This morning I carefully diced his cheddar cheese into bite-sized chunks, scooped beef-pâté from a can and added a little salmon from a packet on to his plate.
I walked into the hall, bent my knees and leaned forward to place his plate in the floor. As I did so, I experienced a sudden arc of pain horizontally across my lower back. As I sat immobilised on the stairs, my first thought was: "No gym for me today."
I'm moving around cautiously at the moment and not sitting too much - this is not the first time I've had a lower back strain - and I expect several days of recovery time. Next time I'm at the gym, I hereby remind myself to ask about specific exercises to strengthen the lower back.
The cat enjoyed his breakfast.
Later this morning I went for a therapeutic walk to town - Clare wanted some straw for the strawberries.
|Clare distributes the straw|
She carried the bale back.
I've just finished the interesting (for a textbook) "Behavioural Genetics" by Robert Plomin et al.
I salute the bravery and sheer persistence of the pioneers (including the authors) who patiently worked over their professional lives to work out the heritability of almost everything. The social sciences establishment had (and has) little but contempt for their efforts.
Since almost all behavioural traits are heritable in the range 0.3 - 0.7, (even working out at the gym) such agenda-based prejudice against any role at all for genetics makes you want to weep.
The robust results reported were teased-out mostly from twin and adoption studies. The sections with least detail are those which try to identify specific alleles underpinning the measured heritability. At time of publishing (2013) the GWAS revolution had barely got started and here in 2016 it's still in the early phases.
If a new edition is published c. 2020, I imagine genotype chapter and verse will be available for most behavioural traits.
Blank-slate elite culture (media, TV, politicians) will continue to ignore these results, while mendaciously claiming that environment is everything.
I was in two minds about "The Master Algorithm" (Pedro Domingos) as the reviews were mixed. And then Bill Gates gave the book his imprimatur and I read the reviews more closely. It's not that the book is overly non-technical (which was my fear) - more that it's uneven and perhaps a little badly written.
I can cope with that. As the only popular science book about AI deep learning out there, I'm keen to start reading it. More later.