People who believe they contribute to society are more likely to vote and engage in politics. They were also more likely to donate to and volunteer for political causes compared to individuals who saw their contribution to society as smaller.

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This does not mean confusables.txt is wrong. It means confusables.txt is a visual-similarity claim that has never been empirically validated at scale. Many entries map characters to the same abstract target under NFKC decomposition (mathematical bold A to A, for instance), and the mapping is semantically correct even if the glyphs look nothing alike. But if you treat every confusables.txt entry as equally dangerous for UI security, you are generating massive false positive rates for 96.5% of the dataset.

（三）扰乱公共汽车、电车、城市轨道交通车辆、火车、船舶、航空器或者其他公共交通工具上的秩序的；

say experts。关于这个话题，safew官方版本下载提供了深入分析

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