BS Summary: This article contains 18 faulty reasoning types, including Hasty Generalization, Negativity Bias, and Anchoring Bias, with Appeal to Authority as the most egregious example at 30.1% saturation with 124 hits. Analysis detected 695 faulty-reasoning hits from 412 analyzed words, generating a BS Score of 41.7% and a BS Rank of 47% (15,198 of 28,447 articles). This article is better (less manipulative) than 53.40% of the article peer group.

Data center construction is shifting toward rural America. 
At the same time, rural residents report greater concern than urban and suburban Americans about what those projects could mean for their electricity costs and farmland use. 
That’s according to a survey released June 26 by researchers at the University of Illinois and Purdue University. 
The survey of about 1,000 U.S. adults, conducted in February, found rural residents expressed the highest average level of concern overall. 
Their greatest concern was rising electricity costs, followed by the use of agricultural land for data centers and overuse of water. 
“Many unknowns remain about the full impacts associated with data center growth and expansion,” according to researchers. 
By 2030, the energy requirements for data centers are projected to more than double in Illinois and triple in Indiana, Michigan, Minnesota and Wisconsin, researchers added, citing the University of Virginia’s Weldon Cooper Center for Public Service. 
According to a separate April analysis of mapping data by the Pew Research Center, a major shift is underway. 
Nearly 90% of all existing data centers are in urban areas, but 67% of planned facilities are slated for rural communities and 39% are planned in counties without an existing data center. 
More than 1,500 data centers are in development nationwide, according to PRC. 
Virginia leads the way with 398 operating and 287 planned; Illinois is the top Midwest state with 139 operating and 123 planned, according to the April analysis. 
The nonpartisan thinktank reported that the Midwest has 419 planned data centers and 655 existing ones  a 64% increase from its current total. 
The South leads the way  with more than 750 planned data centers and 1,209 existing ones. 
The findings come as more data center proposals target rural communities, where local officials often have fewer resources to evaluate complex development agreements, U of I researchers pointed out. 
Large companies that operate AI-scale data centers “can bring specialized lawyers, engineers, and financial analysts” to structure these projects and decide on site locations. 
“By contrast, many rural communities have limited decision-making capacity due to budget and staffing constraints, and they often rely on volunteer mayors or part-time elected officials. 
Often, they are simply not equipped to make these informed decisions or to effectively negotiate with companies that own data centers,” researchers said. 
The post Data centers have moved into rural America. 
So have the concerns. appeared first on Investigate Midwest . 
Article reasoning-pattern comparisonThis article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 1.4%Confirmation Bias0.0%This article: 14.8%Lauren Cross: 3.7%Investigate Midwest: 1.7%Anchoring Bias14.8%This article: 5.1%Lauren Cross: 4.2%Investigate Midwest: 2.1%Availability Heuristic5.1%This article: 7.8%Lauren Cross: 1.9%Investigate Midwest: 1.2%Representativeness Heuristic7.8%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.2%Hindsight Bias0.0%This article: 5.8%Lauren Cross: 1.5%Investigate Midwest: 0.3%Overconfidence Bias5.8%This article: 3.4%Lauren Cross: 5.7%Investigate Midwest: 4.1%Framing Effect3.4%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.2%Loss Aversion0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.4%Status Quo Bias0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.1%Sunk Cost Effect0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.2%Optimism Bias0.0%This article: 4.1%Lauren Cross: 1.0%Investigate Midwest: 0.5%Pessimism Bias4.1%This article: 17.2%Lauren Cross: 12.0%Investigate Midwest: 9.6%Negativity Bias17.2%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.1%Self-Serving Bias0.0%This article: 7.0%Lauren Cross: 1.8%Investigate Midwest: 0.5%Fundamental Attribution Error7.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.0%Actor-Observer Bias0.0%This article: 6.3%Lauren Cross: 1.6%Investigate Midwest: 0.2%In-Group Bias6.3%This article: 0.0%Lauren Cross: 3.0%Investigate Midwest: 0.3%Out-Group Homogeneity Bias0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.2%Halo Effect0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.0%Horn Effect0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.1%Dunning-Kruger Effect0.0%This article: 8.7%Lauren Cross: 2.2%Investigate Midwest: 1.2%Recency Bias8.7%This article: 4.1%Lauren Cross: 1.0%Investigate Midwest: 0.2%Primacy Effect4.1%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.0%Blind-Spot Bias0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.2%Ad Hominem0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.2%Straw Man0.0%This article: 30.1%Lauren Cross: 7.5%Investigate Midwest: 1.2%Appeal to Authority30.1%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.8%False Dilemma0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.2%Slippery Slope0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.0%Circular Reasoning0.0%This article: 17.7%Lauren Cross: 12.1%Investigate Midwest: 3.3%Hasty Generalization17.7%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.1%Red Herring0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.0%Bandwagon0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 2.6%Appeal to Emotion0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.1%Begging the Question0.0%This article: 9.0%Lauren Cross: 2.2%Investigate Midwest: 1.4%Post Hoc (False Cause)9.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.3%Tu Quoque0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.6%Burden of Proof0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.0%Appeal to Nature0.0%This article: 7.8%Lauren Cross: 1.9%Investigate Midwest: 0.5%Composition/Division7.8%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 1.2%Anecdotal0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.0%No True Scotsman0.0%This article: 4.1%Lauren Cross: 1.0%Investigate Midwest: 1.5%Ambiguity (Equivocation)4.1%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.0%Middle Ground0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.0%Personal Incredulity0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.0%Special Pleading0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.0%Genetic Fallacy0.0%This article: 10.0%Lauren Cross: 5.1%Investigate Midwest: 1.5%Unattributed Quote10.0%This article: 0.0%Lauren Cross: 3.2%Investigate Midwest: 1.2%Quote-first Misdirection0.0%This article: 5.6%Lauren Cross: 1.4%Investigate Midwest: 2.7%Biased Writer Voice5.6%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.5%Indoctrination0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 1.6%Politically Left Leaning Bias0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 0.4%Politically Right Leaning Bias0.0%This article: 0.0%Lauren Cross: 0.0%Investigate Midwest: 1.1%Attempt to Sell a Product or S…0.0%

412 words analyzed.

Speakers

5speakers45%attributed speech228writer words
37 attributed words20% of attributed speech80% writer coverage
0%7.5%15.0%Unattributed Quote-10.5 ptsWriter: 10.5%University of Virginia’s Weldon Cooper Center for Public Service: 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.