<|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 2018-05-22 02:25:04, CNN from company cnn tweeted. The tweet was "More Americans tuned in to watch Harry and Meghan's royal wedding than William and Kate's ceremony in 2011 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-05-19 14:46:06, CNN handle of company cnn tweeted. The tweet was "Meet Meghan's adorable #royalwedding bridal party <hyperlink> <hyperlink>". This tweet got 968 number of likes. 
2. On 2018-05-19 08:22:42, CNN handle of company cnn tweeted. The tweet was "The world is watching Windsor for the #royalwedding - here's our guide to the castle where Prince Harry and Meghan Markle are getting married: <hyperlink> <hyperlink>". This tweet got 750 number of likes. 
3. On 2018-05-19 13:35:16, CNN handle of company cnn tweeted. The tweet was "Some #royalwedding observers saw a clear nod to Princess Diana in Meghan's gown  <hyperlink> <hyperlink>". This tweet got 1179 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
1636<|im_end|>
