1 00:00:02,880 --> 00:00:05,200 Speaker 1: My name is Lily Maddon and I'm a proud Arunda 2 00:00:05,440 --> 00:00:10,200 Speaker 1: Bungelung Calcottin woman from Gadigl Country. The Daily oz acknowledges 3 00:00:10,280 --> 00:00:12,440 Speaker 1: that this podcast is recorded on the lands of the 4 00:00:12,480 --> 00:00:16,040 Speaker 1: Gadighl people and pays respect to all Aboriginal and Torres 5 00:00:16,040 --> 00:00:18,959 Speaker 1: Strait Island and nations. We pay our respects to the 6 00:00:19,000 --> 00:00:21,759 Speaker 1: first peoples of these countries, both past and present. 7 00:00:27,400 --> 00:00:30,440 Speaker 2: Good morning and welcome to the Daily Ods. Happy Friday 8 00:00:30,480 --> 00:00:33,360 Speaker 2: and Zara, Happy Random Acts of Kindness. 9 00:00:33,000 --> 00:00:35,000 Speaker 3: Day, our favorite day of the year. 10 00:00:35,080 --> 00:00:38,720 Speaker 2: It is the seventeenth of February. I'm Sam, I'm Zara. 11 00:00:39,840 --> 00:00:43,280 Speaker 2: The end of last year saw global tech companies struggling. 12 00:00:43,400 --> 00:00:46,720 Speaker 2: One hundred and fifty thousand tech workers have been laid 13 00:00:46,720 --> 00:00:49,760 Speaker 2: off in twenty twenty two alone. The twenty twenty three 14 00:00:49,880 --> 00:00:52,640 Speaker 2: shows no signs of slowing down. The job cuts in 15 00:00:52,680 --> 00:00:56,200 Speaker 2: big tech are piling up. Online retailer Amazon has confirmed 16 00:00:56,240 --> 00:00:59,480 Speaker 2: a coming round of mass layers. Entering the list of 17 00:00:59,520 --> 00:01:03,800 Speaker 2: companies cutting off jobs is Spotify Microsoft, who slashes six 18 00:01:03,880 --> 00:01:08,240 Speaker 2: percent of its work. For today, it's laying off ten. 19 00:01:07,360 --> 00:01:08,320 Speaker 3: Eight hundred employees. 20 00:01:08,840 --> 00:01:11,680 Speaker 2: So what's the latest in tech layoffs and why is 21 00:01:11,720 --> 00:01:14,040 Speaker 2: it happening. We'll let you know in the deep dive. 22 00:01:14,080 --> 00:01:16,839 Speaker 2: But first, Sarah, what is making headlines this morning? 23 00:01:21,840 --> 00:01:24,479 Speaker 3: The Federal government to release the findings of a new 24 00:01:24,520 --> 00:01:28,039 Speaker 3: privacy report, and it's recommended allowing ozzie's to know what 25 00:01:28,200 --> 00:01:31,040 Speaker 3: personal information of theirs is online and to have their 26 00:01:31,040 --> 00:01:35,120 Speaker 3: information deleted. Being able to opt out of targeted advertising 27 00:01:35,240 --> 00:01:37,960 Speaker 3: was also proposed in the review, which was aimed at 28 00:01:38,000 --> 00:01:41,400 Speaker 3: strengthening individual protection and control over information. 29 00:01:43,959 --> 00:01:46,520 Speaker 2: A Queensland woman has been jailed for nine years after 30 00:01:46,600 --> 00:01:49,080 Speaker 2: leaving her two children to die in an overheated car 31 00:01:49,160 --> 00:01:52,840 Speaker 2: in twenty nineteen. Kerry Anne Conley pleaded guilty to the 32 00:01:52,840 --> 00:01:55,600 Speaker 2: two man's laugh the charges this week, with Justice Peter 33 00:01:55,680 --> 00:01:59,560 Speaker 2: Applegarth telling Conley, she, as her children's sole custodian at 34 00:01:59,560 --> 00:02:02,480 Speaker 2: the time, had displayed quote gross criminal neglect. 35 00:02:04,640 --> 00:02:08,000 Speaker 3: The search for Scotland's new leader is now underway after 36 00:02:08,040 --> 00:02:11,560 Speaker 3: a longtime first minister, so that's the leader there in Scotland. 