<|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 2019-10-31 16:22:09, Google from company google tweeted. The tweet was "U.S. searches for “last minute costume” peak every Halloween, but hit an all-time high on October 31, 2015. See what costumes are trending in 2019 → <hyperlink> #ThrowbackTrends <hyperlink>". The most similar tweets were, 
1. On 2019-10-31 14:00:59, UrbanOutfitters handle of company urban outfitters tweeted. The tweet was "halloween morning mood
<hyperlink> <hyperlink>". This tweet got 163 number of likes. 
2. On 2018-09-15 14:00:10, UrbanOutfitters handle of company urban outfitters tweeted. The tweet was "all we're saying is that it's never to soon to get into the halloween spirit
<hyperlink> <hyperlink>". This tweet got 248 number of likes. 
3. On 2020-10-29 20:00:01, CBC handle of company cbc tweeted. The tweet was "What were the most popular #Halloween costumes of the 80s? 
We dug deep into the vast <mention> to find out. 
What was your favourite costume as a kid?👻🧟

#tbt #ThrowbackThursday #Halloween #Archives <hyperlink>". This tweet got 66 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
