<|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 2018-08-08 08:09:00, Pfizer_UK from company pfizer tweeted. The tweet was "#DKY researchers are studying how girraffes, with 6ft between heart and brain, avoid hypertension - to help us combat high blood pressure <hyperlink>". The most similar tweets were, 
1. On 2018-03-21 16:27:01, Pfizer_UK handle of company pfizer tweeted. The tweet was "#DKY researchers are studying how girraffes, with 6ft between heart and brain, avoid hypertension - to help us combat high blood pressure <hyperlink>". This tweet got 3 number of likes. 
2. On 2019-05-16 11:00:39, Pfizer_Ireland handle of company pfizer tweeted. The tweet was "Did you know that high blood pressure can be avoided by implementing a number of simple lifestyle changes? Find out more here: <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2020-07-14 07:36:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Today and tomorrow we are participating in <mention> workshop on #EUPharmaStrategy. 
Find out more about Pfizer's view in our submission to the Roadmap consultation: <hyperlink> <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
2<|im_end|>
