Metric forensic anthropology decisions: Reliability and biasability of sectioning-point-based sex estimates

Subjective decisions make human cognitive processes more susceptible to bias and error. Specifically, research indicates that additional context biases forensic anthropologists’ morphological analyses. To address whether metric analyses are also subject to bias, we conducted a pilot study in which 52 experienced osteologists measured a difficult-to-classify human femur, with or without additional contextual information. Using a metric sectioning-point sex-estimation method, participants provided a sex estimate for individual skeletal element(s) and, when given multiple elements, the combined skeletal assemblage. Control group participants (n = 24) measured only the femur. In addition to the femur, bias group participants (n = 28) either measured a female humerus and viewed a female-biasing photograph (n = 14) or measured a male humerus and viewed a male-biasing photograph (n = 14). We explored whether the experts in the different groups would differ in: (1) femoral measurements; (2) femoral sex-estimation conclusions; and (3) final sex-estimation conclusions for the skeletal assemblage. Although the femoral measurements and femoral sex estimates were comparable across groups, the overall sex estimates in the female-biased group were impacted by contextual information—differing from both the control and male-biased groups (p < 0.001). Our results demonstrate that cognitive bias can occur even in metric sex-estimation conclusions. Specifically, this occurred when the metric data and single-element sex estimates were synthesized into an overall estimate. Thus, our results suggest that metric methods are most vulnerable to bias when data are synthesized into an overall conclusion, highlighting the need for bias countermeasures and comprehensive statistical frameworks for synthesizing metric data to mitigate the effects of cognitive bias.     

What do forensic analysts consider relevant to their decision making?

In response to research demonstrating that irrelevant contextual information can bias forensic science analyses, authorities have increasingly urged laboratories to limit analysts' access to irrelevant and potentially biasing information (Dror and Cole (2010) [3]; National Academy of Sciences (2009) [18]; President's Council of Advisors on Science and Technology (2016) [22]; UK Forensic Science Regulator (2015) [26]). However, a great challenge in implementing this reform is determining which information is task-relevant and which is task-irrelevant. In the current study, we surveyed 183 forensic analysts to examine what they consider relevant versus irrelevant in their forensic analyses. Results revealed that analysts generally do not regard information regarding the suspect or victim as essential to their analytic tasks. However, there was significant variability among analysts within and between disciplines. Findings suggest that forensic science disciplines need to agree on what they regard as task-relevant before context management procedures can be properly implemented. The lack of consensus about what is relevant information not only leaves room for biasing information, but also reveals foundational gaps in what analysts consider crucial in forensic decision making.     

Age Adjustment and Recall Bias in the Analysis of Domestic Violence Data: Methodological Improvements Through the Application of Survival Analysis Methods

This methodological paper presents the utility of survival analysis methods to provide age adjustment in the analysis of domestic violence data. These methods improve the estimation of lifetime probability of domestic violence, improve identification of patterns of first victimization over the lifespan, and provide methods of testing risk factors for first victimization while adjusting for the respondents' age. Most importantly, these methods allow a new investigation of recall bias. Results suggest that lifetime probability of abuse may have been substantially underestimated in previous studies because of problems in recall/disclosure encountered by middle-aged women.     

Stammwähler und die opportunistische Wahl parteipolitischer Programme

This article explains political radicalism by the number of voters who are biased towards a party. With little voters biased in favor of a party, this party has to rely more heavily on its programmatic distance to other parties. Because large parties – i.e.: parties with a high number of biased voters – gain votes when they move to the center of the political spectrum, parties with a lower number of voters that are biased in their favor are forced to the edges of the policy space. We draw on a computational model of political competition between four parties in a two‐dimensional policy space to investigate this relationship. We use panel corrected OLS estimates to analyze the data generated by the computer simulation. Our results substantiate the hypothesis of a negative relationship between the number of biased voters and the inclination of a party to adopt a more extreme policy stance.     

