<|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 2020-01-21 00:00:07, AMCTheatres from company amc tweeted. The tweet was "Don’t always trust what you see. Get your #TurningMovie tickets today and be the first to see it in theaters January 24! 🎟: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-01-21 20:00:12, AMCTheatres handle of company amc tweeted. The tweet was "It’s what nightmares are made of. Get your #TurningMovie tickets today and be the first to see it in theatres this weekend: <hyperlink> <hyperlink>". This tweet got 16 number of likes. 
2. On 2020-01-10 21:00:13, AMCTheatres handle of company amc tweeted. The tweet was "It’s what nightmares are made of. Get your #TurningMovie tickets today and be the first to see it in theatres January 27: <hyperlink> <hyperlink>". This tweet got 68 number of likes. 
3. On 2020-01-29 16:47:27, AMCTheatres handle of company amc tweeted. The tweet was "Watch the new trailer for #ThePhotographMovie now and make plans to see it in theaters this #ValentinesDay at AMC! 💛

Ticket Reminder: <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
24<|im_end|>
