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Home / Gallery / Laws

Laws

A visual collection of fundamental laws of nature, physics, and society that govern our universe.

Personalities Quotes Arts Books Languages Operating Systems Protocols Databases Data Formats Facts Laws Jokes Versus Dictionary Gadgets
Showing 72 of 72 laws
First Law of Robotics
1942

First Law of Robotics

Isaac Asimov • United States
“A robot may not injure a human being or, through inaction, allow a human being to come to harm.”
Summary

The First Law prioritizes human safety above all else, ensuring that artificial intelligence acts as a benevolent protector of humanity. It forms the core ethical foundation of Asimov's robotic universe.

Use Cases
  • A robot pushing a person out of the path of a speeding vehicle.
  • A medical robot intervening to prevent a harmful surgical error.
#Robotics #Ethics #AI #Safety
Second Law of Robotics
1942

Second Law of Robotics

Isaac Asimov • United States
“A robot must obey the orders given it by human beings except where such orders would conflict with the First Law.”
Summary

This law establishes a hierarchy of command, prioritizing human authority while maintaining the absolute mandate of human safety above obedience. It creates complex logical dilemmas when obedience risks indirect harm.

Use Cases
  • A robot performing hazardous mining operations as instructed by its human supervisor.
  • A robot refusing an order to attack another person, as it violates the First Law.
#Robotics #Ethics #Obedience #Logic
Third Law of Robotics
1942

Third Law of Robotics

Isaac Asimov • United States
“A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.”
Summary

This law ensures the preservation of valuable robotic assets, allowing for self-defense and evasion, provided it does not endanger humans or violate a direct human command. It introduces a vital but lowest-priority survival instinct.

Use Cases
  • A robot shielding itself from falling debris.
  • A robot sacrificing itself to save a human, overriding its own survival directive.
#Robotics #Ethics #Survival #AI
Newton's First Law
1687

Newton's First Law

Isaac Newton • England
“An object at rest stays at rest and an object in motion stays in motion with the same speed and in the same direction unless acted upon by an unbalanced force.”
Summary

This law defines inertia, the tendency of objects to resist changes in their state of motion. It implies that force is not needed to keep an object moving, but to change its motion. It sets the reference frame for classical mechanics.

Use Cases
  • A hockey puck sliding on ice continues until friction stops it.
  • You lurch forward in a car when the brakes are applied suddenly.
#Physics #Mechanics #Inertia #Motion
Newton's Second Law
1687

Newton's Second Law

Isaac Newton • England
“F = ma”
Summary

The acceleration of an object as produced by a net force is directly proportional to the magnitude of the net force, in the same direction as the net force, and inversely proportional to the mass of the object. It quantifies the effect of force on motion.

Use Cases
  • Pushing a car requires more force than pushing a bicycle to achieve the same acceleration.
  • A rocket needs immense force to lift its heavy mass.
#Physics #Mechanics #Force #Acceleration
Newton's Third Law
1687

Newton's Third Law

Isaac Newton • England
“For every action, there is an equal and opposite reaction.”
Summary

This law states that forces always occur in pairs. If object A exerts a force on object B, then object B simultaneously exerts a force of equal magnitude and opposite direction on object A. It explains interactions between objects.

Use Cases
  • When you push a wall, the wall pushes back.
  • A bird flies by pushing air down, and the air pushes the bird up.
#Physics #Mechanics #Action #Reaction
Zeroth Law of Thermodynamics
1931

Zeroth Law of Thermodynamics

Ralph H. Fowler • United Kingdom
“If two systems are each in thermal equilibrium with a third system, they are in thermal equilibrium with each other.”
Summary

This law establishes the basis for temperature measurement. It implies that temperature is a fundamental property of matter. It was formulated after the first three laws but is considered more fundamental.

Use Cases
  • If thermometer A reads the same temperature as object B, and also object C, then B and C are at the same temperature.
  • Coffee in a cup eventually reaches room temperature.
#Physics #Thermodynamics #Equilibrium #Temperature
First Law of Thermodynamics
1850

First Law of Thermodynamics

Rudolf Clausius • Germany
“Energy cannot be created or destroyed, only transformed from one form to another.”
Summary

The total energy of an isolated system remains constant. It connects work and heat as forms of energy transfer. It denies the possibility of a perpetual motion machine of the first kind.

