<|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 2018-09-01 07:31:00, CNN from company cnn tweeted. The tweet was "This is how Ruth Bader Ginsburg, the oldest sitting Supreme Court Justice, stays in shape. She attributes her long career to her fitness routine. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-08-28 20:25:00, CNN handle of company cnn tweeted. The tweet was "This is how Ruth Bader Ginsburg, the oldest sitting Supreme Court Justice, stays in shape. She attributes her long career to her fitness routine. <hyperlink> <hyperlink>". This tweet got 9774 number of likes. 
2. On 2019-03-17 11:31:03, CNN handle of company cnn tweeted. The tweet was "Ruth Bader Ginsburg turned 86 this past week. The US Supreme Court justice has become an unlikely fitness role model <hyperlink> <hyperlink>". This tweet got 953 number of likes. 
3. On 2020-08-03 10:17:03, CNNPolitics handle of company cnn tweeted. The tweet was "Justice Ruth Bader Ginsburg worked through her fifth bout of cancer to help shape a blockbuster Supreme Court term <hyperlink> <hyperlink>". This tweet got 1744 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
3452<|im_end|>
