:58,280 Speaker 2: that the camera can pick up what's happening to them. 69 00:02:58,840 --> 00:03:01,120 Speaker 2: That allows us, if they do sleep, to wake them up. 70 00:03:01,400 --> 00:03:03,880 Speaker 2: But what we're now starting to be able to measure 71 00:03:03,960 --> 00:03:07,360 Speaker 2: is actually the impairment, So not just that they fall asleep, 72 00:03:07,440 --> 00:03:09,639 Speaker 2: but that period of an hour or so before that 73 00:03:09,639 --> 00:03:13,240 Speaker 2: they've been super super tired. In fact, what we see 74 00:03:13,240 --> 00:03:16,040 Speaker 2: as figures of impairment that is very similar to that 75 00:03:16,120 --> 00:03:19,120 Speaker 2: of alcohol. So you know, you think what happens to 76 00:03:19,120 --> 00:03:20,960 Speaker 2: here if you get caught at over the legal limit 77 00:03:21,000 --> 00:03:24,320 Speaker 2: of alcohol, Well, that's the same cognitive state that you're right. 78 00:03:24,400 --> 00:03:26,240 Speaker 1: Well, I mean you're making a case for you know how, 79 00:03:26,280 --> 00:03:28,520 Speaker 1: you have some of those drugs that cause drowsiness, Like 80 00:03:28,560 --> 00:03:31,160 Speaker 1: you'll have some pain killers, particularly the nerve blockers. You 81 00:03:31,240 --> 00:03:34,880 Speaker 1: have things like antidepression drugs cause drowsiness during the day. 82 00:03:35,160 --> 00:03:37,640 Speaker 1: So if what you're saying is right that drowsiness is 83 00:03:37,680 --> 00:03:39,840 Speaker 1: the same as having an alcohol impact, then those drugs 84 00:03:39,880 --> 00:03:42,080 Speaker 1: are potentially quite dangerous for people who are driving. 85 00:03:42,280 --> 00:03:44,800 Speaker 2: Absolutely, and there's a whole heap of them that if 86 00:03:44,840 --> 00:03:47,320 Speaker 2: you take them in combination with something else, you would 87 00:03:47,320 --> 00:03:48,440 Speaker 2: actually fail a drug. 88 00:03:48,240 --> 00:03:51,240 Speaker 1: Test the combination with what like alcohol the night before. 89 00:03:51,440 --> 00:03:53,360 Speaker 2: Yeah. Yeah, so there's I mean I don't know that 90 00:03:53,440 --> 00:03:55,920 Speaker 2: the complete details, but there are lists of things that 91 00:03:55,920 --> 00:03:58,560 Speaker 2: a should statins and whatever you shouldn't take together, and 92 00:03:59,040 --> 00:04:00,960 Speaker 2: it's something that most people aren't aware. 93 00:04:00,760 --> 00:04:01,800 Speaker 1: Of statins and what. 94 00:04:02,360 --> 00:04:02,800 Speaker 2: I don't know. 95 00:04:03,080 --> 00:04:04,720 Speaker 1: I'm just trying to build a case against my husband 96 00:04:04,800 --> 00:04:09,560 Speaker 1: right now because he's on the status and I'm sure 97 00:04:09,560 --> 00:04:12,000 Speaker 1: there's some micro sleeps happening. By the way, have you 98 00:04:12,040 --> 00:04:14,680 Speaker 1: ever been in one of those cars that does the 99 00:04:14,760 --> 00:04:16,880 Speaker 1: fatigued test on you when you're driving that like has 100 00:04:16,880 --> 00:04:17,719 Speaker 1: the cameras turned on you? 101 00:04:17,800 --> 00:04:19,800 Speaker 2: Yeah, that's the that's the product that we actually discreute, 102 00:04:19,800 --> 00:04:21,200 Speaker 2: which is where these numbers are coming from. 103 00:04:21,320 --> 00:04:23,480 Speaker 1: So so like the BYD for example, has that. 104 00:04:23,960 --> 00:04:26,919 Speaker 2: Yeah, but these are these are a retrofitted camera the 105 00:04:26,960 --> 00:04:28,680 Speaker 2: people that supply ours. 106 00:04:28,720 --> 00:04:31,400 Speaker 1: Which it's annoying though, can I say that, Charles, because 107 00:04:31,480 --> 00:04:33,480 Speaker 1: it was driving the b y D and it was like, 108 00:04:33,960 --> 00:04:36,200 Speaker 1: you need to pull over your yawning and I was like, no, 109 00:04:36,279 --> 00:04:38,159 Speaker 1: I'm just singing Bohemian Rhapsody And. 110 00:04:38,400 --> 00:04:40,599 Speaker 2: You don't necessarily you're not necessarily tired when you're yawning, 111 00:04:40,600 --> 00:04:44,080 Speaker 2: Like if you're yawning, you might be brought. So the 112 00:04:44,120 --> 00:04:46,760 Speaker 2: technology is not not all created again, I guess. So 113 00:04:47,200 --> 00:04:49,440 Speaker 2: the whole thing with the technology that we're working with 114 00:04:49,480 --> 00:04:52,039 Speaker 2: now is being able to pick up andpment. We're going 115 00:04:52,080 --> 00:04:53,800 Speaker 2: to be able to pick up alcohol adtection. But the 116 00:04:53,880 --> 00:04:56,680 Speaker 2: key thing is only picking it up when it's when 117 00:04:56,680 --> 00:04:58,040 Speaker 2: it's real interesting. 118 00:04:58,320 --> 00:05:00,240 Speaker 1: Okay, Hey, thank you very much. I really appre shared 119 00:05:00,240 --> 00:05:03,880 Speaker 1: at Charles. Thanks for talking us written, Thanks for here 120 00:05:03,920 --> 00:05:04,159 Speaker 1: it is. 121 00:05:04,360 --> 00:05:05,080 Speaker 2: Do you wanna have a craik? 122 00:05:06,160 --> 00:05:08,599 Speaker 1: Maybe not today, Okay, you're come in another time you 123 00:05:08,640 --> 00:05:13,880 Speaker 1: can do it. Thanks Chiles, appreciate it. Charles Dawin, I'm 124 00:05:13,920 --> 00:05:16,920 Speaker 1: having a micro sleep while we're on here. What the 125 00:05:17,000 --> 00:05:19,880 Speaker 1: hell's going on? Charles Dawson, He's never going to live 126 00:05:19,920 --> 00:05:23,440 Speaker 1: this down, Auto seems, Chief executive. For more from Hither 127 00:05:23,560 --> 00:05:26,560 Speaker 1: Duplessy Allen Drive, listen live to news talks it'd be 128 00:05:26,720 --> 00:05:30,599 Speaker 1: from four pm weekdays, or follow the podcast on iHeartRadio.