Skip to main content

Tuskegee Syphilis Experiment

Hello internet, and welcome to The Science They Don't Want You to Know.  As I have mentioned in the first post of this series, I am doing research regarding the statistical viability of currently unconfirmed conspiracies (no leaked documents) by way of currently known conspiracies (documents have been leaked).  The primary purpose of this initial research is to gather particular information, specifically how many people were involved in the actual conspiracies and the length of time which these conspiracies took place.  If you have not read the first post, you should read it here.

The Nazi's have done some pretty horrible biological and medical experiments during the second world war.  From infecting them with diseases to cold and calculating torture to attaching an octopus arm to a recently sawed off body part of a Jewish person, these experiments were cruel and obscene, to put it mildly.  Leave it to the Nazi's to come up with some truly terrifying experiments.  There's just one problem with that thought, though: America is not exactly innocent when it comes to its variety of immoral medical experiments, and there is American documentation to prove it.

As an aside, this is part of a statistics-gathering series, which the point is to gather statistical data on revealed conspiracies in order to perform statistical analysis on supposed conspiracies.  In order to get the most out of this entry, you should start here.  You don't have to, but the last paragraph or two will make more sense if you do.

Syphilis was rampaging the land, and doctors were desperate to try to understand it in order to develop a cure.  So, in the aftermath of the Stock Market Crash of 1929, the US was desperate to try to find a cure for Syphilis which had a higher than a 30% success rate and whose survivors did not have a myriad of side affects, as opposed to the mercury and bismuth based treatments which took years to take to completion, and had too little of a success rate to be viable.  So, in the weeks following the stock market crash, the US Public Health Service (USPHS) began mapping out a plan for finding out how to cure syphilis.



In 1932, the experiment began.  It was supposed to be a 60 day trial of specifically untreated black men in Tuskegee, Alabama.  These specific men were also drastically undereducated and underprivileged, and one can speculate that this is why this town was used instead of, say, black men in Chicago where they are relatively better off educationally and fiscally.  The organization not only told the subjects that they would eventually treat white men as well as women, that never happened.  Not only was there this severe racism taking place with the (which is horrible in and of itself), there was also the fact that the consent these men gave was not informed.

They only consented to being studied for "bad blood", which is a term used for ailments ranging in severity from fatigue and the common cold to anemia and syphilis.  With that kind of term, there is no way for the consent to be informed.  Another step for the consent not being informed is that the subjects were told that they would be treated, even though they weren't.  Even when penicillin was introduced into circulation 15 years later in the 1940's, they went untreated by the Public Health Service, the group whose main service is public health.  This study, which was supposed to last 6 months, give or take a few days, kept on going until it was revealed to the American Public by the Washington Star and followed up by the New York Times in 1972, a full 40 years after it began.  As you'll notice, 40 years is significantly longer than 6 months.



So keeping up with the intent from the first post of this series, this gives us a time of 40 years for the calculations.  What about the number of people?  After all, not nearly everyone in the USPHS was in on this conspiracy.  Based on their own website, "More than 6,500 Commissioned Corps officers" work for the USPHS.  Since there are 11 categories of employees in the USPHS, and only four of those categories -- physicians, nurses, Health Services, and Science and Research Health Professions -- would fall under the class of employees which would be involved in the conspiracy, we can estimate that the maximum number of employees involved in this conspiracy is about 4/11ths of the total employee count, or about 2,400 people.  Since there is no way to reduce this number any further, this is the value I will use for statistical analysis.

If your keeping track at home, this is the third entry of the series.  This gives us the ability to start legitimately begin calculating the standard deviation, which is a measure of how the values deviate from the "standard value", or the average.  The "standard deviation" is the "average deviation from the average value".  So let's do some statistics.  Using the modal described in the first blog of this series, we have a per person per year probability of failure of the conspiracy being 0.0006992%.  Remember, that's per person per year of the existence of the Syphilis "experiment".  That's the largest value yet, so that brings the average up to 0.0003433%.  The standard deviation -- how much each value varies with respect to the average -- is 0.0003103%.

So until next time, take that as you will.
K. "Alan" Eister Δαβ

Relevant Entries:

Comments


  1. Herpes Cure Testimony
    I was diagnose with Genital Herpes for the past 2 years and I have been searching for cure. I have several outbreaks on my back and it really affected me morally, I read a testimony on this platform of a lady from Nevada who was cured from Diabetes with doctor Voke Herbal medicine including the doctor official email address. I contacted the doctor through his email, after much discussion and few questions he prepared the Herbal medicine and asked for my address which I received the Herbal medicine 3 days later and with his prescription I drank the Herbal medicine for 21 days. After concluding the herbal medicine I went for test and my IgG result was confirmed Negative with no trace of the virus on my blood. Contact doctor Voke and be cured his email; (doctorvoke@yahoo.com)
    He has Herbal cure for Diabetes, Hepatitis, Heart diseases.
    Hypertension, Alzheimer's disease, cancer, Strokes and Liver disease. connect with him on facebook
    https://www.facebook.com/Drvoke/

    ReplyDelete

Post a Comment

Popular posts from this blog

Basic Statistics Lecture #3: Normal, Binomial, and Poisson Distributions

As I have mentioned last time , the uniform continuous distribution is not the only form of continuous distribution in statistics.  As promised, here are the three most common continuous distribution types.  As a side note, all sampling distributions are relative to the algebraic mean. Normal Distribution: I think most people are familiar with the concept of a normal distribution.  If you've ever seen a bell curve, you've seen the normal distribution.  If you've begun from the first lecture of this lecture series, you've also seen the normal distribution. This type of distribution is where the data points follow a continuous curve, is non-uniform, has a mean (algebraic average) equal to the median (the exact middle value), falls from highest probability at the mean to (for all practical purposes) zero as the x-values approach $\pm \infty$, and therefor has equal number of data points to the left and to the right of the mean, and has the domain...

Confidence Interval: Basic Statistics Lecture Series Lecture #11

You'll remember last time , I covered hypothesis testing of proportions and the time before that , hypothesis testing of a sample with a mean and standard deviation.  This time, I'll cover the concept of confidence intervals. Confidence intervals are of the form μ 1-α ∈ (a, b) 1-α , where a and b are two numbers such that a<b, α is the significance level as covered in hypothesis testing, and μ is the actual population mean (not the sample mean). This is a the statement of there being a [(1-α)*100]% probability that the true population mean will be somewhere between a and b.  The obvious question is "How do we find a and b?".  Here, I will describe the process. Step 1. Find the Fundamental Statistics The first thing we need to find the fundamental statistics , the mean, standard deviation, and the sample size.  The sample mean is typically referred to as the point estimate by most statistics text books.  This is because the point estimate of the po...

The Connections Between the Sciences

I apologize for taking so long with this entry of my blog. I have been abnormally busy lately with my academics and poetry. Today, I am writing on how all of the sciences are related to one another, in the hopes that you will come to realize that the sciences are not as separate as popular culture and news has us believe. This blog will be geared to those individuals – weather you're the average person or a student of science, or a full blown scientist – who have the opinion that the different fields of science are completely isolated from one another. This sentiment is not true, and I hope to show the false-hood of this concept here. In physics, we have the concept of “The Right-Hand-Rule”. This pretty much determines whether the a force perpendicular to two vectors is “positive” or “negative”. Torque is a good example of this. The amount of torque placed on, say, a bolt by a crescent wrench is perpendicular to the position vector and the fo...