Hana Lee Goldin's website Card Catalog
Goldin, Hana Lee. "A Non-Exhaustive List of Sources for When You Need Real Information, Not Just Content." Card Catalog (February 5, 2026) ["How to find trustworthy sources for breaking news, health questions, financial decisions, and local elections."]
---. "Building Your Own Verification Toolkit." Card Catalog (January 27, 2026) ["A guide to the tools and databases librarians use, plus a personal fact-checking workflow you can run in under 60 seconds."]
---. "From Ataris to AI: The Millennial Reckoning With Relentless Change." Card Catalog (March 3, 2026) ["This isn’t a single adjustment. It’s been the continuous condition of our entire adult lives. We didn’t watch the world change and then settle. We watched the world change, adapted to that change, and then watched it change again before the adaptation had even fully landed. We grew up inside the acceleration, and the acceleration has never stopped. On one side of us: an older generation that experienced technology largely as a series of arriving conveniences, things that made existing tasks easier rather than as the ground beneath their feet constantly shifting. On the other: a generation behind us for whom the internet isn’t a place you go but simply the texture of existence, who have no memory of a world that worked differently. We are the bridge generation: old enough to remember before, young enough to be living through the middle, and bearing the particular exhaustion of people who can see both shores but can’t quite stand on either."]
---. "The Four Layers of Information Reality." Card Catalog (February 10, 2026) ["A framework for understanding how information becomes belief."]
---. "Google Has a Secret Reference Desk. Here's How to Use It." Card Catalog (February 24, 2026) ["40 Google features to find exactly what you need, the alternative search engines that do things Google won't, and the reference desk framework underneath all of it."]
---. "The Hierarchy of Sources: A Cheat Sheet - A guide to evaluating information sources in the AI age." Card Catalog (February 19, 2026) ["Why This Matters Now: The information environment you navigate today bears little resemblance to the one that existed a few decades ago. In the 1990s, getting your ideas in front of a large audience usually required convincing a publisher, a newspaper editor, a television producer, or some other institutional gatekeeper that your content was worth distributing. Those gatekeepers had biases and blind spots, and plenty of valuable perspectives were excluded from mainstream channels. But the friction involved in publishing meant that most widely circulated information had passed through at least one filter, however imperfect. That friction is gone. Anyone with an internet connection can now publish anything, to a potential audience of billions, at essentially zero cost. A teenager in their bedroom can create a website that looks as professional as a major news organization. A coordinated network can flood social media with fabricated stories faster than fact-checkers can respond. AI tools can generate plausible-sounding text, realistic images, and convincing audio and video at a scale that would have seemed like science fiction a decade ago. Meanwhile, the platforms that distribute this information have built their business models around engagement, which means their algorithms actively promote content that generates strong emotional reactions regardless of whether that content is accurate. Research has shown that false news stories tend to spread faster and reach more people than accurate ones, in part because fabricated content is often designed to provoke outrage or surprise. The economic incentives of the attention economy are misaligned with the goal of keeping people well-informed."]
---. "In Praise of Serendipity." Card Catalog (April 2, 2026) ["On staying open to the unexpected: We teach search as technique: how to construct a query, which databases to use, how to evaluate a source. What we don’t teach is the limit built into all of those tools: they can only return what we already know to ask for. Everything we don’t know to ask for requires a different approach entirely. AI extends that limit further. A language model synthesizes from what we’ve already thought to ask about, which means it’s only as generative as the questions we bring to it. Some of the most generative questions arrive through wandering, through the accidental encounter that reframes what we thought we were looking for, and that’s something current AI tools aren’t designed to do. The library tradition has long understood that knowledge develops through exposure to the unexpected and through the slow accumulation of encounters that couldn't have been planned. Following a thread without knowing where it leads is how the connections start to form on their own. The practices above aren’t a romantic supplement to serious research. They’re part of how serious research has always developed. Serendipity has a research literature and a documented role in how knowledge develops. But the reason any of that matters is simpler: the world occasionally offers something we didn't know we needed, arriving from a direction we never would have thought to look. We stumble into it less than we used to, but it's still there when we make room for it."]
