<|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 2019-12-10 08:00:00, PfizerEUPolicy from company pfizer tweeted. The tweet was "#DYK? Every European lives on average 18.4 years with a disability, amounting to over 9 billion life years across the European population. We're committed to collaborative research and innovation to improve the quality of lives of #European citizens 🇪🇺👇

<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-09-04 15:30:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "#DYK? We employ over 18,000 people within #Europe, more than 8,000 are in manufacturing roles. Read more #Pfizer in the #EU facts here 👇<mention>
<hyperlink> <hyperlink>". This tweet got 1 number of likes. 
2. On 2019-07-24 07:22:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "#DYK? In some EU countries, only 0,5% of #health budget is spent on #Immunization.

<hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-12-03 13:54:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "#DYK that we support the European Patients Academy in training patients to contribute to medical research 🔬
Their role is vital in our work 🇪🇺  

<hyperlink>

#PatientExperts 
#EUHealthResearch <mention> <mention> <hyperlink>". This tweet got 2 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|>
