I can spend an entire weekend working on a map to only to get 4 views. Or in this case I can throw something together in 20 minutes and get 4k likes. I give up predicting what the people want

I feel the same way. Sometimes, articles I’ve spent a lot of time researching and thought were interesting get virtually no views, while articles I’ve thrown together in about 15 minutes get a huge response. I, too, have given up trying to figure out what really captures people’s interest.

@PythonMaps Hypsometry is awesome!

@PythonMaps Feel the same way about tweets vs threads. Have almost 200 threads but it’s the off the cuff reply that goes viral.

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@PythonMaps based on this data, you should put as little time into making your maps to get maximum like count

@PythonMaps It's interesting though

@PythonMaps wow

@PythonMaps It’s the uniqueness of the map… I have seen about every map known to man, but never this. great work!

@PythonMaps can we have it by latitude too?

@PythonMaps LOL, truth.

@PythonMaps You can see proper science there. The distribution is very telling about the structure of the crust and the effect of weather. Namely, it's clearly mostly bimodal, with additional minor modes at extremes. A beautiful visualization of tectonics and a living planet!

It always be like this with content creation, you are not alone. Do what you like instead of chasing what you think people want. Social Media engagements aren’t even a metric for ‘what people want’. The ways of the algorithms are mysterious, aka opaque to common reason. Maybe it was a hit because it rode a wave of similar engagement, maybe it just was engaged with by a few larger accounts at the right time, maybe forces with agendas are pushing certain content and yours hit their trigger mechanisms,… ectetera. You’ll never know if you don’t want to spent most of your time being up to date woth how to game the algorithm, which is a moving target itself.

@PythonMaps Hmm but it feels wrong to consider sealevel as the surface, doesn't it skew everything heavily to sea level? Or does this map account for that?

@PythonMaps If you stare long enough into the algorithm, the algorithm stares back at you

@PythonMaps The Tibetan plateau is not represented in the histogram. White on white?

@PythonMaps Idk what it tells us about earth, but I've never seen earth characterized by that. It's clearly multi modal and it makes me wanna ask why. This differentness from other charts I've seen as a non geologist stood out and made me press like.

@PythonMaps Its great that it's OC tho, thought it was just some Ai bs posted or reposted to farm likes yesterday. Was it recently made or inspired by something because i could've sworn that I saw this or a similar map years ago on reddit. Crazy that the avarage ocean depth is so deep

@PythonMaps Is it possible to align the chart below with the accumulative height of the vertical earth lines above (I have no idea how to tell this in the right word)

@PythonMaps well it is a very surprising distribution

@PythonMaps Well it helped me find your account, nice stuff!

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@PythonMaps Hey wassup I don't get the scale, there is the highest montains in Asia and it is all flat there Or, another missreading is : there is high altitude at 0 km. Maybe reverse the scale

@PythonMaps Making maps for views…

@PythonMaps This was very counterintuitive

@PythonMaps it is not what we people want - it is what the algorithm puts on our timeline- or withholds from our timeline. I understand that if something gets featured by X for whatever reason & then starts getting liked it gets on even more timelines… no idea how this algorithm works…