<|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 2020-03-14 12:51:06, BBCWorld from company bbc tweeted. The tweet was "As coronavirus continues to spread around the world, face masks are in high demand as people look for ways to protect themselves

But do they really protect most people from contracting the virus?

<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-05-20 14:35:01, MayoClinic handle of company mayo clinic tweeted. The tweet was "How much protection do face masks offer? Can face masks help prevent the spread of #COVID19? For the answers: <hyperlink> <hyperlink>". This tweet got 79 number of likes. 
2. On 2020-06-15 13:33:04, CNNPolitics handle of company cnn tweeted. The tweet was "The US Surgeon General says Coronavirus face masks promote freedom: "If more wear them, we'll have MORE freedom to go out" <hyperlink> <hyperlink>". This tweet got 1603 number of likes. 
3. On 2020-06-15 23:17:03, CNNPolitics handle of company cnn tweeted. The tweet was "The US Surgeon General says Coronavirus face masks promote freedom: "If more wear them, we'll have MORE freedom to go out" <hyperlink> <hyperlink>". This tweet got 1709 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
