<|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 2020-10-25 15:00:21, rbcgamnews from company rbc tweeted. The tweet was "As the second COVID wave intensifies across the globe, we look at the risk to growth. We also discuss the impact of government shutdowns and reasons why economic decline may be harder felt in Europe. Watch now: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-03-02 13:44:34, Independent handle of company independent tweeted. The tweet was "Coronavirus could cause 'huge economic and societal disruption', warns EU <hyperlink> <hyperlink>". This tweet got 42 number of likes. 
2. On 2020-11-26 10:17:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "The #Covid crisis has reinforced the strength and importance of our global network, particularly the scale of our #European operation. 

Read more about how our we serve and support our #European markets here: 

<hyperlink>

#PfizerProud <hyperlink>". This tweet got 1 number of likes. 
3. On 2020-03-12 07:13:33, IndependentNGR handle of company independent tweeted. The tweet was "Buhari Raises Alarm Over Impacts Of Covid-19 On Global Growth <hyperlink> <hyperlink>". This tweet got 0 number of 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
