<|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 2019-02-08 23:50:50, CNN from 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>". The most similar tweets were, 
1. 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. 
2. On 2018-01-14 00:00:28, 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 615 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 likr 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
549<|im_end|>
