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Monday, December 2, 2019

These Countries Are Prone To Scientific Fraud

Falsifying 
scientific data
or manipulating the 
scientific evaluation 
process is a 
serious problem. 

Public policy could be 
shaped by bogus data. 

Fraud is widespread 
in non-Western countries,
and among non-Western 
scientists who immigrate 
to the U.S.

Dutch social psychologist 
Diederik Stapel has had 
to retract 58 (so far)
scientific articles 
in which he made up
or manipulated his data. 


Many were politically 
useful for leftists.

One retracted study 
claimed a dirty, untidy 
environment made 
people more racist.

Another study claimed 
people who eat meat 
are more selfish than 
vegetarians. 



Microbiologist 
Elizabeth Bik 
just went public, a few
weeks ago,  alleging 
massive scientific fraud, 
between 2004 and 2019, 
among academics at 
Annamalai University 
in Tamil Nadu in India. 

This may lead 
to the retraction 
of up to 200 papers 
by microbiologists 
at the university.



Scientists from some 
countries are more 
inclined to make up data 
or corrupt the peer-review 
process, than are 
scientists elsewhere.

Many scientists research 
extremely narrow fields, 
meaning there are few 
people in the world 
qualified to peer review
their studies. 

When scientists submit 
an article to a journal, 
they are often asked 
to nominate potential 
peer-reviewers, and 
provide their email 
addresses.

What could possibly
go wrong with that 
procedure ?
(heh heh)

Many editors, even of 
prestigious journals, 
do not practice any
due diligence -- 
checking the names 
of recommended 
peer reviewers.

Corrupt researchers 
invent a couple of 
fictitious researchers 
and provide emails 
to which only they
have access. 

Or they give 
real researchers’ 
names, but create 
a new, bogus email, 
address only they
have access to.

They are then able
to "peer-review" 
their own papers
and recommend 
publication !



Retractions Due to 
Fake Peer Reviews
The world leader is China. 

Between 2012 and 2016, 
276 studies by Chinese 
academics were retracted 
for fake peer review. 









Taiwan --  73 retractions, 
Iran -- 65, 
South Korea -- 33,
Pakistan --19, 
India, 16. 

When calculated as 
fake peer review retractions
per capita, the most corrupt 
country, by far, is Taiwan
 (population 23 million),
then Iran, then South Korea.

Data Source: 
The Economy of Fraud 
in Academic Publishing in China, 
by Mini Gu, WENR, April 3, 2019.

Be cautious 
about trusting 
scientific papers 
authored by scholars 
from these countries.

Author Mini Gu
( see above)
says in Northeast Asia, 
and many other
"developing" nations, 
many scientists are
“on commission.” 

If they get an article 
published in a 
high-impact academic 
journal, they get paid 
much more than if it is 
published in a 
less prestigious 
journal. 

Without publishing 
these articles 
scientist salaries 
would be very low,

They also paid 
“per article,” 
pushing them towards 
quantity, over quality.

Western academics 
must publish 
a certain number 
of articles 
every few years 
for their contracts 
to be renewed,
but they also
get paid well, 
without money 
from the articles.

Asian corruption 
ranges from 
self-plagiarism—
presenting 
the same paper 
with a different name,
as though they were 
two different papers.

Much worse is 
making up data.

A useful list of papers
retracted for made up data 
can be found at the website 
Retraction Watch . 

It lists the 32 scientists 
who have had to retract 
the most papers for 
scientific fraud 
of various kinds.

The website claims:
“We note that all but one 
of the top 32 are men, 
which agrees with the 
general findings 
of a 2013 paper 
suggesting that men 
are more likely to have 
papers retracted for fraud.” 

6 of those 32 scientists 
are Japanese,
4 are Indian, 
3 are Iranian, 
3 are South Korean, 
3 are from the USA, 
2 are Taiwanese, and
2 are Chinese.

Some of these 
Third World 
scientists 
were corrupt
when working 
at US universities.

Why is there so much 
scientific corruption 
in high IQ and wealthy 
Taiwan, Japan, and 
South Korea?

I have no idea.