Use Cases
  • Electrical energy turns into heat and light in a lightbulb.
  • Chemical energy in food is converted to kinetic energy in your body.
#Physics #Thermodynamics #Energy #Conservation
Second Law of Thermodynamics
1824

Second Law of Thermodynamics

Rudolf Clausius / Sadi Carnot • France / Germany
“The entropy of an isolated system always increases over time.”
Summary

Natural processes are irreversible and tend toward disorder (entropy). Heat always flows spontaneously from hotter to colder regions. It sets the direction of time and the limits of efficiency for heat engines.

Use Cases
  • Ice melts in a warm room, but water doesn't spontaneously freeze in a warm room.
  • A broken egg cannot spontaneously reassemble.
#Physics #Thermodynamics #Entropy #Irreversibility
Third Law of Thermodynamics
1906

Third Law of Thermodynamics

Walther Nernst • Germany
“The entropy of a perfect crystal at absolute zero is exactly equal to zero.”
Summary

It is impossible to reach absolute zero in a finite number of steps. As temperature approaches absolute zero, the entropy of a system approaches a constant minimum.

Use Cases
  • Superconductors display unique properties near absolute zero.
  • Molecular motion theoretically stops at absolute zero.
#Physics #Thermodynamics #Entropy #Absolute Zero
Say's Law
1803

Say's Law

Jean-Baptiste Say • France
“Supply creates its own demand.”
Summary

Aggregate supply creates its own aggregate demand; production acts as the source of demand. It suggests that overproduction is impossible in the long run because producing goods generates income to buy other goods. This principle is a cornerstone of classical economics.

Use Cases
  • A baker produces bread not to keep it, but to sell it and buy other goods.
  • Technological advancements that increase production eventually lead to higher consumption.
#Economics #Classical #Supply #Demand
Coulomb’s Law
1785

Coulomb’s Law

Charles-Augustin de Coulomb • France
“The magnitude of the electrostatic force is directly proportional to the product of the magnitudes of charges and inversely proportional to the square of the distance between them.”
Summary

It describes the force interacting between static electrically charged particles. Similar to Newton's gravity, but for electric charges (and can be repulsive). It is fundamental to electromagnetism.

Use Cases
  • Two balloons rubbed on hair repel each other.
  • Dust sticking to a TV screen due to static electricity.
#Physics #Electromagnetism #Force #Charge
Ohm’s Law
1827

Ohm’s Law

Georg Ohm • Germany
“V = IR”
Summary

The current flowing through a conductor between two points is directly proportional to the voltage across the two points. It defines the relationship between the three fundamental electrical variables in a circuit.

Use Cases
  • Dimming a light by increasing resistance.
  • Using a resistor to control current in an LED circuit.
#Physics #Electronics #Electricity #Circuit
Lenz’s Law
1834

Lenz’s Law

Heinrich Lenz • Russia
“The direction of the electric current induced in a conductor by a changing magnetic field is such that the magnetic field created by the induced current opposes the initial changing magnetic field.”
Summary

It explains the direction of induced current. It is a qualitative law that specifies the direction of induced current but states nothing about its magnitude. It ensures the conservation of energy in electromagnetic circuits.

Use Cases
  • Regenerative braking in electric trains.
  • Eddy current brakes in roller coasters.
#Physics #Electromagnetism #Induction #Energy
Faraday’s Law of Induction
1831

Faraday’s Law of Induction

Michael Faraday • England
“The electromotive force around a closed path is equal to the negative of the time rate of change of the magnetic flux enclosed by the path.”
Summary

It describes how an electric field interacts with a magnetic circuit to produce an electromotive force (EMF). It is the fundamental operating principle of transformers, inductors, and many types of electrical motors and generators.

Use Cases
  • Electric generators producing power.
  • Induction cooktops heating pans.
#Physics #Electromagnetism #Flux #EMF
Kepler’s Laws of Planetary Motion
1609

Kepler’s Laws of Planetary Motion

Johannes Kepler • Germany
“Planets move in elliptical orbits with the Sun at one focus.”
Summary

Three scientific laws describing the motion of planets around the Sun. They describe the shape of the orbit, the speed of the planet, and the relationship between distance and orbital period. They improved upon Copernican theory.

