A new age of missiles reshapes battlefields around the world ⁠75%

By No Author⁠62%

8/1/2026, 12:26:00 AM

BS Summary: This article contains 17 faulty reasoning types, including Negativity Bias, Availability Heuristic, and Post Hoc (False Cause), with Biased Writer Voice as the most egregious example at 81.3% saturation with 122 hits. Analysis detected 572 faulty-reasoning hits from 150 analyzed words, generating a BS Score of 59.2% and a BS Rank of ⁠75% (7,392 of 28,846 articles). This article is worse (more manipulative) than 74.40% of the article peer group.

The world is on the cusp of a third missile age, with conventional ballistic weapons proliferating at unprecedented speed in the wake of widespread, battlefield-warping deployment in Iran and Ukraine. 
Those two wars have seen the use of thousands of air- and surface-launched ballistic missiles. 
Iran alone has fired about 2,000 since that conflict began on the last day of February, causing massive damage throughout the region and eroding stockpiles of hard-to-replace interceptors. 
Domestically produced Iranian ballistic missiles have altered the trajectory of the conflict, keeping Iran in the fight despite U.S. 
Defense Secretary Pete Hegseth saying in mid-March that Tehran’s military had been destroyed. 
Five months later, Iranian missiles continue to hit targets around the Gulf, including an attack on July 17 that killed U.S. troops, and then a wave of strikes overnight targeting American forces in the region. 
Article reasoning-pattern comparisonThis article: 0.0%No Author: 3.1%The Japan Times: 3.5%Confirmation Bias0.0%This article: 20.0%No Author: 1.6%The Japan Times: 1.9%Anchoring Bias20.0%This article: 38.7%No Author: 3.9%The Japan Times: 4.6%Availability Heuristic38.7%This article: 0.0%No Author: 1.1%The Japan Times: 1.3%Representativeness Heuristic0.0%This article: 32.0%No Author: 0.3%The Japan Times: 0.6%Hindsight Bias32.0%This article: 0.0%No Author: 1.6%The Japan Times: 1.9%Overconfidence Bias0.0%This article: 6.7%No Author: 10.0%The Japan Times: 13.4%Framing Effect6.7%This article: 0.0%No Author: 0.4%The Japan Times: 0.8%Loss Aversion0.0%This article: 0.0%No Author: 0.8%The Japan Times: 1.3%Status Quo Bias0.0%This article: 0.0%No Author: 0.1%The Japan Times: 0.2%Sunk Cost Effect0.0%This article: 6.7%No Author: 4.2%The Japan Times: 4.4%Optimism Bias6.7%This article: 8.7%No Author: 2.3%The Japan Times: 3.1%Pessimism Bias8.7%This article: 42.0%No Author: 9.3%The Japan Times: 11.2%Negativity Bias42.0%This article: 0.0%No Author: 0.9%The Japan Times: 0.8%Self-Serving Bias0.0%This article: 12.7%No Author: 0.7%The Japan Times: 0.9%Fundamental Attribution Error12.7%This article: 0.0%No Author: 0.3%The Japan Times: 0.2%Actor-Observer Bias0.0%This article: 0.0%No Author: 0.9%The Japan Times: 1.0%In-Group Bias0.0%This article: 0.0%No Author: 0.5%The Japan Times: 0.8%Out-Group Homogeneity Bias0.0%This article: 0.0%No Author: 1.6%The Japan Times: 1.4%Halo Effect0.0%This article: 0.0%No Author: 0.1%The Japan Times: 0.1%Horn Effect0.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.0%Dunning-Kruger Effect0.0%This article: 23.3%No Author: 1.8%The Japan Times: 2.1%Recency Bias23.3%This article: 0.0%No Author: 0.7%The Japan Times: 0.8%Primacy Effect0.0%This article: 0.0%No Author: 0.1%The Japan Times: 0.0%Blind-Spot Bias0.0%This article: 0.0%No Author: 0.2%The Japan Times: 0.2%Ad Hominem0.0%This article: 0.0%No Author: 0.1%The Japan Times: 0.1%Straw Man0.0%This article: 8.7%No Author: 4.2%The Japan Times: 5.2%Appeal to Authority8.7%This article: 0.0%No Author: 1.0%The Japan Times: 1.6%False Dilemma0.0%This article: 0.0%No Author: 0.5%The Japan Times: 0.9%Slippery Slope0.0%This article: 0.0%No Author: 0.2%The Japan Times: 0.2%Circular Reasoning0.0%This article: 20.0%No Author: 3.0%The Japan Times: 4.4%Hasty Generalization20.0%This article: 0.0%No Author: 0.2%The Japan Times: 0.2%Red Herring0.0%This article: 0.0%No Author: 0.7%The Japan Times: 0.6%Bandwagon0.0%This article: 0.0%No Author: 3.3%The Japan Times: 3.4%Appeal to Emotion0.0%This article: 0.0%No Author: 0.6%The Japan Times: 0.9%Begging the Question0.0%This article: 36.0%No Author: 3.1%The Japan Times: 4.0%Post Hoc (False Cause)36.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.1%Tu Quoque0.0%This article: 0.0%No Author: 0.5%The Japan Times: 0.5%Burden of Proof0.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.1%Appeal to Nature0.0%This article: 0.0%No Author: 0.2%The Japan Times: 0.2%Composition/Division0.0%This article: 18.7%No Author: 0.7%The Japan Times: 1.1%Anecdotal18.7%This article: 0.0%No Author: 0.0%The Japan Times: 0.0%No True Scotsman0.0%This article: 8.7%No Author: 2.1%The Japan Times: 2.8%Ambiguity (Equivocation)8.7%This article: 0.0%No Author: 0.0%The Japan Times: 0.0%Gambler’s Fallacy0.0%This article: 0.0%No Author: 0.1%The Japan Times: 0.1%Middle Ground0.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.0%Personal Incredulity0.0%This article: 0.0%No Author: 0.1%The Japan Times: 0.1%Special Pleading0.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.0%Genetic Fallacy0.0%This article: 8.7%No Author: 5.1%The Japan Times: 4.5%Unattributed Quote8.7%This article: 8.7%No Author: 2.0%The Japan Times: 1.7%Quote-first Misdirection8.7%This article: 81.3%No Author: 5.9%The Japan Times: 8.5%Biased Writer Voice81.3%This article: 0.0%No Author: 1.2%The Japan Times: 1.5%Indoctrination0.0%This article: 0.0%No Author: 0.3%The Japan Times: 0.5%Politically Left Leaning Bias0.0%This article: 0.0%No Author: 0.2%The Japan Times: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%No Author: 0.3%The Japan Times: 0.5%Attempt to Sell a Product or S…0.0%

150 words analyzed.

Speakers

1speaker8.7%attributed speech137writer words
Selected voice

Pete Hegseth

100%flagged-word coverage
13 attributed words100% of attributed speech89% writer coverage
0%50.0%100.0%Unattributed Quote+100.0 ptsWriter: 0.0%Pete Hegseth: 100.0%100.0%Quote-first Misdirection+100.0 ptsWriter: 0.0%Pete Hegseth: 100.0%100.0%Biased Writer Voice-89.1 ptsWriter: 89.1%Pete Hegseth: 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.