<|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 2019-04-02 14:30:00, PfizerEUPolicy from company pfizer tweeted. The tweet was "In this episode of #CureHunters, Pfizer researcher Anna Tretiakova discusses how #genetherapy works and how it is being used to treat #RareDiseases: 

<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-11-26 09:35:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "#GeneTherapy is at the forefront of our search for cures for #RareDiseases caused by genetic mutations. Read this great article which explains the work we are doing in this area 🔬 #WeWontRest
<hyperlink> <hyperlink>". This tweet got 2 number of likes. 
2. On 2019-03-07 15:30:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Gene therapy has the potential to transform the lives of #patients living with #RareDiseases. Bob Smith, SVP Gene Therapy, discusses what <mention> is doing to unlock this potential 🔑 🧬

<hyperlink> <hyperlink>". This tweet got 2 number of likes. 
3. On 2019-06-04 19:40:02, PfizerCA handle of company pfizer tweeted. The tweet was "With gene therapy treatments, we are moving toward a world in which targeted revolutionary cures are possible. Truly amazing to see how this cutting edge science can make an impact on patients’ lives. #BIO2019 <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|>
