<|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 2019-01-08 11:59:00, Pfizer_UK from company pfizer tweeted. The tweet was "Through our payroll giving scheme, we matched our colleagues donations to the value of £65,000 in 2018 #LastYearInNumbers <hyperlink>". The most similar tweets were, 
1. On 2019-04-11 16:35:01, Pfizer_UK handle of company pfizer tweeted. The tweet was "In 2017, our UK colleagues donated over 3,000 hours of their time to a variety of #volunteering activities - thank you #Pfizercolleagues 🙌🏼 Find out more: <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
2. On 2018-03-06 09:13:02, Pfizer_UK handle of company pfizer tweeted. The tweet was "We spent more than £1.7m on a variety of educational grants and social investment programmes in 2016. Find out how our money was spent...<hyperlink> <hyperlink>". This tweet got 3 number of likes. 
3. On 2018-08-15 12:25:02, Pfizer_UK handle of company pfizer tweeted. The tweet was "A big thanks to all of our UK colleagues who dedicated their time, expertise and enthusiasm to #volunteering projects this year! #CSR #CharityTuesday <hyperlink>". This tweet got 3 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|>
