<|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 2018-09-08 12:46:05, CNN from company cnn tweeted. The tweet was "This California nurse discovered that her colleague was a patient she cared for as a baby 28 years ago <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-09-06 04:31:05, cnni handle of company cnn tweeted. The tweet was "This California nurse just discovered her colleague was a patient she cared for as a baby 28 years ago <hyperlink> <hyperlink>". This tweet got 1161 number of likes. 
2. On 2018-03-21 07:31:04, CNN handle of company cnn tweeted. The tweet was "Photos of an Afghan woman who nursed her baby while simultaneously taking a high-stakes exam have inspired some social media users to look for ways to help her <hyperlink> <hyperlink>". This tweet got 745 number of likes. 
3. On 2020-01-21 02:21:10, CNN handle of company cnn tweeted. The tweet was "Nineteen nurses who work in the NICU unit at a Nebraska hospital were pregnant at the same time last year, and it was finally time for an adorable reunion <hyperlink> <hyperlink>". This tweet got 656 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
2836<|im_end|>
