Explaining Humans

Camilla Pang

'This book is truly exceptional. Applying science to the problems of human relationships, the perils of perfectionism and the pitfalls of social etiquette, Millie has written a joyous, funny and hugely insightful text for all of us - whether neurotypical or neurodiverse. This 'outsiders guide to the human race' is warm, witty and a joy to read.' Prof Gina Rippon, Cognitive neuroscientist/autism researcher and author of The Gendered Brain. Diagnosed with Autism Spectrum Disorder at the age of eight, Camilla Pang struggled to understand the world around her and the way people worked. Desperate for a solution, Camilla asked her mother if there was an instruction manual for humans that she could consult. But, without the blueprint to life she was hoping for, Camilla began to create her own. Now armed with a PhD in biochemistry, Camilla dismantles our obscure social customs and identifies what it really means to be human using her unique expertise and a language she knows best: science. Through a set of scientific principles, this book examines life's everyday interactions including: - Decisions and the route we take to make them; - Conflict and how we can avoid it; - Relationships and how we establish them; - Etiquette and how we conform to it.

ScienceScience · medium confidenceScience81 signalsLlm Classifier: Science -> ScienceKeyword Classifier: Race & Ethnicity -> Race & EthnicityAward Category: Royal Society Science Book Prize -> ScienceScience & DiscoveryFamily, Childhood & Adoption
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    None extracted with sufficient confidence.

  2. 02 Central places

    None extracted with sufficient confidence.

  3. 03 Suggested argument

    No argument inferred with sufficient confidence.

  4. 04 Reading orientation

    38 / 100 academic

    Serious trade

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 75%.