BS Summary: This article contains 23 faulty reasoning types, including Negativity Bias, False Dilemma, and Biased Writer Voice, with Hasty Generalization as the most egregious example at 18% saturation with 144 hits. Analysis detected 1,311 faulty-reasoning hits from 802 analyzed words, generating a BS Score of 47.8% and a BS Rank of 45% (11,304 of 20,244 articles). This article is better (less manipulative) than 55.80% of the article peer group.

False balance, known colloquially as bothsidesism, is a media bias in which journalists present an issue as being more balanced between opposing viewpoints than the evidence supports. 
Journalists may present evidence and arguments out of proportion to the actual evidence for each side, or may omit information that would establish one side's claims as baseless. 
False balance has been cited as a cause of misinformation. 
False balance is a bias which often stems from an attempt to avoid bias and gives unsupported or dubious positions an illusion of respectability. 
It creates a public perception that some issues are scientifically contentious, although in reality they are not, therefore creating doubt about the scientific state of research. 
This can be exploited by interest groups such as corporations like the fossil fuel industry or the tobacco industry, or ideologically motivated activists such as vaccination opponents or creationists. 
False balance can be the result of viewpoint discrimination or political bias. 
Political bias can be evaluated relative to the median voter for particular topics. 
Description and origin 
False balance emerges from the ideal of journalistic objectivity, where factual news is presented in a way that allows the reader to make determinations about how to interpret the facts, and interpretations or arguments around those facts are left to the opinion pages. 
Because many newsworthy events have two or more opposing camps making competing claims, news media are responsible for reporting all (credible or reasonable) opposing positions, along with verified facts that may support one or the other side of an issue. 
At one time, when false balance was prevalent, news media sometimes reported all positions as though they were equally credible, even though the facts clearly contradicted a position, or there was a substantial consensus on one side of an issue, and only a fringe or nascent theory supporting the other side. 
In the 2020s, in contrast to prior decades, most media are willing to advocate for a particular viewpoint which they regarded as better evidenced. 
For instance, claims that the Earth is not warming are regularly referred to in news (vs. only editorials) as "denial", "misleading", or "debunked". 
Prior to this shift, media would sometimes list all positions without clarifying that one position is known or generally agreed to be false. 
Unlike most other media biases, false balance may result from an attempt to avoid bias; producers and editors may consider treating competing viewpoints fairly—in proportion to their actual merits and significance—as equivalent to treating them equally, giving them equal time to present their views, even though one of the viewpoints may be overwhelmingly dominant. 
Media would then present two opposing viewpoints on an issue as equally credible, or present a major issue on one side of a debate as having the same weight as a minor one on the other. 
False balance can also originate from other motives such as sensationalism, where producers and editors may feel that a story portrayed as a contentious debate would be more commercially successful than a more accurate (or widely-agreed) account of the issue. 
Science journalist Dirk Steffens mocked the practice as comparable to inviting a flat Earther to debate with an astrophysicist over the shape of the Earth, as if the truth could be found somewhere in the middle. 
Liz Spayd of The New York Times wrote: "The problem with false balance doctrine is that it masquerades as rational thinking." 
Examples 
Examples of false balance in reporting on science issues include the topics of human-caused climate change versus natural climate variability, the health effects of tobacco, the disproven relation between thiomersal and autism, alleged negative side effects of the HPV vaccine, evolution versus intelligent design, and immigration. 
Climate change 
Although the scientific community almost unanimously attributes a majority of the global warming since 1950 to the effects of the Industrial Revolution, there are a very small number  a few dozen scientists out of tens of thousands  who dispute the conclusion. 
Giving equal voice to scientists on both sides makes it seem like there is serious disagreement within the scientific community, when in fact there is an overwhelming scientific consensus on climate change that anthropogenic global warming exists. 
MMR vaccine controversy 
