<|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 2020-07-23 21:26:51, cnnbrk from company cnn tweeted. The tweet was "CDC statisticians expect Covid-19 will end up among the top 10 leading causes of death in the nation in 2020 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-05-15 22:39:18, cnnbrk handle of company cnn tweeted. The tweet was "The CDC director says the department's models predict more than 100,000 US Covid-19 deaths by June 1 <hyperlink> <hyperlink>". This tweet got 638 number of likes. 
2. On 2020-12-03 02:13:54, cnnbrk handle of company cnn tweeted. The tweet was "The US has reported the highest number of new daily Covid-19 deaths since the pandemic began, with more than 2,650 reported so far today <hyperlink> <hyperlink>". This tweet got 1599 number of likes. 
3. On 2020-12-23 22:44:58, cnnbrk handle of company cnn tweeted. The tweet was "More than 325,000 people in the US have died from Covid-19, according to Johns Hopkins University's tally <hyperlink> <hyperlink>". This tweet got 821 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
640<|im_end|>
