<|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 2019-07-10 07:30:00, AMCtvUK from company amc tweeted. The tweet was "It's either allergy season or something darker is coming... or maybe both | #NOS4A2 Coming Soon <hyperlink>". The most similar tweets were, 
1. On 2020-03-26 18:00:00, AMCtvUK handle of company amc tweeted. The tweet was "#TBT to the levels of hay fever I experienced last summer 🙅🌸 <hyperlink>". This tweet got 1 number of likes. 
2. On 2019-08-31 13:00:01, AMCtvUK handle of company amc tweeted. The tweet was "Your weekly gander behind the screams at #NOS4A2 <hyperlink>". This tweet got 0 number of likes. 
3. 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 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
9<|im_end|>
