Browse Definitions :
Definition

falsifiability

Contributor(s): Ivy Wigmore

Falsifiability is the capacity for some proposition, statement, theory or hypothesis to be proven wrong. That capacity is an essential component of the scientific method and hypothesis testing. In a scientific context, falsifiability is sometimes considered synonymous with testability.

In hypothesis testing, the null hypothesis usually states the contrary of the experimental or alternative hypothesis. The null hypothesis provides the basis of falsifiability, describing what the outcome would demonstrate, should the prediction of the hypothesis not be supported by the study. The researcher's hypothesis might predict, for example, that fewer hours working correlates to lower employee productivity. The null hypothesis would be that fewer hours working is correlated with higher productivity, or that there is no change when employees spend less time at work.

The requirement of falsifiability means that conclusions cannot be drawn from simple observation of a particular phenomenon. The black swan problem is an illustration: If a man lives his life seeing only white swans and never knows that there are any non-white swans, he might assume that all swans are white. For falsifiability, it isn't necessary to know that there are black swans but simply to understand that the statement "All swans are white" would be disproven should a single non-white swan exist.

The Austrian philosopher and scientist Karl Popper (1902-1994) introduced the concept of falsifiability in his writings on the demarcation problem, which explored the difficulty of separating science from pseudo-science.

Watch a brief tutorial about falsifiability:

This was last updated in January 2017

Continue Reading About falsifiability

Join the conversation

3 comments

Send me notifications when other members comment.

Please create a username to comment.

Your definition "Falsifiability is the capacity for some proposition, statement, theory or hypothesis to be proven wrong" seems to convey the  basic idea , but it is a false impression.  It is true that a falsifiable statement can be proven wrong, but it's not the definition. It misses the most important and basic idea of the definition, which is how it can be proven wrong.  This is made clear  by the fact that you next exemplify this statement in terms of the empirical concept of statistical tests.  Falsifiability has nothing to do with empirical testing, except very indirectly in the definition of the empirical basis (i.e. the set basic statements, also called observation statements).  One key point is that the definition of the empirical basis is purely a convention, not an arbitrary convention, but still a convention, because there is no rigorous procedure to define it. This is well accepted by most, if not all philosophers. It's called the problem of the empirical basis.   For that reason alone, a rigorous definition of falsifiability must accept the set of basic statements as a parameter that is fixed in advance.  Once this set is fixed, then it can be stated rigorously.  For example, consider the statement "All unicorns are white".  This is not falsifiable, but why?  It has the same form as "All swans are white."  The reason is that "There is a  black swan now on this river" is an accepted  basic statement, by convention, whereas  "There is a black unicorn now on  this road" is not a valid basic statement.  One  might think that this is only a technical detail and the  basic idea is still that it can be empirically proven false, say using a statistical test.  This would be bad thinking. The problem with an empirical view on the notion of falsifiability is more than only this technical detail.  Consider the law "No heavy dense object  will reach the ground from a given altitude 10 times faster than another heavy dense object from the same altitude and made with the same material." We are  being very conservative here.  We know that the material does not matter and they will reach the ground at the same time.  This is a very good example of a falsifiable statement, because the story says that it was believed to be false before Galileo, but it is, of course, true.  So, at the time, if someone had said  that this law is falsifiable, nobody would have objected.  Now, the key point about the  notion of falsifiability is that it does not depend upon whether or not the theory is true.  If the law is true, then it is not possible at all to contradict the law. In this example, it is clear that nobody will ever succeed to describe an experiment with two objects that contradicts the law.  So, the definition is not "the capacity ... to be proven wrong" when this capacity is interpreted empirically.  At the end, you say something along these lines:  "For falsifiability, it isn't necessary to know that there are black swans but simply to understand that the statement 'All swans are white' would be disproven should a single non-white swan exist."  Yes, but you only say it at the end, and it is not consistent with your interpretation of the definition in terms of  empirical tests. This statement should appear earlier, because it is an essential part of the basic idea of the definition.  But,  it only help to convey this basic idea.  It does not address the issue of the empirical basis. For example, I could say that "All unicorns are white" is falsifiable,  because  we all understand that the statement 'All unicorns are white' would be disproven should a single non-white unicorn exist."   You see, the basic concepts are missing. It is an insult to the genious of Popper to say that we can convey even only the basic ideas  without mentioning at the least informally, in some way, the notion that some statements such as statements about unicorns are not (valid) basic statements to falsify a law and that a statement is falsifiable if it is contradicted by some (valid) basic statements.
Cancel
When I say that "All unicorns are white" is not falsifiable, I assume that there is no  convention to accept this basic statement as an empirical statement. Of course, as I said, this is a question of convention. Perhaps, some people will accept as convention that a unicorn is a valid empirical concept. For example, any animal that looks like a horse, but has a horn on his head might be their convention for what is an unicorn. Of course, the magical aspect is missing, so it is unlikely to be a well accepted convention.  Anyway, for the point that I am making here, we simply have to assume that there is no accepted convention on what is a unicorn that is also accepted as empirical.
Cancel
I meant, I assume that there is no convention to accept a basic statement such as "this unicorn now on the road is  black" as empirical.
Cancel

-ADS BY GOOGLE

File Extensions and File Formats

SearchCompliance

  • compliance audit

    A compliance audit is a comprehensive review of an organization's adherence to regulatory guidelines.

  • regulatory compliance

    Regulatory compliance is an organization's adherence to laws, regulations, guidelines and specifications relevant to its business...

  • Whistleblower Protection Act

    The Whistleblower Protection Act of 1989 is a law that protects federal government employees in the United States from ...

SearchSecurity

  • RSA algorithm (Rivest-Shamir-Adleman)

    The RSA algorithm is the basis of a cryptosystem -- a suite of cryptographic algorithms that are used for specific security ...

  • remote access

    Remote access is the ability to access a computer or a network remotely through a network connection.

  • IP Spoofing

    IP spoofing is the crafting of Internet Protocol (IP) packets with a source IP address that has been modified to impersonate ...

SearchHealthIT

SearchDisasterRecovery

  • network disaster recovery plan

    A network disaster recovery plan is a set of procedures designed to prepare an organization to respond to an interruption of ...

  • virtual disaster recovery

    Virtual disaster recovery is a type of DR that typically involves replication and allows a user to fail over to virtualized ...

  • tabletop exercise (TTX)

    A tabletop exercise (TTX) is a disaster preparedness activity that takes participants through the process of dealing with a ...

SearchStorage

  • enterprise storage

    Enterprise storage is a centralized repository for business information that provides common data management, protection and data...

  • disk array

    A disk array, also called a storage array, is a data storage system used for block-based storage, file-based storage or object ...

  • optical storage

    Optical storage is any storage type in which data is written and read with a laser. Typically, data is written to optical media, ...

Close