Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/104084
Title: Iran : how intelligence and policy intersect
Authors: Robert Jervis
Keywords: DRNTU::Social sciences::Political science
Issue Date: 2013
Source: Robert Jervis. (2013). Iran : how intelligence and policy intersect. (RSIS Working Paper, No. 257). Singapore: Nanyang Technological University.
Series/Report no.: RSIS Workingpaper, 257-13
Abstract: No issue is receiving more attention in American intelligence and policy-making circles than Iran and its nuclear program. Unfortunately, it is rare for intelligence in areas like this to be fully accurate and definitive, as the Iraq case reminds us. Intelligence is hard because multiple inferences are usually possible and perceivers are subject to both cognitive and affective biases, especially the tendency to perceive what they expect and to reach conclusions that meet psychological and political needs. So it is not surprising that countries in conflict usually live in quite different perceptual worlds (the Rashomon phenomenon). In dealing with Iran, one of the crucial questions is whether it is motivated by fears and the desire for security or ambitions and the desire to dominate the region. But it is hard for intelligence to analyse this question because it is so deeply involved with policy choices. Furthermore, empathy is particularly difficult here because it can be readily confused with politically unacceptable sympathy. In addition, intelligence often lacks full knowledge of American policy and has great difficulty integrating public and secret intelligence. To be maximally effective, intelligence has to be close enough to policy-makers to know their questions but not so close as to feel pressure to give the desired answers. Overall, then, intelligence is deeply involved with policy on Iran, but faces daunting handicaps.
URI: https://hdl.handle.net/10356/104084
http://hdl.handle.net/10220/20051
Rights: NTU
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:RSIS Working Papers

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