CTIU Logs
Correlation is a statistical pattern (two things move together); causation is a cause-and-effect link — and you cannot reliably infer the second from the first.
* A hidden common cause (hot weather) drives both — so ice-cream sales and sunburns correlate without either causing t...
Q What are "bubbles" (echo chambers / filter bubbles), and why are they a hazard for reasoning?
Content is tailored to your existing interests, knowledge and preferences, so you're increasingly served only views you already hold — a "random elimination" of the perspectives that might challenge you.
In a bubble, algorithms adapt what you see to what you already like. The eff...
Q What is the "human-machine" caution about anthropomorphising AI?
Machines are not humans: there is a gap between a machine's enormous performance and its complete lack of consciousness and (genuine) intelligence — and treating it as human-like obscures that gap.
Anthropomorphisation is the tendency to project human qualities — understanding, f...
Q What is the Dunning-Kruger effect, and why does it matter for critical thinking?
People with little competence in an area tend to overestimate how competent they are — precisely because the knowledge needed to judge a skill is the same knowledge needed to have it.
* Across every competence quartile, self-estimates barely move while real ability climbs — so t...
Q Why do social-media algorithms tend to amplify emotional and outrage-driven content?
Because emotional content — especially anger, outrage and indignation — drives engagement, and algorithms reward whatever drives engagement.
* Emotional posts win engagement; the algorithm reads engagement as importance and amplifies them — a self-reinforcing loop that rewards a...
Q What does "garbage in, garbage out" mean for AI bias?
AI learns from existing data, including its one-sided perspectives — so biased inputs produce biased outputs, and a loss of multi-perspectivity.
A model has no view of the world independent of its training data; it absorbs whatever is in that data, including the prejudices and bl...
Q What is the sunk-cost fallacy?
Continuing to invest in something because of what you've already spent, rather than because of what it will return going forward.
* Rational route: treat spent resources as gone and decide on future value; the fallacy is the dashed arrow, letting past spending drive the choice....
Q What is "digital bullshit," and how does it threaten public opinion?
Content produced and spread without regard for truth — pushed by troll farms, bots and "computational propaganda" — that pollutes democratic opinion-forming.
"Digital bullshit" is not the same as lying (a liar at least tracks the truth in order to hide it); it is communication in...
Q Why is controlling your attention — and avoiding doom-scrolling — part of critical thinking?
Critical thinking is partly a matter of attention and care; when you're doom-scrolling, critical thinking is effectively switched off.
The claim is that good thinking has a precondition: deliberate, controlled attention. Practices that fragment and hijack attention — endless scro...
Q Once you're confident you're solving the right problem, which working practices help you build the s...
Involve stakeholders (especially future users), work iteratively with prototypes, "kill your darlings", and test early and often.
* Five execution-phase habits that keep you building the chosen solution well — the counterpart to testing whether you picked the right problem. *
Th...