Books to Read While the Algae Grow in Your Fur, August 2013
Cain, Kill You Twice and Let Me Go
- Mind candy. The series is steadily ratcheting up its sheer gothic
weirdness, and I'm not sure I can recommend these for new-comers, but they were
- Erin Morgenstern, The Night Circus
- Mind candy: lovely literary fantasy about an enchanted traveling carnival,
and the wizard's-duel/love-affair of two apprentice magicians. (Thanks to RCS
for a copy.)
- Daniel Schwartz, Travelling through the Eye of History
- Beautiful contemporary photographs of Central Asia; the text strives for profoundity but only achieves pretentiousness.
- Jessica Hagy, How to Be Interesting (In 10 Simple Steps)
- Inspirational life advice. I think it's good advice for people who are in
a position to follow it; too many people aren't.
- Linda Nagata, The Red: First Light
- Mind candy: cynical, intelligent and gripping near-future military hard SF.
Raets's review at tor.com pre-empts most of what I wanted to say.
- Tracy Thompson, The New Mind of the South
- Journalistic impressions from a native daughter; despite the
really an attempt to update Cash.
It's well-written (for journalism) and seems very plausible, but I lack the
knowledge to say if it's right. (She doesn't seem to do enough
comparison to the rest of the US, though, like the Midwest or the mountain
West, when discussing the hollowing-out of rural areas.)
- Nilanjana Roy, The Wildings
- Mind candy. Fantasy novel about free-living cats in Delhi; adorable.
D. Hoover, Causality in Macroeconomics
- Valuable, but I did want to argue with it a lot. In particular, I don't
understand his objection to the causal Markov condition, and so to what he
calls the approach of "Glymour et al."
Saying it won't hold for some of the official economic statistics because
they're measured too slowly confuses, by his own principles, the
causal structure of the macroeconomy with the econometric issue
of discovering that structure. Hoover's own positive principle for
determining the direction of causation is that if \( X \) causes \( Y \),
interventions which change the distribution of \( X \) shouldn't alter
the conditional distribution of \( Y \) given \( X \). If the
causality goes the other way, however, interventions which alter the
distribution of \( X \) will also change \( Y|X \). This is sound, but also
easily explicated within the graphical-model tradition. (It's how we calculate
effects of interventions from "surgery" on graphs.)
- J. Robert Lennon, Castle
- Mind candy. Extraordinarily creepy thriller, in which the headgames played
on the narrator echo those played on the reader. (Thanks
to Larry for a copy.)
- Avram Davidson, The Wailing of the Gaulish Dead
- A lost "adventure in unhistory", thankfully restored to the shores of light.
- Mind candy. Enjoyably angsty romantic science fiction. (Many fewer
ray-guns than the cover suggests.)
- Caitlin R. Kiernan, Alabaster: Wolves
- Comic-book mind candy, featuring a minor character
Books to Read While the Algae Grow in Your Fur;
Scientifiction and Fantastica;
Pleasures of Detection, Portraits of Crime;
Writing for Antiquity;
Constant Conjunction Necessary Connection;
The Dismal Science;
Afghanistan and Central Asia;
The Beloved Republic
Posted at August 31, 2013 23:59 | permanent link