37 00:02:11,840 --> 00:02:16,200 Speaker 3: Nicholas Sturgeon announced her resignation earlier this week. Sturgeon will 38 00:02:16,200 --> 00:02:19,400 Speaker 3: remain as a Scottish National Party's leader until her successor 39 00:02:19,520 --> 00:02:20,040 Speaker 3: is found. 40 00:02:22,280 --> 00:02:24,640 Speaker 2: And today's good news. I think this story has led Zara. 41 00:02:24,760 --> 00:02:29,000 Speaker 2: Three spider species previously unknown to science have been discovered 42 00:02:29,000 --> 00:02:32,840 Speaker 2: in Australia's Alpine region during an eleven day research expedition. 43 00:02:33,480 --> 00:02:37,040 Speaker 2: The species include a warrior huntsman, a tiny jumping spider, 44 00:02:37,240 --> 00:02:41,160 Speaker 2: and a wraparound spider. Environment Minister Tanian Piversec said the 45 00:02:41,200 --> 00:02:45,359 Speaker 2: discovery would help provide quote a deeper understanding of Australian habitats. 46 00:02:45,560 --> 00:02:47,880 Speaker 3: I've simply never heard of worse good news in my life. 47 00:02:47,960 --> 00:02:57,760 Speaker 2: Ncy Wincy. One hundred and five thousand people have been 48 00:02:57,840 --> 00:03:00,720 Speaker 2: laid off from tech companies since the beginning of the year, 49 00:03:01,280 --> 00:03:03,840 Speaker 2: after over one hundred and sixty thousand people were laid 50 00:03:03,840 --> 00:03:04,800 Speaker 2: off last year. 51 00:03:05,080 --> 00:03:06,960 Speaker 3: Sorry for the whole of last year, it was one 52 00:03:07,040 --> 00:03:09,919 Speaker 3: hundred and sixty thousand. And we're two months into twenty 53 00:03:09,960 --> 00:03:12,120 Speaker 3: twenty three and it's already one hundred and five thousand. 54 00:03:12,320 --> 00:03:15,640 Speaker 2: It's looking like a rough year for tech. Every single 55 00:03:15,720 --> 00:03:18,359 Speaker 2: day there seems to be another tech layoff in the news. 56 00:03:18,680 --> 00:03:21,359 Speaker 3: There has been, and I think, like with many other 57 00:03:21,720 --> 00:03:24,400 Speaker 3: topics that we talk about today, it can kind of 58 00:03:24,600 --> 00:03:29,400 Speaker 3: feel very decentralized and very chaotic when you hear about 59 00:03:29,400 --> 00:03:33,160 Speaker 3: one company after another each day in the news, So 60 00:03:33,200 --> 00:03:34,760 Speaker 3: I kind of just want to bring it all together 61 00:03:35,000 --> 00:03:38,040 Speaker 3: and sam get a bit of an idea, a general 62 00:03:38,080 --> 00:03:40,880 Speaker 3: picture of what we're looking at with these mass layoffs, 63 00:03:41,040 --> 00:03:41,960 Speaker 3: especially in tech. 64 00:03:42,240 --> 00:03:44,760 Speaker 2: This most recent period of tech layoffs feels like it 65 00:03:44,880 --> 00:03:47,520 Speaker 2: started with news about Elon Musk making cuts at Twitter 66 00:03:47,560 --> 00:03:50,480 Speaker 2: at the end of last year. You'll remember that chaotic episode. 67 00:03:50,480 --> 00:03:53,920 Speaker 2: We were almost reporting on Elon every single day. Around 68 00:03:53,960 --> 00:03:56,600 Speaker 2: that time, we heard reports that roughly half the company's 69 00:03:56,640 --> 00:04:00,960 Speaker 2: workforce had been sacked. Not even a week later, Meta, 70 00:04:01,080 --> 00:04:04,280 Speaker 2: who's the owner of Facebook and Instagram, sacks thirteen percent 71 00:04:04,280 --> 00:04:07,120 Speaker 2: of its staff, So we're talking there about eleven thousand people, 72 00:04:07,560 --> 00:04:09,960 Speaker 2: and the layoffs have not slowed down. We heard that 73 00:04:10,040 --> 00:04:12,960 Speaker 2: Amazon would be laying off about five percent of its workforce. 