<|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 2020-09-23 20:59:58, BBCNews from company bbc tweeted. The tweet was "Thursday’s Mirror:
"The blame lies here..."
 
#BBCPapers 
#TomorrowsPapersToday <hyperlink>". The most similar tweets were, 
1. On 2018-02-18 16:45:06, CNN handle of company cnn tweeted. The tweet was "President Trump blames everyone but Russia <hyperlink> | Analysis by Dan Merica and Jeff Zeleny <hyperlink>". This tweet got 809 number of likes. 
2. On 2018-12-28 19:35:23, CNNnewsroom handle of company cnn tweeted. The tweet was ".<mention>: Only "Trump could find a way to blame a situation entirely of his creation, where his party under his leadership has control of the White House, the House and the Senate and still find a way to blame it on a woman. Nancy Pelosi is exactly right to stay out of this" <hyperlink>". This tweet got 1125 number of likes. 
3. On 2020-04-21 17:58:34, amazonmusic handle of company amazon tweeted. The tweet was "#BlameItOnBaby is our SOTD! Listen to <mention>'s new 🔥 by asking Alexa to play the #SongOfTheDay NOW 🎧: <hyperlink> <hyperlink>". This tweet got 774 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
