Osaka trumps Tokyo as both ranked among world’s top 10 most livable cities 34%

By Elizabeth Beattie0%

7/7/2026, 4:00:00 AM

BS Summary: This article contains 14 faulty reasoning types, including Ambiguity (Equivocation), Hasty Generalization, and Confirmation Bias, with Post Hoc (False Cause) as the most egregious example at 60.6% saturation with 258 hits. Analysis detected 862 faulty-reasoning hits from 426 analyzed words, generating a BS Score of 42.1% and a BS Rank of 34% (14,476 of 21,886 articles). This article is better (less manipulative) than 66.10% of the article peer group.

Osaka has once again finished above Tokyo in the Economist Intelligence Unit’s (EIU) latest Global Liveability Index, released on Tuesday. 
The annual index, which assesses 173 cities based on 30 indicators, scores cities across five major categories: healthcare, stability, culture and environment, education and infrastructure. 
Osaka remained in seventh place in the index, while Tokyo, which improved its culture and environment score, moved up three places from its previous ranking into 10th place. 
In most categories, the two Japanese cities were evenly pegged, but Osaka’s infrastructure earned higher marks than Tokyo’s. 
While both cities have “excellent services, excellent quality of life,” according to Akshay Rathi, senior data analyst and head of livability for EIU, Osaka’s position came down to accessibility. 
“We do not just assess livability by the availability of things, we assess this by  the quality of services delivered to the people,” he said, noting that larger cities may possess more hospitals, but this could still mean longer wait times and shorter appointments, leading to an overall lower quality of healthcare. 
Availability of high quality housing also supported Osaka in outranking Tokyo, he said. 
But “Tokyo does have a little bit of an edge in terms of its culture and environment,” Rathi said. 
At the top end of the index, Copenhagen retained its position as world’s most livable city, scoring full marks in a number of categories, followed by Vienna and Melbourne. 
Asia was “the most improved region this year,” according to a release by the EIU. 
Rathi noted that Asia possesses a number of “developing” cities, which have been continuously investing in their public infrastructure, giving them room to make gains in the index. 
“Now, the benefits of (that investment) have started showing,” he said, noting this was particularly pronounced in the quality of healthcare available in Chinese cities  all 19 cities ranked in the index improved their healthcare scores. 
“However, culture and environment scores in most Chinese cities remain low, owing to restrictions on political freedoms, limiting further gains in their rankings,” the index said. 
Similarly, the scores of Singapore and Hong Kong, in 26th and 44th place, respectively, remained unchanged due to a “bottleneck in culture and environment due to strictly curtailed political freedoms,” the release said. 
But there were declines, too, with this particularly visible in the Middle East as a result of the Iran war, with 18 cities in the Middle East and North Africa region dropping by an average of more than three places. 
Article reasoning-pattern comparisonThis article: 15.5%Elizabeth Beattie: 2.2%The Japan Times: 3.5%Confirmation Bias15.5%This article: 0.0%Elizabeth Beattie: 1.0%The Japan Times: 1.9%Anchoring Bias0.0%This article: 8.7%Elizabeth Beattie: 5.1%The Japan Times: 4.7%Availability Heuristic8.7%This article: 6.6%Elizabeth Beattie: 2.2%The Japan Times: 1.3%Representativeness Heuristic6.6%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.6%Hindsight Bias0.0%This article: 0.0%Elizabeth Beattie: 1.4%The Japan Times: 2.0%Overconfidence Bias0.0%This article: 3.1%Elizabeth Beattie: 7.4%The Japan Times: 14.4%Framing Effect3.1%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.9%Loss Aversion0.0%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 1.3%Status Quo Bias0.0%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.2%Sunk Cost Effect0.0%This article: 0.0%Elizabeth Beattie: 3.8%The Japan Times: 4.7%Optimism Bias0.0%This article: 0.0%Elizabeth Beattie: 1.6%The Japan Times: 3.3%Pessimism Bias0.0%This article: 