<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>montalbano</author><text>&lt;i&gt;Exxon is currently pushing misleading ads embeded in @nytimes articles about #ExxonKnew:&lt;/i&gt;&lt;p&gt;&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;twitter.com&amp;#x2F;JoanieLemercier&amp;#x2F;status&amp;#x2F;1187735547760041984&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;twitter.com&amp;#x2F;JoanieLemercier&amp;#x2F;status&amp;#x2F;11877355477600419...&lt;/a&gt;&lt;p&gt;From above thread.</text><parent_chain></parent_chain></comment><story><title>Exxon accurately predicted 2019&apos;s climate change and CO2 emission in 1982</title><url>https://twitter.com/Independent/status/1187719206562910209</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>Yuval_Halevi</author><text>loved this comment (saw it on twitter):&lt;p&gt;Well, the scientists seemed not very grilled at all, they seemed eager to share their opinions. It&amp;#x27;s not the scientists fault executives tend to not listen to what the data says in favor of profits.&lt;p&gt;Boeing is another company that comes to mind.</text><parent_chain></parent_chain></comment><story><title>Exxon accurately predicted 2019&apos;s climate change and CO2 emission in 1982</title><url>https://twitter.com/Independent/status/1187719206562910209</url></story>