Use Cases
  • Calculating the orbit of Mars.
  • Determining the period of a newly discovered exoplanet.
#Astronomy #Physics #Planets #Orbits
Hubble’s Law
1929

Hubble’s Law

Edwin Hubble • USA
“v = H0 * D”
Summary

Galaxies are moving away from Earth at speeds proportional to their distance. The farther they are, the faster they are moving away. This observation provided the first observational evidence for the expansion of the universe.

Use Cases
  • Estimating the age of the universe.
  • Measuring distances to remote galaxies.
#Astronomy #Cosmology #Expansion #Universe
Moore’s Law
1965

Moore’s Law

Gordon Moore • USA
“The number of transistors on a microchip doubles about every two years, though the cost of computers is halved.”
Summary

This observation established the cadence for the semiconductor industry, driving rapid technological progress and price reductions in electronics for decades.

Use Cases
  • Processing power of smartphones.
  • Memory storage density.
#Computing #Hardware #Exponential Growth #Transistors
Parkinson’s Law
1955

Parkinson’s Law

Cyril Northcote Parkinson • UK
“Work expands so as to fill the time available for its completion.”
Summary

An observation that the amount of work required is adjusted to the time available for its completion, rather than the complexity of the task itself.

Use Cases
  • Bureaucratic expansion.
  • Last-minute student assignments.
#Management #Productivity #Efficiency #Bureaucracy
Cunningham’s Law
1990s

Cunningham’s Law

Ward Cunningham • USA
“The best way to get the right answer on the internet is not to ask a question; it's to post the wrong answer.”
Summary

People are more compelled to correct a wrong answer than to helpfully answer a question. It leverages the human urge to correct others.

Use Cases
  • Posting incorrect code on StackOverflow.
  • Misidentifying a hobbyist detail on Reddit.
#Internet #Psychology #Collaboration #Social Media
Godwin’s Law
1990

Godwin’s Law

Mike Godwin • USA
“As an online discussion grows longer, the probability of a comparison involving Nazis or Hitler approaches 1.”
Summary

An adage about Internet culture. It asserts that if an online discussion (regardless of topic or scope) goes on long enough, sooner or later someone will compare someone or something to Hitler or Nazism.

Use Cases
  • Political debates on Facebook.
  • Heated forum threads.
#Internet #Culture #Argument #Fallacy
Poe’s Law
2005

Poe’s Law

Nathan Poe • Internet
“Without a clear indicator of the author's intent, it is impossible to create a parody of extreme views so obviously exaggerated that it cannot be mistaken by some readers for a sincere expression of the views being parodied.”
Summary

It highlights the difficulty of distinguishing between sincerity and satire in text-based communications where voice and body language are missing.

Use Cases
  • Satirical news articles taken seriously.
  • Sarcastic comments on social media.
#Internet #Satire #Communication #Misinterpretation
Metcalfe’s Law
1980

Metcalfe’s Law

Robert Metcalfe • USA
“The value of a telecommunications network is proportional to the square of the number of connected users of the system (n²).”
Summary

Explain network effects. A single fax machine is useless, but the value of every fax machine increases with the total number of fax machines in the network.

Use Cases
  • Social media platforms (Facebook).
  • Telephone networks.
#Networking #Value #Growth #Network Effect
Brooks's Law
1975

Brooks's Law

Fred Brooks • USA
“Adding manpower to a late software project makes it later.”
Summary

This law claims that adding more people to a late project increases communication overhead and training time, delaying the project further.

Use Cases
  • Rushing software releases.
  • Kitchens with too many cooks.
#Management #Software #Productivity #Efficiency
Boyle’s Law
1662

Boyle’s Law

Robert Boyle • Ireland
“P1V1 = P2V2”
Summary

For a fixed mass of an ideal gas kept at a fixed temperature, pressure and volume are inversely proportional. If you decrease volume, pressure increases.

Use Cases
  • Squeezing a balloon.
  • A syringe plunger.
#Physics #Chemistry #Gas #Pressure
Murphy’s Law
1949

Murphy’s Law

Edward A. Murphy Jr. • USA
“Anything that can go wrong will go wrong.”
Summary

A humorous axiom stating that if there are two or more ways to do something, and one of those ways can result in a catastrophe, then someone will do it.

Use Cases
  • Butter side down toast.
  • Traffic jams when late.
#Probability #Pessimism #Risk #Observation
Charles’s Law
1780s

Charles’s Law

Jacques Charles • France
“V1/T1 = V2/T2”
Summary

When the pressure on a sample of a dry gas is held constant, the Kelvin temperature and the volume will be in direct proportion. Gases expand when heated.