74 00:04:13,040 --> 00:04:14,640 Speaker 2: That's eighteen thousand employees. 75 00:04:14,840 --> 00:04:16,600 Speaker 3: Imagine five percent of your workforce. 76 00:04:17,920 --> 00:04:19,560 Speaker 2: That's a big group of people, and that's a lot 77 00:04:19,600 --> 00:04:22,280 Speaker 2: of people to sack all at once. Google's parent company, 78 00:04:22,279 --> 00:04:25,280 Speaker 2: Alphabet announced they were planning to cut twelve thousand jobs. 79 00:04:25,520 --> 00:04:29,560 Speaker 2: We've also heard about layoffs at Microsoft, Spotify, and Zoom. 80 00:04:29,920 --> 00:04:32,520 Speaker 2: But I think it's important to acknowledge that this isn't 81 00:04:32,640 --> 00:04:36,200 Speaker 2: unique to the US. Closer to home, We have heard 82 00:04:36,240 --> 00:04:39,080 Speaker 2: in the last week or so that Australian delivery service 83 00:04:39,160 --> 00:04:42,279 Speaker 2: Milk Run told staff this week it will cut twenty 84 00:04:42,279 --> 00:04:45,520 Speaker 2: percent of its workforce, but it's not quite immediately clear 85 00:04:45,560 --> 00:04:49,000 Speaker 2: how many employees they have at present. Then we heard 86 00:04:49,080 --> 00:04:52,800 Speaker 2: yesterday KPMG announced they would be laying off seven hundred staff, 87 00:04:52,920 --> 00:04:54,839 Speaker 2: two hundred of whom are in Australia. 88 00:04:55,480 --> 00:05:04,279 Speaker 3: We'll be back right after this. You and I run 89 00:05:04,320 --> 00:05:07,360 Speaker 3: a business, and it feels like the first question people 90 00:05:07,400 --> 00:05:10,520 Speaker 3: ask us right now is are you scared about what's coming? 91 00:05:10,839 --> 00:05:13,080 Speaker 3: You know, we've raised money from investors. It's something that 92 00:05:13,120 --> 00:05:16,880 Speaker 3: we're acutely aware of. Can you just explain for people 93 00:05:16,920 --> 00:05:20,200 Speaker 3: that might not be as intimately involved, what's actually happening 94 00:05:20,240 --> 00:05:21,839 Speaker 3: out there, especially in tech? 95 00:05:22,160 --> 00:05:24,600 Speaker 2: Well, I think we're seeing this massive dip from the 96 00:05:24,640 --> 00:05:26,719 Speaker 2: sugar high for a lot of these companies that was 97 00:05:26,760 --> 00:05:30,080 Speaker 2: presented by COVID. Like if we take Amazon for example, 98 00:05:30,440 --> 00:05:32,640 Speaker 2: we were all online shopping and we're all stuck at 99 00:05:32,640 --> 00:05:35,279 Speaker 2: home spending a lot of money online and now we're 100 00:05:35,279 --> 00:05:37,120 Speaker 2: back in the real world. So it's funny. 101 00:05:37,120 --> 00:05:39,760 Speaker 3: We don't often talk about the upside of COVID. I mean, 102 00:05:39,760 --> 00:05:41,840 Speaker 3: there were so many downsides we were locked in homes. 103 00:05:41,880 --> 00:05:44,760 Speaker 3: Of course they're horrendous death rate and the rest, But 104 00:05:44,800 --> 00:05:48,080 Speaker 3: there was actually a huge uptick for a lot of companies. 