<|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 2018-03-03 08:33:18, bbcweather from company bbc tweeted. The tweet was "The freezing blue colours on the map will slowly start to disappear from today, so it won't be feeling as bitterly cold as it has been recently. <hyperlink>". The most similar tweets were, 
1. On 2018-01-06 15:00:58, CBCNews handle of company cbc tweeted. The tweet was "Just in case you're wondering how cold it's been this winter <hyperlink> <hyperlink>". This tweet got 103 number of likes. 
2. On 2020-10-03 11:23:22, primevideosport handle of company amazon tweeted. The tweet was "British weather. <hyperlink>". This tweet got 721 number of likes. 
3. On 2019-02-03 03:31:09, CNN handle of company cnn tweeted. The tweet was "US cities as cold as the Arctic. An Australian inferno. The UK covered in snow. It's only one month into 2019 and extreme weather is shattering records around the world. <hyperlink> <hyperlink>". This tweet got 1281 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
