<|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 2020-10-01 11:00:10, bbcweather from company bbc tweeted. The tweet was "Thanks for your great #harvestmoon pics from last night!

There’s a 2nd full moon this month; an unusual event, it only happens once in a … well you know the rest! <hyperlink>". The most similar tweets were, 
1. On 2018-06-26 23:01:54, GettyImagesNews handle of company getty images tweeted. The tweet was "The full moon rises behind a wildfire raging in Stalybridge, England 📷: <mention> <hyperlink>". This tweet got 539 number of likes. 
2. On 2018-06-30 03:00:13, GettyImages handle of company getty images tweeted. The tweet was "Incredible photos of the first full moon of the summer: <hyperlink> <hyperlink>". This tweet got 222 number of likes. 
3. On 2018-07-21 21:34:19, GettyImages handle of company getty images tweeted. The tweet was "Incredible photos of the first full moon of the summer: <hyperlink> <hyperlink>". This tweet got 194 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
