<|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 2018-11-10 08:06:41, BBCNewsNI from company bbc tweeted. The tweet was "A new documentary examines the legacy of air ambulance campaigner John Hinds: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-10-01 13:30:00, CNN handle of company cnn tweeted. The tweet was "An ambulance service in the UK's Lake District has tested a new jet suit that could help "save lives." <hyperlink> <hyperlink>". This tweet got 1493 number of likes. 
2. On 2020-10-05 00:45:12, CNN handle of company cnn tweeted. The tweet was "An ambulance service in the UK's Lake District has tested a new jet suit that could help "save lives." <hyperlink> <hyperlink>". This tweet got 1683 number of likes. 
3. On 2020-10-24 08:31:08, CNN handle of company cnn tweeted. The tweet was "An ambulance service in the UK's Lake District has tested a new jet suit that could help "save lives." <hyperlink> <hyperlink>". This tweet got 1479 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