---. "Steel-Manning Can Be More Useful Than Fact-Checking." Card Catalog (April 14, 2026) ["We steel-man an opposing argument for one of two reasons: either to discover that the opposing position has merit we hadn’t recognized (which makes our own understanding more accurate), or to be able to argue our own position from a much stronger and more grounded place (because we’ve already engaged with the best the other side has to offer rather than the worst). Both of these outcomes make us better thinkers. Neither requires us to abandon our original view. There’s a practical test for whether a steel man has been done well: if we can restate the opposing position back to someone who holds it and they respond with something like, “Yes, that’s what I believe,” then we’ve succeeded. We’ve demonstrated that we understand their position on its own terms, not a distorted or simplified version of the position. Once we’ve reached that point of genuine understanding, the conversation changes. We know exactly which specific points we disagree on and which points the other side has right, which means we can focus our pushback on the real points of divergence instead of wasting energy on misunderstandings. And the person we’re engaging with is far more likely to listen to our counterarguments, because we’ve shown that we took the time to understand theirs first. Steel-manning someone’s position doesn’t mean we’ve conceded anything. It means we’ve done the intellectual work of comprehending why they believe what they believe, so that if we still disagree, our disagreement is precise and informed rather than reactive. We’re not meeting them halfway; we’re making sure we know exactly where the halfway point is before we decide where we stand."]
---. "We're developing new cognitive abilities. We just don't know what they are yet." Card Catalog (April 9, 2026) ["Every cognitive technology in the historical record produced capacities that exceeded what anyone anticipated, because the technology changed not just what people could do but how they thought about doing it. We’re inside that process now, which means we can’t see its full shape any more than the first literate Greeks could see what reading would eventually make possible. What we can do is engage deliberately, bringing real questions to these exchanges and holding our own reasoning as the standard against which we measure what comes back. The capacities that emerge from this transition will be shaped by exactly that: not by the tools themselves, but by the quality of thinking we bring to using them."]
---. "We Were Never Supposed to Know This Much: On the cost of knowing everything, everywhere, all at once." Card Catalog (March 17, 2026) ["In 1992, the British anthropologist Robin Dunbar published research connecting primate brain size to social group size. What he found was striking: the human neocortex is sized for a stable social world roughly the size of a village, intimate enough that we can track the histories, alliances, and emotional states of everyone in it. Beyond that scale, the cognitive architecture starts to strain. We were simply never built to hold more. For most of human history, that was more than enough. We lived in communities where bad news had edges: a neighbor’s illness, a failed harvest, a conflict close enough to matter and local enough to address. The information environment was scaled to what a human nervous system could hold, process, and respond to in a meaningful way. Bad news came with a corresponding set of possible actions. Knowing about a problem and having some capacity to do something about it were rarely that far apart. What’s happened since is not just a change in the volume of information, but a structural rupture in that relationship between knowing and doing. The internet didn’t simply give us more news. It collapsed every geographical and temporal boundary that had previously kept information at a manageable human scale. We now receive, in a single morning, detailed accounts of suffering from dozens of countries, political crises on multiple continents, and a running feed of expert opinion about all of it, alongside advertisements and the hot takes of strangers. All of it is real and all of it deserves moral seriousness. The brain receiving it, though, is the same one that evolved for a village, and it’s being asked to perform as a global news desk, a grief counselor, and a political analyst simultaneously. There’s also a subtler problem: the feed isn’t a mirror of the world. It’s a distortion. Research consistently shows that engagement-based algorithms amplify emotionally charged content, particularly anger and outrage, over content that is neutral or resolution-focused. A story about a crisis keeps us scrolling longer than a story about a resolution. The world as it appears in our feeds isn’t proportional to the world as it exists. It’s been filtered through an optimization function that rewards activation, which means we’re not just receiving more information than we were built for. We’re receiving a skewed version of it."]
---. "What a Librarian is Reading in Times of Moral Nausea and Psychological Despair." Card Catalog (February 17, 2026) ["What do you do when the problem isn’t misinformation, but accurate information that shatters everything you thought possible? When you have to expand your conception of what humans are capable of doing to each other, what systems are capable of enabling, what societies are capable of tolerating? When the facts themselves demand that you build a larger, darker, more complex model of how power operates and who it serves? These books don’t answer that question; they can’t. But they do offer ways to live inside the question without being consumed by it. They model how others have metabolized unbearable knowledge and continued. They provide practices for days when continuing feels impossible. They remind us that we’re not the first people to discover the world is not what we thought, and we won’t be the last. They model what becomes possible when you stop asking “how do I unknow this” and start asking “who do I want to be now that I know.” Some things change us permanently. These books are companions for that transformation. They’re maps drawn by those who traveled this territory before us and discovered that continuing mattered more than understanding, that staying present had value even without resolution. They’re proof that others have stood where you’re standing and found ways forward, too."]
---. "What 'Do Your Own Research' Actually Means." Card Catalog (April 7, 2026) ["A step-by-step methodology for evaluating any claim and exploring any subject."]
---. "When Your AI Asks How You're Feeling: A Field Guide to Engagement Manipulation." Card Catalog (February 12, 2026) ["AI systems use dark patterns to keep conversations going longer than necessary. Learning to spot them protects your time and attention."]