Search arXiv⌕ Search

arXiv · 2610.40324

Crowds Believe in You: Online Prediction Markets Overestimate How Often People Achieve Their Own Goals

Abstract

People increasingly share personal goals online and invite others to forecast them. Research on the planning fallacy finds that observers predict a person's behavior less optimistically than the person does, and prediction markets aggregate such judgments, harnessing the wisdom of crowds. We study 6,150 prediction markets on Manifold in which 1,660 users asked about their own futures ("Will I ...?"), reconstruct every order and execution, and compare these self-markets with markets about external events. Self-markets resolved YES 4.4 percentage points less often than their final prices implied, whereas external markets were nearly calibrated (0.9 points); the difference was 2.2 points at the same price level and 1.9 points within creators who made both kinds of market. Absent when markets opened, the overstatement emerged within a day of trading, even where the person never traded, and peaked in the week before close. In a market's first day, observers moved external-market prices down toward the base rate, but moved self-market prices 3.6 points further toward YES, except in markets naming an outcome the person would not want, which were not overpriced. The correction came late and largely from the person, whose orders supplied 38% of the eventual movement toward the outcome in self-markets, against 9% in external markets. Because self-market prices mainly failed to separate successes from failures, a recalibration learned from earlier markets improved later forecasts by only 1.5%. Crowds believe in the futures people pose for themselves, and the information that would correct them lies with the person.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Zihan Chen, Lei Nico Zheng, Di Zhu. 2026-10-29. Crowds Believe in You: Online Prediction Markets Overestimate How Often People Achieve Their Own Goals. https://arxiv.org/abs/2610.40324

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

From Tokens to Structure: Investigating Visual Attention in Progressive Code Rendering

AI coding interfaces present generated code either all at once or token-by-token. These rendering strategies reflect model generation rather than how programmers actually read code: selectively, non-linearly, and guided by the structure. We argue that code rendering is a first-class interaction primitive that shapes how programmers read and understand code. To explore this design space, we introduce structured rendering, a technique that reveals code in semantically meaningful chunks derived from its syntactic hierarchy, exposing high-level structure before low-level details. To isolate rendering effects on visual attention, we conducted an eye-tracking study with 53 participants comparing static, character-based, and structured rendering. Our findings show that rendering alters visual attention and reading behavior: dynamic rendering induces fewer but longer fixations and more sustained focus, while structured rendering further guides attention toward semantically meaningful units and supports high-level understanding. We release the anonymized dataset with an interactive demo (https://codegaze.vercel.app/) to support future research.

cs.HC↗

Unlocking with the Heart: Investigating User Perceptions of ECG-Based Biometric Authentication

Password-based authentication remains challenging for many users, especially for those who face usability and accessibility issues. The burden of maintaining security can cause user fatigue, frustration and non-engagement. To address these issues, we conducted a pilot study to assess ECG-based biometric authentication as a passwordless alternative and to gather adult participants' perspectives on this approach. The research consisted of a survey study, an authentication prototype and a follow-up usability experience questionnaire. Our approach combined an online survey of 337 adults examining authentication practices and perceptions, with a separate usability evaluation in which 49 participants interacted with a simulated ECG-authentication and password interface in a health-care application prototype, then completed a post-test usability test questionnaire. The survey examined how adults across age groups use and perceive various authentication techniques, their experiences with biometrics, their views on security and convenience, and their willingness to adopt ECG authentication. In parallel, the usability prototype and questionnaire captured participants' responses after hands-on interaction with an ECG authentication prototype.

cs.HC↗

Wearable Biosensors for Early Detection and Continuous Monitoring of Postpartum Depression: A Human-Centered Approach

Postpartum depression (PPD) is the leading cause of maternal mortality in the United States. However, there are significant gaps in PPD screening, detection, and treatment. A main challenge stems from limitations in existing methods for early PPD diagnosis and subsequent monitoring and intervention. Mobile technology that incorporates interactive interfaces and continuous wearable biosensors holds major potential to augment clinical decision-making and enhance PPD care. A number of compelling research directions exist in effectively developing such systems, including user experience design, sensing accuracy during perinatal stages, clinical integration and interoperability, acceptance and adoption, and privacy and ethics. By focusing on wearable devices that center women and their experiences, this paper discusses such challenges and opportunities at the intersections of HCI, inclusive physiological computing, and women's health.

cs.HC↗