<|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 2019-08-26 20:14:08, cnnbrk from company cnn tweeted. The tweet was "A judge orders Johnson &amp; Johnson to pay Oklahoma $572 million for its role in the state's opioid epidemic <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-03-11 18:44:45, cnnbrk handle of company cnn tweeted. The tweet was "Exclusive: Doctors who got more money from opioid makers were more likely to prescribe large amounts of opioids as the crisis ravaged the US <hyperlink> <hyperlink>". This tweet got 983 number of likes. 
2. On 2019-05-22 03:18:18, CNN handle of company cnn tweeted. The tweet was "Beto O'Rouke suggested taking legal action against large drug companies as a part of tackling the opioid crisis in the US <hyperlink> #CNNTownHall <hyperlink>". This tweet got 1026 number of likes. 
3. On 2020-08-24 16:36:56, CNNPolitics handle of company cnn tweeted. The tweet was "Court orders President Trump to pay $44,100 in legal fees to Stormy Daniels <hyperlink> <hyperlink>". This tweet got 632 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
1055<|im_end|>
