<|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 2020-06-01 20:21:03, BBCNews from company bbc tweeted. The tweet was "More than 200 top UK firms and investors are calling on the government to deliver a coronavirus recovery plan that prioritises the environment
 
[Thread]

<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-06-19 19:45:00, Independent handle of company independent tweeted. The tweet was "How the UK reached 300,000 coronavirus cases <hyperlink>". This tweet got 86 number of likes. 
2. On 2020-06-19 17:30:00, Independent handle of company independent tweeted. The tweet was "How the UK reached 300,000 coronavirus cases <hyperlink>". This tweet got 58 number of likes. 
3. On 2020-06-19 18:45:00, Independent handle of company independent tweeted. The tweet was "How the UK reached 300,000 coronavirus cases <hyperlink>". This tweet got 88 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
