When the System Works but the Data Lies: Notes on Survivorship Bias in Large-Scale ML Pipelines
好的，我现在要帮用户总结一篇文章的内容，控制在100字以内。首先，我需要仔细阅读用户提供的文章内容。看起来这篇文章是关于一个软件工程师Jeet Mehta在Netflix的工作经历，他专注于构建能够处理极端负载的后端系统。 接下来，我要提取文章的核心信息。文章主要讲述了他在2025年12月1日的经历，以及他在构建稳定高效系统方面的专业能力。同时，文章还提到了他的职业背景和相关评论。 现在，我需要将这些信息浓缩到100字以内。要注意不要使用“文章内容总结”或“这篇文章”这样的开头，直接描述即可。因此，我可以这样组织语言：“Jeet Mehta分享了他在Netflix构建稳定高效后端系统的经验，专注于处理极端负载场景，并探讨了故事的可信度。” 最后，检查一下字数是否符合要求，并确保内容准确传达了原文的核心要点。 </think> Jeet Mehta分享了他在Netflix构建稳定高效后端系统的经验，专注于处理极端负载场景，并探讨了故事的可信度。 2025-12-1 18:34:13 Author: hackernoon.com(查看原文) 阅读量:1 收藏

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byJeet Mehta@jeetmehta

I build for the burst. My world is backend systems that stay stable and efficient under extreme load.

December 1st, 2025

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Jeet Mehta

byJeet Mehta@jeetmehta

    byJeet Mehta@jeetmehta

    I build for the burst. My world is backend systems that stay stable and efficient under extreme load.

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Jeet Mehta

    byJeet Mehta@jeetmehta

    I build for the burst. My world is backend systems that stay stable and efficient under extreme load.

    Story's Credibility

    Original Reporting

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Software Engineer @Netflix

I build for the burst. My world is backend systems that stay stable and efficient under extreme load.

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文章来源: https://hackernoon.com/when-the-system-works-but-the-data-lies-notes-on-survivorship-bias-in-large-scale-ml-pipelines?source=rss
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