<|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 2018-01-09 22:06:48, BBCWorld from company bbc tweeted. The tweet was "Snappers coping with the cold snap! <hyperlink>". The most similar tweets were, 
1. On 2019-02-09 05:46:02, CNN handle of company cnn tweeted. The tweet was "The Great Cold Snap of 2019 has introduced us to frost quakes, snow squalls and steam fog. Now we can add another item to the list: ghost apples. <hyperlink> <hyperlink>". This tweet got 581 number of likes. 
2. On 2019-02-10 06:01:02, CNN handle of company cnn tweeted. The tweet was "The Great Cold Snap of 2019 has introduced us to frost quakes, snow squalls and steam fog. Now we can add another item to the list: ghost apples. <hyperlink> <hyperlink>". This tweet got 557 number of likes. 
3. On 2018-01-11 04:53:26, cameronesposito handle of company cameron tweeted. The tweet was "<mention> Sorry follow-up: doesn’t this snap look post-apocalyptic? WE LIVED I GUESS <hyperlink>". This tweet got 316 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
