I don't think your Facebook data is right. You're using the "total" count, which includes likes and comments, rather than just shares. While this does measure engagement, it isn't a measure of shares, which is what the data is marketed as. For example, you show 28k likes for the #1 story, but Facebook's data[1] says this:
share_count: 7023
like_count: 14341
comment_count: 7328
total_count: 28692
Is it possible to get the most-shared data without scraping every TechCrunch post ever?
The data might be useful for a project I'm working on. :)
Not surprised that James Altucher wrote the most shared post ever on TechCrunch, excellent writer. Very useful tool, thanks for sharing it.
I wonder what percentage of those shares aren't completely generic, how many actually add anything?
As a relatively late adopter of "social", I was disappointed to find that the vast majority of sharing seems to be raw repeating. No opinion or contribution, just a contextless spray of links - bookmark broadcasting.
It would be interesting to see how the level of contribution when sharing varies by site/topic.