<|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 2018-06-23 13:53:17, SkyNews from company sky tweeted. The tweet was ""Let us hear you shout for a people's vote!" - 
Remain campaigner Gina Miller urges crowds to "take back control" as thousands take part in anti-Brexit march in London.  #PeoplesVoteMarch

Follow the latest here: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-08-31 22:00:00, Independent handle of company independent tweeted. The tweet was "Crowd cheers as Tory MP asks if they want to 'bring the government down' <hyperlink>". This tweet got 92 number of likes. 
2. On 2018-10-20 09:51:38, Independent handle of company independent tweeted. The tweet was "Follow live updates as thousands set to march on London calling for a #FinalSay on any Brexit deal #PeopleVoteMarch <hyperlink> <hyperlink>". This tweet got 63 number of likes. 
3. On 2020-10-27 21:21:59, IWF handle of company independent tweeted. The tweet was "We don't do things like those chumps... -<mention>

Oh, yes, your supporters do. At our #ImWithHer rally, a Black Lives Matter speaker tried to get <mention> to "stop talking." Then your supporters, #BLM &amp; the #WomensMarch, took over our rally and our stage. #Election2020 <hyperlink>". This tweet got 92 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
