<|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 2019-05-31 09:34:00, Pfizer_Ireland from company pfizer tweeted. The tweet was "This #WorldNoTobaccoDay break the habit for good.  Ask your healthcare professional about medical treatments proven to help you quit. #NowYouCan <hyperlink>". The most similar tweets were, 
1. On 2018-01-11 15:37:16, Pfizer_Ireland handle of company pfizer tweeted. The tweet was "#Didyouknow you're 4x more likely to quit with healthcare professional support than with willpower alone? #quitsmoking <hyperlink>". This tweet got 1 number of likes. 
2. On 2018-04-19 08:30:01, Pfizer_UK handle of company pfizer tweeted. The tweet was "3 days to go… #PfizerHealthcareHub <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2020-06-29 21:20:59, pfizer handle of company pfizer tweeted. The tweet was "It’s time to #StopHateForProfit – learn more about our actions here: <hyperlink> <hyperlink>". This tweet got 289 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
2<|im_end|>
