Attack of the Utility Monsters: The New Threats to Free Speech (Policy Analysis) 93%

By null null93%

11/16/2009, 5:00:00 AM

BS Summary: This article contains 30 faulty reasoning types, including Negativity Bias, Confirmation Bias, and Availability Heuristic, with Biased Writer Voice as the most egregious example at 35.4% saturation with 154 hits. Analysis detected 1,214 faulty-reasoning hits from 435 analyzed words, generating a BS Score of 88.6% and a BS Rank of 93% (1,496 of 21,176 articles). This article is worse (more manipulative) than 92.90% of the article peer group.

Freedom of expression is looking less and less like a settled issue. 
Challenges to it have lately arisen from the right, from the left, from Muslim perspectives, and even in the name of protecting children online. 
These challenges seem to share an underlying concern, namely that we must balance free expression against the psychic hurt that some expressions will provoke. 
Often these critiques are couched in language that draws or appears to draw, on the law and economics movement. 
Yet the cost-benefit analyses advanced to support restrictions on expression are incomplete, subjective, and self-contradictory. 
Several examples help to illustrate this point, including flag-desecration laws, hate-speech laws in the United Kingdom and Canada, U.S. college and university speech codes, the Cairo Declaration on Human Rights in Islam, and the Megan Meier Cyberbullying Prevention Act, currently before the House Judiciary Subcommittee on Crime, Terrorism, and Homeland Security. 
Although seemingly unrelated, these measures rely on a common assumption, namely that governments should provide emotional well-being to their citizens, even at the expense of free expression. 
This assumption discounts the emotional well-being of other citizens, neglects countervailing social considerations, and hands arbitrary power to governments. 
The result is not more happiness, but a race to the bottom, in which aggrieved groups compete endlessly with one another for a slice of government power. 
Philosopher Robert Nozick once observed that utilitarianism is hard-pressed to banish what he termed utility monsters—that is, individuals who take inordinate satisfaction from acts that displease others. 
Arguing about who hurt whose feelings worse, and about who needs more soothing than whom, seems designed to discover—or create—utility monsters. 
We must not allow this to happen. 
Instead, liberal governments have traditionally relied on a particular bargain, in which freedom of expression is maintained for all, and in which emotional satisfaction is a private pursuit, not a public guarantee. 
This bargain can extend equally to all people, and it forms the basis for an enduring and diverse society, one in which differences may be aired without fear of reprisal. 
Although world cultures increasingly mix with one another, and although our powers of expression are greater than ever before, these are not sound reasons to abandon the liberal bargain. 
Restrictions on free expression do not make societies happier or more tolerant, but instead make them more fractious and censorious. 
Jason Kuznicki is a research fellow at the Cato Institute and the managing editor of Cato Unbound, as well as an assistant editor of the Encyclopedia of Libertarianism. 
He earned a Ph.D. in history from Johns Hopkins University. 
Article reasoning-pattern comparisonThis article: 17.2%null null: 9.7%The Daily Caller: 5.0%Confirmation Bias17.2%This article: 0.0%null null: 1.6%The Daily Caller: 0.7%Anchoring Bias0.0%This article: 16.1%null null: 6.4%The Daily Caller: 2.7%Availability Heuristic16.1%This article: 11.7%null null: 1.5%The Daily Caller: 0.8%Representativeness Heuristic11.7%This article: 0.0%null null: 0.1%The Daily Caller: 0.4%Hindsight Bias0.0%This article: 0.0%null null: 11.3%The Daily Caller: 3.3%Overconfidence Bias0.0%This article: 3.0%null null: 13.7%The Daily Caller: 10.4%Framing Effect3.0%This article: 0.0%null null: 3.5%The Daily Caller: 0.9%Loss Aversion0.0%This article: 7.4%null null: 2.1%The Daily Caller: 0.9%Status Quo Bias7.4%This article: 0.0%null null: 1.0%The Daily Caller: 0.1%Sunk Cost Effect0.0%This article: 6.9%null null: 8.2%The Daily Caller: 2.7%Optimism Bias6.9%This article: 10.6%null null: 4.4%The Daily Caller: 2.5%Pessimism Bias10.6%This article: 29.4%null null: 8.8%The Daily Caller: 8.2%Negativity Bias29.4%This article: 0.0%null null: 0.0%The Daily Caller: 1.2%Self-Serving Bias0.0%This article: 5.5%null null: 0.5%The Daily Caller: 0.9%Fundamental Attribution Error5.5%This article: 0.0%null null: 0.0%The Daily Caller: 0.1%Actor-Observer Bias0.0%This article: 0.0%null null: 0.6%The Daily Caller: 1.8%In-Group Bias0.0%This article: 0.0%null null: 0.1%The Daily Caller: 0.9%Out-Group Homogeneity Bias0.0%This article: 2.3%null null: 1.5%The Daily Caller: 1.6%Halo Effect2.3%This article: 0.0%null null: 0.0%The Daily Caller: 0.1%Horn Effect0.0%This article: 0.0%null null: 0.0%The Daily Caller: 0.0%Dunning-Kruger Effect0.0%This article: 8.3%null null: 0.7%The Daily Caller: 0.9%Recency Bias8.3%This article: 7.4%null null: 1.1%The Daily Caller: 0.6%Primacy Effect7.4%This article: 0.0%null null: 0.4%The Daily Caller: 0.2%Blind-Spot Bias0.0%This article: 6.4%null null: 0.6%The Daily Caller: 1.1%Ad Hominem6.4%This article: 6.2%null null: 4.0%The Daily Caller: 1.3%Straw Man6.2%This article: 8.5%null null: 5.7%The Daily Caller: 4.6%Appeal to Authority8.5%This article: 11.5%null null: 9.9%The Daily Caller: 2.9%False Dilemma11.5%This article: 11.0%null null: 5.0%The Daily Caller: 2.4%Slippery Slope11.0%This article: 0.0%null null: 0.3%The Daily Caller: 0.2%Circular Reasoning0.0%This article: 10.1%null null: 15.2%The Daily Caller: 6.3%Hasty Generalization10.1%This article: 0.0%null null: 0.0%The Daily Caller: 0.4%Red Herring0.0%This article: 0.0%null null: 0.4%The Daily Caller: 1.0%Bandwagon0.0%This article: 4.4%null null: 2.8%The Daily Caller: 5.7%Appeal to Emotion4.4%This article: 1.6%null null: 6.0%The Daily Caller: 2.1%Begging the Question1.6%This article: 0.0%null null: 2.4%The Daily Caller: 3.5%Post Hoc (False Cause)0.0%This article: 0.0%null null: 0.0%The Daily Caller: 0.1%Tu Quoque0.0%This article: 7.8%null null: 2.8%The Daily Caller: 0.9%Burden of Proof7.8%This article: 0.0%null null: 0.6%The Daily Caller: 0.2%Appeal to Nature0.0%This article: 5.5%null null: 0.4%The Daily Caller: 0.4%Composition/Division5.5%This article: 11.7%null null: 1.0%The Daily Caller: 1.5%Anecdotal11.7%This article: 0.0%null null: 0.0%The Daily Caller: 0.0%No True Scotsman0.0%This article: 4.4%null null: 3.0%The Daily Caller: 1.9%Ambiguity (Equivocation)4.4%This article: 0.0%null null: 0.0%The Daily Caller: 0.0%Gambler’s Fallacy0.0%This article: 6.7%null null: 0.4%The Daily Caller: 0.2%Middle Ground6.7%This article: 0.0%null null: 0.1%The Daily Caller: 0.1%Personal Incredulity0.0%This article: 0.0%null null: 0.2%The Daily Caller: 0.2%Special Pleading0.0%This article: 0.0%null null: 0.1%The Daily Caller: 0.1%Genetic Fallacy0.0%This article: 0.0%null null: 1.6%The Daily Caller: 2.2%Unattributed Quote0.0%This article: 2.3%null null: 2.6%The Daily Caller: 1.8%Quote-first Misdirection2.3%This article: 35.4%null null: 16.2%The Daily Caller: 8.5%Biased Writer Voice35.4%This article: 7.8%null null: 12.7%The Daily Caller: 3.6%Indoctrination7.8%This article: 0.0%null null: 0.0%The Daily Caller: 0.3%Politically Left Leaning Bias0.0%This article: 5.5%null null: 13.7%The Daily Caller: 5.0%Politically Right Leaning Bias5.5%This article: 6.4%null null: 0.9%The Daily Caller: 1.3%Attempt to Sell a Product or S…6.4%

