<|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 20:46:02, CNN from company cnn tweeted. The tweet was "A strong wind storm on the East Coast has caused trouble for planes. This one had to abort a landing in Washington, D.C., after rocking back and forth in air. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-05-27 20:28:40, cnnbrk handle of company cnn tweeted. The tweet was "Bad weather delays the historic NASA/SpaceX launch from Cape Canaveral. They'll try again on Saturday. <hyperlink> <hyperlink>". This tweet got 1313 number of likes. 
2. On 2019-01-09 06:46:10, CNN handle of company cnn tweeted. The tweet was "This pilot photographs storms from the airplane cockpit <hyperlink> <hyperlink>". This tweet got 4461 number of likes. 
3. On 2018-08-25 15:30:07, CNN handle of company cnn tweeted. The tweet was "This intriguing NASA image shows all the dust, fires and storms in the air in one day <hyperlink> <hyperlink>". This tweet got 1004 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
625<|im_end|>
