<|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 2019-08-17 11:30:00, AMCtvUK from company amc tweeted. The tweet was "A little look behind the screams of #NOS4A2 😊 | New episode arrives Tuesday at 9pm <hyperlink>". The most similar tweets were, 
1. On 2019-08-23 13:30:00, AMCtvUK handle of company amc tweeted. The tweet was "There's been a hell of a lot of buzz around #NOS4A2 and the latest episode repeats tonight | See what all the fuss is about at 10pm...

Spoiler: It doesn't end well for the cat 🐈 <hyperlink>". This tweet got 1 number of likes. 
2. On 2020-07-06 17:00:01, AMCtvUK handle of company amc tweeted. The tweet was "Season 2 is here! As a brand new episode of NOS4A2 kicks off tomorrow@ 21:00 <hyperlink>". This tweet got 4 number of likes. 
3. On 2019-08-26 17:34:00, AMCtvUK handle of company amc tweeted. The tweet was "Thumbs up if you are watching #NOS4A2 tomorrow 👍 <hyperlink>". This tweet got 3 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
8<|im_end|>
