<|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 2018-03-13 22:57:41, BBCNewsnight from company bbc tweeted. The tweet was "“Britain needs to be part of an alliance… this is the worst possible moment for Britain to be leaving the EU” - <mention> on a British response to the Sergei Skripal attack #newsnight <hyperlink>". The most similar tweets were, 
1. 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. 
2. On 2019-03-23 10:19:07, Independent handle of company independent tweeted. The tweet was "Brexit will damage Britain's poorest regions – a new vote would be a chance to start again | <mention> | #FinalSay #PutitothePeople <hyperlink> <hyperlink>". This tweet got 206 number of likes. 
3. On 2020-01-31 23:01:43, cnnbrk handle of company cnn tweeted. The tweet was "More than three years after a referendum that left the country bitterly divided, the UK has just left the European Union <hyperlink> <hyperlink>". This tweet got 606 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
