1 00:00:00,080 --> 00:00:02,639 Speaker 1: Good morning, everybody. Welcome to the Daily Oz. Another week 2 00:00:02,720 --> 00:00:05,960 Speaker 1: has rolled around. It is the twenty first of March. 3 00:00:06,120 --> 00:00:09,040 Speaker 1: I'm joined today by Maria Laddis. Today's Deep Dive, We're 4 00:00:09,039 --> 00:00:12,680 Speaker 1: going to be talking about Happiness, an organization that sat 5 00:00:12,720 --> 00:00:16,600 Speaker 1: down and ranked the world's happiest and most unhappy countries. 6 00:00:16,680 --> 00:00:19,880 Speaker 1: We're going to discuss the findings. Mariah kick us off. 7 00:00:20,079 --> 00:00:22,400 Speaker 1: What was a big story from the weekend. 8 00:00:23,800 --> 00:00:27,840 Speaker 2: Yesterday the federal government announced additional support for Ukraine amid 9 00:00:27,880 --> 00:00:31,920 Speaker 2: Russia's ongoing invasion of the nation. The support includes a 10 00:00:31,920 --> 00:00:35,960 Speaker 2: twenty one million dollar package of military assistance and equipment, 11 00:00:36,400 --> 00:00:40,440 Speaker 2: thirty million dollars in humanitarian assistance, and a donation of 12 00:00:40,520 --> 00:00:45,400 Speaker 2: seventy thousand tons of thermal coal. Humanitarian visas for Ukrainians 13 00:00:45,400 --> 00:00:49,360 Speaker 2: who flee the country will also be introduced, allowing individuals 14 00:00:49,400 --> 00:00:53,400 Speaker 2: to work, study and access medicare in Australia for three years. 15 00:00:54,520 --> 00:00:57,720 Speaker 1: Two Domestic politics now and following a defeat in South 16 00:00:57,760 --> 00:01:01,960 Speaker 1: Australia's state election over the weekend, outgoing Premier Stephen Marshall 17 00:01:02,040 --> 00:01:04,600 Speaker 1: has announced he is stepping down as leader of the 18 00:01:04,600 --> 00:01:08,080 Speaker 1: Liberal Party. Marshall released a statement yesterday and he said 19 00:01:08,120 --> 00:01:10,920 Speaker 1: Whilst I am disappointed by the election outcome, I take 20 00:01:10,959 --> 00:01:13,720 Speaker 1: full responsibility for the result and accept the will of 21 00:01:13,760 --> 00:01:18,520 Speaker 1: the people. Despite his resignation, Marshall will remain in politics 22 00:01:18,560 --> 00:01:20,319 Speaker 1: representing the people of Dunstan. 23 00:01:21,040 --> 00:01:25,319 Speaker 2: Hillsong's interim global Pastor Phil Dooley has apologized to two 24 00:01:25,440 --> 00:01:30,080 Speaker 2: individuals who have made complaints against the church's founder, Brian Houston. 25 00:01:30,520 --> 00:01:33,120 Speaker 2: Dooley said, I want to say we are sorry for 26 00:01:33,240 --> 00:01:36,160 Speaker 2: anyone who has been a victim of any form of harassment. 27 00:01:36,440 --> 00:01:39,920 Speaker 2: Hillsong's board confirmed it had been dealing with two complaints 28 00:01:39,920 --> 00:01:43,120 Speaker 2: made against Pastor Brian over the last ten years. 29 00:01:43,760 --> 00:01:46,360 Speaker 1: And today's good news comes from the world of sports. 30 00:01:46,440 --> 00:01:50,600 Speaker 1: Australian Olympic moguls champion Jakara Anthony has become Australia's most 31 00:01:50,680 --> 00:01:54,160 Speaker 1: successful winter sports athlete in a single season after winning 32 00:01:54,200 --> 00:01:57,800 Speaker 1: a twelfth medal over the weekend in France. Anthony claimed 33 00:01:57,840 --> 00:02:00,559 Speaker 1: two silver medals at the women's Moguls World Cup Final, 34 00:02:00,840 --> 00:02:04,280 Speaker 1: breaking the Australian record and becoming the Queen of the slopes. 