Property and Casualty Insurance 2009 Report Card 75%

5/18/2009, 12:00:00 AM

BS Summary: This article contains 25 faulty reasoning types, including Framing Effect, Post Hoc (False Cause), and Negativity Bias, with Biased Writer Voice as the most egregious example at 48.1% saturation with 299 hits. Analysis detected 1,502 faulty-reasoning hits from 622 analyzed words, generating a BS Score of 66.4% and a BS Rank of 75% (5,650 of 21,887 articles). This article is worse (more manipulative) than 74.20% of the article peer group.

May 18, 2009 3:00 AM ET 
For the second year in a row, the Competitive Enterprise Institute and The Heartland Institute asked two fundamental questions about America’s state insurance regulations: 
How free are consumers to choose the property and casualty insurance products they want? 
How free are insurers to provide the property and casualty insurance products consumers say they want? 
Also for the second year in a row, we found a discouraging answer: not very free. 
America’s state-level insurance bureaucracies make it difficult—sometimes impossible—for insurers to offer consumers the products they need, want, and deserve. 
This study consists of four sections: this introduction, which describes why we are conducting this study; an explanation and defense of the methodology we used; a review of major changes in state insurance law during 2008; and, finally, the numerical ranking itself. 
We conducted this study for three reasons: because insurance is an important economic activity; because it is regulated almost entirely at the state level, resulting in significant variations of rules from state to state; and because we hope an objective look at state insurance regulation will encourage states to compete by creating freer environments for consumers and insurers. 
Insurance produces considerable wealth and employment benefits. 
In 2007 (the most recent year for which data are available), America’s property and casualty insurers charged premiums of almost $450 billion (according to the Insurance Services Office) and employed about 585,000 Americans. 
However, even before the beginning of the current recession, America’s property and casualty insurance industry was shrinking. 
The 2006-2007 and 2007-2008 periods saw the first back-to-back declines in total property and casualty insurance industry revenue on record. 
Industry employment also has fallen and, when final 2008 numbers come in, it appears likely we will find the industry has shed around 30,000 jobs. 
More layoffs—at least 10,000—happened during early 2009. 
Insurance is also the largest and most important economic activity regulated almost entirely at the state level. 
In some cases, this regulation leads to inefficiency. 
Although federal and international entities oversee banking, trade, manufacturing, and many service industries, states alone have the power to oversee property and casualty insurance ever since Congress approved the McCarran-Ferguson Act of 1945. 
As a result, insurers and consumers must deal with a confusing and expensive maze of state regulations. 
International insurers have a difficult time entering the United States market because they must enter each state market separately. 
State regulation makes insurance more expensive on average because incumbent insurers often lobby political authorities for rules that limit competition and allow them to raise rates. 
Consumers use their political influence as voters to support rate caps and subsidies to socialize the cost of insuring against risks they face due to the choices they make and should pay themselves. 
Both pressures lead to less consumer choice: Major property and casualty insurers have not introduced a single major new product since modern homeowners insurance (the HO-3 policy in industry parlance) became available in 1959. 
No state does a perfect job of regulating insurance, but some do better than others. 
We produce this ranking to give states a sense of what they ought to do if they wish to free their insurance markets. 
We tried to collect data that show what states should—and shouldn’t—do as they consider changes to their insurance regulatory environments. 
We are conducting this study for the sake of consumers, elected officials, and individuals within the insurance industry (in that order). 
Its findings may not consistently reflect the opinions of those in the insurance industry or “consumer rights” advocacy groups and, indeed, may sometimes run directly counter to them. 
We believe an open and free insurance market maximizes the effectiveness of competition at fulfilling consumer desires. 
