<|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 2018-09-10 23:30:00, AMCTheatres from company amc tweeted. The tweet was "Don't miss the incredible true story of #OperationFinale on the big screen! Get tix now: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-08-31 21:30:00, AMCTheatres handle of company amc tweeted. The tweet was "#OperationFinale is an emotional thriller. Watch our interview with the cast &amp; get weekend tix now: <hyperlink> <hyperlink>". This tweet got 20 number of likes. 
2. On 2019-04-05 01:12:09, AMCTheatres handle of company amc tweeted. The tweet was "Chill with these two this weekend at AMC. Get tix to see #TheBeachBum now: <hyperlink> <hyperlink>". This tweet got 14 number of likes. 
3. On 2020-12-05 22:00:00, AMCTheatres handle of company amc tweeted. The tweet was "The world of the <mention> is bigger and brighter than ever! ✨ Experience #CroodsNewAge on the big screen today at #AMCTheatres. Get Tix: <hyperlink> <hyperlink>". This tweet got 16 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
24<|im_end|>