35 00:02:09,600 --> 00:02:13,600 Speaker 2: The United Nations Sustainable Development Solutions Network has released a 36 00:02:13,639 --> 00:02:17,640 Speaker 2: report called the World Happiness Report, and as the title says, 37 00:02:17,919 --> 00:02:20,720 Speaker 2: it looks like happiness around the world and ranks most 38 00:02:20,760 --> 00:02:24,519 Speaker 2: countries dependent on how happy they are. If you're confused 39 00:02:24,560 --> 00:02:26,760 Speaker 2: on how that is done, and I know I was 40 00:02:26,800 --> 00:02:29,240 Speaker 2: when I first heard about this, We're going to try 41 00:02:29,280 --> 00:02:31,440 Speaker 2: and break this down on how they figured it out. 42 00:02:31,680 --> 00:02:34,640 Speaker 2: The results of the report found that Finland topped the charts, 43 00:02:34,919 --> 00:02:37,480 Speaker 2: being labeled the happiest nation in the world for a 44 00:02:37,560 --> 00:02:40,640 Speaker 2: fifth year in a row. The report also revealed the 45 00:02:40,720 --> 00:02:43,440 Speaker 2: least happiest countries in the world, and there is a 46 00:02:43,480 --> 00:02:46,840 Speaker 2: common theme that binds them all. Now, Sam, before we 47 00:02:46,919 --> 00:02:50,440 Speaker 2: get into where some of the countries are ranked, how 48 00:02:50,480 --> 00:02:52,840 Speaker 2: does one measure the happiness of a country? 49 00:02:53,320 --> 00:02:56,680 Speaker 1: This was the golden question for us in preparing for 50 00:02:56,680 --> 00:02:59,560 Speaker 1: this podcast. Super interesting idea that you can kind of 51 00:02:59,600 --> 00:03:02,840 Speaker 1: take us snapshot of a nation and try and pop 52 00:03:02,880 --> 00:03:05,480 Speaker 1: out a number that indicates how happy the people are. 53 00:03:05,560 --> 00:03:08,440 Speaker 1: But here's how the report does it. They use six 54 00:03:08,720 --> 00:03:13,119 Speaker 1: key indicators to measure happiness, and the indicators range from 55 00:03:13,240 --> 00:03:19,240 Speaker 1: objective criteria, so numbers figures such as GDP, which is 56 00:03:19,320 --> 00:03:21,720 Speaker 1: the gross domestic product and the total value of all 57 00:03:21,760 --> 00:03:24,760 Speaker 1: goods and services produced within the country. So I think 58 00:03:24,800 --> 00:03:27,440 Speaker 1: they're they're trying to indicate kind of wealth, but also 59 00:03:27,560 --> 00:03:30,959 Speaker 1: subjective criteria, and that can be things like how generous 60 00:03:31,080 --> 00:03:34,200 Speaker 1: people in the country are. So those six criteria are 61 00:03:34,240 --> 00:03:39,040 Speaker 1: GDP per capita, social support, healthy life expectancy, that's one 62 00:03:39,040 --> 00:03:41,400 Speaker 1: of the ones that can be really accurately measured. Then 63 00:03:41,480 --> 00:03:45,440 Speaker 1: the ones that can't be generosity, freedom, and perceptions of corruption. 64 00:03:46,000 --> 00:03:49,680 Speaker 1: They then have created a country called Dystopia, and Dystopia 65 00:03:49,720 --> 00:03:53,000 Speaker 1: takes the worst results from each of those categories and 66 00:03:53,320 --> 00:03:55,720 Speaker 1: makes a made up country, and the country is then 67 00:03:55,880 --> 00:04:00,440 Speaker 1: compared to Dystopia to pop out an index number. They 68 00:04:00,680 --> 00:04:03,480 Speaker 1: tend to talk to sample sizes of about one thousand 69 00:04:03,520 --> 00:04:06,880 Speaker 1: to three thousand people per country to gather the data, 70 00:04:06,920 --> 00:04:09,840 Speaker 1: and for some of those more subjective indicators, people are 71 00:04:09,880 --> 00:04:13,440 Speaker 1: surveyed with questionnaires like you'd get online, and that's how 72 00:04:13,440 --> 00:04:16,120 Speaker 1: they gather the information. They did this over a three 73 00:04:16,160 --> 00:04:18,200 Speaker 1: year period and then take the averages of the three 74 00:04:18,240 --> 00:04:19,679 Speaker 1: years and pop out a number. 75 00:04:20,120 --> 00:04:23,680 Speaker 2: Right, So then how did countries go? Where were they ranked? 