川普解雇劳工统计局长，与中国数据造假如出一辙（观点，中英对照）

当经济数据不好看时，一个负责任的领导人该怎么做？调查原因？解释背景？还是，解雇负责人？

When job numbers don’t look good, what should a responsible leader do? Investigate the data? Explain the context? Or fire the person in charge?

川普选择了第三种。

Donald Trump chose the third.

上周五，他突然解雇了美国劳工统计局（BLS）局长埃丽卡·麦肯塔弗，指控她“操控”就业数据让他难堪——却未提供任何证据。这起风波源于一份令人震惊的就业报告：7月新增岗位仅为73,000个，而5月的数据被大幅下修，从12.5万个下调至仅1.9万个，几乎缩水十倍。

Last Friday, he abruptly fired Erika McEntarfer, the director of the U.S. Bureau of Labor Statistics (BLS), accusing her — without any evidence — of manipulating the numbers to make him look bad. This was after the July jobs report showed only 73,000 new jobs and revised May’s gains down from 125,000 to a mere 19,000 — a jaw-dropping gap.

这一数据差距的确令人震惊。但正因如此，我们才更需要一个独立、透明、专业的数据机构来澄清事实，而不是替政治人物粉饰太平。

The scale of the revision is undeniably alarming. But that’s exactly why an independent, transparent, and technically rigorous statistical agency like the BLS is so essential. Their job is to reflect reality, not please presidents.

然而，川普的做法却是直接将矛头对准数据本身。他公开表示，这些数字是“被操控的”，并称要换掉这位由拜登提名的局长。这种“我行我素”的举动，不禁让人联想到统计数据经常遭质疑的中国。

Yet by firing McEntarfer and accusing the BLS of political bias, Trump is sending a chilling message: if the data doesn’t flatter me, it must be fake. This is not how democracy works. It’s how authoritarian regimes operate.

中国政府长期以来都被批评“美化数据”。早在上世纪五十年代“大跃进”时期，地方官员就谎报粮食产量以迎合上级，导致中央出台错误政策，最终酿成了三年“大饥荒”——这是人类历史上最惨烈的人为灾难之一。即便数千万人饿死，官方仍继续宣称“粮食大丰收”

Take China, for example. For decades, the Chinese government has treated economic statistics like propaganda. During the Great Leap Forward in the late 1950s, officials reported wildly inflated grain production numbers to meet political expectations, triggering disastrous central policies that led directly to the Great Famine — one of the deadliest man-made catastrophes in history. Even as tens of millions starved to death, official reports continued to claim record harvests.

这种对数据的歪曲并未随时代结束。时至今日，中国的GDP增长常常“精准达标”，失业率则始终保持稳定，仿佛经济风暴从未发生。地方官员比拼的不是事实，而是迎合政治压力下的“漂亮数字”。结果是：官方数据与民间真实生活之间的鸿沟越来越大，公信力严重受损。

That pattern of data distortion didn’t end there. In modern times, GDP targets are met like magic. Unemployment rarely budges, no matter how turbulent the economy is. Local officials compete not on truth, but on performance metrics shaped by political pressure. The result? A growing credibility gap between China’s official numbers and the realities on the ground.

而美国则曾被视为“事实至上”的民主制度的典范国度，劳工统计局中的大多数工作人员是资深公务员，不受政客干预。然而川普的这次解雇行为，却彻底摧毁了保护数据独立性的屏障。如果美国人不再相信就业数据、不再信任通胀与经济增长数字，那么政策将建立在虚构的基础之上，而远远脱离现实。

The U.S. system was supposed to be different. Data was produced by career civil servants, protected from partisan pressure. But Trump’s firing of McEntarfer has now cracked that wall — possibly fatally. If Americans stop trusting their labor numbers, inflation data, or growth estimates, policymaking will be based on fiction, not facts.

很多人或许会说：“川普就是川普，他一向如此。”但这不能成为我们对此等而是之的理由。此举是对美国民主制度独立性的严峻考验。如果数据机构能被川普一条社交媒体贴文左右，那么下一个遭殃的会是谁？央行的利率决策？选举的计票过程？

It’s tempting to dismiss this as just Trump being Trump. But we must not. This is a test for U.S. democratic institutions. If the independence of data can be erased with a Truth Social post, what’s next? Interest rate decisions? Election counts?

这场危机不仅是美国的，也是全世界的。包括加拿大在内的许多民主国家都依赖美国的数据做出政策判断。如果“数据”也被政治染指，所有人都将为此付出代价。

The danger isn’t just for America. Democracies around the world, including Canada, rely on unbiased U.S. data to make policy decisions. When truth becomes politicized, everyone loses.