<|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 2020-01-12 11:30:00, BBCCasualty from company bbc tweeted. The tweet was "Catch Saturday's episode of #Casualty on BBC iPlayer RIGHT NOW!
👉<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-06-04 07:18:26, RadioFreeSkaro handle of company free tweeted. The tweet was "Doctor Who returns to BBC iPlayer - with every episode since 2005 available to watch <hyperlink> #DoctorWho <hyperlink>". This tweet got 64 number of likes. 
2. On 2020-06-18 09:00:16, primevideosport handle of company amazon tweeted. The tweet was "🚨 𝐓𝐎𝐓𝐀𝐋𝐋𝐘 𝐅𝐑𝐄𝐄 🚨

<mention> v <mention> is live &amp; exclusive on Thursday 9 July

Fans in the UK can watch it 🆓 of charge on #PrimeVideo 😍 <hyperlink>". This tweet got 1850 number of likes. 
3. On 2018-03-10 06:58:01, CBCOlympics handle of company cbc tweeted. The tweet was "What to watch today at the Paralympics: Mar.9-10
<hyperlink> <hyperlink>". This tweet got 112 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
