<|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 2020-01-12 16:00:00, PfizerEUPolicy from company pfizer tweeted. The tweet was "It's vital that we all collaborate to find solutions to address medicine #shortages. This paper from <mention> adresses the root causes of shortages and outlines potential solutions #WeWontRest

<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-05-18 08:04:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Alongside our colleagues in the research-based pharmaceutical industry in 🇪🇺 we are committed to ensuring the supply of innovative medicines to the patients who need them. 
Read more here: <hyperlink>
#WeWontRest <hyperlink>". This tweet got 0 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 2019-03-28 16:00:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Ensuring #patient access to medical cures "must be a shared responsibility between pharmaceutical companies and healthcare systems, and there must be greater willingness on both sides to explore new ways of working together" 🤝

<hyperlink> <hyperlink>". This tweet got 1 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
4<|im_end|>