Use Cases
  • Hot air balloons.
  • Car tires expanding in summer.
#Physics #Chemistry #Gas #Temperature
Avogadro’s Law
1811

Avogadro’s Law

Amedeo Avogadro • Italy
“V/n = k”
Summary

Equal volumes of all gases, at the same temperature and pressure, have the same number of molecules. It relates the volume of a gas to the amount of substance (moles).

Use Cases
  • Inflating a tire increases the number of gas molecules and volume.
  • Breathing in fills lungs with more air molecules.
#Physics #Chemistry #Gas #Moles
Law of Large Numbers
1713

Law of Large Numbers

Jacob Bernoulli • Switzerland
“The average of the results obtained from a large number of trials should be close to the expected value and will tend to become closer as more trials are performed.”
Summary

It guarantees stable long-term results for random events. Casinos rely on this law to ensure profitability over time despite individual wins.

Use Cases
  • Coin flipping approaches 50/50 over many flips.
  • Insurance companies setting premiums.
#Statistics #Probability #Mathematics #Average
Benford’s Law
1938

Benford’s Law

Frank Benford • USA
“In many naturally occurring collections of numbers, the leading digit is likely to be small.”
Summary

Also known as the first-digit law. The number 1 appears as the leading significant digit about 30% of the time, while 9 appears less than 5% of the time. Used to detect fraud.

Use Cases
  • Accounting fraud detection.
  • Population statistics.
#Statistics #Math #Data #Distribution
Law of Supply and Demand
1890

Law of Supply and Demand

Alfred Marshall • UK
“The price of a good rises when demand is high and supply is low, and falls when demand is low and supply is high.”
Summary

It describes the interaction between the sellers of a resource and the buyers for that resource. It defines the effect that the availability of a particular product and the desire (or demand) for that product has on price.

Use Cases
  • House prices rising in popular cities.
  • Clearance sales for out-of-season clothes.
#Economics #Market #Price #Trade
Law of Diminishing Returns
18th Century

Law of Diminishing Returns

Turgot / Ricardo • Europe
“Adding more of one factor of production, while holding others constant, will at some point yield lower incremental per-unit returns.”
Summary

It states that after some optimal level of capacity is reached, adding an additional factor of production will actually result in smaller increases in output.

Use Cases
  • Adding too many fertilizers to a field.
  • Too many cooks in the kitchen.
#Economics #Production #Efficiency #Output
Gresham’s Law
1558

Gresham’s Law

Thomas Gresham • England
“Bad money drives out good.”
Summary

If two forms of commodity money in circulation are accepted by law as having similar face value, the more valuable commodity will gradually disappear from circulation. People will hoard the 'good' money and spend the 'bad'.

Use Cases
  • Hoarding silver coins when paper money is introduced.
  • Spending depreciating currency first.
#Economics #Money #Currency #Value
Pareto Principle (The 80/20 Law)
1896

Pareto Principle (The 80/20 Law)

Vilfredo Pareto • Italy
“80% of consequences come from 20% of the causes.”
Summary

Also known as the 80/20 rule. It asserts that for many outcomes, roughly 80% of consequences come from 20% of causes (the 'vital few'). It is a common rule of thumb in business and economics.

Use Cases
  • 80% of sales come from 20% of clients.
  • 80% of bugs are caused by 20% of code.
#Economics #Management #Efficiency #Distribution
The Code of Hammurabi
1754 BC

The Code of Hammurabi

Hammurabi • Babylon
“An eye for an eye, a tooth for a tooth.”
Summary

One of the earliest and best-preserved legal codes from ancient Babylon. It established a standardized system of justice with scaled punishments based on social status and the principle of retaliation ('lex talionis').

Use Cases
  • Punishments for theft property damage.
  • Regulations for trade and family law.
#Law #History #Babylon #Justice
The Twelve Tables
449 BC

The Twelve Tables

Decemviri • Rome
“The law of the Twelve Tables binds us all.”
Summary

The legislation that stood at the foundation of Roman law. The Tables consolidated earlier traditions into an enduring set of laws. It is considered the starting point of the Western legal tradition.

