joostjakob

Glad you already learned this is probably nonsense. The wrong reasoning is very similar to much thought about overpopulation. The amount of people that makes for a place to be overpopulated is a function of how societies work and the technologies they have at hand. One extra issue there is that improvements in technology usually lead to population growth, so much progress gets cancelled out.

You know when we first started seeing growing populations and development of agriculture? When the climate started an exceptionally long stable period. Guess what's going put of the window now? Planting for draught because that's the "new normal" won't get you far if the next year happens to be the wettest on record. Let alone that stronger storms than ever seen before aren't exactly great for harvests either. And that's just agriculture. Climate related disasters can wipe out key infrastructure, with unexpected consequences down the line (e.g. no car production because of a certain specific part of almost all cars comes from that one specific place). And then there's the refugee problem on top of all that.

How would making states, towns or neighborhoods look richer cause outrage? For income statistics, median us a much better measure in most cases, because it reflects "the average experience" much better. If you want to highlight income inequality, there's plenty of other stats you can use, e.g. the percentage of all income going to the top 1%.

There's millions of Venezuelans in Colombia, Ecuador and further South. But their options there are for more limited than in the US.

Didn't he basically campaign with this?

There's another free OSM based app that does have some traffic data, it's called Magic Earth. Not open source though, as their business model is to sell adapted versions.

What does the size of the country have to do with it? Which good big and bad small countries are you talking about?

I think EveryDoor requires some relatively deep understanding of OSM before actually being a useful tool. So edits like this should be rare with that tool. Many of the edits like this are from when MapsMe was very popular and suddenly introduced editing, without enough nuance in the process. Bad edits do happen everywhere, you need a good balance between people who data curation and newbies making beginner mistakes. In some places, there's a lack of experienced people maintaining the data.

Women are not even more dangerous than that they have to be

In some places there are government basemaps available as well. These can be extremely accurate, up to centimeter precision. Of course they can be outdated or have mistakes too, and not all are as precise. So it's hard to answer the question without knowing the location. Always vest to consult with local mappers about things like this.

Basically all countries that started having some economic growth since 1950 will have this spike effect. The countries that were already rich had a slow population transition, the other ones a fast one. The short version of that story is that in the latter child mortality went down slowly, and in the the former it was a quick proces. People take some time to adapt to this new reality, which means that for a shirt period of time 10 of 10 children will grow up to have kids of their own. After a while, the amount of children goes down to 2 or less, and growth stops. In Europe, this lade population multiply by two or three, in North Africa for example it can be up to times five or more. And in modern societies, this kind of growth tends to concentrate in cities.

Made me wonder: how likely would it be that a modern ginkgo could not reproduce with an ancient one?