Not Signed-In
Which clippings match 'Causation' keyword pg.1 of 1
19 NOVEMBER 2013

TechNyou: Critical Thinking

"The resource covers basic logic and faulty arguments, developing student's critical thinking skills. Suitable for year 8–10, focused on science issues, the module can be adapted to suit classroom plans."

"TechNyou was established to meet a growing community need for balanced and factual information on emerging technologies. We are funded by the Australian Government Department of Industry, Innovation, Science, Research and Tertiary Education (DIISRTE). We operate in partnership with the University of Melbourne, where our office is based."



2011animated presentationAustralian Government • betting system • biasBlaise PascalBridge8 • broken logic • causal modes of comprehensioncausation • certainty • coincidenceconfidenceconsequences • counter-argument • critical thinkingdeceptiondecision makingDepartment of Industry Innovation Science Research and Tertiary Education (DIISRTE) • does not follow • emerging technologiesevidence-based argumentexpert advice • factual information • fallacious arguments • fallacy • false dilemma • faulty arguments • formal fallacy • forms of logic • gamblers fallacy • gamblinggullibility • head scratching questions • human behaviour • identify patterns • inference • informal fallacy • irrefutable data • James Hutson • logical argument • logical fallacylogical rationalitylogical rules of inferencelogical structurelogical-analytical paradigm • logically impossible • logically true • mathematical conceptsmathematical patternmathematicsmental tricksMike Mcraemisleadingmisunderstandingnon sequituropinionoversimplificationpatternspatterns of meaning • Pierre de Fermat • play the ball not the player • precautionary principle • precautionary tale • predictions • premise • probabilistic outcomes • probability • public informationreckon • repeated observations • risk • rules of logic • science issuessensemaking • straw-man arguments • TechNyou • tertiary education • theoriesthinking skillstrustunethical behaviourUniversity of Melbourne


Liam Birtles
12 MAY 2013

With Enough Data, the Numbers Speak for Themselves...

"Not a chance. The promoters of big data would like us to believe that behind the lines of code and vast databases lie objective and universal insights into patterns of human behavior, be it consumer spending, criminal or terrorist acts, healthy habits, or employee productivity. But many big–data evangelists avoid taking a hard look at the weaknesses. Numbers can't speak for themselves, and data sets –– no matter their scale –– are still objects of human design. The tools of big–data science, such as the Apache Hadoop software framework, do not immunize us from skews, gaps, and faulty assumptions. Those factors are particularly significant when big data tries to reflect the social world we live in, yet we can often be fooled into thinking that the results are somehow more objective than human opinions. Biases and blind spots exist in big data as much as they do in individual perceptions and experiences. Yet there is a problematic belief that bigger data is always better data and that correlation is as good as causation."

(Kate Crawford, 12 May 2013, Foreign Policy)



Apache Hadoop • biasbig data • big-data science • blind spot • causal relationshipscausationcodecomputer utopianism • consumer spending • criminal actscyberspacedata abstractiondata analysisdata collection and analysisdataset • Foreign Policy (magazine) • globalisationhealthy habitsimplicit informationimplicit meaningInternetinternet utopianism • looking at the numbers • network ecologynetworked society • objects of human design • patterns of human behaviourpatterns of meaningquantified measurementreliability and validityscientific ideas • security intelligence • social world • terrorist acts • Twitterunderlying order • universal insights • universal methoduniversal rationality


Simon Perkins

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