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Many public conversations we have about science-related issues involve communicating risks: describing them, comparing them and trying to inspire action to avoid or mitigate them. Just think about the ongoing stream of news and commentary on health, alternative energy, food security and climate change. Good risk communication points out where we are doing hazardous things. It helps us better navigate crises. It also allows us to pre-empt and avoid danger and destruction. But poor risk communication does the opposite. It creates confusion, helplessness and, worst of all, pushes us to actively work against each other even when it's against our best interests to do so. So what's happening when risk communications go wrong?

Interesting perspective on communicating evidence. With controversy about science communication, facts and alternative facts hitting the headlines recently, I've been having a number of conversations with colleagues from all over the world about why science seems to be losing in the current war on reason. This isn't in the usual fringe battle fronts like creationism or flat-Earthers. It's on topics deep behind our lines, in areas like whether climate change exists or not, how many people were present at a given time at a given place and whether one man with a questionable grasp on reality should be the only source people get their news from.

just knowing facts doesn't necessarily guarantee that one's opinions and behaviors will be consistent with them. For example, many people "know" that recycling is beneficial but still throw plastic bottles in the trash. Or they read an online article by a scientist about the necessity of vaccines, but leave comments expressing outrage that doctors are trying to further a pro-vaccine agenda. Convincing people that scientific evidence has merit and should guide behavior may be the greatest science communication challenge, particularly in our "post-truth" era. Luckily, we know a lot about human psychology - how people perceive, reason and learn about the world - and many lessons from psychology can be applied to science communication endeavors.

Dismissing people's worries as baseless, whether that's about the safety of mobile phones or fluoridated drinking water, is one of the least effective ways of communicating public health risks. Yet it is common for people to "reassure" like this, both at home and in professional roles as experts, officials or corporate managers. 1. Hose down your own outrage first 2. Respect people's fears 3. Build trust 4. Don't panic about panic 5. Your actions communicate more than your words 6. Play the long game

During the 2016 EU referendum campaign, both sides used statistics pretty freely to back their arguments. Understandably, UK broadcasters felt compelled to balance competing perspectives, giving audiences the opportunity to hear the relative merits of leaving or remaining in the EU. In doing so, however, the truth of these statistical claims was not always properly tested. This might help explain some of the public's misconceptions about EU membership. So, for example, although independent sources repeatedly challenged the Leave campaign's claim that the UK government spent £350m per week on EU membership, an IPSOS MORI survey found that almost half of respondents believed this was true just days before the election. Of the 6,916 news items examined in our research, more than 20% featured a statistic. Most of these statistical references were fairly vague, with little or limited context or explanation. Overall, only a third provided some context or made use of comparative data. Statistics featured mostly in stories about business, the economy, politics and health. So, for example, three-quarters of all economics items featured at least one statistic, compared to almost half of news about business. But there were some areas - where statistics might play a useful role in communicating trends or levels of risk - that statistics were rarely used.

What's the most efficient way to communicate a large amount to a reader? We ran an experiment to find out. The results show that we must give up with senseless "football fields" comparisons and focus on finding out if a number matters or not.

Podcast from UTS Think:Digital Futures (that I briefly appear on). Sometimes we get caught up thinking data and science are the be all and end all - it can give us a lot of answers sure, but the devil is in the detail. How are we interpreting data wrong? And why do we have trouble communicating it? Presenters/Producers: Cheyne Anderson & Ellen Leabeater Speakers: Jon Wardle - Faculty of Health, University of Technology Sydney Simon Knight - Lecturer, Connected Intelligence Centre, UTS Mark Moritz - Associate Professor, Department of Anthropology, Ohio State University Think: Digital Futures is supported by 2SER and the University of Technology Sydney. http://2ser.com/shows/think-digital-futures/

News stories regarding the latest in the world of medicine are often popular. After all, most people are interested in their own health and that of their family and friends. But sometimes reports can be confusing. For example, one minute coffee seems good for you, and the next it's bad for your health. And remember when 150 health experts from around the world called for the 2016 Rio Olympic Games to be cancelled or postponed because of the Zika virus? This call was swiftly opposed by both the World Health Organisation (WHO) and the Centers for Disease Control and Prevention (CDC). Sometimes these contradictions reflect differences of opinion in the scientific community, and different approaches to research. These are a normal part of the scientific process. But in other instances, health news misinforms because of the way some journalists interpret and report research findings.

This is an example of imprecise communication - it's right to talk about percentage increase (rather than percentage point change) but it isn't clear what the baseline was which makes it a bit confusing (475,000/120*100 will give you the median price 3 months ago of 395833.33). Note the use of the median rather than the mean - remember why that's a sensible idea in this context! Home prices have risen by more than 20 per cent to a $475,000 median. The change in median price over the past year was up by 26.7 per cent. And compared to three years ago Cremorne prices have grown by almost 40 per cent. Look back five years and prices have increased by a mighty 70 per cent, the report revealed.

Last Week Tonight clip: John Oliver hosts a mathematically representative climate change debate, with the help of special guest Bill Nye the Science Guy, of course. Using performence & comedy to communicate a scientific point

This is a really great example of using a visualisation to communicate a quantitative fact check. This claim is a good case for doing a basic plausibility check, and thinking about what numeric information you'd need to know to understand the claim (e.g., how many people are deported now (what's the baseline), and what are the estimates for the maximum number of unauthorized immigrants in the country?).