105 00:05:48,120 --> 00:05:50,880 Speaker 2: People made a lot of money. Look at companies like Netflix, 106 00:05:50,920 --> 00:05:54,640 Speaker 2: they saw crazy amounts of subscriptions. A company like Zoom 107 00:05:54,680 --> 00:05:57,039 Speaker 2: is a really interesting one. We all paid for Zoom 108 00:05:57,120 --> 00:05:59,760 Speaker 2: in our workplaces, and now we're back in the offices, 109 00:06:00,440 --> 00:06:03,400 Speaker 2: so I can understand why they are making less money 110 00:06:03,400 --> 00:06:05,920 Speaker 2: than they did in the middle of the pandemic. And 111 00:06:06,320 --> 00:06:08,280 Speaker 2: a lot of the companies that we're talking about here 112 00:06:08,320 --> 00:06:12,120 Speaker 2: today really hired aggressively during the pandemic. 113 00:06:12,160 --> 00:06:13,360 Speaker 3: There was to meet that demand. 114 00:06:13,480 --> 00:06:16,039 Speaker 2: It was really hard to actually find talent during the 115 00:06:16,080 --> 00:06:18,240 Speaker 2: pandemic because everyone had a job, they were earning a 116 00:06:18,240 --> 00:06:20,400 Speaker 2: lot of money, and they didn't want to leave. But 117 00:06:20,440 --> 00:06:23,520 Speaker 2: then a few things happened. The first is that lockdown's 118 00:06:23,600 --> 00:06:27,560 Speaker 2: ended and things more or less returned to normal, and 119 00:06:27,600 --> 00:06:30,680 Speaker 2: that meant that the demand for all things tech did slow. 120 00:06:30,760 --> 00:06:33,160 Speaker 2: I mean, obviously we still use tech every day, but 121 00:06:33,480 --> 00:06:36,600 Speaker 2: not as intensely as we did for two years inside. 122 00:06:36,200 --> 00:06:38,080 Speaker 3: When we can go to the stores and buy things for. 123 00:06:38,040 --> 00:06:40,560 Speaker 2: Ourself exactly, So let me kind of frame it like this. 124 00:06:40,800 --> 00:06:43,520 Speaker 2: The combined value of the five biggest tech companies in 125 00:06:43,560 --> 00:06:48,760 Speaker 2: the world, so Alphabet, Amazon, Apple, Meta, and Microsoft, fell 126 00:06:48,960 --> 00:06:53,560 Speaker 2: collectively by nearly three point seven trillion US dollars last year. 127 00:06:54,160 --> 00:06:57,279 Speaker 2: When Google's CEO wrote to employees telling them that they'd 128 00:06:57,360 --> 00:06:59,560 Speaker 2: been sacked, he wrote that they hired for a different 129 00:06:59,600 --> 00:07:02,560 Speaker 2: economic reality than the one they face today. And one 130 00:07:02,600 --> 00:07:05,200 Speaker 2: of the other dimensions to that reality is that everything's 131 00:07:05,240 --> 00:07:07,360 Speaker 2: more expensive. And we've talked about this on the pod. 132 00:07:07,560 --> 00:07:09,240 Speaker 2: Tom likes to come on and talk about this on 133 00:07:09,279 --> 00:07:12,520 Speaker 2: the pod. We've seen a rise of inflation, climbing interest rates, 134 00:07:12,800 --> 00:07:16,880 Speaker 2: prices of things arising, and that impacts businesses because their 135 00:07:16,920 --> 00:07:20,240 Speaker 2: products cost more to produce. But it also interestingly makes 136 00:07:20,280 --> 00:07:23,600 Speaker 2: it more expensive for businesses to borrow money. And I 137 00:07:23,600 --> 00:07:25,360 Speaker 2: think it's really important to see on that point for 138 00:07:25,360 --> 00:07:28,160 Speaker 2: a minute, because in tech land, borrowing money is a 139 00:07:28,240 --> 00:07:32,360 Speaker 2: really important part of aggressively growing a business for businesses 140 00:07:32,520 --> 00:07:36,080 Speaker 2: which might not make money from customers straight away. Now, 141 00:07:36,400 --> 00:07:38,920 