Beyond the Spreadsheet: Reimagining What Counts as Information Today
We tend to think of information as something clean, something that lives in a database or a textbook, yet the truth is far messier and more interesting. Take a beating human heart as a starting point. While a doctor sees a muscle, an information theorist sees a rhythmic data stream where the intervals between beats—measured in milliseconds—carry instructions for the entire nervous system. If those intervals become too predictable, the system is failing. But if they contain the right kind of "noise," the body is adapting to its environment. This is information in its most visceral form, and we're far from fully understanding how these biological signals translate into what we call "health."
The Shannon Entropy Paradox
Claude Shannon, the father of information theory, famously suggested that information is actually a measure of surprise. If I tell you it is sunny in the Sahara Desert, I have given you almost zero information because the probability of that event was already near 100 percent. However, if a weather report from 1979 recorded snow in the Sahara, that constitutes high information because it was unexpected. Which explains why a random string of characters like "qx9\#Lp" contains more "information" in a technical sense than the word "apple." It’s counterintuitive, isn't it? We confuse meaning with information constantly, yet the two are distant cousins that only occasionally speak to one another.
Environmental Indicators as Data Points
Nature doesn't use Wi-Fi, yet it is saturated with data. Consider the dendrochronology of a Bristlecone Pine in the White Mountains of California. Each ring is a physical record of precipitation, temperature, and atmospheric carbon levels from centuries ago. These rings aren't just wood; they are a hard drive of the Earth's climate history. When a scientist drills a core sample, they aren't looking for timber—they are "downloading" a historical sequence. Is a tree ring information? Only if there is a receiver capable of decoding the pattern, otherwise it’s just a circle in a stump.
The Digital Layer: How Modern Systems Encode Our Reality
The issue remains that we are currently drowning in a specific type of information: the binary kind. Every JPEG image of a sunrise uploaded to a server in Virginia is just a massive collection of discrete values representing color and brightness. But people don't think about this enough—the image itself isn't the information. The information is the specific arrangement of those bits that allows your phone to reconstruct the image. If you change just a few values, the "information" is corrupted and the image vanishes into a digital static. It is a fragile, artificial construct that we have come to rely on for almost every human interaction.
Financial Signals and Market Sentiment
Look at the Bloomberg Terminal, a tool that costs roughly 24,000 dollars a year per user. Why pay that? Because it provides a specific type of information: "Alpha." This isn't just the price of gold or the value of the Yen; it's the speed at which that data arrives. In high-frequency trading, information is measured in microseconds. A 10-millisecond delay in receiving the news of a central bank's interest rate hike can mean the difference between a million-dollar profit and a catastrophic loss. Here, the examples of information are the "bid-ask spreads" and the "order book depth," which are essentially just whispers of what other humans (or their algorithms) are planning to do next.
Metadata: The Information About Information
There is a hidden layer to every email you send. While you care about the text, the "Header" of the email contains the IP address of the sender, the time it passed through various servers, and the cryptographic signature that proves it isn't spam. This metadata is often more valuable than the content itself. Law enforcement agencies don't always need to hear your phone calls to know what you're doing; they just need the "call detail records"—who you called, for how long, and from where. That changes everything about our concept of privacy. It turns out that the context surrounding a message is a much more robust example of information than the message itself.
Genetic Information and the Script of Life
I find it fascinating that we use the word "code" for both software and DNA, because the comparison is more than a metaphor. Inside every cell of your body is a 3.2-billion-base-pair sequence known as the human genome. This is the ultimate example of information. It is a four-letter alphabet—A, C, G, and T—that provides the blueprints for building a protein-based machine. But here is where it gets tricky: most of that code doesn't actually "code" for proteins. For a long time, we called it "junk DNA," but we were wrong. It acts as a regulatory network, a sort of biological operating system that tells the other genes when to turn on and off.
The Epigenetic Overlay
If DNA is the hardware, epigenetics is the software. You can have two identical twins with the exact same genetic information, yet one develops a certain condition while the other doesn't. This happens because chemical tags called methyl groups attach to the DNA, effectively silencing or amplifying certain signals. This environmental feedback is information that the body collects over a lifetime. It’s an adaptive layer that proves information isn't static; it’s a conversation between the organism and its surroundings. Honestly, it's unclear where the "program" ends and the "user" begins in this biological context.
Information vs. Knowledge: A Crucial Distinction in the Modern Era
We often use these terms interchangeably, yet they are fundamentally different. Information is the raw ingredient, while knowledge is the finished dish. If I give you a list of 1,000 stock prices, I have given you a wealth of information. But unless you understand the macroeconomic trends or the specific industry sectors those companies belong to, you have zero knowledge. Knowledge requires a framework, a way to connect disparate data points into a coherent narrative. As a result: we live in an "Information Age" that is remarkably low on actual knowledge.
The Entropy of Misinformation
What happens when the information is intentionally wrong? A deepfake video of a politician is a perfect example of high-density information that is factually void. It contains all the visual data of a real human—the micro-expressions, the vocal inflections, the lighting—but it points to a reality that doesn't exist. This is "disinformation," a subset where the signal is designed to create a false map of the world. Experts disagree on how to fight this, but the problem is that our brains are evolved to trust high-fidelity information. We are simply not wired to handle data that looks this "real" while being entirely synthetic.
