<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2019-09-04 22:39:09, CNNPolitics from company cnn tweeted. The tweet was "Andrew Yang wants the US economic scorecard to include environmental impacts #ClimateTownHall <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-11-23 19:13:22, cnnbrk handle of company cnn tweeted. The tweet was "A massive federal climate change report that was due next month is out today. It warns of devastating health and economic costs to the US. <hyperlink> <hyperlink>". This tweet got 21998 number of likes. 
2. On 2018-08-08 13:57:22, Siemens handle of company siemens tweeted. The tweet was "Is #climatechange only our governments' business? Find out how we invest into #climateprotection and work towards a net-zero carbon footprint by 2030. Because #climateaction is not only prudent - it's profitable: <hyperlink> <hyperlink>". This tweet got 58 number of likes. 
3. On 2020-06-18 03:32:08, CNNPolitics handle of company cnn tweeted. The tweet was "Pentagon warns China is exploiting the coronavirus pandemic to wage "economic warfare" on the US <hyperlink> <hyperlink>". This tweet got 696 number of likr likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
622<|im_end|>