Speaker 2: in light of all of this, it seems like layoffs 142 00:07:39,000 --> 00:07:41,920 Speaker 2: are the one thing businesses can do and they can 143 00:07:42,000 --> 00:07:45,320 Speaker 2: have control over. It helps them save cash because they 144 00:07:45,320 --> 00:07:47,160 Speaker 2: don't have to pay as many people a salary, but 145 00:07:47,200 --> 00:07:50,120 Speaker 2: it also makes them appear more profitable because they're banking 146 00:07:50,160 --> 00:07:53,200 Speaker 2: more than they're spending. It also sends a really strong 147 00:07:53,200 --> 00:07:56,440 Speaker 2: message to their investors that they're taking this situation really 148 00:07:56,480 --> 00:07:59,720 Speaker 2: seriously and they're totally prepared for dark times ahead. 149 00:08:00,160 --> 00:08:03,320 Speaker 3: You said there to signal to investors. And I think 150 00:08:03,360 --> 00:08:05,000 Speaker 3: one of the things that we hear a lot about 151 00:08:05,200 --> 00:08:07,640 Speaker 3: is this idea of valuations. The fact that a lot 152 00:08:07,680 --> 00:08:11,240 Speaker 3: of tech companies, especially here in Australia, actually raised at 153 00:08:11,240 --> 00:08:16,040 Speaker 3: these crazy valuations that they're no longer being benchmarked against. 154 00:08:16,000 --> 00:08:19,440 Speaker 2: Exactly, and that's making them really have to scrutinize their 155 00:08:19,480 --> 00:08:20,080 Speaker 2: own numbers. 156 00:08:20,160 --> 00:08:22,080 Speaker 3: Wait, what's a valuation for anyone listening. 157 00:08:22,200 --> 00:08:25,920 Speaker 2: Evaluation is the value of a company that an an 158 00:08:25,920 --> 00:08:28,560 Speaker 2: investor and a company agree on when the investor gives 159 00:08:28,600 --> 00:08:32,800 Speaker 2: money in exchange for stocks, and that valuation is sometimes 160 00:08:32,880 --> 00:08:36,439 Speaker 2: loosely based on numbers. But what we've learned over the 161 00:08:36,520 --> 00:08:39,280 Speaker 2: kind of tech boom of the pandemic is that they're 162 00:08:39,320 --> 00:08:43,440 Speaker 2: also based on hype. They're based on competitor analysis, they're 163 00:08:43,440 --> 00:08:47,960 Speaker 2: based on promises of future forecasts that say that the 164 00:08:48,000 --> 00:08:50,800 Speaker 2: growth at the rate of the pandemic is going to continue. 165 00:08:50,840 --> 00:08:53,320 Speaker 2: For years and years to come, and so as a result, 166 00:08:53,600 --> 00:08:57,640 Speaker 2: investors aren't really willing to accept those valuations anymore. 167 00:08:57,920 --> 00:09:00,480 Speaker 3: The hype has gone, that uput ofm is. 168 00:09:00,480 --> 00:09:03,080 Speaker 2: Gone, exactly money left with And it's really tricky for 169 00:09:03,160 --> 00:09:06,360 Speaker 2: us in the media because companies aren't always forthcoming with 170 00:09:06,400 --> 00:09:09,480 Speaker 2: their valuations. But we can tell kind of the value 171 00:09:09,480 --> 00:09:11,080 Speaker 2: by how much they raise. So if you look at 172 00:09:11,120 --> 00:09:14,000 Speaker 2: a company like milk Run, for example, in twenty twenty one, 173 00:09:14,679 --> 00:09:18,280 Speaker 2: they raise seventy five million dollars at a high valuation, 174 00:09:18,600 --> 00:09:21,440 Speaker 2: and we again don't know the exact valuation, but it's 175 00:09:21,480 --> 00:09:24,360 Speaker 2: clear that by raising that much money and giving away 176 00:09:24,400 --> 00:09:26,040 