<|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 2019-01-28 08:00:00, PfizerEUPolicy from company pfizer tweeted. The tweet was "#EU policymakers can bring the change that Europeans are looking for: #healthcare #innovation #research should be key priorities for next mandate #EP2019 <hyperlink>". The most similar tweets were, 
1. On 2019-06-10 14:00:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Increased research funding and predictable single market conditions are needed to make the #EU a world leader in #biomedicalresearch and development. Find out more in the <mention> 2019 manifesto: <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2020-10-14 13:42:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Read <mention>'s response to the #European medicines agencies network strategy to 2025 (EUNS 2025) and recommendations for 4️⃣ priority actions in order to move forward from strategy to actionable implementation:

<hyperlink> <hyperlink>". This tweet got 3 number of likes. 
3. 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 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|>