Use Cases
  • Procedures for courts and trials.
  • Rights of citizens and property owners.
#Law #Rome #History #Justice
Double Jeopardy
Ancient

Double Jeopardy

Legal Tradition • Global
“No person shall be subject for the same offence to be twice put in jeopardy of life or limb.”
Summary

A procedural defence that prevents an accused person from being tried again on the same (or similar) charges following a valid acquittal or conviction. It protects against government overreach.

Use Cases
  • Being found innocent and then charged again for the exact same crime.
  • Multiple punishments for the same offense.
#Law #Rights #Justice #Constitution
Habeas Corpus
1100s

Habeas Corpus

English Common Law • England
“You shall have the body.”
Summary

A recourse in law through which a person can report an unlawful detention or imprisonment to a court and request that the court order the custodian of the person, usually a prison official, to bring the prisoner to court, to determine if the detention is lawful.

Use Cases
  • Challenging unlawful arrest.
  • Preventing indefinite detention without trial.
#Law #Rights #Freedom #Justice
Betteridge's Law of Headlines
2009

Betteridge's Law of Headlines

Ian Betteridge • UK
“Any headline that ends in a question mark can be answered by the word 'no'.”
Summary

An adage that states if a publisher use a question as a headline, they are likely trying to imply something sensationally false that they cannot back up with facts.

Use Cases
  • 'Is this the end of the world?' (No)
  • 'Did aliens build the pyramids?' (No)
#Journalism #Media #Headlines #Adage
Stigler's Law of Eponymy
1980

Stigler's Law of Eponymy

Stephen Stigler • USA
“No scientific discovery is named after its original discoverer.”
Summary

A law of sociology of science which states that scientific discoveries are rarely named after the person who actually discovered them. Ironically, Stigler acknowledged that Stephen Merton discovered this law.

Use Cases
  • Hubble's Law (Lemaitre derived it earlier)
  • Pythagorean Theorem (Known to Babylonians earlier)
#Science #Sociology #History #Naming
Clarke’s Third Law
1962

Clarke’s Third Law

Arthur C. Clarke • uk
“Any sufficiently advanced technology is indistinguishable from magic.”
Summary

One of Arthur C. Clarke's three laws regarding the future of space and technology. It highlights the wonder and incomprehensibility of advanced future tech to primitive observers.

Use Cases
  • Showing a smartphone to someone from the Middle Ages.
  • Space travel appearing miraculous to ancient civilizations.
#Technology #Future #Magic #Sci-Fi
Heisenberg Uncertainty Principle
1927

Heisenberg Uncertainty Principle

Werner Heisenberg • Germany
“The more precisely the position is determined, the less precisely the momentum is known in this instant, and vice versa.”
Summary

A fundamental concept in quantum mechanics. It states that there is a limit to the precision with which certain pairs of physical properties, such as position and momentum, can be known.

Use Cases
  • Electrons in atoms don't have definite orbits.
  • Measuring a particle's position disturbs its momentum.
#Physics #Quantum #Uncertainty #Mechanics
Pauli Exclusion Principle
1925

Pauli Exclusion Principle

Wolfgang Pauli • Austria
“Two or more identical fermions (particles with half-integer spin) cannot occupy the same quantum state within a quantum system simultaneously.”
Summary

This principle explains the structure of atoms and the stability of matter. It prevents electrons from collapsing into the nucleus and dictates the arrangement of electrons in shells.

Use Cases
  • Electron shell structure in atoms.
  • Stability of white dwarf stars.
#Physics #Quantum #Atoms #Matter
Planck’s Law
1900

Planck’s Law

Max Planck • Germany
“Describes the spectral density of electromagnetic radiation emitted by a black body in thermal equilibrium at a given temperature T.”
Summary

The foundation of quantum mechanics. It solved the 'ultraviolet catastrophe' by proposing that energy is emitted in discrete packets (quanta) rather than continuously.

Use Cases
  • The glow of a hot iron bar.
  • The spectrum of the cosmic microwave background.
#Physics #Quantum #Radiation #Energy
Mass-Energy Equivalence
1905

Mass-Energy Equivalence

Albert Einstein • Switzerland
“E = mc²”
Summary

Energy equals mass times the speed of light squared. It implies that mass and energy are interchangeable; they are different forms of the same thing. A small amount of mass can be converted into a tremendous amount of energy.

