<|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 2019-11-02 13:00:00, BBCArchive from company bbc tweeted. The tweet was "#OnThisDay 1951: Self-service shopping reached the UK. The manly men of Newsreel deferred to noted woman, Marjorie Anderson, for this report. <hyperlink>". The most similar tweets were, 
1. On 2018-10-06 14:22:20, ArlanWasHere handle of company free tweeted. The tweet was "I’m in an airport 2-4x per week, and I’ve been visiting Hudson’s/other stores every trip to buy <mention> copies to give away. The conversations I have w/mostly women of color cashiers have been some of the most rewarding of my life. Their reactions/support are unparalleled🤗 <hyperlink>". This tweet got 141 number of likes. 
2. On 2018-03-29 17:25:47, TargetNews handle of company target tweeted. The tweet was "Did you know that nearly half of our 1,800+ stores are run by women? Read more about how <mention> helps women advance their careers: <hyperlink> via <mention> <hyperlink>". This tweet got 425 number of likes. 
3. On 2020-03-28 11:53:59, asda handle of company asda tweeted. The tweet was "Help us support and thank our heroic NHS staff by allowing them to shop first in our stores. We will now be opening our stores an hour earlier on Sundays, exclusively for browsing, so they can shop and get what they need 1/3 <hyperlink>". This tweet got 120 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
