If human origin interests you there is a great 10 minute video from the Youtube Kurzgesagt channel that lead me to read Sapiens.
https://www.youtube.com/watch?v=dGiQaabX3_o
https://www.amazon.com/Sapiens-Humankind-Yuval-Noah-Harari/d...
If human origin interests you there is a great 10 minute video from the Youtube Kurzgesagt channel that lead me to read Sapiens.
https://www.youtube.com/watch?v=dGiQaabX3_o
https://www.amazon.com/Sapiens-Humankind-Yuval-Noah-Harari/d...
Speciation events tend to look more like, imagine you take a town of two thousand people and send half of them to the moon for a million years. The moon men and the earth men would evolve into two different species; if you looked really hard, you could find a single common ancestor from whom everyone in that town descended, but it's not like one of his children went to the moon and one stayed on earth; some of his great-great-*-grandchildren went to the moon and some stayed on earth. The common ancestor was hundreds or thousands of years before the population split in two.
Moreover, breaks don't always happen cleanly. Imagine for the first ten or hundred thousand years someone from earth would occasionally migrate to the moon or a moon man would return to earth. The same thing would have happened with proto-humans and proto-chimpanzees: long after the two species had begun to diverge they would still be interfertile, and some mating (or "gene transfer", if you prefer) would still happen long past the point you'd begin calling them two different species. Eventually the two species would stop being mutually fertile or even attractive and the rift would be complete, but look at how many big cat and horse-like species can still occasionally pull it off.
Evolution is messy, and the bush of life is complicated.
It's called a population bottleneck, where a near extinction event forces almost all individuals to share a large proportion of their genetic material, and the most recognizable example is in cheetahs.
Consider the hypothetical population consisting of two people, whose fathers were both first cousins and whose mothers are second cousins, on their mother's... side.
Their mitochondrial MRCA is their great-great-grandmother on their mother's side, but their MRCA's are their great-grandmother (and great-grandfather) on their father's side.
The entire human family tree is like that, but way, way more complicated.
It only applies to mitochondria, not the genes in the nucleus or anything constructed from those genes.
It's only unique because the "MR" in MRCA stands for "most recent".
You could have a species that's a million years old with an MRCA that's only 500 years old. You could also have a species with no MRCA. (As in, the only way to find an MRCA is to trace back into ancestor species.) Picture two islands where only males travel between them.
Insofar as experiments are now too large and costly to allow for "I'll just go check that in my lab tonight"-type replication, peer review is increasingly just a status game.
The paper will have no impact, no one will base any further work on it, no one will cite it, and it will vanish like a fart in the wind. In this case, the author gets minimal prestige, and can claim a publication in a maybe-prestigious journal with an embarrassingly small number of follow-up citations. No fame, money, or power for the author, and no impact (negative or positive, if the paper was right or wrong) on the world.
Or the paper can spark a lot of ideas in the people who read it. They'll try to build on it, or they'll try to use a technique from it in another application. When this happens, if the paper was solid, then the original author gets citations, speaking engagements, money and power. If the paper was less than solid, and the people trying to build on it keep having trouble, that is when the original author's house of cards comes crashing down.
You don't need to directly replicate an experiment when you can build on it. If your experiments building on the original experiment make sense and give consistent results, you've just validated the original research in another way. If your experiments don't, and after weeks and months of wasting time checking your own work and making sure you're not doing wrong, you slowly reach the conclusion that the original research was bogus, then you begin to get angry. Then you begin to tear into the original author and his research, publicly denounce him for wasting your and everyone else's time. Then science self-corrects.
So science is generally OK -- either bogus research that gets published has no impact (no different that a lot of good research :-P ), or it proves false when other people try to build on it.
Who gets into trouble, is science journalists and laypeople who read newly published articles and assume they are gospel.
Fields like psychology, on the other hand, need replications—"assuming another result as axiomatic in your own experiment" just doesn't come up much.