<|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 2020-12-24 09:51:27, BBCNewsNI from company bbc tweeted. The tweet was "Sub-zero temperatures and deep snow - do you remember the "big freeze" of 2010? <hyperlink>". The most similar tweets were, 
1. On 2018-01-18 13:40:02, GettyImagesNews handle of company getty images tweeted. The tweet was "Snowy scenes from the big freeze across Europe, see the pictures here ➡️ <hyperlink> <hyperlink>". This tweet got 90 number of likes. 
2. On 2018-01-09 19:20:04, CNN handle of company cnn tweeted. The tweet was "It snowed in one of the hottest places in the world <hyperlink> <hyperlink>". This tweet got 627 number of likes. 
3. On 2018-01-10 06:01:05, CNN handle of company cnn tweeted. The tweet was "It snowed in one of the hottest places in the world <hyperlink> <hyperlink>". This tweet got 908 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
