How to (not) do science writing

This is a repost of an interesting and humorous post from Green Tea and Velociraptors – Jon Tennant gives some pointers on good science writing for both specialist and non-specialist audiences. Bare in mind the sarcastic tone!

via Spice up your science with these 10 simple steps.

  1. Avoid focus – What were we talking about again? Precision is key. Pick your topic, and stick to it. Tangents get you nowhere and only serve to remove weight from the main punch of your story. Also, many smaller papers are better than fewer large ones these days (more citations!)
  2. Avoid originality and personality – Probably one of the greatest flaws with mainstream science writing is the lack of any sort of personality. Just blunt raw observations and facts, goodness it can be boring reading at times, and that’s palaeontology! Actually, when was the last time anyone of you read a paper where you felt the excitement and enthusiasm of an author being conveyed?
  3. Write long contributions – Short papers can often pack quite a punch – look at Nature and Science for example. Although often they can be the opposite and any semblance of a decent scientific discovery is obfuscated by jargon and inane text reductions.
  4. Remove most implications from every speculation – Speculation is fine, within reason. Why not explore the possible paths your research implies? As long as it’s clear precisely what your evidence supports and to what degree, speculate away! That’s called creativity, and god knows science could do without stifling it.
  5. Leave out illustrations, particularly good ones – A picture tells 1000 words. Enough said.
  6. Omit necessary steps of reasoning – I’m actually quite bad at this, and it’s quite a natural thing to get wrong as a younger scientist. Often, we might be sort of drawn into allowing readers of our articles to fill in bits of the puzzle: we present the evidence, and explain our conclusions we draw from them, but can often omit the process by which we did this, an important step.
  7. Use many abbreviations and technical terms – OK, this is where I’m torn – the use of jargon. I believe the power of words lies in their precision. When communicating research to an audience of your peers, why not use the most precise language possible? And when communicating to non-specialist audiences, why change this where the automatic implication is ‘you are not part of our circle and could never understand this’ – why not include techy language, in an engaging and informing manner whereby your audience actually learn new words and the meanings that they imply. Language forms a core part of education, and shouldn’t be so easily reduced or dismissed. Of course, one has to be careful with this approach that you don’t convey arrogance by using a specific form of language, or seem dismissive of the level of understanding of an audience. Thin line to tread, but use of techy language in the right way can be quite powerful.
  8. Suppress humor and flowery language – Scientists are some of the most witty people out there, in a geeky sort of way. Why remove that from papers? Let thy weird species names, and terrible puns flow in papers. Woe betide the day when scientists are portrayed as normal human beings..
  9. Degrade species and biology to statistical elements – Don’t forget to always bring back the context of your statistical analyses in to their real world meaning. What does your correlation mean, your p-values and all that jazz? Bring it back to nature and observation.
  10. Quote numerous papers for self-evident statements – A fine line again – what is well-established knowledge, and what needs a citation to back up a statement? This again depends on your audience, and I imagine a great deal of experience. One style will certainly not suit all.

Note that my advice about avoiding common mistakes and learning how to write better about science is to get yo’ ass out there and do it! You will get better with time and develop your own style, but not if you don’t give it a shot and practice 🙂

Also included in the post is a rough guide for spotting bad science. It’s well worth a read.

How do you think I’ve done according to his list? Hopefully not too bad. But practice makes perfect and, as Jon says, just “get yo’ ass out there and do it!”


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