To communicate uncertainty in climate change models and predictions, the IPCC uses a range of expressions to describe the probability that a particular event will occur. For example, in the phrase: "It is very likely that heat extremes will become more frequent in the future," the phrase 'very likely' is used to describe a likelihood of more than 90 per cent, says Smithson.

almost all the stories I looked at emphasized that "1 in 10 pregnant women" with Zika gave birth to babies with birth defects.But how many actual women does the "1 in 10" figure represent? How many actual babies with birth defects?You have to wade far down into all of these stories to find the numbers, whereas NPR puts them right in its headline:51 Babies Born With Zika-Related Birth Defects In The U.S. Last YearThe fact that 1 in 10 women with Zika have babies with birth defects is accurate but not nearly as informative as it could be.And when communicating to a general audience, it's misleading to the point of scaremongering to make the "1 in 10" headline the take-home message from the study.

Aleks Krotoski explores why science is being drowned out by Snake Oil online, and how the balance can be shifted to keep desperate people from being exploited. But despite there being more scientific information online than ever, in the modern day the power of the internet has completely flipped. Verified science and medicine are crowded out by a plethora of misinformation and snake oil salesmen. From the relatively harmless quackery such as infrared light treatments or 'wellness' focused diets, to conspiracy theories around vaccinations that are influencing political policy, and have resulted in outbreaks of dangerous, preventable diseases across the world - what is happening online is having a tangible impact across the globe. Aleks Krotoski explores how the infrastructure of the internet allows medical misinformation to thrive, finds out how people can be drawn into communities centred around medical misinformation and conspiracy theory, and how both scientists and every day internet users can redress the balance online.

Once your business has started collecting and combining all kinds of data, the next elusive step is to extract value from it. Your data may hold tremendous amounts of potential value, but not an ounce of value can be created unless insights are uncovered and translated into actions or business outcomes. During a 2009 interview, Google's Chief Economist Dr. Hal R.Varian stated, "The ability to take data-to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it-that's going to be a hugely important skill in the next decades." Fast forward to 2016 and many businesses would agree with Varian's astute assessment.

The census has been used for hundreds of years to determine how many U.S. House members each state will have, and it currently helps determine how hundreds of billions of dollars in federal spending is divvied up. "The risk that really troubles me is that there's a big undercount and then there's a big lack of representation," said John Thompson, who was director of the U.S. Census Bureau until he resigned last year (the bureau is still without a director).

Every year in Australia, the National Assessment Program - Literacy and Numeracy (NAPLAN) results show Indigenous school students are well behind their non-Indigenous peers. Reducing this disparity is a vital part of Australia's national Closing the Gap policy. ... Using an updated version of our equivalent year levels metric, introduced in Grattan Institute's 2016 report Widening Gaps, we estimate year nine Indigenous students in very remote areas are: five years behind in numeracy six years behind in reading, and seven to eight years behind in writing. In other words, the average year nine Indigenous student in a very remote area scores about the same in NAPLAN reading as the average year three non-Indigenous city student, and significantly lower in writing. But it would be a big mistake to see this only as a problem for isolated outback communities. Most Indigenous students live in cities or regional areas. So, even though learning outcomes are worse in remote and very remote areas, city and regional students account for more than two-thirds of the lost years of learning.

Advancement toward gender equality at work has slowed since the 1990s for three major reasons: people's attitudes stopped becoming more gender egalitarian, occupations stopped gender integrating, and the gender wage gap began decreasing at slower rates. Sociologist Paula England has called this phenomenon an "uneven and stalled" gender revolution, and there have been dozens of studies showing how the progress in gender equality experienced during and immediately after the feminist movement of the 1970s has not been sustained through the 1990s and 2000s. Does this stalled revolution play out in management positions, too? And if so, how? To explore this, I used data on full-time managers obtained from the U.S. Census and American Community Survey for the years 1980 and 2010 to examine three major factors that contribute to gender equality in the labor force: women's representation in management, the occupational gender segregation among managers, and the gender wage gaps that vary across managerial occupations.

Numbers are often used to persuade rather than inform, statistical literacy needs to be improved, and so surely we need more statistics courses in schools and universities? Well, yes, but this should not mean more of the same. After years of researching and teaching statistical methods, I am not alone in concluding that the way in which we teach statistics can be counterproductive, with an overemphasis on mathematical foundations through probability theory, long lists of tests and formulae to apply, and toy problems involving, say, calculating the standard deviation of the weights of cod. The American Statistical Association's Guidelines for Assessment and Instruction in Statistics Education (2016) strongly recommended changing the pedagogy of statistics into one based on problemsolving, real-world examples, and with an emphasis on communication.

From climate change to armed conflict, our world is struggling with urgent global issues. But disagreements about how to solve them can spiral out of control. The only way to resolve intractable conflicts is to overcome desire to talk to allies more often than opponents. Here, a social psychologist, two ecologists and a cartoonist explain the toolbox of communication we need to resolve difficult issues.