Use Cases
  • Nuclear power generation.
  • The energy source of the Sun.
#Physics #Relativity #Energy #Mass
Bernoulli’s Principle
1738

Bernoulli’s Principle

Daniel Bernoulli • Switzerland
“An increase in the speed of a fluid occurs simultaneously with a decrease in static pressure or a decrease in the fluid's potential energy.”
Summary

It explains the behavior of fluid flow. Faster moving fluids exert less pressure. It is fundamental to aerodynamics and hydrodynamics.

Use Cases
  • Airplane wings generating lift.
  • A carburetor mixing air and fuel.
#Physics #Fluid Dynamics #Pressure #Flow
Pascal’s Law
1653

Pascal’s Law

Blaise Pascal • France
“A change in pressure at any point in an enclosed fluid at rest is transmitted undiminished to all points in the fluid.”
Summary

The principle behind hydraulic systems. If you apply pressure to a confined fluid, that pressure is distributed equally in all directions.

Use Cases
  • Hydraulic car lifts.
  • Braking systems in vehicles.
#Physics #Fluid Dynamics #Hydraulics #Pressure
Archimedes’ Principle
212 BC

Archimedes’ Principle

Archimedes • Syracuse
“The upward buoyant force that is exerted on a body immersed in a fluid, whether fully or partially, is equal to the weight of the fluid that the body displaces.”
Summary

It explains why objects float or sink. If the weight of the water displaced is equal to the weight of the object, it floats.

Use Cases
  • Ships floating on water.
  • Hot air balloons rising (air displacement).
#Physics #Fluids #Buoyancy #Eureka
Law of Segregation
1865

Law of Segregation

Gregor Mendel • Austria
“During the formation of gametes, the two alleles for a gene separate from each other, so that each gamete carries only one allele for each gene.”
Summary

Mendel's First Law. It explains how traits are inherited from parents to offspring, ensuring genetic variation.

Use Cases
  • Inheritance of eye color.
  • Pea plant hybridization.
#Biology #Genetics #Heredity #Mendel
Law of Independent Assortment
1865

Law of Independent Assortment

Gregor Mendel • Austria
“Genes for different traits can segregate independently during the formation of gametes.”
Summary

Mendel's Second Law. The inheritance of one trait (like color) is not dependent on the inheritance of another trait (like shape), generally speaking (barring linkage).

Use Cases
  • Seed color and seed shape.
  • Genetic diversity.
#Biology #Genetics #Inheritance #Diversity
Bergmann’s Rule
1847

Bergmann’s Rule

Carl Bergmann • Germany
“Populations and species of larger size are found in colder environments, while species of smaller size are found in warmer regions.”
Summary

An ecogeographical rule that correlates body mass with latitude. Larger animals have a lower surface area to volume ratio, helping them retain heat in cold climates.

Use Cases
  • Polar bears are larger than tropical bears.
  • Emperor penguins are the largest penguins and live in Antarctica.
#Biology #Ecology #Evolution #Climate
Allen’s Rule
1877

Allen’s Rule

Joel Asaph Allen • USA
“Animals adapted to cold climates have shorter limbs and bodily appendages than animals adapted to warm climates.”
Summary

Similar to Bergmann's rule but focuses on appendages (ears, tails, limbs). Shorter appendages conserve heat (cold climate), while longer ones radiate heat (warm climate).

Use Cases
  • Arctic hares have short ears; desert hares have huge ears.
  • Inuit populations tend to have stockier builds.
#Biology #Ecology #Evolution #Adaptation
The Square-Cube Law
1638

The Square-Cube Law

Galileo Galilei • Italy
“When an object undergoes a proportional increase in size, its new surface area is proportional to the square of the multiplier and its new volume is proportional to the cube of the multiplier.”
Summary

This mathematical principle explains biomechanical limits. As an animal scales up, its volume (and mass) increases much faster than its surface area (and bone strength), limiting how large land animals can get.

Use Cases
  • Why King Kong couldn't physically exist (his bones would snap).
  • The size limits of insects (respiration via surface area).
#Physics #Biology #Math #Scaling
Dollo's Law
1893

Dollo's Law

Louis Dollo • Belgium
“Evolution is irreversible.”
Summary

An organism is unable to return, even partially, to a previous evolutionary stage already realized in the ranks of its ancestors. Structures once lost are not regained in the same form.

