<|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 2018-12-28 06:37:48, BBCWorld from company bbc tweeted. The tweet was "There's something strange, in our neighbourhood... 

Electric blue skies over New York - and a flurry of speculation on social media <hyperlink> 

[Tap to expand]

<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-06-16 14:45:00, Independent handle of company independent tweeted. The tweet was "Blue neon meteor flashes across the night sky in Australia <hyperlink>". This tweet got 91 number of likes. 
2. On 2019-08-15 15:30:39, CBCNews handle of company cbc tweeted. The tweet was "This is what a neighbourhood in London, Ont., looks like this morning after seven homes were destroyed in a gas explosion. <hyperlink> <hyperlink>". This tweet got 52 number of likes. 
3. On 2020-04-23 14:30:00, Independent handle of company independent tweeted. The tweet was "Drop in UK air pollution reveals incredible night skies <hyperlink>". This tweet got 441 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
