Meaningful discussions around the concept of the production and utility of scientific knowledge, interdisciplinary knowledge, and the limitations of expertise.
It is, moreover, true that scientific consensus is often fleeting and regularly overturned, and that, in any case, consensus is neither unanimity nor a marker of infallibility. But the problem that we raise would remain a problem even if scientists were unanimous and infallible in their respective fields, and omnipotent about particular circumstances of time and place…
When the phenomena of multiple scientific fields interact, such as when it is necessary to trade off the health costs of a virus against the economic and other costs of a lockdown, policymakers can turn to experts about isolated phenomena. But there are no experts about the interaction of different kinds of phenomena or about the proper weighting of some against others. Policymakers can ask epidemiologists to weigh in on epidemiology, infectious disease specialists to weigh in on infectious disease, and economists to weigh in on economics. But there are no experts about how these subjects interact or how to balance them.
This article does a fascinating job of evaluating what the author calls “common knowledge,” similar to the TOK concept of shared knowledge, as a way to discuss the general idea of the role of communities in forming beliefs and how modern technologies change the nature of common knowledge.
It’s only with the growth of communities of people interacting that most people gain such courage in their convictions to defy that which authoritative sources (media, political, corporate) deem to be acceptable narratives and acceptable norms. These communities generate more than validation of one’s preexisting beliefs. They generate the common knowledge that I know that many others feel the same as I do, others to whom I am joined in a community.
The Bloodsport of the Hive Mind: Common Knowledge in the Age of Many-to-Many Broadcast Networks
Great episode with some solid TOK connections. At around 30:55, the host talks to economist Ed Glaeser about the value and importance of cities. The arguments he present connect well to concepts of personal and shared knowledge. Cities allow for innovation and progress because of the ease of sharing knowledge.
DUBNER: You call the city “our greatest invention,” which means you’re putting it ahead of mathematics, the computer, antibiotics, rum-raisin ice cream. How so? How is the city the greatest human invention?
GLAESER: It is the machine that makes all the other inventions possible, right? And the reason for that is that almost every one of the inventions that you raise, whether it’s mathematics and its development, whether in classical Greece 2,500 years ago or in the House of Wisdom in Abbasid, Baghdad, 1,200 years ago, it is human connections that make that creativity possible. Almost nothing that we have done as a species is a solo creation. We collaborate. We learn from each other. We steal each other’s ideas with some degree of regularity.
Further on, around 39 minutes, the host talks to economist Jennifer Doleac about crime statistics. What I love here is the way in which she talks about data and possible explanations for observed phenomena. All of this is a great representation of the methods of the human sciences and of economics in particular.
Homicide, it’s a bit of a mystery. And I think the mystery is compounded by the fact that we’re seeing different effects in different cities. So, it’s hard to come up with a really clear story. It’s possible that some of this is gang violence. And so, if people aren’t out and about, then there aren’t witnesses and bystanders who might deter violent crime or violent confrontations among people that perhaps don’t care about stay-at-home orders. Something else that has been written about quite a bit now is what happens to domestic-violence rates. We see domestic violence rates increase quite a bit. Some of those surely are turning into homicides. But that probably is not explaining all of the potential effect on homicides in these cities.
Freakonomics Podcast: Is New York City Over? (Ep. 434)
Great article for discussing the production of scientific knowledge, shared knowledge, and also the new knowledge and technology theme.
Scientific Cooperation Knows No Boundaries—Fortunately
Infectious diseases, it is commonly said, know no borders, and neither does the knowledge needed to fight them. Scientists around the world routinely share information and collaborate across borders. The current pandemic has scientists working together on platforms such as Slack, and using new tools, such as machine learning, to rapidly detect the novel coronavirus in tests that use large amounts data from multiple sources. This outbreak has demonstrated in real time how scientific understanding can indeed be a global public good.
People used to think the crowdsourced encyclopedia represented all that was wrong with the web. Now it’s a beacon of so much that’s right.
By the time the internet came into being, a limitless encyclopedia was not just a natural idea but an obvious one. Yet there was still a sense—even among the pioneers of the web—that, although the substrate was new, the top-down, expert-driven Britannica model should remain in place.
ADL International Leadership Award Presented to Sacha Baron Cohen at Never Is Now 2019
Today around the world, demagogues appeal to our worst instincts. Conspiracy theories once confined to the fringe are going mainstream. It’s as if the Age of Reason – the era of evidential argument – is ending, and now knowledge is delegitimized and scientific consensus is dismissed. Democracy, which depends on shared truths, is in retreat, and autocracy, which depends on shared lies, is on the march. Hate crimes are surging, as are murderous attacks on religious and ethnic minorities.
Read the full transcript here
The post-truth prophets
Postmodernism predicted our post-truth hellscape. Everyone still hates it.
Technology and globalization were making the world infinitely more complicated and that meant more information to process, more dots to connect. And one way to manage this chaos is to lean more and more on narratives that strip the world of its complexity — and often reinforce our biases at the same time.
We need to celebrate this collaboration more than ever, because it doesn’t happen on its own. It needs an environment that encourages researchers to build international and interdisciplinary teams, to work in different countries, to attack problems that no one person, or nation, can solve alone.
Human cleverness arises from distributing knowledge between minds, making people think they know more than they do
The hive mind, with its seamless interdependence and expertise-sharing, once helped humans hunt mammoths and now sends them into space. But in politics it causes problems. Using a toilet without understanding it is harmless, but changing the health-care system without understanding it is not. Yet people often have strong opinions about issues they understand little about. And on social media, surrounded by like-minded friends and followers, opinions are reinforced and become more extreme. It is hard to reason with someone under the illusion that their beliefs are thought through, and simply presenting facts is unlikely to change beliefs when those beliefs are rooted in the values and groupthink of a community.