76 00:04:24,040 --> 00:04:25,720 Speaker 1: So before we jump into the list, I think it's 77 00:04:25,720 --> 00:04:28,680 Speaker 1: important to note, as the authors of the report did, 78 00:04:28,680 --> 00:04:33,560 Speaker 1: that this report was all researched before Russia's invasion in Ukraine, 79 00:04:34,000 --> 00:04:38,479 Speaker 1: so just don't think about that particular ongoing news story 80 00:04:38,520 --> 00:04:41,640 Speaker 1: while you're reading these results. So the happiest countries in 81 00:04:41,640 --> 00:04:47,680 Speaker 1: the world, unsurprisingly, are all from Northern Europe Finland, Denmark, Iceland, Switzerland, 82 00:04:47,839 --> 00:04:51,520 Speaker 1: and the Netherlands. So let's talk about Finland here for 83 00:04:51,560 --> 00:04:54,360 Speaker 1: a second. Researchers noted that the nation was ahead of 84 00:04:54,400 --> 00:04:57,840 Speaker 1: every other country by a significant margin, so there is 85 00:04:57,880 --> 00:05:00,960 Speaker 1: no doubt that Finland is the happiest country. But if 86 00:05:00,960 --> 00:05:03,599 Speaker 1: we look at increases in well being from the last 87 00:05:03,600 --> 00:05:06,520 Speaker 1: time these results were gathered, we see countries like Bulgaria, 88 00:05:06,680 --> 00:05:10,919 Speaker 1: Romania and Serbia take quite a big jump. On the 89 00:05:10,920 --> 00:05:13,240 Speaker 1: other side of the list. Right down the bottom, the 90 00:05:13,279 --> 00:05:18,960 Speaker 1: most unhappy countries were Afghanistan, Lebanon, Zimbabwe, Rwanda and Botswana. 91 00:05:19,080 --> 00:05:22,720 Speaker 1: Afghanistan was the bottom of the table by quite away 92 00:05:22,800 --> 00:05:25,360 Speaker 1: as well, and they've remained in the same position from 93 00:05:25,360 --> 00:05:28,400 Speaker 1: the last time these results were released. And they've had 94 00:05:28,640 --> 00:05:31,120 Speaker 1: a massive twelve months, as I'm sure you remember, with 95 00:05:31,160 --> 00:05:34,719 Speaker 1: the Taliban returning to power and US troops leaving the nation. 96 00:05:35,080 --> 00:05:37,600 Speaker 2: So this report has been going on for quite a 97 00:05:37,640 --> 00:05:41,239 Speaker 2: while ten years to be exact, but this year's data 98 00:05:41,279 --> 00:05:45,320 Speaker 2: collection was particularly interesting. Can you take me through why. 99 00:05:45,680 --> 00:05:47,919 Speaker 1: So they're stuck with all these key indicators that have 100 00:05:48,120 --> 00:05:50,800 Speaker 1: given them some really strong results, and they've been able 101 00:05:50,839 --> 00:05:54,120 Speaker 1: to compare the increases and decreases because they've been doing 102 00:05:54,160 --> 00:05:57,279 Speaker 1: this same methodology for a few years. The new flavor 103 00:05:57,360 --> 00:06:00,800 Speaker 1: this year was social media data being used to compare 104 00:06:00,880 --> 00:06:05,000 Speaker 1: people's emotions, particularly in relation to the COVID nineteen pandemic. 105 00:06:05,480 --> 00:06:09,920 Speaker 1: The way they did this was counting emotional words mainly 106 00:06:09,960 --> 00:06:13,440 Speaker 1: on Twitter, and also using AI and machine learning to 107 00:06:13,480 --> 00:06:15,960 Speaker 1: try and engage the sentiment in a country. So with 108 00:06:16,000 --> 00:06:20,600 Speaker 1: these particular tools of social media analysis, the report found 109 00:06:20,640 --> 00:06:24,520 Speaker 1: there were strong increases in anxiety and sadness, and that's 110 00:06:24,520 --> 00:06:27,280 Speaker 1: not surprising. It was a pretty dire couple of years 111 00:06:27,320 --> 00:06:29,599 Speaker 1: for all of us during the pandemic. But they did 112 00:06:29,640 --> 00:06:32,280 Speaker 1: note a fall in feelings of anger, which I found 113 00:06:32,360 --> 00:06:33,120 Speaker 1: quite interesting. 114 00:06:33,680 --> 00:06:37,640 Speaker 2: Bringing it back home, where did Australia rank in this table? 115 00:06:37,960 --> 00:06:41,520 Speaker 1: Australia held firm. We are still sitting in twelfth spot, 116 00:06:41,560 --> 00:06:45,599 Speaker 1: just above Ireland and just below Austria. Australia did beat 117 00:06:45,640 --> 00:06:48,839 Speaker 1: out Germany, Canada, the US and the UK, so not 118 00:06:48,960 --> 00:06:53,240 Speaker 1: a bad representation of Australia's happiness. But we've certainly got 119 00:06:53,279 --> 00:06:55,360 Speaker 1: a little bit to go before we crack the Northern 120 00:06:55,400 --> 00:06:56,719 Speaker 1: European top of the table. 