Seanan McGuire (seanan_mcguire) wrote,
Seanan McGuire
seanan_mcguire

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DEADLINE open thread. Have a party.

To celebrate the release of Deadline [Amazon]|[Mysterious Galaxy], here. Have an open thread to discuss the book.

THERE WILL BE SPOILERS.

Seriously. If anyone comments here at all, THERE WILL BE SPOILERS. So please don't read and then yell at me because you encountered spoilers. You were warned.

You can also start a book discussion at my website forums, with less need to be concerned that I will see everything you say! In case you wanted, you know, discussion free of authorial influence. I will probably answer a great many comments. I may not answer all of them.

Have fun!
Tags: deadline, mira grant
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  • 842 comments
Dr. Abbey is definitely a big part of Blackout, along with many other members of the medical community.

"She would have gotten better" may be the nastiest thing I have ever, ever done.
It bothers me. A LOT. Because, at least according to Kelly, only 2 in 10,000 reservoir cases get better. It's a lot higher than, um, 0 in 10,000 but... the fact that they could tell is very, very, very disturbing. It implies an awful lot more indeed.
...You know what gets me about that frequency? It's exactly the frequency of my own chronic illness, Ehlers-Danlos syndrome. So I was possibly less freaked out than I should've been. *g*
I'd say, don't get too freaked out about that. There are often such coincidences in statistical frequency, usually either as artifacts of the information collection mechanism or of the analysis tool, but sometimes because of an underlying truth about the mechanism. An awful lot of recessive traits, for example, seem to occur in 12.5% (+/- 2.5%) of a given population.
Mm. Though the type of EDS that I have is actually autosomal dominant, a 50/50 split if you have an affected parent (or two).
Oh man, I didn't even think of that. How many tens of thousands of people did they need to study to get that accurate?
Probably not nearly as many as you'd think. I'm not familiar with how the "X in Y-thousand" probabilities are reached, but that seems like an extrapolatory figure, not interpolatory - in other words, their sample size was considerably less than 10,000 and they did some mathematical work to figure out what the real number should be.

Of course, It's not impossible that they got that figure by interpolation - plenty of people do Amplify, and the CDC gets blood test results for all of them.