9.4%Elizabeth Beattie: 7.7%The Japan Times: 11.6%Negativity Bias9.4%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.8%Self-Serving Bias0.0%This article: 13.8%Elizabeth Beattie: 1.4%The Japan Times: 0.8%Fundamental Attribution Error13.8%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.2%Actor-Observer Bias0.0%This article: 0.0%Elizabeth Beattie: 2.1%The Japan Times: 1.0%In-Group Bias0.0%This article: 0.0%Elizabeth Beattie: 0.4%The Japan Times: 0.8%Out-Group Homogeneity Bias0.0%This article: 14.1%Elizabeth Beattie: 5.1%The Japan Times: 1.5%Halo Effect14.1%This article: 0.0%Elizabeth Beattie: 0.7%The Japan Times: 0.1%Horn Effect0.0%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.0%Dunning-Kruger Effect0.0%This article: 8.2%Elizabeth Beattie: 1.1%The Japan Times: 2.2%Recency Bias8.2%This article: 0.0%Elizabeth Beattie: 0.6%The Japan Times: 0.9%Primacy Effect0.0%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.0%Blind-Spot Bias0.0%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.2%Ad Hominem0.0%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.1%Straw Man0.0%This article: 0.0%Elizabeth Beattie: 5.4%The Japan Times: 5.5%Appeal to Authority0.0%This article: 6.8%Elizabeth Beattie: 0.8%The Japan Times: 1.7%False Dilemma6.8%This article: 9.4%Elizabeth Beattie: 1.2%The Japan Times: 1.0%Slippery Slope9.4%This article: 0.0%Elizabeth Beattie: 0.3%The Japan Times: 0.2%Circular Reasoning0.0%This article: 18.1%Elizabeth Beattie: 9.6%The Japan Times: 4.5%Hasty Generalization18.1%This article: 0.0%Elizabeth Beattie: 0.5%The Japan Times: 0.3%Red Herring0.0%This article: 0.0%Elizabeth Beattie: 0.6%The Japan Times: 0.6%Bandwagon0.0%This article: 0.0%Elizabeth Beattie: 6.4%The Japan Times: 3.6%Appeal to Emotion0.0%This article: 0.0%Elizabeth Beattie: 0.3%The Japan Times: 0.9%Begging the Question0.0%This article: 60.6%Elizabeth Beattie: 6.4%The Japan Times: 4.2%Post Hoc (False Cause)60.6%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.1%Tu Quoque0.0%This article: 0.0%Elizabeth Beattie: 0.4%The Japan Times: 0.5%Burden of Proof0.0%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.1%Appeal to Nature0.0%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.2%Composition/Division0.0%This article: 0.0%Elizabeth Beattie: 1.3%The Japan Times: 1.1%Anecdotal0.0%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.0%No True Scotsman0.0%This article: 23.7%Elizabeth Beattie: 3.0%The Japan Times: 3.0%Ambiguity (Equivocation)23.7%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.0%Gambler’s Fallacy0.0%This article: 4.5%Elizabeth Beattie: 0.3%The Japan Times: 0.1%Middle Ground4.5%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.0%Personal Incredulity0.0%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.1%Special Pleading0.0%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.0%Genetic Fallacy0.0%This article: 0.0%Elizabeth Beattie: 2.1%The Japan Times: 4.6%Unattributed Quote0.0%This article: 0.0%Elizabeth Beattie: 0.9%The Japan Times: 1.8%Quote-first Misdirection0.0%This article: 0.0%Elizabeth Beattie: 2.5%The Japan Times: 9.0%Biased Writer Voice0.0%This article: 0.0%Elizabeth Beattie: 1.2%The Japan Times: 1.6%Indoctrination0.0%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.6%Politically Left Leaning Bias0.0%This article: 0.0%Elizabeth Beattie: 0.0%The Japan Times: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Elizabeth Beattie: 1.4%The Japan Times: 0.5%Attempt to Sell a Product or S…0.0%

426 words analyzed.

Speakers

2speakers46%attributed speech232writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 13 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageAkshay Rathi • 29 words • 0.0% coverageAkshay Rathi • 53 words • 0.0% coverageAkshay Rathi • 13 words • 0.0% coverageAkshay Rathi • 19 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageEconomist Intelligence Unit (EIU) • 15 words • 0.0% coverageAkshay Rathi • 28 words • 0.0% coverageAkshay Rathi • 37 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 40 words • 0.0% coverage
Selected voice

Akshay Rathi

100%flagged-word coverage
179 attributed words92% of attributed speech89% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

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.