Article reasoning-pattern comparisonThis article: 16.7%The Daily Caller: 5.0%Confirmation Bias16.7%This article: 0.0%The Daily Caller: 0.7%Anchoring Bias0.0%This article: 5.3%The Daily Caller: 2.7%Availability Heuristic5.3%This article: 2.7%The Daily Caller: 0.8%Representativeness Heuristic2.7%This article: 0.0%The Daily Caller: 0.4%Hindsight Bias0.0%This article: 4.0%The Daily Caller: 3.3%Overconfidence Bias4.0%This article: 20.6%The Daily Caller: 10.4%Framing Effect20.6%This article: 0.0%The Daily Caller: 0.9%Loss Aversion0.0%This article: 2.4%The Daily Caller: 0.9%Status Quo Bias2.4%This article: 0.0%The Daily Caller: 0.1%Sunk Cost Effect0.0%This article: 2.7%The Daily Caller: 2.7%Optimism Bias2.7%This article: 12.1%The Daily Caller: 2.5%Pessimism Bias12.1%This article: 17.5%The Daily Caller: 8.2%Negativity Bias17.5%This article: 10.6%The Daily Caller: 1.2%Self-Serving Bias10.6%This article: 5.3%The Daily Caller: 0.9%Fundamental Attribution Error5.3%This article: 0.0%The Daily Caller: 0.1%Actor-Observer Bias0.0%This article: 0.0%The Daily Caller: 1.8%In-Group Bias0.0%This article: 0.0%The Daily Caller: 0.9%Out-Group Homogeneity Bias0.0%This article: 0.0%The Daily Caller: 1.6%Halo Effect0.0%This article: 0.0%The Daily Caller: 0.1%Horn Effect0.0%This article: 0.0%The Daily Caller: 0.0%Dunning-Kruger Effect0.0%This article: 3.2%The Daily Caller: 0.9%Recency Bias3.2%This article: 0.0%The Daily Caller: 0.6%Primacy Effect0.0%This article: 4.5%The Daily Caller: 0.2%Blind-Spot Bias4.5%This article: 0.0%The Daily Caller: 1.1%Ad Hominem0.0%This article: 0.0%The Daily Caller: 1.3%Straw Man0.0%This article: 10.6%The Daily Caller: 4.6%Appeal to Authority10.6%This article: 0.0%The Daily Caller: 2.9%False Dilemma0.0%This article: 0.0%The Daily Caller: 2.4%Slippery Slope0.0%This article: 3.2%The Daily Caller: 0.2%Circular Reasoning3.2%This article: 9.8%The Daily Caller: 6.3%Hasty Generalization9.8%This article: 0.0%The Daily Caller: 0.4%Red Herring0.0%This article: 0.0%The Daily Caller: 1.0%Bandwagon0.0%This article: 0.0%The Daily Caller: 5.7%Appeal to Emotion0.0%This article: 8.0%The Daily Caller: 2.1%Begging the Question8.0%This article: 18.2%The Daily Caller: 3.5%Post Hoc (False Cause)18.2%This article: 0.0%The Daily Caller: 0.1%Tu Quoque0.0%This article: 0.0%The Daily Caller: 0.9%Burden of Proof0.0%This article: 1.1%The Daily Caller: 0.2%Appeal to Nature1.1%This article: 0.0%The Daily Caller: 0.4%Composition/Division0.0%This article: 0.0%The Daily Caller: 1.5%Anecdotal0.0%This article: 0.0%The Daily Caller: 0.0%No True Scotsman0.0%This article: 5.8%The Daily Caller: 1.9%Ambiguity (Equivocation)5.8%This article: 0.0%The Daily Caller: 0.0%Gambler’s Fallacy0.0%This article: 2.4%The Daily Caller: 0.2%Middle Ground2.4%This article: 0.0%The Daily Caller: 0.1%Personal Incredulity0.0%This article: 1.3%The Daily Caller: 0.2%Special Pleading1.3%This article: 0.0%The Daily Caller: 0.1%Genetic Fallacy0.0%This article: 0.0%The Daily Caller: 2.2%Unattributed Quote0.0%This article: 0.0%The Daily Caller: 1.8%Quote-first Misdirection0.0%This article: 48.1%The Daily Caller: 8.5%Biased Writer Voice48.1%This article: 12.2%The Daily Caller: 3.6%Indoctrination12.2%This article: 0.0%The Daily Caller: 0.3%Politically Left Leaning Bias0.0%This article: 0.0%The Daily Caller: 5.0%Politically Right Leaning Bias0.0%This article: 13.0%The Daily Caller: 1.3%Attempt to Sell a Product or S…13.0%

622 words analyzed.

Speakers

1speaker8.7%attributed speech568writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 7 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageCompetitive Enterprise Institute • 24 words • 0.0% coverageCompetitive Enterprise Institute • 14 words • 100.0% coverageCompetitive Enterprise Institute • 16 words • 100.0% coverageWriter's voice • 16 words • 100.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 42 words • 0.0% coverageWriter's voice • 58 words • 100.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 33 words • 100.0% coverageWriter's voice • 34 words • 100.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 20 words • 100.0% coverageWriter's voice • 21 words • 100.0% coverageWriter's voice • 28 words • 100.0% coverageWriter's voice • 17 words • 100.0% coverage
56%flagged-word coverage
54 attributed words100% of attributed speech90% writer coverage
0%30.0%60.0%Biased Writer Voice+8.2 ptsWriter: 47.4%Competitive Enterprise Institute: 55.6%55.6%Attempt to Sell a Product -14.3 ptsWriter: 14.3%Competitive Enterprise Institute: 0.0%0.0%Indoctrination-13.4 ptsWriter: 13.4%Competitive Enterprise Institute: 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.