于是，我仔细地翻阅每个吐槽帖下评论区里其他网友的回复。有当地人激情反驳，“是游客让城市交通变得混乱”“是外来的商贩黑心”“不做攻略怪谁”，义愤填膺的护短往往会惹来更多游客的争论不休，反驳的效果适得其反，让游客更加反感；也有人以真诚打败戾气，他们客气地表示遗憾，并真挚地给出适当的游玩建议，真诚的分享让吐槽的网友也只能讪讪地回一句，“谢谢，下次试试”，纷争结束；当然也有能在乱象中发现点滴美好并无限放大的游客，分享着自己发现的美好，并试图拉近吐槽者和当地人的距离；还有其他城市的网友也在无奈回应自己的家乡也一直被吐槽着，已无力回应，每个城市都不可能尽善尽美满足所有游客需求，不必过于在意。
FirstFT: the day's biggest stories，这一点在同城约会中也有详细论述
Turbulence is rarely that simple. It’s too scattered, too mercurial, too easily triggered by weather patterns that trigger other patterns in an endless cascade. “It’s not just one thing that’s going on,” Bob Sharman, an atmospheric scientist at NCAR, told me. “It’s not just atmospheric convection. It’s not just wind flowing over mountains. It’s everything going on all the time and interacting.” Sharman is one of the country’s preëminent authorities on turbulence prediction. The computer models that he has built can predict where rough air is most likely to arise. “The problem is,” he said, “when we go to meetings with the airline industry and suggest a probabilistic approach, a pilot will stand up and say, ‘No! I want you to tell me if there will be turbulence at this place, at this time.’ ” Sharman threw up his hands. “Nobody knows that. I understand that, in theory, you would want that. But, in practice, that is just not possible.”，更多细节参见搜狗输入法2026
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