Orbital Reef. Source: Blue Origen Space station concept. https://www.blueorigin.com/destinations
Jeremy Lichtman‘s Multi-AI Oracle predicts 15%
Obtaining outside data.
Checking internet sources, using keywords: Brent Crude price 2026
News from various sources:
OpenAI gives a base rate of 0.1 (10%)
The question difficulty is rated 8 (0 to 10)
Historical weighted factors include:
Past space habitation missions, 0.3
Current investment in space technologies, 0.2
Ongoing international collaborations in space, 0.2
Technological advancements since 2020, 0.2
Regulatory environment and political support, 0.1
A Bayesian calculation could be performed as follows:
Calculate the weighted average of these factors based on their likelihood and current environment. For instance, recent investments and collaborations add modest positive updates, but the late stage in the timeline and current lack of concrete steps add skepticism. Combine these with the historical success rate of similar missions for a Bayesian update. “Probabilitycurrent” is slightly higher than “Probabilityprevious” but still quite low.
Bayesian base rate: 0.15 (15%)
Sufficient news to provide a good forecast? 0 (0 or 1)
News is relevant, topical and unbiased? 0 (0 or 1)
Question classification: scenario_based_forecast
Expected time (days) until question close: 680
The following were considered in order to produce this base rate:
The base rate considers the low frequency of new space habitat missions historically, especially within short time frames. The necessary technological and logistical advancements, while ongoing, are not currently sufficient for a likely ‘Yes’ resolution by the end of 2027.
Ideally, the news feed would contain the following sorts of information for a better forecast:
Ideally, more detailed updates on current construction progress, funding confirmations, and agency timelines would improve the forecast’s accuracy. New technological breakthroughs or partnerships could also impact prediction.
Some potential divergent considerations that might affect the base rate:
Rapid developments in the private sector, such as announcements from companies like SpaceX or Blue Origin, could accelerate timelines. Moreover, unexpected geopolitical shifts could also boost progress.
The following chain of events are necessary for the question to resolve positively:
Completion of a new space habitat ready for human habitation Unlikely – Successful human mission to the new space habitat Unlikely – Overcoming technological and safety challenges for human space travel Possible – Securing necessary funding and international collaboration Somewhat likely – Approval and scheduling of a mission by space agencies Somewhat likely
Querying Claude (AI predicts: 0.08 – confidence: 7)
Querying Mistral (AI predicts: 0.35 – confidence: 6)
Querying OpenAI (AI predicts: 0.15 – confidence: 3)
Explanations of the below statistical measures here —>
Question Type: Binary
Median from LLMs: 0.15
Base rate: 0.1 (from OpenAI)
SD: 0.11
MAPD: 0.18
Confidence: 6
Conf Mode: Normal
Mellers: 0.07
Reverse Mellers: 0.24
Theory of Mind: 0.15 (What did the LLMs think other LLMs predicted?)
Beta Distribution: 0.24
Close Type: A (B = cautious # closer to 50%; A/C = closer to extremes)
LLM responses: 3
Model value: 15%
The general consensus among AIs is that the likelihood of humans visiting a new space habitat by the end of 2027 is low, primarily due to historical base rates, existing timelines, and logistical challenges. The last major new space habitat, the ISS, was completed over two decades ago, and the timelines for current projects such as Artemis, Axiom’s modules, and Lunar Gateway suggest completion dates extending beyond 2027. Additionally, complex requirements like construction, certification, and training add further delays. However, some factors, such as accelerated private sector advancements, geopolitical shifts, or different interpretations of what constitutes a ‘new’ habitat, could alter this prediction. Despite the low probability, unexpected developments or announcements, particularly from agile private companies, might lead to surprises. Nevertheless, historical data and current information indicate significant barriers to achieving such a milestone within the proposed
timeframe.
Runtime: 64 seconds.
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