<|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 2019-01-19 12:21:28, BBCr4today from company bbc tweeted. The tweet was "Brexit: The UK leaving would be "a big disappointment" says former Arsenal and Germany goalkeeper <mention>. A love affair doesn't work "if one side wants to take the benefits but not give something" #r4today <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-02-01 21:06:54, scottemerson handle of company emerson tweeted. The tweet was "If the UK can deny the doomsayers &amp; achieve economic success post-Brexit, will it encourage other countries to leave the EU? Discussing it on <mention> #thefrontpage with <mention> <mention> <hyperlink>". This tweet got 0 number of likes. 
2. On 2018-11-26 00:24:26, Independent handle of company independent tweeted. The tweet was "Theresa May's Brexit deal could leave UK £100bn poorer in first decade outside EU <hyperlink> <hyperlink>". This tweet got 176 number of likes. 
3. On 2019-09-03 16:48:42, HywelPlaidCymru handle of company williams tweeted. The tweet was "Tonight on behalf of <mention> I will be voting against crashing out of the EU with no deal. A no deal Brexit would be disastrous for #Arfon and #Wales. #Brexit 🏴󠁧󠁢󠁷󠁬󠁳󠁿🇪🇺 <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
