News and Articles

Appeal to Ignorance - Definition and Examples

Appeal to Ignorance comes from argumentum ad ignorantiam, which is a Latin word that literally translates as “Argument from ignorance.”

This is the logical fallacy that a statement or belief is false simply because it has not been proven true or, conversely, true because it has not been proven false. This is a variation of “innocent until proven guilty” that resonates so well in America because it is what American criminal justice system is based upon. However, in logic, neither side has the disproportionate burden of proof; both sides must prove their own conclusions.

Annotated Logical Fallacies Dataset for Training AI - Review

Logical Fallacy Detector and Dataset

A new paper published in Feb 2022 (v1) - May 2022 (v2) “Logical Fallacy Detector” by Zhijing Jin and others, has a dataset “Logic” of annotated logical fallacy examples as an open-source appendix. This dataset is available on https://github.com/causalNLP/logical-fallacy . In case the original repo is not online - the Sep 2022 copy of the repository is available on https://github.com/tmakesense/logical-fallacy/tree/main/original-logical-fallacy-by-causalNLP .

Appeal to Novelty - Definition and Examples

Appeal to Novelty Fallacy is from the Latin argumentum ad novitatem - claiming that some idea or product is better than previous ones just because it is new.

Appeal to Novelty

This fallacy is frequently used in marketing of new products, fashion, political advertising, and other areas. Some keywords used to describe and praise novelty are “the next new thing”, “pushing the envelope”, “new and improved”, “cutting-edge”.

Make Sense News Australia: August 2022

How We Choose

We’ve selected the top most engaging news articles on Twitter from Australian news media. The selection criteria are based on logical fallacies statistics found in the retweets and comments.

Critical Concentration

“Senator Jacinta Nampijinpa Price has accused journalist Peter FitzSimons of being “very aggressive” during a passionate interview about the Indigenous Voice…”

The response to this tweet contains approximately 45% of comments that look a lot like fallacious reasoning of any type fallacy finder can recognise. Spread between reasoning type groups: