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The Genetic Lottery: Why DNA Matters for Social Equality is a book by psychologist and behavior geneticist Kathryn Paige Harden, a professor of psychology at the University of Texas at Austin. Published on September 21, 2021, by Princeton University Press , the book argues that human genetic variation needs to be acknowledged in order to create ...
In September 2021, Harden published a book on the same concept, The Genetic Lottery: Why DNA Matters for Social Equality, which summarized the history and modern forefront of genetic research and argued that "the science of genetics can help create a more just and equal society". [13]
Sandel points out that without genetic engineering, a child is "at the mercy of the genetic lottery." [14] Insurance markets allow a pooling of risk for the benefit of all: those who turn out to be healthy subsidise those who are not. This could be phrased more generally as: individual success is not fully determined by that individual or their ...
Similarly, the sheer popularity means that many of these dogs end up in terrible situations, and there is a glut of dogs that did not win the genetic lottery. Even if you get the desired coat ...
To do this, researchers are turning to a relatively new genetic approach called the polygenic score, which assesses a person’s likelihood for a specific future based on a combination of genetic ...
An improvement in the survival lottery for the group must improve that for the gene for sufficient replication to occur. Dawkins argues qualitatively that the lottery for the gene is based upon a very long and broad record of events, and group advantages are usually too specific, too brief, and too fortuitous to change the gene lottery:
The research also showed how certain genetic variants inherited from our Neanderthal ancestors, which make up between 1% and 3% of our genomes today, varied over time. Some, such as those related ...
John R. Koza is a computer scientist and a former adjunct professor at Stanford University, most notable for his work in pioneering the use of genetic programming for the optimization of complex problems.