<|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 2019-08-23 09:30:00, BBCiPlayer from company bbc tweeted. The tweet was "This whole scene is TENSE. 

Here's a sneak peek of the new series of #PeakyBlinders. <hyperlink>". The most similar tweets were, 
1. On 2019-09-01 16:30:00, ITG_Ltd handle of company independent tweeted. The tweet was "When someone asks if you're a #PeakyBlinders fan. 😉

<mention> continues tonight at 9pm on <mention>. 

⭐️ #HelenMcCrory, #AidanGillen, <mention>, <mention>, <mention>, #NeilMaskell &amp; <mention>

🎬 Produced by #AnnieHarrisonBaxter <hyperlink>". This tweet got 43 number of likes. 
2. On 2019-03-27 03:32:23, cameronesposito handle of company cameron tweeted. The tweet was "good a time as any to remember this scene exists <hyperlink>". This tweet got 994 number of likes. 
3. On 2020-05-16 17:00:00, CBC handle of company cbc tweeted. The tweet was "Current mood, all over the world.  

#captionthis #HelloSpringCBC

<hyperlink>". This tweet got 406 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
