Plagiarising Science Fraud

Plagiarising Science Fraud
Newly Discovered Facts, Published in Peer Reviewed Science Journals, Mean Charles Darwin is a 100 Per Cent Proven Lying, Plagiarising Science Fraudster by Glory Theft of Patrick Matthew's Prior-Published Conception of the Hypothesis of Macro Evolution by Natural Selection

Sunday 29 July 2018

Heresy for Darwinite Fanatics


Friday 27 July 2018

Plagiarism in the Journal of the Linnean Society

One of the apparently totally obsessed with me cyberstalkers - this one is a German named Dagg who follows me all over the Internet writing silly, often factually wrong and otherwise illogical comments - blatantly plagiarized in the Linnean Journal a couple of months ago (by not citing my book - to which he earlier wrote a typical malicious Darwin worship cult Amazon book review)  my discovery that Selby (among other naturalists I originally unearthed) read and cited Matthew's book pre-1858. [Instead, Dagg used the Selby discovery with no citation of my prior original Big Data discovery of it  (Sutton 2014a , 2014b , 2015)  in the previously hidden literature]. I have been informed by senior academics that I could have his paper retracted on those grounds, but I won't stoop to that level. Because now I can write wherever I like that he (an obsessive critic of my published original discoveries) plagiarized me on the topic of Darwin and Wallace plagiarizing Matthew, and he did in the exact same journal where Darwin and Wallace plagiarised Matthew. Moreover, he did so in an article trying to refute any evidence that Darwin did commit plagiarism. How ironic is that? I prefer to let the publication record speak for itself. It's all history and is all very amusing. These facts speak volumes for the quality of the Journal of the Linnean Society, of course.

More on this topic of malicious cyberstalking and other unscholarly conduct (with all the clickable archived references to support these facts) on the Patrick Matthew website Here.

An earlier blog on this particular hilarious Linnean Society Journal debacle here

Saturday 21 July 2018

A Public Health Information Tweet On Skin Cancer and Donald Trump

According to the Independent newspaper Donald Trump's ludicrous appearance may be driving down visits to skin cancer-bed salons

Friday 20 July 2018

Itchy Beard Day


Wednesday 18 July 2018

Darwin never lied he just "misspoke": Itchy Beard!


Facts are facts and lies are lies.

Monday 16 July 2018

Don't be Like Trump and his Ignorant Followers: Say "Nullius in Verba"

Just as the plagiarist, extortionist, and teller of tall-tales, Alfred Wallace did in the 19th century, Donald Trump promotes an anti-vaccination agenda in the 21st. As our Health Watch article reveals, Trump's ill-reasoning is based on the infamous retracted Wakefield paper.

Darwin was a prolific plagiarist and he lied to cover up the fact he and Wallace committed the World's greatest science fraud by plagiary.

Thursday 12 July 2018

On Harassment of Academics

Read my Amazon book review of Ernst's SCAM here

Saturday 7 July 2018

Who Do We Think We Are? Big Data N=All and Mentions in Parliament Cited in Hansard

Is is interesting to see that the same Big Data technology that for the first time (Sutton 2014, 2017) detected Patrick Matthew's (1831) book and bombshell theory of evolution by natural selection being cited in the historic literature by Darwin's and Wallace's influencers and also by their influencer's influencers (all many years before Darwin's and Wallace's 1858 Linnean Society Scandal supposedly miraculous immaculate independent conception replications of the same theory) enables me to see that my Market Reduction Approach to theft and my name have been mentioned in UK Parliamentary answers. Moreover, it is very good to see that a number of my co-authors down the years are similarly mentioned in Hansard. Who do we think we are?


1. My Market Reduction Approach (MRA) and me (Mike Sutton) twice Here. Also  named once here for UK Government contract award (Both main mentions for research archived in full here and here and named for Govt. contract award here)

2. Paul Ekblom: Once Here (archived in full here)

3. Mike Levi three times Here

4. Mark Griffiths ten times Here


So who do YOU think YOU are?

Friday 6 July 2018

Myth Busting, Plagiarism and Lie Detecting Big Data Criminology

In terms of myth busting long cherished science myths, Big Data technology led to the devastating new bombshell discovery that Darwin and Wallace committed the world's greatest science fraud by lies, plagiarism and glory theft of Patrick Matthew's prior-published theory, which their friends/editors/influencers and influencer's influencers read and cited and that Richard Dawkins never coined the term 'selfish gene' nor the concept that is now a biological meme, and so much more besides.

1. Nullius in Verba: Darwin's greatest Secret (Vol. 1 Paperback book).

2. The hi-tech detection of Darwin’s and Wallace’s possible science fraud: Big data criminology re-writes the history of contested discovery (Expert peer reviewed academic article).

3. On Knowledge Contamination: New Data Challenges Claims of Darwin’s and Wallace’s Independent Conceptions of Matthew’s Prior-Published Hypothesis (Expert peer reviewed science journal article).

4. Using Date Specific Searches on Google Books to Disconfirm Prior Origination Knowledge Claims for Particular Terms, Words, and Names (Expert peer reviewed social science journal article) .

6 July 2018
Format: Paperback|Verified Purchase

This is a seminal work on Big Data. I have written on the topic myself with professor Mark Griffiths, who 
recommended the book to me.

Viktor Mayer-Schönberger and Kenneth Cukier, the authors of ‘Big Data’, do an excellent job of telling us exactly 

what Big Data is and how what we currently have is rooted in historic exercises in trying to make sure that as far as
is possible N=all. Of course, N (the sample) seldom does equal all, but what we call Big Data gets substantially 
nearer to that than purposively limited statistical sampling.

What I most like about this book is the fact it provides so many examples of how Big Data reveals insights that could
not have been obtained in any other way. But most importantly, the authors then explain the importance of the 
results obtained. For anyone interested, as am I, in social network theory then pages 30-31 are a must read.

The last chapters of the book reveal the limitations of Big Data and the inherent danger of relying upon predictive 

algorithms – particularly in the fields of criminology, policing and criminal justice.

I cannot recommend the book more highly. Buy it. Read it. Think about it. Be enlightened. It might well change the 

way you think about data.

Tuesday 3 July 2018

Childish Darwin and Wallace Worshippers Should Grow Up