Cultural Information and Social Memetics
Culture itself is a massive, decentralized information system. Think of a traditional recipe for sourdough bread passed down through four generations in a French village. That recipe is a compressed packet of information about local grains, bacterial strains, and atmospheric humidity. It doesn't need to be written in a book to exist; it exists in the "wetware" of the people practicing it. This is what Richard Dawkins called a "meme"—a unit of cultural information that replicates and evolves. But unlike a digital file, cultural information is prone to "drift," changing slightly every time it is shared, which makes it a living, breathing entity rather than a fixed record.
The Pitfall of Confusing Signal with Meaning
The problem is that most people treat data and contextualized intelligence as interchangeable synonyms. They are not. If you find a scrap of paper with the number 42, you have data, but you possess zero information because the reference frame is missing. Is it a temperature? A debt? A galactic hitchhiker's punchline? Because meaning requires a relationship between the observer and the observed, information only exists when it reduces uncertainty. Shannon Entropy provides the mathematical backbone here, suggesting that the more surprising a message is, the more information it contains. Yet, we frequently drown in predictable noise.
The Illusion of Digital Permanence
We assume digital storage is an eternal vault for structured data examples. Let's be clear: bit rot is real. Magnetic charges flip and SSD cells leak voltage over decades, turning your precious "information" into a soup of unreadable zeros. Except that we ignore this. We hoard terabytes of metadata-heavy files under the delusion that access equals understanding. It does not. A hard drive full of unindexed raw sensor logs is just an expensive paperweight. You must distinguish between the medium and the message. If the format is proprietary and the company goes bankrupt, your information evaporates.
Quantity Does Not Equal Quality
Does a 500-page manual contain more information than a single red stop sign? Not necessarily. The stop sign triggers an immediate, high-utility behavioral response. Contrast this with the manual, which might contain 90 percent filler or redundant "safety warnings" that your brain automatically filters out. In short, the volume of bits transmitted is a poor proxy for the impact on the recipient. We suffer from semantic saturation. When every notification pings with the same urgency, the actual information content drops to zero.
The Entropy of Human Gossip
The issue remains that we overlook the most potent examples of information: the social ripple. When a CEO whispers a merger hint to a friend, that tiny sequence of phonemes carries more weight than a thousand official press releases. Why? Because it possesses asymmetric value. Information is a weapon of timing. Once everyone knows a fact, its informational "energy" or "potential" hits a baseline. It becomes a commodity. To truly master this domain, you must hunt for the "delta"—the change between what was expected and what occurred.
The Expert Pivot: Information as Action
I argue that information is not a "thing" you have, but a "change" you undergo. If you read a book and your behavior remains identical, did you actually process information? Or did you just engage in a sophisticated form of optical scanning? (I suspect the latter happens more than we care to admit). The Pragmatic Theory of Information suggests that the value is found in the "difference that makes a difference." As a result: stop collecting facts. Start mapping how specific data points alter your decision-making tree. If it doesn't change the probability of your next move, it is just decorative noise.
Frequently Asked Questions
What are the most common examples of information in a business setting?
In the corporate sphere, key performance indicators (KPIs) and financial ledgers serve as the primary conduits for steering. For instance, a Net Promoter Score (NPS) of 75 conveys far more actionable intelligence than a raw list of 10,000 customer names. The issue remains that 65 percent of companies struggle with data silos, where information exists but remains trapped in inaccessible departments. Real-world examples of information include quarterly revenue growth rates, employee turnover percentages, and supply chain lead times. These metrics allow executives to move from gut-feeling guesses to probabilistic forecasting.
How do scientists define information in biological systems?
Biological information is primarily encoded in the nucleotide sequences of DNA, acting as a blueprint for protein synthesis. The human genome contains approximately 3.2 billion base pairs, yet only about 1.5 percent of this actually codes for proteins. This non-coding DNA was once dismissed as "junk," but we now know it provides regulatory metadata that tells genes when to turn on or off. Which explains why genetic information is more like an operating system than a simple list of ingredients. It is a dynamic, error-correcting code that has survived billions of years of environmental pressure.
Can physical objects be considered examples of information?
Absolutely, through the lens of physical informatics and archaeology. A tree's growth rings provide a historical climate record, where a thin ring denotes a year of drought and a thick one suggests heavy rainfall. Similarly, the isotopic signature in a piece of ancient pottery can reveal the geographic origin of the clay used. The information is "written" into the physical structure of the matter itself. But is it information if there is no one there to read the rings? In a quantum mechanical sense, the state of every particle—its spin, position, and velocity—represents a discrete unit of information that cannot be destroyed.
Toward a Kinetic Philosophy of Information
We must stop treating examples of information as static trophies to be gathered in digital warehouses. This passive hoarding is a cognitive trap that leads to paralysis rather than power. Information is inherently kinetic; it only proves its existence when it collides with a mind or a machine and forces a reconfiguration of the status quo. If your data doesn't provoke a measurable shift in entropy or an alteration in strategy, it is a ghost. We live in an era where the cost of acquiring data has plummeted to near zero, yet the price of synthesizing meaning has skyrocketed. My stance is simple: value the filter more than the pipe. In a world of infinite signals, the most profound information is the choice of what to ignore.