<|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 2020-01-02 19:23:42, cnnbrk from company cnn tweeted. The tweet was "A White House budget official told the Pentagon that the order to hold Ukraine aid came from Trump, a national security site reports
<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-01-16 15:20:28, cnnbrk handle of company cnn tweeted. The tweet was "The Trump administration broke the law when it withheld US security aid to Ukraine last year, the Government Accountability Office says <hyperlink> <hyperlink>". This tweet got 1500 number of likes. 
2. On 2020-02-05 17:18:49, cnnbrk handle of company cnn tweeted. The tweet was "New revelations show how the White House decision to block Ukraine aid stunned US officials, who repeatedly questioned President Trump's rationale <hyperlink> <hyperlink>". This tweet got 696 number of likes. 
3. On 2019-10-11 01:23:07, cnnbrk handle of company cnn tweeted. The tweet was "At least four national security officials raised concerns about Trump's Ukraine approach before the July call, The Washington Post reports <hyperlink> <hyperlink>". This tweet got 546 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
1387<|im_end|>
