Pioneering Biochemist Erwin Chargaff on the Poetics of Curiosity, the Crucial Difference Between Understanding and Explanation, and What Makes a Scientist

Chargaff cautions against the blinders with which specialization obscures the full scope of reality:

Chargaff speaks to the immense yet endangered value of a robust and indiscriminate curiosity in grasping the big picture: Without a firm center we flounder. The wonderful, inconceivably intricate tapestry is being taken apart strand by strand; each thread is being pulled out, torn up, and analyzed; and at the end even the memory of the design is lo... See more

If art represents the highest form of reality that man — or at least modern secular man — is capable of attaining, the many instances in which great creations were rejected initially, and often with incredible malice, show how reluctant we are to grasp reality. We accept only what has been predigested for us by the so-called tastemakers; but this i... See more

The consequence of the excessive specialization, which often brings us news that nobody cares to hear, has been that in revisiting a field with which one had been very familiar, say, ten or twenty years earlier, one feels like an intruder in one’s own bathroom, with twenty-four grim experts sharing the tub.

Radiating from his recollection is a sublime definition of what makes a scientist: The feeling that there is always more than he can find, that he is only pulling shreds out of an unfathomable continuum, forms part of my definition of scientist.

The world of science was open before us to a degree that has become inconceivable now, when pages and pages of application papers must justify the plan of investigating, “in depth,” the thirty-fifth foot of the centipede; and one is judged by a jury of one’s peers who are all centipedists or molecular podiatrists. I would say that most of the great... See more

Our understanding of the world is built up of innumerable layers. Each layer is worth exploring, as long as we do not forget that it is one of many. Knowing all there is to be known about one layer — a most unlikely event — would not teach us much about the rest. The integration of the enormous number of bits of information and the resulting vision... See more