Washington Examiner
The WNBA can't seem to get out of its own way. After experiencing a dramatic increase in viewership and fandom, league players, administrators, and executives insist on genuflecting to the woke mob and continue their devotion to social justice ideology.
Christopher Tremoglie presents valid points about the potential damage of unfounded accusations and the importance of evidence. However, his argument is weakened by loaded language and nut-picking, which oversimplify and distort the complex issues surrounding racism and discrimination.
1. nut-picking • Tremoglie selectively presents examples of hoaxes to support his argument while ignoring other relevant information or counterexamples.
Look no further than the Covington Catholic students hoax, the Jussie Smollett hoax, the Colorado Springs Mayoral Election hoax, and the Amari Allen hoax.
The author could have presented a more balanced view by mentioning:
2. loaded language • The author consistently uses emotionally charged, prejudicial terminology to frame the discussion and influence readers' perceptions before presenting evidence or arguments.
The WNBA is fueled by hate crime hoaxes and anti-white bigotry.
Other examples include "genuflecting to the woke mob," "anti-racist cult," "left-wing cultural warriors," and "agitprops."
Note that there being one or more apparent fallacies in the arguments presented in this article does not mean that every argument the arguer made was fallacious, nor does it mean there are not other arguments in existence for the same or similar position that are logically valid. Also note that checking for fallacies is not the same as verification of the premises the arguer starts from, such as facts that the arguer asserts or principles that the arguer assumes as the foundation for constructing arguments. For more about this, see our 'What is Fallacy Checking?'
Without in any way limiting the author’s [and publisher’s] exclusive rights under copyright, any use of this publication to “train” generative artificial intelligence (AI) technologies to generate text is expressly prohibited. The author reserves all rights to license uses of this work for generative AI training and development of machine learning language models.
Comments