Contact Ruben

Green Globes 2014 SCREEN RES

For media enquiries or to book Ruben to speak at a conference or event, please contact Claxton Speakers International.

To book Ruben for a school visit in Australia, please contact Young Australia Workshop.

Claxton Speakers International:

Telephone: +61 2 9909 0033

Fax: +61 2 9909 0633


Click here for Ruben’s bio and more info

Young Australia Workshop

1800 227 095 (Regional)

02 8021 5312 (Sydney Metro)

Click here for more info on The Surfing Scientist Show

Click here for more on Ruben’s Climate Change presentation

9 thoughts on “Contact Ruben

  1. Pingback: ASET NSW “LABBIES” Conference 2013 | ruben meerman

  2. Our daughter is 8 and since you spoke at her school last year she is crazy about science. We have been unable to purchase any of your books for her for Christmas. Have you any ideas where they can be purchased??

    • Dear Ann, my sincere apologies for the delayed reply! My children’s science books have been out of print for a while now but there are a few online stores that still have some in stock. The good news is, most of the experiments in those books are all online at the URL below, and you can also watch all of The Experimentals episodes online, packed with ideas for girls and boys. Give my regards to your science-obsessed daughter… it’s music to my ears to hear she’s got the bug!

  3. You are pushing a myth of your own to my detriment. You say everyone can lose weight. I have lypoedema It means you can’t lose weight. Dieting doesn’t work and nor does lap band surgery
    Other features include pulmonary embolism after general anaesthetic. This happened to me. Look it up on the internet. When you say everyone can lose weight it makes people think I am not trying, people can be abusive. You need to be more informed. Try looking up another seperate condition call lymphodaema


    • Dear Sophi, I have sent an email to the gmail address you provided but I’m not sure if that got through okay. If not, I would love to send it to the correct address. Regards, Ruben

  4. About half way through ‘Big Fat Myths’ and got to the bit about BMI…
    Some years ago I plotted calculated BMI information for various percentile US armed forces data (from one of the Mil-handbooks). You would assume that armed forces personnel would be ‘reasonably fit’
    I was surprised to see that while there was a band on the graph for normal BMI, the scatter of data points I had did not coincide with the BMI band. It crossed from memory around the 72kg mark but if you you were shorter than the appropriate height you needed to be heavier and if taller you needed to be lighter to fit BMI requirements. For a 1.83m male (me), the data suggested around 90kg was average – but that is 6kg more than BMI would suggest.
    I discussed this finding with a doctor at one stage and his justification was ‘it’s the best we have’

    • Dear Michael,
      Thank you for the note and for contemplating this so deeply. The problem was that you were looking at a very specific and very physically active sub-population, as opposed to the “general population”. BMI is not meant to be used like that. It’s simply a way to gauge the obesity rates of a very large population. Statistical outliers don’t matter so much when the group is very large. If you only sample competitors at a bodybuilding competition, or a clinic that treats people suffering from anorexia nervosa, then BMI becomes a useless metric. Hope that makes sense?

      • The data was not for a bunch of group of body builders – it was large, broad and included men and women, army, navy and air force. It also dates back many years with some data from before the current ‘obesity epidemic’.
        I think you may have the wrong of the pineapple here. I’ve taken a set of data and about the only major assumption I’ve made is that the group is not obese simply because the armed forces does not generally allow that. It does not fit the BMI model. Rather than saying the data does not fit the model so the data is incorrect, surely the correct scientific approach is to say that the model is incorrect because it does not fit the data. Perhaps get DOD-HDBK-743A and process the data yourself.
        It is worth remembering that the BMI model is only a construct to help categorise populations of populations. To suggest that it is a hard rule is misleading. While I support the idea that body builders for example do not fit the model for obvious reasons, I would suggest that it is equally harmful to promote a model as fitting everyone else when (by my analysis) it has flaws in it.
        Perhaps there is a paper in this too…

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