城市化进程中的选择偏差与对策

二十一世纪是城市的世纪 ,也是我国城市化进程加快发展的世纪。著名经济学家斯蒂格利茨曾断言二十一世纪有两件大事将改变世界的面貌 :一是中国的城市化 ,一是美国的高科技。然而由于我国长期的计划经济体制和官本位等封建残余思想的影响 ,城市化的进程与历史的本来规律发生了一定的偏差。     

Do People Really Lack Knowledge About the Economy? A Reply to Facchini

Facchini uses a behavioural approach to analyse the political beliefs of French people, who he believes are ‘more or less incompetent’ in economics. In this article I focus on his premise that the public are incompetent and that therefore their views, such as being opposed to the market in the case of the French people, should be interpreted as ‘perception bias’. Other economists may echo Facchini, claiming that people who voted Leave in the UK and for Trump in the USA did so because their lack of economic knowledge contributed to an ‘anti‐foreign bias’. However, I argue here that the existing empirical research showing that people lack economic knowledge is flawed. Many economists adopt a questionable approach to the interpretation of public knowledge and the evaluation of what knowledge is important.     

主体建构理论及其一般机制——基于“提供性服务歌厅”老板言及“小姐”时自我呈现的社区考察

基于对提供性服务歌厅的相处式社区考察,文章从主体和情境视角分析了歌厅老板对"小姐"的建构与言说及其不一致的现象,通过解读老板在言及他人时进行信息控制的感性意识和理性选择,阐述了主体建构的理论要点和一般机制:(1)主体建构是内化了社会建构的再建构;(2)当社会建构呈贬抑时,主体建构对内呈顺向弱化或逆向否定建构,对外呈顺向强化建构;(3)当社会建构呈褒扬时,主体建构对内呈顺向强化建构,对外呈顺向弱化或逆向否定建构;(4)主体建构与言说的不一致,是主体在情境中的自我呈现策略。     

El Mercurio Lies,and La Tercera Lies More. Political Bias in Newspaper Headlines in Chile, 1994–2010

In this article we examine the presence of bias in Chile's two main daily newspapers, El Mercurio and La Tercera, both of which have historically been associated with the political right. We analyse their principal headlines in the first 100 days of rule of presidents Eduardo Frei (1994–2000), Ricardo Lagos (2000–2006), Michelle Bachelet (2006–2010) and Sebastián Piñera (2010–2014). We find that La Tercera was more critical of all these presidents than El Mercurio. In La Tercera we also identify an ideological bias in favour of Piñera as compared to the centre‐left presidents, and in El Mercurio a greater bias against Bachelet than the other presidents.     

The moment you decide,you divide: How politicians assess procedural fairness

Are politicians more rational decision makers than citizens? This article contributes to the ongoing debate by examining how politicians and citizens assess the fairness of the process leading to a controversial policy decision. It contains theories as to why it is tempting to match the favourability of policy decision with a fairness assessment of the preceding process, and how politicians and citizens differ in their approach to the task. Having derived three hypotheses, parallel scenario experiments are run in large samples of Swedish politicians and citizens, in which the outcome and fairness of a policy decision process are manipulated. As predicted, it is found that both politicians and citizens match the favourability of the decision with the assessment of the process, that these self-serving biases are stronger among politicians, and that policy engagement accounts for the group-level difference.     

An integrated perspective on the three potential sources of partisan bias: Malapportionment, turnout differences, and the geographic distribution of party vote shares

Partisan bias refers to an asymmetry in the way party vote share is translated into seats, i.e., a situation where some parties are able to win a given share of seats with a lesser (share of the) vote than is true for other parties. Any districted system is potentially subject to partisan biases. We show that there are three potential sources of partisan bias: (1) differences in the nature of the vote shares of the winning candidates of different parties that give rise to differences in the proportion of each party's votes that come to be ‘wasted’—differences which arise because of the nature of the geographic distribution of partisan support; (2) turnout rate differences across districts that are linked to the partisan vote shares in those districts, such that certain parties are more likely to have ‘cheap seats’ vis-à-vis turnout; and (3) malapportionment. In the context of two-party competition over single-member districts we provide a simple formulation to calculate the independent effect of each of these three factors. We illustrate our analysis with a calculation of the magnitude and direction of effects of the three determinants of partisan bias in elections to the US House and the US Senate in 1984, 1986 and 1988; then we consider how to extend the approach to a system with a mix of single- and multi-member districts or to a weighted voting system such as the US electoral college. We then apply the method to calculate the nature and sources of partisan bias in the 1984 and 1988 US presidential elections.