121 00:06:56,920 --> 00:06:59,159 Speaker 2: And then for the countries that were at the bottom 122 00:06:59,160 --> 00:07:01,880 Speaker 2: of the list, were there any key patterns that were 123 00:07:01,920 --> 00:07:03,320 Speaker 2: noticed throughout the research? 124 00:07:03,640 --> 00:07:06,760 Speaker 1: So the authors of the report very clearly said that 125 00:07:06,960 --> 00:07:10,720 Speaker 1: conflict and extreme poverty were the common factors down the 126 00:07:10,720 --> 00:07:12,880 Speaker 1: bottom of the list, not just in the bottom five, 127 00:07:13,080 --> 00:07:16,600 Speaker 1: but the kind of twenty or so above that we saw, 128 00:07:16,680 --> 00:07:21,360 Speaker 1: you know, quite devastating results that people in Afghanistan rated 129 00:07:21,400 --> 00:07:24,080 Speaker 1: their quality of life at an average of two point 130 00:07:24,160 --> 00:07:26,800 Speaker 1: four out of ten. The authors of the report said 131 00:07:26,800 --> 00:07:30,640 Speaker 1: this was a stark reminder of the material and immaterial 132 00:07:30,720 --> 00:07:33,240 Speaker 1: damage that war does to its many victims. 133 00:07:33,600 --> 00:07:36,480 Speaker 2: And now, to sort of look from a different perspective, 134 00:07:36,920 --> 00:07:40,080 Speaker 2: have there been any critiques of the report, considering it 135 00:07:40,120 --> 00:07:42,440 Speaker 2: has been going on for about ten years now. 136 00:07:42,800 --> 00:07:45,720 Speaker 1: I think the main critique online is basically the sentiment 137 00:07:45,840 --> 00:07:49,400 Speaker 1: that it's really hard to measure happiness, that on one 138 00:07:49,480 --> 00:07:52,120 Speaker 1: day to the other we could be feeling particularly happy 139 00:07:52,240 --> 00:07:55,040 Speaker 1: or unhappy, and if we're relying on survey data to 140 00:07:55,080 --> 00:07:57,920 Speaker 1: give an indication of a whole nation's happiness, we have 141 00:07:58,040 --> 00:08:01,360 Speaker 1: to take this fragility in the data into account. I 142 00:08:01,360 --> 00:08:04,680 Speaker 1: think a really interesting critique is around cultural differences that 143 00:08:04,800 --> 00:08:07,720 Speaker 1: in some parts of the world, reflecting on one's success 144 00:08:07,880 --> 00:08:11,200 Speaker 1: and almost boasting about one's success and good fortune is 145 00:08:11,240 --> 00:08:14,400 Speaker 1: frowned upon, and there's an idea that that could play 146 00:08:14,440 --> 00:08:17,040 Speaker 1: into the way that people self report on their own 147 00:08:17,360 --> 00:08:20,440 Speaker 1: state of life. Then the last one is getting a 148 00:08:20,480 --> 00:08:22,760 Speaker 1: bit psychological and philosophical. I feel like I'm in a 149 00:08:22,840 --> 00:08:26,400 Speaker 1: university psychology lecture, but that's about memories. So you know, 150 00:08:26,920 --> 00:08:28,800 Speaker 1: how we're feeling on the particular day that we were 151 00:08:28,800 --> 00:08:31,560 Speaker 1: asked about whether we were happy might not be representative 152 00:08:31,640 --> 00:08:34,000 Speaker 1: of how we've been over the last twelve months. So 153 00:08:34,040 --> 00:08:38,079 Speaker 1: some interesting flaws in the data there. Nonetheless, there are 154 00:08:38,160 --> 00:08:43,600 Speaker 1: some really clear quantitative indicators like life expectancy and GDP 155 00:08:43,800 --> 00:08:46,200 Speaker 1: that can give us an indication of which countries are 156 00:08:46,240 --> 00:08:46,760 Speaker 1: doing well. 157 00:08:47,320 --> 00:08:50,319 Speaker 2: I want to focus again on the clear trends within 158 00:08:50,400 --> 00:08:56,760 Speaker 2: the report, particularly around the more possibly negative emotions like stress, worry, 159 00:08:56,840 --> 00:09:00,920 Speaker 2: and sadness, you know, not necessarily looking at happiness. What 160 00:09:00,960 --> 00:09:03,520 Speaker 2: did the report say about those types of emotions. 