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【ABO+死对头+先婚后爱+非传统娱乐圈】 嘴欠暴躁黑红明星Alpha受X闷骚隐忍腹黑Enigma金主老攻 - 邬姜源，娱乐圈的一朵奇葩。 以黑闻名天下，开创娱乐圈黑红也是红的时代。 满身的黑料邬姜源视若无睹，却唯独只认一件事是自己人生污点。 那就是跟死对头裴景禾的娃娃亲。 二人几年未见，再次见面就是在宴会上。 Enigma被人算计，邬姜源靠在门边，神色戏谑。 事实证明，好奇害死猫。 上一秒还欣赏死对头狼狈之态，下一秒倒霉的人就成了自己。 邬姜源脸黑：“裴景禾你给我滚下去。” 裴景禾不为所动。 邬姜源尝试商量：“你先放开我，我去帮你叫医生，或是给你找人.......” 话音未落，Enigma眼神危险下沉。 “为什么要找人？我们不是要订婚了吗？” 婚后，邬姜源各种资源接到手软。 有眼尖的黑粉发现，这些资源背后都是同位神秘大佬。 于是#邬姜源背后的神秘金主#的热词久居不下。 此时邬姜源窝在沙发上，看到这词条唇角微勾，把腿放在处理事务的Enigma大腿上，懒洋洋开口。 “喂，裴景禾，他们都在说我抱你大腿，到底是谁罩谁？” 裴景禾敛眸握上那不安分的小腿，低声笑道：“是你罩着我。”

都市-战神-爽文。狗子（刘浩）是一个刺客，以此换取赏金而生。为了查出师傅老狗失踪的原因，他需要大量的金钱，所以他只能不断的接任务，获取报酬来买师傅的消息。凭借与生俱来的天赋，最终，他变成了一个终极刺客！

(特别提醒，本书的宗旨就是丢掉脑子，就找老婆，爽就完了，另外多多注意评论区，没有的话记得艾特我。 补充:47章拿下一血，暂且别急。) 穿越到绝区零世界成为了哲，有可爱的妹妹，高收入的工作，还有车有房，这确实是一件很棒的事情，但为什么我的系统看起来这么不对劲呢？这是不是搞错了点什么？ 铃:如果有了的话，那就剁掉好了！ 安比:如果可以的话，我想让哲睡我…… 艾莲:不知道，为什么有点想咬你…… 珂蕾妲:你身上的味道有点像父……不，没什么。 妮可:可以再宽限一段时间吗？实在不行的话，我可以肉身偿还…… 雅:我想进行生孩子的修行。 伊芙琳:我们之间的事情，请先不要告诉小姐。 嘉音:下次，我们把伊芙也带上吧~ …… 这么多的女孩子，且看哲如何避免被等分。

紧接着，中央又印发《花开未盛》、《求婚99次被拒，高冷校花强撩我》等等相关文件，开始来从各个层面来宏观调控经济，企图以此来给热得发烫的经济来一个降温，让经济增长进入健康平稳的轨道。

（龙族同人，单女主）（路零）（楚夏） （压压分，8分就差不多了） “你看啊，我这种跟转学过来的美少女成了邻桌，第二天还一起走路上学，像不像那种小说或者动漫里的主角？” “跟我一起走路上学的你是主角，是不是说，跟你一起走路上学的我……”零回头看向路明非，说出来后面的半句话，“有正宫之姿？”

分析思维降低情感预测影响偏差 Analytical Thinking Reduces Impact Bias in Affective Forecast 作者： 耿晓伟 1 刘丹 1 牛燕华 1 作者单位： 1. 鲁东大学 通讯作者： 耿晓伟 Email:fengandwei@126.com 提交时间： 2020-05-07 摘要: 人们在决策前需要对决策可能带来的结果进行预测。人们往往会高估未来事件对情感的影响, 这被称为影响偏差。本研究从双系统理论出发, 考察了分析思维是否会降低情感预测影响偏差。实验1（采用图片启动）和实验2（采用语言流畅性任务）考察了分析思维对影响偏差的影响，并分析了情感预测程度的中介作用。实验3在现场中以真实的决策（生育二孩）为例，考察了分析思维启动对情感预测的影响。结果发现：分析思维会降低情感预测，进而降低情感预测的影响偏差。 Abstract: " People overestimate the intensity and duration of their affective reactions to events in the future. This is called impact bias (Wilson & Gilbert, 2003). Impact bias influences individuals’ satisfaction with their decision making. Few studies have shed light on how to reduce impact bias in affective forecast based on dual-process theories. According to dual-process theories of human thinking, there are two distinct but interacting systems for information processing. System 1 relies on frugal heuristics and produces intuitive responses, while System 2 relies on deliberative analytical processing. System 2 often overrides the input of System 1 when analytical thinking is activated. Thus, we here hypothesize that analytical thinking reduces the impact bias in affective forecasting. In experiment 1, a total of 240 undergraduates were assigned to play an ultimatum game as proposers and asked to predict how they would feel when their proposals were accepted or rejected by responders. At random, they were told their proposals were accepted or rejected. As soon as they knew the result, they were asked to report how they felt. Before the ultimatum game began, participants were randomly assigned to view pictures of The Thinker to prime analytical thinking or geometric figures as a control condition. The results showed that analytical thinking reduced impact bias in affective forecasting by reducing the intensity of predicted emotions. In experiment 2, a total of 52 undergraduates took part in a memory test. They were asked to predict how they would feel if their score on a memory test exceeded 90% or not before they took the test. As soon as they knew the result that they did not exceed 90%, they were asked to report how they felt. Before taking the memory test, participants were randomly assigned to perform a verbal fluency task with words related to analytical thinking to prime analytical thinking or to a verbal fluency task with words not related to analytical thinking as a control condition. The results showed that analytical thinking reduced impact bias in affective forecasting by reducing the intensity of predicted emotions. In experiment 3, a total of 111 women who had only one child were asked to predict how they would feel if they had a second. Before predicting their feelings, they were randomly assigned to view pictures of The Thinker to prime analytical thinking or geometric figures as a control condition. Results showed that analytical thinking reduced the positive affect of having the second child but not the negative affect of having the second child. In sum, the present research shows that analytical thinking reduces impact bias in affective forecasting by reducing the intensity of predicted emotions. It can help us reduce impact bias in affective forecasting when making decisions and promote satisfaction with those decisions. Limitations and further research are here discussed as well. 分析思维 情感预测 影响偏差 双系统理论 来自： 耿晓伟 分类： 心理学 >> 应用心理学 引用： ChinaXiv:202005.00026 (或此版本 ChinaXiv:202005.00026V1 ) doi:10.12074/202005.00026 CSTR:32003.36.ChinaXiv.202005.00026.V1 推荐引用方式： 耿晓伟,刘丹,牛燕华.(2020).分析思维降低情感预测影响偏差.中国科学院科技论文预发布平台.[ChinaXiv:202005.00026] 版本历史 [V1] 2020-05-07 09:30:00 ChinaXiv:202005.00026V1 下载全文

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