<|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 2020-07-05 07:30:00, AMCtvUK from company amc tweeted. The tweet was "When you see how full the pubs are and head straight back home... <hyperlink>". The most similar tweets were, 
1. On 2019-03-15 08:45:00, AMCtvUK handle of company amc tweeted. The tweet was "Just a few more minutes...please? 😴 #WorldSleepDay <hyperlink>". This tweet got 2 number of likes. 
2. On 2020-09-29 17:00:00, AMCtvUK handle of company amc tweeted. The tweet was "#FTWD | Season 6 | Premiers 12th October 9pm! <hyperlink>". This tweet got 4 number of likes. 
3. On 2020-07-09 18:23:39, AMCtvUK handle of company amc tweeted. The tweet was "Next Holiday in....2031? <hyperlink>". This tweet got 83 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
2<|im_end|>
