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WITH LOVE FROM EBAUMS WITH LOVE FROM EBAUMS WITH LOVE FROM EBAUMS WITH LOVE FROM EBAUMS WITH LOVE FROM EBAUMS WITH LOVE FROM EBAUMS
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Childbirth reduces a woman's risk of [[breast cancer]], and when a pregnant woman chooses [[abortion]] instead she thus increases her risk.  This increased risk has been proven by the vast majority of studies, many predating the politicization of abortion, and by animal studies.
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Like the tobacco industry, which denied for decades that cigarettes cause [[lung cancer]], the billion-dollar [[abortion]] industry uses several statistical tricks to deny the undeniable harm of [[abortion]].  These tricks include:
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* include in the study many women who had an an [[abortion]] but are too young to develop breast cancer, which has an average age of diagnosis of 61, to deny harm from abortion<ref>See, e.g., the Melbye study [http://www.jewsforlife.org/ABCs.cfm] and the [[Harvard Abortion Study]]</ref>
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* exclude older, less politicized studies by saying that the researchers cannot be found to discuss it<ref>See, e.g., the Beral (Lancet) analysis.</ref>
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* downplay, and omit from the conclusion and abstract, significant medical harms found in the study among post-abortive women<ref>See, e.g., the [[Harvard abortion study]], the Melbye study, and the Beral (Lancet) analysis.</ref>
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* be silent when newspapers predictably exaggerate and misreport the findings of the paper<ref>See, e.g., the Beral (Lancet) analysis.</ref>
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* in imitation of [[Hitler]]'s attempt to discredit [[Einstein]],<ref>http://www.jpands.org/vol13no1/lanfranchi.pdf</ref> invoke the power of government to deny a scientific finding<ref>[[National Cancer Institute on Abortion]]</ref>
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* use a demographic that is not typical of post-abortion women, and conceal that from the reported results<ref>See, e.g., [[Harvard abortion study]]</ref>
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* falsely classify breast cancer victims as non-abortive by using an abortion registry, but including 10,000 women too old to be in the registry<ref>the Melbye study [http://www.jewsforlife.org/ABCs.cfm]</ref>
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* use a questionnaire that mixes abortions, which cause cancer, with miscarriages, which typically do not, but referring to both as "abortion"<ref>See, e.g., [[Harvard abortion study]]</ref>
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* in an analysis of studies, include studies that never met the quality standards for peer review.<ref>See, e.g., the Beral (Lancet) analysis</ref>
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== References ==
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<references/>
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[[category:abortion]]
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