161 00:09:04,200 --> 00:09:07,240 Speaker 1: So these results were gathered from that social media listening 162 00:09:07,280 --> 00:09:09,800 Speaker 1: piece that we talked about before, but also from the 163 00:09:09,840 --> 00:09:13,520 Speaker 1: survey results from across the world, and what their report 164 00:09:13,640 --> 00:09:17,000 Speaker 1: found was that on average, the world is experiencing a 165 00:09:17,080 --> 00:09:21,079 Speaker 1: long term, moderate upward trend in stress, worry and sadness 166 00:09:21,480 --> 00:09:24,760 Speaker 1: and a decline in the enjoyment of life. And that 167 00:09:24,920 --> 00:09:28,840 Speaker 1: has to do with the COVID nineteen pandemic undoubtedly, and 168 00:09:28,880 --> 00:09:31,280 Speaker 1: it'll be interesting to see how the results move over 169 00:09:31,320 --> 00:09:33,880 Speaker 1: the next few years. However, now it seems like we've 170 00:09:33,920 --> 00:09:36,200 Speaker 1: got a whole lot more to worry about in terms 171 00:09:36,240 --> 00:09:40,239 Speaker 1: of new variants, but also a potential more global conflict. 172 00:09:40,800 --> 00:09:43,520 Speaker 1: What was interesting though from the report was that there 173 00:09:43,600 --> 00:09:46,800 Speaker 1: was one particular sentiment that was on the up and 174 00:09:46,880 --> 00:09:49,400 Speaker 1: that was kindness. And I think this is a really 175 00:09:49,440 --> 00:09:52,280 Speaker 1: important point to drive home for everybody listening. On a 176 00:09:52,280 --> 00:09:57,559 Speaker 1: Monday morning, helping strangers, volunteering and donations were up across 177 00:09:57,640 --> 00:10:00,640 Speaker 1: the world. Sometimes they were up by twenty five from 178 00:10:00,679 --> 00:10:04,040 Speaker 1: the last time those numbers were taken, and this surge 179 00:10:04,160 --> 00:10:08,720 Speaker 1: of benevolence is incredible to realize. The reports founding editors 180 00:10:08,760 --> 00:10:11,640 Speaker 1: said that in terms of us helping strangers, it provides 181 00:10:11,800 --> 00:10:15,240 Speaker 1: powerful evidence that people respond to help others in need, 182 00:10:15,520 --> 00:10:18,400 Speaker 1: creating in the process more happiness for the beneficiaries, for 183 00:10:18,440 --> 00:10:22,559 Speaker 1: the people receiving the happiness, gestures good examples for others 184 00:10:22,559 --> 00:10:25,120 Speaker 1: to follow, and better lives for themselves. And what that 185 00:10:25,200 --> 00:10:27,840 Speaker 1: really shows me is that whilst certain parts of the 186 00:10:27,840 --> 00:10:31,520 Speaker 1: world clearly are happy, one thing that the world seems 187 00:10:31,520 --> 00:10:34,400 Speaker 1: to have developed over the last couple of years is empathy, 188 00:10:34,520 --> 00:10:37,280 Speaker 1: and that is a fascinating concept. I didn't think we'd 189 00:10:37,320 --> 00:10:40,360 Speaker 1: be able to quantify that increase in empathy, but it 190 00:10:40,440 --> 00:10:43,360 Speaker 1: seems that the World Happiness Body has done so. 191 00:10:44,080 --> 00:10:47,360 Speaker 2: There were some super interesting findings in there, Sam, and 192 00:10:47,600 --> 00:10:50,280 Speaker 2: we can only hope that global happiness will continue to 193 00:10:50,320 --> 00:10:50,760 Speaker 2: go up. 194 00:10:51,000 --> 00:10:52,880 Speaker 1: That is all we have time for today on the 195 00:10:52,960 --> 00:10:55,120 Speaker 1: Daily Oz. Thank you all for listening so much. If 196 00:10:55,120 --> 00:10:57,360 Speaker 1: you enjoyed this podcast, we would love you to leave 197 00:10:57,400 --> 00:11:00,240 Speaker 1: a review on Spotify or Apple. You can do that 198 00:11:00,320 --> 00:11:02,520 Speaker 1: by clicking the little five star button up the top. 199 00:11:02,679 --> 00:11:04,680 Speaker 1: Until then, you can catch up with us on Instagram 200 00:11:04,760 --> 00:11:06,559 Speaker 1: throughout the day at the dally Os It's where over 201 00:11:06,559 --> 00:11:09,240 Speaker 1: three hundred and thirty thousand Australians get their news. We'll 202 00:11:09,280 --> 00:11:09,720 Speaker 1: see there