Showing posts with label Latino. Show all posts
Showing posts with label Latino. Show all posts

Wednesday, July 17, 2019

The 'Squad', Trump's Tweet, and Healthcare Campaign Contributions


My last three posts have looked at healthcare campaign donations to freshman democratic members of congress, their ethnic/gender background, and support for medicare for all.  They showed that nonwhite members who support Medicare for All received far less in donations than non white freshman who did not and white freshmen who either did or did not support it. Four of the freshmen, Alexandria Ocasio-Cortez, Ilan Omar, Ayanna Pressley, and Rashida Tlaib, have received press for butting heads with Nancy Pelosi and being targeted by Donald Trump in a tweet where he said that they should go back to the "crime infested" countries from which they came.  All four support Medicare for All.








These four congresswomen were included in the data for the analysis.  You can see all of the donations that they received as compiled by Danielle Keeton Olsen at Tarbell here and in the images above.  The first three of the 'squad' were classified as nonwhite according to the US Government's affirmative definition of race/ethnicity in the analysis.  I determined the ethnicity of each freshman democrat based on their Wikipedia page.  The data is listed here.

Congresswoman Tlaib (D-MI) was classified as white by the affirmative action definition.  Whites or Caucasians are defined as "people having origins in any of the original peoples of Europe, the Middle East, or North Africa."  She was also the largest recipient of healthcare campaign dollars among the 'squad' at $172,665.  This is more than the other three squad members combined at $158,903.  This pattern is present in health professionals, hospitals, and pharma but not in HMOs where she received less ($5,019) than the other three combined ($12,841).  

Congreswoman Tlaib may see herself as nonwhite while most donors see her as white.  Her ethnic background in Palestinian who have been oppressed for decades by Israel in the middle east.  I personally see Italians as Latino even though no one else does.

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Tuesday, August 19, 2014

Testing Fairness, Outliers, and Racism

Oftentimes the importance of an issue isn't realized until it hits home.  The film Stand and Deliver tells the story of math teacher Jaime Escalante who's students (20 in total) all passed the advanced placement (AP) Calculus test in the 1980s.  The education testing service (ETS) (which administers the AP test as well as the SAT and a host of other standardized tests) thought the results were an outlier and launched an investigation into whether or not the students cheated on the exam.  In the clip above, Escalante (played by Edward James Olmos) confronts the investigators (one of them is played by Andy Garcia) from ETS and questions the motives behind the investigation.  He argues that the results would not be questioned if the students were from Beverly Hills.  The investigation later proved that the students passed the test legitimately as the students had to retake the test and all passed with a score of three or more.  The ETS investigators were just doing their job and anomalies have to be investigated but the way in which they are investigated can show bias.


Bias in testing is a universal problem and how the results are interpreted is certainly an inflammatory issue with a lot of time and energy spent to correct and quantify it.  As the prevalence of high stakes testing has increased, authentic cases of cheating have occurred as school funding is now tied to the results of those tests under the No Child Left Behind Act.  Recent cases of cheating on standardized tests have involved the principals and teachers supplying the answers to the students in hopes of improving school funding.  The photo below is of an art installation of an education student's opinion of high stakes testing.



The issues have changed little since Escalante's passed the AP test.  Policy makers often use the results of tests to demonstrate With the new ways tests are now administered the potential for cheating and questioning of results should increase exponentially. 


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