Dieser Weg wird kein leichter sein; dieser Weg wird steinig und schwer.
Nicht mit vielen wirst du dir einig sein, doch dieses Leben bietet so viel mehr. --Xavier Naidoo
Most states still deny marriage equality to LGBT.
FWIW I am not an affirmative action supporter.
You're right my bad.
LOLTORFLMAO. You and these people need to come out of the 6th century and get with the program. This is a losing battle for you and you are starting to look like the flat earth society.
Gays and gay marriage are in, red neck homophobia is out. Calling AFTAH the truth is like callling the sun a peperoni pizza.
I think that they LGBT community should show the world how caring they are by holding a blood drive.
"Why doesn't FDA allow men who have had sex with men to donate blood?
A history of male-to-male sex is associated with an increased risk for the presence of and transmission of certain infectious diseases, including HIV, the virus that causes AIDS. FDA's policy is intended to protect all people who receive blood transfusions from an increased risk of exposure to potentially infected blood and blood products."
These tests look for antibodies to HIV, not the virus itself. It takes about one month, sometimes up to three months, after infection for your body to produce enough antibodies to show up on a test. These are the most common type of test. All rapid tests are antibody tests. Here's the window period for these tests:
Most people develop detectable antibodies within 2-8 weeks
25 days is the average time it takes to develop detectable antibodies
97% of people develop detectable antibodies within 3 months
In very rare cases, it can take up to 6 months to develop antibodies
http://www.realclearmarkets.com/arti...yth_99969.htmlFirst of all, the wage gap is based on inappropriate use of data and statistical analysis. In the U.S. the 77% number is calculated by looking at the median yearly earnings of women to men. The median is defined as the middle value of all the wages in a given sample. Using the median is useful if we are comparing winter temperatures between New York and Tampa, where one dimensional data has validity, but applying it to humans that have free will and biological differences proves nothing except that demagoguery works.
Is the median wage lower for women? Absolutely it is, but the statistic is not an apples to apples, job for job comparison and thus has nothing to do with "paying women less than a man for doing the same job." Using the median without taking into consideration specifics of individuals in the workplace is intentionally misleading or ignorant.
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