Speaker 2: not a lot of the company, it was a lot. 177 00:09:26,640 --> 00:09:29,880 Speaker 2: Now the company is struggling to raise any money at all, 178 00:09:30,520 --> 00:09:33,360 Speaker 2: and so that really, to me, symbolizes that the tone 179 00:09:33,440 --> 00:09:36,880 Speaker 2: of investors has changed. And because raising money is much harder, 180 00:09:37,000 --> 00:09:39,040 Speaker 2: businesses have to look inwards, and one of the ways 181 00:09:39,080 --> 00:09:41,120 Speaker 2: they look inwards is cutting people. 182 00:09:41,760 --> 00:09:46,120 Speaker 3: What of the other questions we always get asked after 183 00:09:46,320 --> 00:09:48,520 Speaker 3: how does the daily oos make money, is are you 184 00:09:48,559 --> 00:09:51,680 Speaker 3: worried about going into recession and how will you survive that? 185 00:09:52,720 --> 00:09:55,960 Speaker 3: Obviously those fears are very real, especially when we look 186 00:09:56,000 --> 00:09:59,200 Speaker 3: at how many layoffs there have been and kind of 187 00:09:59,200 --> 00:10:02,760 Speaker 3: the state of the in general. Do you see these 188 00:10:02,840 --> 00:10:04,439 Speaker 3: layoffs as a sign of that happening. 189 00:10:04,760 --> 00:10:06,719 Speaker 2: It's a tricky one to answer. Why don't we just 190 00:10:06,800 --> 00:10:09,760 Speaker 2: quickly go over what a recession is? So basically, a 191 00:10:09,800 --> 00:10:13,960 Speaker 2: recession is when GDP or economic activity declines for six 192 00:10:14,000 --> 00:10:16,360 Speaker 2: months in a row. The last time we had the 193 00:10:16,360 --> 00:10:19,400 Speaker 2: global recession was because of the pandemic in twenty twenty. 194 00:10:19,520 --> 00:10:21,800 Speaker 2: How could we forget If we have another one now, 195 00:10:21,840 --> 00:10:24,080 Speaker 2: it will be the first time since the Great Depression 196 00:10:24,120 --> 00:10:26,200 Speaker 2: that we would have had two recessions in a decade. 197 00:10:26,240 --> 00:10:29,280 Speaker 2: So that's some pretty rough times. Yeah, the World Bank 198 00:10:29,280 --> 00:10:31,000 Speaker 2: has given a warning and they've said that we are 199 00:10:31,120 --> 00:10:33,840 Speaker 2: extremely close to a global recession, and they say that's 200 00:10:33,840 --> 00:10:35,559 Speaker 2: partially due to interest rates. 201 00:10:35,880 --> 00:10:40,600 Speaker 3: So thank you for a politician's answer providing me with 202 00:10:40,640 --> 00:10:43,920 Speaker 3: an explanation of everything except what I asked. Are we 203 00:10:44,000 --> 00:10:45,040 Speaker 3: heading into a recession? 204 00:10:45,320 --> 00:10:47,480 Speaker 2: Well? I don't hold a crystal ball, and no one 205 00:10:47,520 --> 00:10:49,600 Speaker 2: knows exactly what's going to happen, But I think we 206 00:10:49,640 --> 00:10:52,880 Speaker 2: can look at some cold hard numbers and redundancies in 207 00:10:52,960 --> 00:10:56,080 Speaker 2: major companies. Planning for the future shows me that much 208 00:10:56,160 --> 00:10:58,880 Speaker 2: smarter people than myself in those companies responsible for a 209 00:10:58,880 --> 00:11:02,080 Speaker 2: lot of moneyning for a big storm ahead, and so 210 00:11:02,160 --> 00:11:05,119 Speaker 2: you have to think that amongst all the different companies, 211 00:11:05,520 --> 00:11:09,559 Speaker 2: clearly with a pattern of reducing their staff, that it's 212 00:11:09,559 --> 00:11:11,840 Speaker 2: going to be a tough year economically. We do have 213 00:11:11,880 --> 00:11:14,559 Speaker 2: an alternate point of view from the Federal Treasurer Jim Chalmers. 