435 words analyzed.

Speakers

2speakers15%attributed speech370writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 13 words • 100.0% coverageWriter's voice • 12 words • 100.0% coverageWriter's voice • 24 words • 100.0% coverageWriter's voice • 24 words • 100.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 15 words • 100.0% coverageWriter's voice • 51 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 27 words • 100.0% coverageRobert Nozick • 27 words • 0.0% coverageWriter's voice • 21 words • 100.0% coverageWriter's voice • 7 words • 100.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 30 words • 100.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 20 words • 100.0% coverageJason Kuznicki • 28 words • 100.0% coverageJason Kuznicki • 10 words • 100.0% coverage
Selected voice

Jason Kuznicki

100%flagged-word coverage
38 attributed words58% of attributed speech100% writer coverage
0%37.5%75.0%Attempt to Sell a Product +73.7 ptsWriter: 0.0%Jason Kuznicki: 73.7%73.7%Biased Writer Voice-41.6 ptsWriter: 41.6%Jason Kuznicki: 0.0%0.0%Quote-first Misdirection+26.3 ptsWriter: 0.0%Jason Kuznicki: 26.3%26.3%Indoctrination-9.2 ptsWriter: 9.2%Jason Kuznicki: 0.0%0.0%Politically Right Leaning -6.5 ptsWriter: 6.5%Jason Kuznicki: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.