Distrust

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Distrust is a formal way of not trusting any one party too much in a situation of grave risk or deep doubt. It is commonly expressed in civics as a division or balance of powers, or in politics as means of validating treaty terms. Systems based on distrust simply divide the responsibility so that checks and balances can operate. The phrase "Trust, but verify" refers specifically to distrust.

An electoral system or adversarial process inevitably is based on distrust, but not on mistrust. Parties compete in the system, but they do not compete to subvert the system itself, or gain bad faith advantage through it - if they do they are easily caught by the others. Of course much mistrust does exist between parties, and it is exactly this which motivates putting in place a formal system of distrust. Diplomatic protocol for instance, which applies between states, relies on such means as formal disapproval which in effect say "we do not trust that person". It also tends to rely on a strict etiquette - distrusting each person's habits to signal their intent, and instead relying on a global standard for behaviour in sensitive social settings.

A protocol as defined in computer science uses a more formal idea of distrust itself. Different parts of a system are not supposed to "trust" each other but rather perform specific assertions, requests and validations. Once these are passed, the responsibility for errors lies strictly with the receiving part of the system, not that which sent the original information. Applying this principle inside one program is called contract-based design.

Corporate governance relies on distrust insofar as the board is not to trust the reports it receives from management, but is empowered to investigate them, challenge them, and otherwise act on behalf of shareholders vs. managers. The fact that they rarely or never do so in most American companies is a sign that the distrust relationship has broken down - accounting scandals and calls for accounting reform are the inevitable result. It is precisely to avoid such larger crises of trust in "the system" that formal distrust measures are put in place to begin with.

Studying Distrust[edit]

Neuroeconomics explain how economists are attempting to understand why humans trust or distrust others by recording physiological measurements during trust experiments.[1] Economists conducted an experiment observing distrust through a trust game. Subjects were asked to anonymously donate various amounts of money to other anonymous subjects with no guarantee of receiving money in return. Various conditions were run of the experiment and after each decision, subjects' levels of DHT were measured. The results of this experiment suggest men and women respond to distrust physiologically differently; a heightened level of the hormone Dihydrotestosterone (DHT) in men is associated with distrust. However, more experiments need to be conducted and more results need to be obtained to accurately state the relationship between the amount of DHT present in males and responses to distrust.[1]

Distrust has also been shown to increase the speed and performance of individuals and groups[2] at certain tasks. One way to classify tasks is to split them into routine (normal, usual) and nonroutine (creative, unusual, undefined). In experiments distrust has been shown to increase performance in nonroutine tasks while decreasing performance in routine tasks.[3]

External links[edit]

References[edit]

  1. ^ a b Zak, Paul J.; Karla Borja; William T. Matzner; Robert Kurzban (2005). "The Neuroeconomics of Distrust: Sex Differences in Behavior and Physiology". The American Economic Review 95 (2). 
  2. ^ Lowry, Paul Benjamin; Justin Scott Giboney; Ryan Schuetzler; Jacob Richardson; Tom Gregory; John Romney; Bonnie Anderson (5–8 January 2009). "The Value of Distrust in Computer-Based Decision-Making Groups". 43rd Annual Hawaii International Conference on System Sciences. 
  3. ^ Schul, Y.; Mayo, R.; and Burnstein, E. (2008). "The value of distrust". Journal of Experimental Social Psychology 44 (5): 1293–1302.