<|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 2020-06-10 16:30:00, AMCtvUK from company amc tweeted. The tweet was "As the gang, individually reflect on their experiences, Peter and Simone go on their first date 💖  Dispatches from Elsewhere | Tonight @ 9pm <hyperlink>". The most similar tweets were, 
1. On 2018-02-16 18:45:17, AMCTheatres handle of company amc tweeted. The tweet was "#PeterRabbitMovie is a fun adventure for the whole family! Hear from the cast &amp; get tix now: <hyperlink> <hyperlink>". This tweet got 23 number of likes. 
2. On 2020-08-19 17:00:00, AMCtvUK handle of company amc tweeted. The tweet was "The Terminal Islanders return home, to find that things have dramatically changed in <mention> | Tonight @ 9pm! <hyperlink>". This tweet got 0 number of likes. 
3. On 2018-02-18 20:30:01, AMCTheatres handle of company amc tweeted. The tweet was "From the pages to the big screen, #PeterRabbitMovie is now playing! Get tix: <hyperlink> <hyperlink>". This tweet got 25 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
0<|im_end|>
