<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>arcanus</author><text>^ this.&lt;p&gt;I cannot describe how many times I&amp;#x27;ve been shown results and when asking how to reproduce them, after several notes (and sometimes complaints to higher ups) I eventually get a series of command line arguments or a barely functioning R-script.&lt;p&gt;These conclusions are too important to be so sloppily produced. We need verification, validation and uncertainty quantification for any result provided to decision makers.</text><parent_chain><item><author>minimaxir</author><text>It&amp;#x27;s worth nothing that the article does not discuss the &lt;i&gt;reproducibility&lt;/i&gt; of results (e.g. with a Jupyter Notebook) and the implementation of said results (e.g. deploying&amp;#x2F;validating models), both of which matter &lt;i&gt;much&lt;/i&gt; more than any code style conventions for data-related projects.</text></item></parent_chain></comment><story><title>Data science tips and tricks from the developer community</title><url>https://blog.algorithmia.com/becoming-a-10x-data-scientist/</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>QuercusMax</author><text>This 100%. I have read postmortems of some &amp;quot;significant discoveries&amp;quot; which have turned out to only be reproducible on a particular build or software on a single analyst&amp;#x27;s machine. Or not at all. One &amp;quot;result&amp;quot; turned out to hinge on the iteration order of python dictionaries.&lt;p&gt;And this definitely didn&amp;#x27;t happen after those working on tools to help said analysts make reproducible results encouraged the analysts to use said tools... No, that would be crazy.</text><parent_chain><item><author>minimaxir</author><text>It&amp;#x27;s worth nothing that the article does not discuss the &lt;i&gt;reproducibility&lt;/i&gt; of results (e.g. with a Jupyter Notebook) and the implementation of said results (e.g. deploying&amp;#x2F;validating models), both of which matter &lt;i&gt;much&lt;/i&gt; more than any code style conventions for data-related projects.</text></item></parent_chain></comment><story><title>Data science tips and tricks from the developer community</title><url>https://blog.algorithmia.com/becoming-a-10x-data-scientist/</url></story>