<|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 2018-11-12 20:00:00, MetroUK from company metro tweeted. The tweet was "This bodybuilder injects dangerous chemicals to make his biceps bigger 😮 <hyperlink>". The most similar tweets were, 
1. On 2018-07-31 20:07:01, armnewsteam handle of company arm tweeted. The tweet was "Take a trip through the life adventures of this <mention> #scientist and member of the #ARM User Executive Committee | <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
2. On 2018-10-02 16:07:01, armnewsteam handle of company arm tweeted. The tweet was "Take a trip through the life adventures of this <mention> #scientist and member of the #ARM User Executive Committee | <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2018-02-16 20:37:02, armnewsteam handle of company arm tweeted. The tweet was "#BigData: ARM colleagues go south for #science | #GoAmazon | <hyperlink> <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
61<|im_end|>
