The full title is ‘Invisible Women: Exposing Data Bias in a World Designed for Men’

Here is the description:

Imagine a world where your phone is too big for your hand, where your doctor prescribes a drug that is wrong for your body, where in a car accident you are 47% more likely to be seriously injured, where every week the countless hours of work you do are not recognised or valued.  If any of this sounds familiar, chances are that you’re a woman.

Invisible Women shows us how, in a world largely built for and by men, we are systematically ignoring half the population.  It exposes the gender data gap – a gap in our knowledge that is at the root of perpetual, systemic discrimination against women, and that has created a pervasive but invisible bias with a profound effect on women’s lives.

Award-winning campaigner and writer Caroline Criado Perez brings together for the first time an impressive range of case studies, stories and new research from across the world that illustrate the hidden ways in which women are excluded from the very building blocks of the world we live in, and the impact this has on their health and wellbeing.   From government policy and medical research, to technology, workplaces, urban planning and the media – Invisible Women reveals the biased data that excludes women.  In making the case for change, this powerful and provocative book will make you see the world anew.

  • tamant1@alien.topB
    link
    fedilink
    English
    arrow-up
    1
    ·
    1 year ago

    Yes! I recommend it to everyone - it covers so much and has so many statistics to back everything up. It is very infuriating to read as a woman seeing just how many things in life are stacked up against you that you would never even realise (e.g., crash dummies are modelled after the average male so women have higher incidences of injury in car crushes)

    • reichplatz@alien.topB
      link
      fedilink
      English
      arrow-up
      1
      ·
      1 year ago

      has so many statistics to back everything up

      dont forget that statistics is the easiest way to lie, especially when the seeming conclusion is outrageous enough

      it only works when someone questions it, and then the author or their colleagues answer - only then one can really tell who’s right and who’s wrong