#SouthSudan #Sudan #SSOT

*Exposé of the Healthcare Sector in South Sudan*

Monday 4 January, 2021
(Washington DC; London)

*HIV/AIDS in South Sudan: The Diagnosis That Leads to the Murder of Doctors*

*Thon Wal* is an officer within the South Sudan National Police Service (SSNPS).

He was partly trained in Khartoum, Sudan, by the north Sudanese National Intelligence Security Service of the former Omar Hassan Al-Bashir and National Congress Party regime.

Aside from being a...
...policeman in the SSNPS, Thon Wal has also been operating in South Sudan for several years as a “private contractor” within the South Sudanese security apparatuses. Mercenaries who make themselves available for hire; and are sometimes more commonly called, the “Unknown Gunmen”.
So what is the relationship between Thon Wal and the former southern Sudan Inspector General of Police (IGP), *Makuei Deng Majuch*?
What is Thon Wal’s relationship with the key eye-witness, another policeman called *Mathew Aluong Makor*, in the murder of the British medical doctor, neuroscientist and academic, *Dr. Ding Col Dau Ding*? (1)
Why did Thon Wal and another policeman named *Adut Mach*, who is also associated with Makuei Deng Majuch, threaten the life of Dr. Ding Col Dau Ding just two weeks before his murder?
The elder brother of the Late Dr. Ding, *Dr. Dau Col Dau Ding*, shall provide answers to these questions, and more, within the upcoming 2nd part of his three-part “Personal Reflection”. (2)
He shall provide details as to why and how the key eye-witness, Mathew Aluong Makor, has been protected for over 5 years by the former IGP, Makuei Deng Majuch, and by Thon Wal. (3)

“The truth never ever stays unknown and hidden indefinitely”, says Dr. Dau Col Dau Ding. (@DauCol)
###

Justice For Dr Ding
#Justice4DrDing

Justice For All South Sudanese
#Justice4AllSouthSudanese

(1)
https://t.co/slSvoy6Gnz

(2)
https://t.co/nslY4GvGxz

(3)
https://t.co/E3bvFEJZXY
#SouthSudan
#Sudan
#SSOT

@dr_justice4

@ARDCmedical

@SudanAlliance

@YourAnonCentral

https://t.co/zYZVSqdjHA
@threadreaderapp, please unroll. Thanks.

More from Health

You gotta think about this one carefully!

Imagine you go to the doctor and get tested for a rare disease (only 1 in 10,000 people get it.)

The test is 99% effective in detecting both sick and healthy people.

Your test comes back positive.

Are you really sick? Explain below 👇

The most complete answer from every reply so far is from Dr. Lena. Thanks for taking the time and going through


You can get the answer using Bayes' theorem, but let's try to come up with it in a different —maybe more intuitive— way.

👇


Here is what we know:

- Out of 10,000 people, 1 is sick
- Out of 100 sick people, 99 test positive
- Out of 100 healthy people, 99 test negative

Assuming 1 million people take the test (including you):

- 100 of them are sick
- 999,900 of them are healthy

👇

Let's now test both groups, starting with the 100 people sick:

▫️ 99 of them will be diagnosed (correctly) as sick (99%)

▫️ 1 of them is going to be diagnosed (incorrectly) as healthy (1%)

👇

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