<|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 2020-11-15 09:32:05, BBCPolitics from company bbc tweeted. The tweet was "#Marr asks BioNTech founder Prof Uğur Şahin if the Pfizer Covid-19 vaccine is as effective in older people as in younger people

<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-07-09 07:29:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Terveisiä Helsingistä (Greetings from Helsinki!)

Today our IDM #Vaccines Regional President, Janine Small, will discuss “Supporting healthy aging by preventing infectious diseases” 

Tune in from 14:10 CET here: <hyperlink>  

#EU2019FI #SilverEconomy2019 <hyperlink>". This tweet got 1 number of likes. 
2. On 2020-09-08 13:47:46, pfizer handle of company pfizer tweeted. The tweet was "We are committed to developing a #COVID19 #vaccine that is both safe &amp; effective, but success goes beyond that. Our teams will continue to work urgently, but we will never compromise our high standards in the pursuit of a vaccine: <hyperlink> 

#WeStandWithScience <hyperlink>". This tweet got 224 number of likes. 
3. On 2020-11-20 20:19:39, pfizer handle of company pfizer tweeted. The tweet was "UPDATE: Pfizer and <mention> have submitted an #EUA request to the <mention> for our #COVID19 vaccine candidate.

Watch <mention>'s reaction to a moment 248 days in the making. #ScienceWillWin <hyperlink>". This tweet got 996 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