Use Cases
  • Whales cannot re-evolve onto land to potential ancestors.
  • Lost teeth in birds not reappearing.
#Biology #Evolution #Irreversibility #Time
Occam’s Razor
1300s

Occam’s Razor

William of Ockham • England
“Entities should not be multiplied without necessity.”
Summary

The Law of Parsimony. Among competing hypotheses that predict equally well, the one with the fewest assumptions should be selected. The simplest explanation is usually the correct one.

Use Cases
  • Medical diagnosis: look for one disease illustrating symptoms, not three separate ones.
  • Police investigations favoring the most direct suspect.
#Philosophy #Logic #Problem Solving #Razor
Hanlon’s Razor
1980

Hanlon’s Razor

Robert J. Hanlon • USA
“Never attribute to malice that which is adequately explained by stupidity.”
Summary

A philosophical razor that eliminates unlikely explanations for human behavior. It suggests that negative actions are more likely caused by incompetence or neglect rather than evil intent.

Use Cases
  • A coworker deleting your file by accident.
  • Bad drivers cutting you off.
#Philosophy #Logic #Behavior #Razor
Hitchens’s Razor
2003

Hitchens’s Razor

Christopher Hitchens • UK
“What can be asserted without evidence can be dismissed without evidence.”
Summary

An epistemological razor that serves as a general rule for rejecting refutable claims that have no basis in fact. The burden of proof lies with the claim-maker.

Use Cases
  • Dismissing conspiracy theories without proof.
  • Rejecting supernatural claims.
#Philosophy #Logic #Evidence #Razor
Hume’s Guillotine
1739

Hume’s Guillotine

David Hume • Scotland
“You cannot derive an 'ought' from an 'is'.”
Summary

The Is-Ought Problem. It states that many writers make claims about what ought to be, based on statements about what is. Hume argued there is a significant difference between descriptive statements (about facts) and prescriptive statements (about values).

Use Cases
  • Just because we have an aggressive instinct (is) doesn't mean we should fight (ought).
  • Naturalistic fallacy.
#Philosophy #Ethics #Logic #Values
Law of Non-Contradiction
Ancient

Law of Non-Contradiction

Aristotle • Greece
“Contradictory propositions cannot both be true in the same sense at the same time.”
Summary

One of the three classic laws of thought. Nothing can both exist and not exist at the same time and in the same respect. It is fundamental to logic.

Use Cases
  • Something cannot be both a circle and a square.
  • It cannot be raining and not raining here right now.
#Philosophy #Logic #Truth #Reason
Lanchester's Laws
1916

Lanchester's Laws

Frederick Lanchester • UK
“In modern warfare, the power of a force is proportional to the square of its numerical strength.”
Summary

Mathematical formulae for calculating the relative strengths of military forces. The Linear Law applies to ancient combat (1-on-1), while the Square Law applies to modern combat with ranged weapons.

Use Cases
  • Strategy in RTS games (StarCraft).
  • Military attrition calculations.
#Military #Math #Strategy #Combat
Rule of 3 (Survival)
Unknown

Rule of 3 (Survival)

Survivalists • Global
“You can survive 3 minutes without air, 3 hours without shelter (in harsh weather conditions), 3 days without water, and 3 weeks without food.”
Summary

A roughly accurate rule of thumb for human survival priorities in extreme conditions. It helps prioritize immediate needs in emergency situations.

Use Cases
  • Prioritizing shelter in harsh weather (3 hours).
  • Finding water before food.
#Survival #Biology #Health #Rule
The 1 in 60 Rule
20th Century

The 1 in 60 Rule

Aviators • Global
“If you are 1 degree off course, you will miss your target by 1 mile for every 60 miles you fly.”
Summary

A rule of thumb used in air navigation. It approximates the trigonometry involved in navigation errors, allowing pilots to make mental calculations and corrections easily.

Use Cases
  • Correcting flight path mid-air.
  • Maritime navigation estimation.
#Navigation #Aviation #Math #Rule
Campbell’s Law
1976

Campbell’s Law

Donald T. Campbell • USA
“The more any quantitative social indicator is used for social decision-making, the more subject it will be to corruption pressures and the more apt it will be to distort and corrupt the social processes it is intended to monitor.”
Summary

Using metrics to judge performance inevitably corrupts the metric. Similar to Goodhart's Law ('When a measure becomes a target, it ceases to be a good measure').

