It is not so much that I have confidence in scientists being right, but that I have so much in nonscientists being wrong.
Interpretation
This quote emphasizes the importance of scientific understanding over popular opinion.
Isaac Asimov articulates a skepticism towards the opinions of those who lack scientific training, suggesting that while scientists may be fallible, the general public is often more likely to be incorrect in their assertions. This reflects a deep trust in the scientific method and its ability to yield truth, despite the imperfections of individual scientists.
In practice
This quote could be used in a discussion about the importance of scientific literacy in society.
Democracy cannot survive overpopulation. Human dignity cannot survive it. Convenience and decency cannot survive it. As you put more and more people into the world, the value of life not only declines, but it disappears. It doesn't matter if someone dies.
Science does not promise absolute truth, nor does it consider that such a thing necessarily exists. Science does not even promise that everything in the Universe is amenable to the scientific process.
Democracy cannot survive overpopulation.
Although the time of death is approaching me, I am not afraid of dying and going to Hell or (what would be considerably worse) going to the popularized version of Heaven. I expect death to be nothingness and, for removing me from all possible fears of death, I am thankful to atheism.
A subtle thought that is in error may yet give rise to fruitful inquiry that can establish truths of great value.
During the century after Newton, it was still possible for a man of unusual attainments to master all fields of scientific knowledge. But by 1800, this had become entirely impracticable.
There is no physical law precluding particles from being organised in ways that perform even more advanced computations than the arrangements of particles in human brains.
The work of science is to substitute facts for appearances, and demonstrations for impressions.
We are all agreed that your theory is crazy. The question which divides us is whether it is crazy enough to have a chance of being correct. My own feeling is that it is not crazy enough.
The only relevant test of the validity of a hypothesis is comparison of prediction with experience.
Beyond 2050 the world population may start to decrease if women across the world will have, on average, less than 2 children. But that decrease will be slow.
That is the essence of science: ask an impertinent question, and you are on the way to a pertinent answer.
Subscribe for the occasional hand-picked quote. No noise.