<|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 2018-06-16 08:07:50, BBCPolitics from company bbc tweeted. The tweet was ""There was so much ghastly sneering about those women"... You tell ‘em Laura! 👊

<mention> defends #LoveIsland contestants’ #Brexit discussion on this week's #Brexitcast. Download the podcast here: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-06-01 01:31:00, IWV handle of company independent tweeted. The tweet was ".<mention> called <mention> a "feckless c--t" and <mention> went ahead and aired it. This is not how we #ChampionWomen. All women deserve to be treated with civility, regardless of their political views. #IWcul <hyperlink> <hyperlink>". This tweet got 44 number of likes. 
2. On 2019-09-05 01:07:17, Mike_P_Williams handle of company williams tweeted. The tweet was "Rare sight: an accurate tabloid headline. #BrexitVote #HouseofLords #BrexitShambles <hyperlink>". This tweet got 129 number of likes. 
3. On 2019-01-17 16:18:03, CBC handle of company cbc tweeted. The tweet was "The internet is obsessed with this video of the UK's Speaker of the House of Commons trying to maintain order during a Brexit vote 😂 <hyperlink>". This tweet got 519 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
