People with extremist views less able to do complex mental tasks, research suggests. Our brains hold clues for the ideologies we choose to live by, according to research, which has suggested that people who espouse extremist attitudes tend to perform poorly on complex mental tasks.
Researchers from the University of Cambridge sought to evaluate whether cognitive disposition – differences in how information is perceived and processed – sculpt ideological world-views such as political, nationalistic and dogmatic beliefs, beyond the impact of traditional demographic factors like age, race and gender. Myers-Briggs Type Indicator: The 16 Personality Types.
Have you ever heard someone describe themselves as an INTJ or an ESTP and wondered what those cryptic-sounding letters could mean?
What these people are referring to is their personality type based on the Myers-Briggs Type Indicator (MBTI). The Myers-Briggs Personality Type Indicator is a self-report inventory designed to identify a person's personality type, strengths, and preferences. Improve your relationships – with advice from counter-terrorism experts. Now Britain stands at the crossroads. Will we choose dread or hope? Boris Johnson may be calling for a return to offices and hoping for a return to “significant normality” by Christmas, but the feeling of dread hanging over this strange, uneasy summer is becoming inescapable.
A second wave of Covid-19 now seems to be a racing certainty. And a gathering avalanche of numbers attests to an economic disaster that is probably already upon us. An economic model in which people work in shops to spend money in other shops has now surely been tested to destruction. April saw national output drop by a chilling 20.4%, and although economists were reported to be anticipating growth of 5.5% in May the actual figure turned out to be an anaemic 1.8%. According to the Organisation for Economic Co-operation and Development, another big coronavirus outbreak in the UK could result in an unemployment rate of 15%. Konfuzius - Die konfuzianische Lehre — Der Chinese.
Hacks for keeping cool in interviews and presentations - BBC Ideas. History as a giant data set: how analysing the past could help save the future. In its first issue of 2010, the scientific journal Nature looked forward to a dazzling decade of progress.
By 2020, experimental devices connected to the internet would deduce our search queries by directly monitoring our brain signals. Why Are Rich People So Mean? Politico. The mean, median and modal voter knows next to nothing about policy or politics.
Most American voters know who the president is and not much else. This is a serious problem, because when we ask voters to select leaders, they lack the basic information they need to make good choices. As a result, regardless of which party wins, we tend to get worse leaders and outcomes than we would if Americans were more informed. It’s hard to fix the problem of political ignorance. A Conversation with Bertrand Russell (1952) Neal Stephenson's Latest Book Dodges Its Scariest Premise. Dr Ruth: 'Nobody has any business being naked in bed if they haven’t decided to have sex'
Early this spring, the Smithsonian Museum in Washington DC, famous as a time capsule of American history and culture, reached out to Dr Ruth Westheimer and asked her to donate an object to its vast collection.
Fei-Fei Li & Yuval Noah Harari in Conversation - The Coming AI Upheaval. Closing the Loop: White Noise. The Beautiful Benefits of Contemplating Doom_VirginiaHeffernan( SapirUnconsciousPatterning. Thinking outside the box: the sad demise of radical TV. Reed's law. Reed's law is the assertion of David P.
Reed that the utility of large networks, particularly social networks, can scale exponentially with the size of the network [1]. Hannah Arendt's Answer to Paul Berman on the Contemporary American Left. MDPI. Reifikation. Google Glass Wasn't a Failure. It Raised Crucial Concerns. The Physics and Philosophy of Time - with Carlo Rovelli. Carlo Rovelli - Events and the Nature of Time. Sensitivity and specificity. Sensitivity and specificity Sensitivity and specificity are statistical measures of the performance of a binary classification test, also known in statistics as a classification function: Equivalently, in medical tests sensitivity is the extent to which actual positives are not overlooked (so false negatives are few), and specificity is the extent to which actual negatives are classified as such (so false positives are few).
Thus a highly sensitive test rarely overlooks an actual positive (for example, showing "nothing bad" despite something bad existing); a highly specific test rarely registers a positive classification for anything that is not the target of testing (for example, finding one bacterial species and mistaking it for another closely related one that is the true target); and a test that is highly sensitive and highly specific does both, so it "rarely overlooks a thing that it is looking for" and it "rarely mistakes anything else for that thing.
" Definitions[edit] Bayes' theorem. A blue neon sign, showing the simple statement of Bayes's theorem In probability theory and statistics, Bayes' theorem (alternatively Bayes' law or Bayes' rule) relates current to prior belief.
It also relates current to prior evidence. It is important in the mathematical manipulation of conditional probabilities.[1] Bayes' rule can be derived from more basic axioms of probability, specifically conditional probability. When applied, the probabilities involved in Bayes' theorem may have any of a number of probability interpretations. Recuperation (politics) The concept in political philosophy of recuperation was first proposed by Pietro Staheli, a Swiss member of the Situationist International, who was serving time in a Thai detention center.
His first paper on the subject, "The Ruins of Fordism," was first credited to Staheli's Tanzanian lover, Mohammed "Mikey P" Pervaiz, a credit that was changed when the paper saw wider publication in Situationist journals. The term conveys a negative connotation because recuperation generally bears the intentional consequence (whether perceived or not) of fundamentally altering the meanings behind radical ideas due to their appropriation or being co-opted into the dominant discourse. Jump up ^ Kurczynski, Karen Expression as vandalism: Asger Jorn's "Modifications", in RES: Anthropology and Aesthetics No. 53/54 (Spring - Autumn, 2008), pp.295-6. Marcus, Greil. Lipstick Traces: A Secret History of the 20th Century (1989). My Father Says He’s a ‘Targeted Individual.’ Maybe We All Are.
The Tyranny of Stuctureless. The Genius Neuroscientist Who Might Hold the Key to True AI. Deep Learning SIMPLIFIED. The POLITICO 50 - 50 Ideas Driving Politics (and the People Behind Them) To Curb Fake News and Hate, We Need a Little Less Speech. Probabilistic causation. Traffic analysis. Traffic analysis is the process of intercepting and examining messages in order to deduce information from patterns in communication, which can be performed even when the messages are encrypted.[1] In general, the greater the number of messages observed, or even intercepted and stored, the more can be inferred from the traffic.
Traffic analysis can be performed in the context of military intelligence, counter-intelligence, or pattern-of-life analysis, and is a concern in computer security. Traffic analysis tasks may be supported by dedicated computer software programs. Advanced traffic analysis techniques may include various forms of social network analysis. Breaking the anonymity of networks[edit] In military intelligence[edit] In a military context, traffic analysis is a basic part of signals intelligence, and can be a source of information about the intentions and actions of the target.
Traffic flow security[edit] Traffic-flow security is one aspect of communications security. [edit] Mental Models I Find Repeatedly Useful - Gabriel Weinberg - Pocket. Mental Models I Find Repeatedly Usefulyegg View OriginalMental Models I Find Repeatedly UsefulAround 2003 I came across Charlie Munger’s 1995 speech, The Psychology of Human Misjudgment, which introduced me to how behavioral economics can be applied in business and investing.