I'm going back through CDC abortion reporting data, looking at how they calculated abortion mortality, and what they concluded. We'll start with the oldest one I can find, 1971, which is in my files here at home. When an online version is available, I will provide a link (even if only to a summary or abstract).
1972: L = 24, I = 39
1973: L = 26, I = 19
1974: L = 27, I = 6
1975: L = 29, I = 4
1976: L = 10, I = 3
Why did deaths suddenly fall by about 33% in 1976? There's no exploration and no explanation. Did they fall? Or did something change in the data collection?
Here's where we see something interesting happen. For 1973 and 1974, the number of reported abortion deaths went down from what had previously been reported, with one less abortion-dead woman in 1973, two fewer in 1974, and one less in 1976. Surely these women didn't return from the dead! What happened? (At Life Dynamics, when Mona and I noticed this, we asked if, like Elvis, these women had somehow been spotted somewhere, and thus dubbed this phenomenon "Elvising" the woman, as in "For some reason the CDC Elvised a woman who'd died in 1973.") There is no explanation for why previously confirmed deaths are no longer being counted.
1972: L = 24, I = 39
1973: L = 25, I = 19
1974: L = 25, I = 6
1975: L = 29, I = 4
1976: L = 11, I = 2
1977: L = 15, I = 4
1978: Missing
1979 - 80: (Combined) "Of the subsequently confirmed abortion-related deaths for 1972 - 1980, 65% were reported through State health departments. We also obtained reports from medical and hospital associations, maternal mortality committees, NCHS, the Commission on Professional and Hospital Activities, case histories published in professional journals, and private sources." But they also indicate that beginning in 1979, ectopic pregnancy deaths would no longer be counted among abortion deaths unless the abortion attempt directly caused the woman's death. This is mightily convenient for abortion cheerleaders, since women often fail to seek health care for ectopic pregnancies immediately after abortion procedures because they assume that they can't possibly be pregnant, and abortion facilities have often been caught advising women to avoid seeking care they might have otherwise sought. So though the abortion led to the death by preventing timely intervention, the CDC doesn't count these deaths as abortion-related.
The tally:
1972 - 1976: No change
1977: L = 17, I = 4
1978: L = 7, I = 7
1979: L = 18, I = 0
1980: L = 8, I = 1
It was around the time that this report was published that Willard Cates was demoted and transferred to the Sexually Transmitted Disease unit of the CDC in the wake of a shake-up by the Reagan White House. Though Cates had been aggressive in seeking out and analyzing abortion deaths, he was also a vociferous and unabashed proponent of abortion and published a lot of articles, written at taxpayer expense, calling for public funding of abortion, "educating" all pregnant women about "the availability of safe, legal abortion", excusing bad behavior by abortion doctors and instead blaming safety regulations for patient deaths, etc. His partner in many of these publications, David Grimes, left the CDC about two years later.
1972: L = 24, I = 39
1973: L = 25, I = 19
1974: L = 26, I = 6 (Legal up 1 from before)
1975: L = 29, I = 4
1976: L = 11, I = 2
1977: L = 17, I = 4
1978: L = 9, I = 7
1979: L = 18, I = 0
1980: L = 9, I = 1
1981: L = 7, I = 1
1982: L = 11, I = 1
1983: L = 10, I = 1
1984: L = 11, I = 0
1985: L = 8, I = 1
The tally:
1972: L = 24, I = 39
1973: L = 25, I = 19
1974: L = 26, I = 6
1975: L = 29, I = 4
1976: L = 11, I = 2
1977: L = 17, I = 4
1978: L = 9, I = 7
1979: L = 22, I = 0 (Legal up from 18 at last count)
1980: L = 9, I = 1
1981: L = 8, I = 1 (Legal up from 7, and they still missed at least 1)
1982: L = 11, I = 1
1983: L = 11, I = 1 (Legal up from 10)
1984: L = 12, I = 0 (Legal up from 11)
1985: L = 11, I = 1 (Legal up from 8)
1986: L = 11, I = 0 (I know they missed some.)
1987: L = 7, I = 2 (They missed some.)
1988: L = 16, I = 0
1989: L = 12, I = 1
1990: L = 5, I = 0
1991: Not reported
1992: Not reported
I'm very curious as to why, in this report, they suddenly noted ten deaths that had previously eluded them. This after three years in which they expressed little interest in abortion mortality. The year they worked on this report, however, is also the year research fellow Clarise Green joined the crew.
1972 - 1990: no change
1991: L = 11, I = 1 (They missed one that I've verified.)
1992: Not reported
1993: Not reported
1994: Not reported
The tally:
1972 - 1991: No change
1992: L = 10, I = 0
1993 - 1996: Not reported
The tally:
1972 - 1992: No change
1993: L = 6, I = 1
1994: L = 10, I = 2
1995: L = 4, I = 0
1996: L = 9, I = 0
1997: L = 7, I = 0
1998: Not reported
1999: L = 4, I = 0
2000: L = 11, I = 0
While I'm at it, I've been doing some data analysis (or trying; I'm not a statistician so I'm learning on the fly here), and found this great article on basic data analysis. I really liked this bit:
Finally, be aware of numbers taken out of context. Again, data that are "cherry picked" to look interesting might mean something else entirely once it is placed in a different context.
Consider the following example from Eric Meyer, a professional reporter now working at the University of Illinois:My personal favorite was a habit we use to have years ago, when I was working in Milwaukee. Whenever it snowed heavily, we'd call the sheriff's office, which was responsible for patrolling the freeways, and ask how many fender-benders had been reported that day. Inevitably, we'd have a lede that said something like, "A fierce winter storm dumped 8 inches of snow on Milwaukee, snarled rush-hour traffic and caused 28 fender-benders on county freeways" -- until one day I dared to ask the sheriff's department how many fender-benders were reported on clear, sunny days. The answer -- 48 -- made me wonder whether in the future we'd run stories saying, "A fierce winter snowstorm prevented 20 fender-benders on county freeways today." There may or may not have been more accidents per mile traveled in the snow, but clearly there were fewer accidents when it snowed than when it did not.
I've wondered this myself -- whether there are actually more or fewer accidents during bad weather (due to there being fewer people on the roads), and whether the accident rate per number of miles driven actually drops on holiday weekends because everybody's being hyper-vigilant.
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