Use Cases
  • Teaching to the test in schools.
  • Gaming social media algorithms.
#Sociology #Metrics #Corruption #Data
Sayre’s Law
1950s

Sayre’s Law

Wallace Sayre • USA
“In any dispute the intensity of feeling is inversely proportional to the value of the issues at stake.”
Summary

Often applied to academic politics: 'Academic politics is the most vicious and bitter form of politics, because the stakes are so low.' Low stakes mean there's no cost to fighting.

Use Cases
  • Bitter arguments over office layout.
  • Departmental faculty meetings.
#Sociology #Politics #Psychology #Conflict
Hofstadter's Law
1979

Hofstadter's Law

Douglas Hofstadter • USA
“It always takes longer than you expect, even when you take into account Hofstadter's Law.”
Summary

A self-referential adage about the difficulty of accurately estimating the time it will take to complete tasks of substantial complexity. It highlights the recursive nature of delays.

Use Cases
  • Software project estimation.
  • Construction delays.
#Management #Time #Planning #Recursion
Littlewood's Law
1986

Littlewood's Law

John Littlewood • UK
“A person can expect to experience an event with odds of one in a million (a 'miracle') at the rate of about one per month.”
Summary

Given the vast number of events a human experiences daily (seeing things, hearing things), statistically improbable coincidences are inevitable over time.

Use Cases
  • Dreaming of a friend and then they call.
  • Running into a neighbor on vacation.
#Statistics #Probability #Miracles #Math
Zipf’s Law
1935

Zipf’s Law

George Kingsley Zipf • USA
“The frequency of any word is inversely proportional to its rank in the frequency table.”
Summary

The most frequent word occurs twice as often as the second most frequent word, three times as often as the third, and so on. It applies to city populations, website traffic, and more.

Use Cases
  • Word frequency in any language (the, of, and).
  • City sizes in a country.
#Linguistics #Statistics #Data #Power Law
Gustafson’s Law
1988

Gustafson’s Law

John Gustafson • USA
“Computations involving arbitrarily large data sets can be efficiently parallelized.”
Summary

A counter to Amdahl's Law. It argues that as computing power increases, we solve larger problems, rather than just solving the same problems faster. Thus, parallelization scales better than Amdahl predicted.

Use Cases
  • Supercomputing simulations.
  • Big Data processing.
#Computing #Parallelism #Scaling #Efficiency
Amdahl’s Law
1967

Amdahl’s Law

Gene Amdahl • USA
“The theoretical speedup of the execution of a task which includes a part that cannot be improved is limited by that part.”
Summary

It defines the maximum improvement possible for a system when only part of the system is improved. If a program is 50% serial, even infinite parallel power will only double the speed.

Use Cases
  • Upgrading a CPU when memory is the bottleneck.
  • Parallel programming limits.
#Computing #Performance #Optimization #Limits
Linus’s Law
1999

Linus’s Law

Linus Torvalds • Finland
“Given enough eyeballs, all bugs are shallow.”
Summary

A claim about software development. It suggests that if there are enough people testing and reviewing code (as in open source), almost every problem will be characterized quickly and the fix will be obvious to someone.

Use Cases
  • Open source software security.
  • Wikipedia accuracy.
#Software #Open Source #Collaboration #Quality
Wirth’s Law
1995

Wirth’s Law

Niklaus Wirth • Switzerland
“Software is getting slower more rapidly than hardware is becoming faster.”
Summary

A computing adage stating that software bloat negates hardware advances. Despite 1000x faster CPUs, modern word processors don't feel 1000x faster than 1990s ones.

Use Cases
  • Electron apps vs native apps.
  • Boot times not improving despite SSDs.
#Computing #Software #Efficiency #Bloat
The Ringelmann Effect
1913

The Ringelmann Effect

Maximilien Ringelmann • France
“Individual effort steadily drops as the group size increases.”
Summary

Discovered by French agricultural engineer Maximilien Ringelmann in 1913 through rope-pulling experiments, this phenomenon shows that as group size increases, individual contribution steadily drops. While two people pull at ~93% of their individual strength, a group of eight pulls at less than 50% per person—a fundamental finding that laid the groundwork for the modern psychological concept of "social loafing".

Use Cases
  • Tug-of-war teams exerting less force per person as more pullers join the rope.
  • Team members reducing individual output in large unstructured group projects.
#Psychology #Social Science #Group Dynamics #Effort

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