Observers have criticized the involvement of mass media in the MMR vaccine controversy, what is known as "science by press conference", alleging that the media provided Andrew Wakefield's study with more credibility than it deserved. 
A March 2007 paper in BMC Public Health by Shona Hilton, Mark Petticrew, and Kate Hunt postulated that media reports on Wakefield's study had "created the misleading impression that the evidence for the link with autism was as substantial as the evidence against". 
Earlier papers in Communication in Medicine and the British Medical Journal concluded that media reports provided a misleading picture of the level of support for Wakefield's hypothesis. 
Article reasoning-pattern comparisonThis article: 11.0%Wikipedia: 1.8%Confirmation Bias11.0%This article: 0.0%Wikipedia: 0.0%Anchoring Bias0.0%This article: 6.6%Wikipedia: 1.0%Availability Heuristic6.6%This article: 1.6%Wikipedia: 0.4%Representativeness Heuristic1.6%This article: 2.9%Wikipedia: 1.8%Hindsight Bias2.9%This article: 0.0%Wikipedia: 0.9%Overconfidence Bias0.0%This article: 5.9%Wikipedia: 3.2%Framing Effect5.9%This article: 0.0%Wikipedia: 0.0%Loss Aversion0.0%This article: 0.0%Wikipedia: 0.0%Status Quo Bias0.0%This article: 0.0%Wikipedia: 0.0%Sunk Cost Effect0.0%This article: 0.0%Wikipedia: 0.0%Optimism Bias0.0%This article: 0.0%Wikipedia: 0.0%Pessimism Bias0.0%This article: 16.2%Wikipedia: 4.2%Negativity Bias16.2%This article: 0.0%Wikipedia: 0.0%Self-Serving Bias0.0%This article: 6.7%Wikipedia: 1.0%Fundamental Attribution Error6.7%This article: 0.0%Wikipedia: 0.0%Actor-Observer Bias0.0%This article: 0.0%Wikipedia: 0.0%In-Group Bias0.0%This article: 3.6%Wikipedia: 2.5%Out-Group Homogeneity Bias3.6%This article: 0.0%Wikipedia: 0.0%Halo Effect0.0%This article: 0.0%Wikipedia: 0.0%Horn Effect0.0%This article: 0.0%Wikipedia: 0.0%Dunning-Kruger Effect0.0%This article: 3.0%Wikipedia: 0.9%Recency Bias3.0%This article: 0.0%Wikipedia: 0.0%Primacy Effect0.0%This article: 0.0%Wikipedia: 1.0%Blind-Spot Bias0.0%This article: 3.6%Wikipedia: 4.2%Ad Hominem3.6%This article: 0.0%Wikipedia: 1.7%Straw Man0.0%This article: 7.7%Wikipedia: 2.6%Appeal to Authority7.7%This article: 16.2%Wikipedia: 3.6%False Dilemma16.2%This article: 0.0%Wikipedia: 0.0%Slippery Slope0.0%This article: 5.4%Wikipedia: 2.2%Circular Reasoning5.4%This article: 18.0%Wikipedia: 4.7%Hasty Generalization18.0%This article: 0.0%Wikipedia: 0.0%Red Herring0.0%This article: 0.0%Wikipedia: 0.0%Bandwagon0.0%This article: 3.0%Wikipedia: 0.4%Appeal to Emotion3.0%This article: 10.5%Wikipedia: 4.8%Begging the Question10.5%This article: 5.0%Wikipedia: 0.7%Post Hoc (False Cause)5.0%This article: 0.0%Wikipedia: 0.0%Tu Quoque0.0%This article: 0.0%Wikipedia: 0.0%Burden of Proof0.0%This article: 0.0%Wikipedia: 0.0%Appeal to Nature0.0%This article: 0.0%Wikipedia: 0.0%Composition/Division0.0%This article: 5.4%Wikipedia: 0.8%Anecdotal5.4%This article: 0.0%Wikipedia: 0.0%No True Scotsman0.0%This article: 0.0%Wikipedia: 0.2%Ambiguity (Equivocation)0.0%This article: 0.0%Wikipedia: 0.0%Gambler’s Fallacy0.0%This article: 7.4%Wikipedia: 3.1%Middle Ground7.4%This article: 0.0%Wikipedia: 0.0%Personal Incredulity0.0%This article: 6.4%Wikipedia: 1.0%Special Pleading6.4%This article: 0.0%Wikipedia: 1.6%Genetic Fallacy0.0%This article: 0.0%Wikipedia: 0.8%Unattributed Quote0.0%This article: 2.6%Wikipedia: 1.4%Quote-first Misdirection2.6%This article: 12.0%Wikipedia: 3.1%Biased Writer Voice12.0%This article: 3.0%Wikipedia: 0.4%Indoctrination3.0%This article: 0.0%Wikipedia: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Wikipedia: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Wikipedia: 0.0%Attempt to Sell a Product or S…0.0%

802 words analyzed.

Speakers

3speakers12%attributed speech702writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 2 words • 0.0% coverageWriter's voice • 27 words • 100.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 24 words • 100.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 43 words • 0.0% coverageWriter's voice • 40 words • 0.0% coverageWriter's voice • 51 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 54 words • 0.0% coverageWriter's voice • 36 words • 0.0% coverageWriter's voice • 40 words • 0.0% coverageDirk Steffens • 36 words • 0.0% coverageLiz Spayd • 21 words • 100.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 46 words • 100.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 43 words • 0.0% coverageWriter's voice • 37 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 35 words • 0.0% coverageBMC Public Health • 43 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverage
Selected voice

Liz Spayd

100%flagged-word coverage
21 attributed words21% of attributed speech93% writer coverage
0%50.0%100.0%Quote-first Misdirection+100.0 ptsWriter: 0.0%Liz Spayd: 100.0%100.0%Biased Writer Voice-13.7 ptsWriter: 13.7%Liz Spayd: 0.0%0.0%Indoctrination-3.4 ptsWriter: 3.4%Liz Spayd: 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.