

A classic!
A classic!
Findroid/Finamp? Quite robust.
Sadly, yes. One would hope the more core sectors use it, the more the general population would use such tools. But alas!
Cold plain metrics can easily hide social complexity.
Assume 10 investigative journalists use modded privacy-friendly Firefox for year long investigation. Then their report is read by 10 million average news reader on stock browsers like Chrome. Network logics tell us that Firefox browser has asymmetrical value in the ecosystem than plain usage metrics can ever reveal.
The obsession with numbers (the more the better) is a major blinding effect in societies driven by hierarchical cultures.
Interesting seen this way.
Word of note though. Salaries are quiet spread out. The people likely to buy new iPhones are likely people earning top 1% of salaries in most countries in Africa.
If this viz is focusing on average salary, then it is a general description and should not be compared to other countries with different income spreads (min-max). It can be quite deceptive. Upper middle class in a place like Kenya or Myanmar live a far more better life overall than say lower middle class folk in the US.
Documentation is well done. Good stuff. I use podgrab for some tests and while I like it for the simplicity, I had to move to Audiobookshelf as it combines audiobooks and podcasts neatly. I’ll check this out as it looks quite thought out (and sleek too).
No fucking roots shall hold.