The basic ARV protocol involves several key steps: (1) selection of a binary or limited-choice future event (e.g., will currency X rise or fall?); (2) assignment of distinct feedback images to each possible outcome; (3) remote viewing sessions conducted before the event occurs, with viewers blind to both the event and the image assignments; (4) judging of viewer data against the candidate feedback images; (5) prediction based on which image best matches the viewer data; (6) waiting for the actual event outcome; (7) showing viewers the feedback image corresponding to the actual outcome. The protocol requires double-blind conditions—viewers do not know what event is being targeted, and judges do not know which images correspond to which outcomes until after judging is complete. Randomization of image-to-outcome assignments and proper temporal sequencing are critical to maintaining protocol integrity.¹

The ARV rejudging project examined how different judging approaches affected prediction outcomes across multiple ARV trials. Katz and colleagues found that when viewer data was rejudged using refined criteria and multiple independent judges, some groups showed substantially improved hit rates compared to original single-judge assessments. The study documented specific factors affecting judging reliability including judge experience, scoring methodology (binary vs. ranked), and the degree of distinctiveness between feedback images. Groups that employed consensus judging or averaged multiple judges’ rankings tended to produce more stable predictions. The research highlighted that judging is not merely a mechanical matching process but involves interpretive skill that can be developed and standardized.³³

The 2022 survey of remote viewing practitioners included detailed questions about ARV methodology, target types, success rates, and applications. Respondents reported using ARV for financial trading (stocks, FOREX, cryptocurrency), sports betting, lottery number selection, and political event prediction. The survey documented substantial variation in protocol implementation—some practitioners worked solo while others participated in group projects; some used formal coordinate remote viewing (CRV) methods while others employed informal intuitive approaches; some maintained rigorous double-blind conditions while others used less controlled procedures. Self-reported success rates varied widely, with practitioners acknowledging that systematic record-keeping and objective outcome tracking were often lacking in informal ARV practice. The survey established ARV as a major application domain within the broader remote viewing field and identified methodological heterogeneity as both a challenge for systematic research and a source of innovation in protocol development.⁴

Project Firefly operated under the umbrella of the Applied Precognition Project (APP), a for-profit organization exploring precognition as an investment tool. Viewers were organized into pre-established groups, each managed by experienced ARV coordinators. The project pooled $56,300 in investment capital from participants and outside investors with the stated goal of “creating wealth aggressively.” Predictions were made using double-blind protocols with appropriate randomization and scientific controls. Trading decisions were guided by the Kelly wagering strategy, which adjusts bet size based on perceived edge. Despite the rigorous methodology and substantial viewer participation, the project lost most of its invested capital over the 14-month period. The final financial outcome was negative, though specific loss figures varied across different accounting methods. The project generated 177 individual ARV predictions across multiple viewer groups and trading opportunities.¹¹

The ethnographic analysis identified several categories of challenges: (1) Protocol execution issues—some groups experienced difficulties maintaining double-blind conditions, proper randomization, or timely completion of viewing sessions before market events occurred; (2) Judging variability—different groups used different judging methodologies, and some judges may have been influenced by conscious or unconscious biases; (3) Target selection problems—FOREX markets proved highly volatile and sensitive to unpredictable news events, making them potentially unsuitable ARV targets; (4) Displacement effects—some viewer data appeared to match feedback images from adjacent trials rather than the intended target, suggesting temporal displacement; (5) Group coordination difficulties—managing multiple independent viewer groups with different protocols and schedules created logistical complexity; (6) Psychological factors—financial pressure and performance anxiety may have affected viewer and judge performance. The study emphasized that these operational challenges do not necessarily invalidate ARV as a phenomenon but highlight the difficulty of translating laboratory protocols to real-world applications with financial stakes.¹¹

The 2016 Presidential election ARV project employed a double-blind protocol with multiple remote viewers and independent judges. Distinct feedback images were assigned to the two possible outcomes (Clinton victory vs. Trump victory), with assignments randomized and concealed from viewers and judges until after judging was complete. Viewers produced sketches and written descriptions in response to the target cue, working without knowledge of the political event being targeted. After the election outcome was determined, viewers received feedback showing the image corresponding to the actual result. The study documented specific methodological refinements developed from the earlier 2012 election project, including improved image selection criteria (maximizing distinctiveness between outcome images), enhanced judge training, and more rigorous temporal controls to ensure viewing sessions occurred before the election. The project also explored the challenge of viewer and judge bias—political preferences might unconsciously influence both perception and judging in ways difficult to control even under double-blind conditions.⁵

The associative remote dreaming experiment asked participants to incubate dreams about feedback images that would be shown after NFL games concluded. Participants followed a structured pre-sleep protocol including reviewing the target cue, setting intention to dream about the future feedback image, and maintaining dream journals to record impressions upon waking. Dream reports were then judged against the candidate feedback images using the same ranking procedures employed in waking ARV sessions. The study explored whether the dream state might offer advantages for precognitive perception, given theoretical models suggesting that reduced analytical overlay during sleep could enhance psi functioning. Results indicated that dream-based ARV was feasible and that some participants produced dream content matching the correct feedback images at rates above chance expectation. The protocol required careful attention to timing—participants needed to record dreams before the sporting events occurred and before feedback images were revealed. The study represented a novel extension of ARV methodology beyond traditional waking remote viewing sessions.²²