<|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 2018-06-24 23:00:18, CNN from company cnn tweeted. The tweet was "Every single person in charge of law and order in this Georgia town is a black woman <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-06-23 04:15:07, CNN handle of company cnn tweeted. The tweet was "Every single person in charge of law and order in this Georgia town is a black woman <hyperlink> <hyperlink>". This tweet got 6548 number of likes. 
2. On 2018-06-25 05:00:06, CNN handle of company cnn tweeted. The tweet was "Every single person in charge of law and order in this Georgia town is a black woman <hyperlink> <hyperlink>". This tweet got 1648 number of likes. 
3. On 2020-11-22 23:03:08, CNNPolitics handle of company cnn tweeted. The tweet was "Black women helped push Democrats to the finish line in Georgia. Here's how they can do it again <hyperlink> <hyperlink>". This tweet got 804 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
1469<|im_end|>