214 00:11:14,600 --> 00:11:17,360 Speaker 2: He says that Australia might have avoided the worst of 215 00:11:17,360 --> 00:11:20,600 Speaker 2: an economic downturn, but really only time will tell. 216 00:11:21,000 --> 00:11:23,240 Speaker 3: I think a good note to end on there is 217 00:11:23,600 --> 00:11:26,880 Speaker 3: that while we talk about these numbers of layoffs and 218 00:11:27,360 --> 00:11:30,840 Speaker 3: employment rates and the like, behind these numbers are people 219 00:11:31,000 --> 00:11:34,640 Speaker 3: who have livelihoods that they've now lost. And that is 220 00:11:34,760 --> 00:11:38,120 Speaker 3: an incredibly stressful position to be in, especially in an 221 00:11:38,160 --> 00:11:41,520 Speaker 3: economic environment that is seeing cost of living going up, 222 00:11:41,840 --> 00:11:46,000 Speaker 3: housing become utterly inaccessible. And so I guess when reading 223 00:11:46,040 --> 00:11:48,160 Speaker 3: these sorts of stories, or when listening to these sorts 224 00:11:48,200 --> 00:11:50,480 Speaker 3: of stories, it's always good to remember the human story 225 00:11:50,559 --> 00:11:51,400 Speaker 3: behind the numbers. 226 00:11:52,559 --> 00:11:54,600 Speaker 2: It's a little hard to kind of move to the 227 00:11:54,600 --> 00:11:57,480 Speaker 2: theme of the day from that, but perhaps in another 228 00:11:57,480 --> 00:11:59,839 Speaker 2: way it's actually not because today is random acts of 229 00:12:00,200 --> 00:12:02,360 Speaker 2: this day, so it might be one of those days 230 00:12:02,400 --> 00:12:03,959 Speaker 2: to reach out to the person who knows had a 231 00:12:04,040 --> 00:12:06,360 Speaker 2: rough time in their jobs in the last couple of months, 232 00:12:07,280 --> 00:12:09,000 Speaker 2: and so at TDA we wanted to do our own 233 00:12:09,040 --> 00:12:12,600 Speaker 2: little thing, and that's two fun giveaways on our Instagram feed. Today. 234 00:12:12,800 --> 00:12:15,600 Speaker 2: We've partnered up with Boost and Messina and there's going 235 00:12:15,640 --> 00:12:17,640 Speaker 2: to be one hundred winners all up, and I definitely 236 00:12:17,679 --> 00:12:19,280 Speaker 2: feel like it's one of those times where if you 237 00:12:19,280 --> 00:12:22,400 Speaker 2: say to yourself, I never win anything, today could be 238 00:12:22,480 --> 00:12:23,680 Speaker 2: the time that you actually do. 239 00:12:24,080 --> 00:12:26,520 Speaker 3: I have literally never won anything in my whole life, 240 00:12:26,559 --> 00:12:29,880 Speaker 3: but having one hundred chances to win does feel like 241 00:12:29,920 --> 00:12:32,360 Speaker 3: I might get there. All you have to do to 242 00:12:32,520 --> 00:12:35,120 Speaker 3: enter is tag a friend in the comment section. There 243 00:12:35,160 --> 00:12:38,400 Speaker 3: are no strings attached. We are not being paid for this. 244 00:12:38,520 --> 00:12:40,640 Speaker 3: We're just trying to be random and kind. 245 00:12:41,280 --> 00:12:44,280 Speaker 2: So I hope you win either a Boost juice or 246 00:12:44,320 --> 00:12:46,680 Speaker 2: a scoop of ice cream from Messina, have a wonderful 247 00:12:46,760 --> 00:12:48,559 Speaker 2: random act of kindness day, and we'll speak to you 248 00:12:48,600 --> 00:12:51,959 Speaker 2: on Monday morning.