Exact(1)
That's what creates the 'Oh dear effect'.
Similar(59)
Dear, dear, dear.
This is known as the "dear enemy effect".
According to the theory outlined above, we would expect that Guinea baboon males respond strongly to stranger, but not to neighboring males, as they do not consider these males as potential threats (the "dear enemy" effect).
We surveyed male competition after males had established territories and built nests, so disagreements were already largely settled and there should be selection to rely on signalling rather than continue fighting (a dear enemy effect; [ 68, 69]).
According to Fisher, territory owners may respond less strongly to neighboring group members because subjects are familiar with each other (the so-called "dear enemy" effect; Fisher 1954), and there is ample evidence for this phenomenon (e.g., Temeles 1994; Wich et al. 2002; Radford 2005).
Reduction of aggression towards individuals brought into repeated contact with each other due to a localised resource (e.g., feeding areas or aggregation of potential mates) has been described by the 'Dear Enemy' effect, where individuals with adjacent territories reduce aggression towards each other over time and repeated interactions (Fisher 1954).
While territorial species usually differentiate between group and nongroup members and often respond more strongly to strangers than neighbors (the "dear enemy" effect), subjects in this highly tolerant species should largely ignore other unit members and mainly attend to subjects from their own unit.
Reduced aggression towards familiar adjacent neighbours, termed the dear-enemy effect, has been shown in numerous species.
A weak territorial reaction towards adjacent familiar individuals compared to unfamiliar individuals ("strangers", "dear-enemy" effect [2]), has been observed in numerous songbirds (review [3]).
And so it came to pass that several banks created internal message trails saying, in effect, "Dear Lowly Employee, for the benefit of the bank and its shareholders, please start submitting a lower Libor quote, signed Senior Executive".
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com