<|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 2018-11-07 12:51:04, KFCBarstool from company kfc tweeted. The tweet was "Real life text message sent to the <mention> group text from <mention>. If you listen closely, you can hear <mention>’s head exploding <hyperlink>". The most similar tweets were, 
1. On 2018-12-20 23:09:02, MakeAWishMNY handle of company metro tweeted. The tweet was "The <mention> is lit for <mention> and <mention>! Thanks for all your help, <mention>! <hyperlink>". This tweet got 62 number of likes. 
2. On 2018-09-10 10:15:33, cameronesposito handle of company cameron tweeted. The tweet was "It’s <mention> on <mention>!! Such a beautiful convo. <hyperlink> <hyperlink>". This tweet got 983 number of likes. 
3. On 2019-09-17 14:34:11, hkfp handle of company free tweeted. The tweet was "<mention> <mention> Part 2 of 2: <mention> at the <mention> hearing: <hyperlink> <hyperlink>". This tweet got 46 number of 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
