In debate or rhetoric, the slippery slope is an argument for the likelihood of one event or trend given another. Invoking the "slippery slope" means arguing that one action will initiate a chain of events that will lead to a (generally undesirable) event later. The argument is sometimes referred to as the thin end of the wedge or the camel's nose.
Use of the slippery slope can be valid or fallacious.
The argument takes on one of various semantical forms:
Eugene Volokh's Mechanisms of the Slippery Slope (PDF version) analyzes various types of such slippage. Volokh uses the example "gun registration may lead to gun confiscation" to describe six types of slippage:
Slippery slope can also be used as a retort to the establishment of arbitrary boundaries or limitations. For example, one might argue that rent prices must be kept to $1,000 or less a month to be affordable to tenants in an area of a city. A retort invoking the slippery slope could go in two different directions:
The slippery slope argument may or may not involve a fallacy (see the discussion on the two interpretative paradigms below: the momentum paradigm and the inductive paradigm). However, the slippery slope claim requires independent justification to connect the inevitability of B to an occurrence of A. Otherwise the slippery slope scheme merely serves as a device of sophistry.
Often proponents of a "slippery slope" contention propose a long series of intermediate events as the mechanism of connection leading from A to B. The "camel's nose" provides one example of this: once a camel has managed to place its nose within a tent, the rest of the camel will inevitably follow. In this sense the slippery slope resembles the genetic fallacy, but in reverse.
As an example of how an appealing slippery slope argument can be unsound, suppose that whenever a tree falls down, it has a 95% chance of knocking over another tree. We might conclude that soon a great many trees would fall, but this is not the case. There is a 5% chance that no more trees will fall, a 4.75% chance that exactly one more tree will fall, and so on. There is a 92.3% chance that 50 or less additional trees will fall. On average, another 14 trees will fall. In the absence of some momentum factor that makes later trees more likely to fall than earlier ones, this "domino effect" always terminates.
Arguers also often link the slippery slope fallacy to the straw man fallacy in order to attack the initial position:
This form of argument often provides evaluative judgments on social change: once an exception is made to some rule, nothing will hold back further, more egregious exceptions to that rule.
Note that these arguments may indeed have validity, but they require some independent justification of the connection between their terms: otherwise the argument (as a logical tool) remains fallacious.
The "slippery slope" approach may also relate to the conjunction fallacy: with a long string of steps leading to an undesirable conclusion, the chance of all the steps actually occurring is actually less than the chance of any one of the individual steps occurring alone.
Several common analogies support slippery-slope arguments. Among these are analogies to physical momentum, to frictional forces and to mathematical induction.
An analogy similar to the momentum analogy is based on friction. In physics, there is always more frictional force against a nonmoving object (static friction) than against an already moving object (kinetic friction). Arguments that use this analogy assume that people's habits or inhibitions act in the same way. If a particular rule A is considered inviolable, some force akin to static friction is regarded as maintaining the status quo, preventing movement in the direction of abrogating A. If, on the other hand, an exception is made to A, the countervailing resistive force is akin to the weaker kinetic frictional force. Validity of this analogy requires an argument showing that the initial changes actually make further change in the direction of abrogating A easier.
We deduce that for k = 1, 2, 3, ...,n the event Ak has the same evaluation as A1.
Therefore An has the same evaluation as A'1.
For example, the following arguments fit the slippery slope scheme with the inductive interpretation
In most real-world applications such as the one above, the naïve inductive analogy is flawed because mathematical induction cannot be applied to imprecisely defined predicates.
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"Slippery slope".
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