English(EN) If it feels like the world is rejecting science and truth, here are five ways to fight back | Helen Pearson

如果感觉世界正在拒绝科学和真相，这里有五种方法可以反击 | Helen Pearson

作者 PulseAugur 编辑部 · [1 个来源] · 2026-04-28 10:20

作者认为，当前全球对科学和真相的拒绝并非新现象，而是朝着循证决策的长期运动中的一次挫折。她将此与“循证医学”历史上遇到的阻力进行了类比，并强调研究越来越多地为教育和减贫等领域提供信息。文章建议，通过理解这一历史背景并积极寻求证据，个人可以对抗错误信息的传播。 AI

影响通过强调证据而非未经证实的说法的重要性，鼓励批判性地评估信息，包括 AI 生成的内容。

排序理由这是一篇由署名作者发表的评论文章，讨论了与科学和证据相关的更广泛的社会趋势，并旁及提及了 AI。

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 这是一篇由署名作者发表的评论文章，讨论了与科学和证据相关的更广泛的社会趋势，并旁及提及了 AI。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: opinion, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: Low; Off-topic or adjacent — cluster remains reachable but doesn't surface in AI-industry rankings.
Story freshness: 141 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

The Guardian — AI TIER_1 English(EN) · Helen Pearson · 2026-04-28 10:20

如果感觉世界正在拒绝科学和真相，这里有五种反击方式 | Helen Pearson

<p>All of us can choose to consider facts, not vibes, in our next decision. One simple hack is go and look up some easily accessible peer-reviewed studies</p><ul><li><p>Helen Pearson is an editor for Nature and author of Beyond Belief: How Evidence Shows What Really Works</p></li…