<|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 2019-03-20 12:49:03, BBCPolitics from company bbc tweeted. The tweet was ""She is the roadblock to this House reaching a majority"

Former Labour leader <mention> blames Theresa May for #Brexit impasse, urging her to "do a service to the country" and back indicative votes on a way forward

#PMQs updates: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-02-09 21:44:19, Independent handle of company independent tweeted. The tweet was "Majority of voters want Theresa May to delay Brexit, exclusive Independent poll finds <hyperlink> <hyperlink>". This tweet got 70 number of likes. 
2. On 2019-07-24 12:26:02, Independent handle of company independent tweeted. The tweet was "Theresa May delivers her final comments as prime minister to the House of Commons and receives a standing ovation <hyperlink>". This tweet got 44 number of likes. 
3. On 2018-12-04 17:26:03, Independent handle of company independent tweeted. The tweet was "Theresa May's government found in contempt of parliament over refusal to publish full Brexit legal advice <hyperlink>". This tweet got 184 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
