Demand evidence: What facts do you really know for a "fact"

Exactly. Spot on. Criminology experts in a Home Office report told us that all police officers are effectively headless #zombies when on the beat. Until the myth was bust: https://t.co/d8ajrwkDrw https://t.co/CMV1zFIoyz

— Dr Mike Sutton (@Criminotweet) May 27, 2018

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Conducting research into beliefs held by the scientific so-called "establishment", #BigData means N=all you no longer need rely upon biased sampling of so-called "experts", because you get the otherwise hidden
data they missed. Disruptive technology https://t.co/E8QuuMzsSL: pic.twitter.com/2IMsRVovQZ

— Dr Mike Sutton (@Criminotweet) May 27, 2018

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For homeopaths and their patients everywhere:

'So what of quacks who
like sea squirts do the same,
find a rock to cling on,
then eat their own brain?' pic.twitter.com/Cb3j7xc1Q1

— Dr Mike Sutton (@Criminotweet) May 28, 2018

N=all

On N=All

From top selling book 'BigData'

"One of the areas that is being so dramatically shaken up by N=all is the social sciences."

Google Books = entire libraries

1. https://t.co/yMLRSHW8Vc
2. https://t.co/LMpbVPMAh6
3. https://t.co/RiRXVgRk1g
4. https://t.co/R3oTyZalfe pic.twitter.com/rr831yJKrP

— Dr Mike Sutton (@Dysology) May 27, 2018

BIg Data Killed the Darwin Myth

On how exactly @IE_BigData Big Data killed Charles Darwin's dishonest mythology, slashed it in two with a bread knife and then danced up and on his grave singing hallelujah https://t.co/gNkAkexkIv

— BlessedVirginDarwin (@OnNavalTimber) May 19, 2018

Homeopathic Jokes

With their falthists teeth in a jar?

— Dr Mike Sutton (@Dysology) April 11, 2018

Fact Suppression and Persecution: A case study

The corporatization of unis (focus on money) is a growing problem at the expense of science. Not saying that it was never around but it is a growing problem. My story began with Frank vs Western Sydney Uni but now it's Frank vs the whole darn Aus system https://t.co/S7L23jeFog

— Frank van der Kooy (@frank_kooy) May 15, 2018

Google, A.I. and Predictions of Hi-tech Apocalypse: The Exponential Detriment Question

I wonder just how many interesting little cases we have already that confirm our most conservative fear that deep learning A.I. may 'deep learn' to do things that do no benefit humans? By way of one small example, Prof Make Griffiths and I have just published a peer reviewed paper that shows Google's deep-learning autonomous A.I. Rank Brain appears to be preventing humans from using the previously incredibly disruptive Big Data power of using the IDD method in Google Books to bust deeply embedded establishment myths. The paper is here: http://www.mdpi.com/2076-0760/7/4/66

How many such small examples do we need to sum to the probabilities: (1) That (currently) an A.I apocalypse is more likely than not. (2) That an A.I. apocalypse is (currently) imminent? We might call this problem the "Exponential Detriment Question". One thing is for sure. There can be no harm to humans in collecting the necessary data now.

1. ELON MUSK’S BILLION-DOLLAR CRUSADE TO STOP THE A.I. APOCALYPSE https://t.co/sn8JwUakjO

2. Sutton and @DrMarkGriffiths 4x expert peer reviewed paper that finds a wee bit of confirmatory evidence for the AI apocalypse concern being valid: https://t.co/waIQjoe3EE pic.twitter.com/mvry15kmVm

— Dr Mike Sutton (@Criminotweet) May 13, 2018

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If you know the importance of what you unearthed, you had better "trumpet it from the rooftops" @DrMarkGriffiths otherwise people like @RichardDawkln will claim you're a dim poor sucker who never understood the importance of what you originally discovered https://t.co/RiRXVgRk1g pic.twitter.com/6jGdExlWrm

— Dr Mike Sutton (@Dysology) May 13, 2018