Hype is an ineffective communication strategy, especially when based on limited facts. There are many elements to effective communication – simply raising awareness about a problem is not enough if audiences don’t engage with the facts and participate in developing solutions.
The latest instalment in the Insect Armageddon saga is out. I wasn’t going to write about it. After my previous posts, I didn’t want to sound like a stuck record. But I’ve had a few media requests, some from journalists who found my original blogs. Most journalists I spoke to have been great, and really understand the importance of getting the facts straight. But a few seemed confused when they realised I wasn’t agreeing with the apocalyptic narrative – ‘other scientists are confirming this, so why aren’t you?’
This latest review paper has limitations, just like the German and Puerto Rican studies that received similar hype over the last few years. This doesn’t make any of them ‘bad’ studies, because every single research paper has limitations. No single study can answer everything neatly. Science takes time. Continue reading
Early last year I wrote a post on ecology and mathematics that was inspired by an online discussion happening at the time. Although comprehensive advanced maths skills are not essential to being an influential or inspiring ecologist, a good level of mathematical knowledge and understanding of statistical analysis is definitely necessary to create honest science and communicate the importance of your work to others.
But it’s not just ecologists who need mathematical common sense. Anyone who deals with, or is interested in science needs to understand the ambiguity of an average, or the difference between a regression and a correlation. In fact, anyone who cares about the society they live in should be aware how deeply statistics and data now influence the way we live – policies and decisions on anything from what product choices you find in retail stores to how much tax you pay are all based on data.
Why does this matter to us? Well, if those data are a bit dodgy, or haven’t been analysed and presented appropriately, problems arise. And when these kinds of data misrepresentations are used to fuel public opinion or inform government policy, there can be serious impacts on communities, individuals and ecosystems. Continue reading