<|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 2018-12-31 23:00:01, SkyNews from company sky tweeted. The tweet was "This footage showing how London police units tackle moped-related crime was one of our highest performing videos of 2018 <hyperlink>". The most similar tweets were, 
1. On 2018-11-26 11:50:00, Independent handle of company independent tweeted. The tweet was "Police in London now have permission to ram moped thieves off the road <hyperlink>". This tweet got 845 number of likes. 
2. On 2018-03-01 19:30:01, MetroUK handle of company metro tweeted. The tweet was "These police officers were caught enjoying a snowball fight in a London car park 😂😂 <hyperlink>". This tweet got 204 number of likes. 
3. On 2020-02-03 17:18:46, cnnbrk handle of company cnn tweeted. The tweet was "Police evacuate a number of streets in central London after the discovery of an unexploded World War II bomb <hyperlink> <hyperlink>". This tweet got 935 number of 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
