1. Chapter Eight: Dyslexia (A properly critical look at this syndrome and its consequences.)
   1. The muddle of definition A review of comments
   2. What is dyslexia? A critical review of definitions and conclusions
   3. Why all the fuss? Why it really matters
   4. The two kinds of dyslexia – acquired and developmental
   5. Inferences properly or improperly taken from a stance of scepticism
   6. Dyslexia as a maladaptive attribution causing learned helplessness
   7. Who is “dyslexic‟? Sample selection and the improper “diagnosis‟
   8. Intelligence/achievement discrepancy criterion a critique of diagnosis and much “dyslexia‟ science
   9. Performance related signs and RTI (Response To Instruction)
   10. “Diagnosis‟ by the “bell curve‟ a critique
   11. The “gene for dyslexia‟
   12. What are genes, what do they do and how reliably can we say they do it?
   13. A critical review of the literature
   14. Phonological awareness and dyslexia – a critical review – is it really the core deficit?
   15. The magnocellular deficit theory and dyslexia
   16. Neurology and dyslexia. Anomolous cerebral dominance
   17. Corpus callosum differences and more
   18. The planum temporale
   19. Brain scans and dyslexia – a critical look
   20. The cerebellum and dyslexia
   21. Publication bias and the received wisdom
   22. Scotopic sensitivity (or the Meares-Irlen syndrome) (which isn't dyslexia)
   23. The “swirl & see-saw effects‟ (which have inexplicably gone away)
   24. The word-processor by-pass (which you can see for yourself)
   25. Cognitive or learning styles a critical review
   26. Is there any alternative to “dyslexia‟? (the answer is, yes)
   27. The Matthew effect (And a portrayal of a common educational history)
   28. Is dyslexia benign? (Dyslexia as a maladaptive attribution, inducing learned helplessness)
   29. What should we do? (we all live in the real world, after all)
   30. A conclusion, of sorts

Notes to chapters

1. Chapter 1 notes
   1. Ecological psychology
   2. Split-brain research and our two brains
2. Chapter 2 notes Neural nets and learning
   1. Pattern Associators: Neural nets
   2. The Hebb rule
   3. Imperfect inputs but perfect conclusions