<|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 2019-12-12 12:36:53, PfizerEUPolicy from company pfizer tweeted. The tweet was "In #print today: Time to accelerate progress on #HealthyAgeing, from <mention>
<hyperlink> <hyperlink>". The most similar tweets were, 
1. 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. 
2. On 2019-07-11 14:35:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Our purpose is to develop breakthroughs that change patients' lives. While doing so, we are committed to minimize our impact on the #environment. 
#EU <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2018-06-05 20:42:04, PfizerCA handle of company pfizer tweeted. The tweet was "Discussing innovative approaches to healthcare w/ <mention> <mention> <mention> <mention> <mention> at #BIO2018 #OntarioBIO2018. <hyperlink>". This tweet got 7 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
0<|im_end|>
