The Metaculus Journal Metaculus Inc.

https://www.metaculus.com/notebooks/9613/explainable-ai-and-trust-issues/
AI researchers exploring ways to increase trust in AI recognize that one barrier to trust, often, is a lack of explanation. This recognition has led to the development of the field of Explainable Artificial Intelligence (XAI). In their paper Formalizing Trust in Artificial Intelligence, Jacovi et al. classify an AI system as trustworthy to a contract if it is capable of maintaining this contract: A recommender algorithm might be trusted to make good recommendations, and a classification algorithm might be trusted to classify things appropriately. When a classification algorithm makes grossly inappropriate classifications, we feel betrayed, and the algorithm loses our trust. (Of course, a system may be untrustworthy even as we continue to place trust in it.) This essay explores current legal implementations of XAI as they relate to explanation, trust, and human data subjects (e.g. users of Google or Facebook)—while forecasting outcomes relevant to XAI.

https://www.metaculus.com/notebooks/8701/the-path-to-controlling-cancer/
Treating cancer is a battle against exponential growth of mutating cells, so even breakthrough drugs may offer only incremental increases in survival time before residual tumors rebound. But as we learn more about the fundamental mechanisms of cancer, we can target those processes more directly. When will people diagnosed with the most lethal cancers more often than not survive for years? I will examine progress in cancer treatment and speculate on the path toward managing intractable cancer types.
Cancer’s complexity Why are several-year survival rates the currency of progress in fighting cancer? It is easy to wonder, especially if you have a personal connection to cancer, why we keep seeing breakthroughs that result in a small bump in survival times rather than cures. In short, cancer cells are human cells and they evolve. It is easy to kill cancer cells, but difficult to kill them without destroying the patient’s body. And it is extremely difficult to kill every one of them before they evolve again.
Most mutations either have no effect or they kill the cell and therefore self-correct. Even when mutations self-perpetuate against all odds, the body has many defenses against them. The chances of a combination of mutations evading all this is vanishingly small, but there are trillions of opportunities for it to happen in the body. By the time it is diagnosed, a tumor has already bested a solid wall of defenses.
That means there is no easy fix for cancer, and a variety of treatments are used—primarily different types of surgery, radiotherapy, and chemotherapy. The relative importance of each of these will continue to evolve.
Predicting survival rates

https://www.metaculus.com/notebooks/8702/the-promise-and-impact-of-the-next-generation-of-weight-loss-drugs/
Obesity is a burden on individuals and on society, but it has historically been hard to treat. Until recently, weight loss approaches based on diet/lifestyle and drugs struggled to produce safe and sustainable weight loss of greater than 5% of body weight on average. That is changing with the development of highly effective, and apparently safe, new weight loss drugs. Which drugs will make it to patients, when will they arrive, who will have access to them, and how will they impact public health?
Obesity is common and has historically been hard to treat Forty-three percent of US adults have obesity, and this number has continued to increase over the last four decades, despite the fact that two-thirds of this group attempts weight loss each year. Although US obesity rates are higher than most other countries, obesity is common in the majority of wealthy countries and its prevalence is increasing nearly everywhere.

https://www.metaculus.com/notebooks/9191/methods-for-solving-protein-structures/
Proteins are complex molecules that comprise the bulk of functional parts of living things. They are encoded in DNA and RNA as genes. By sequencing DNA, or sometimes even the proteins themselves, we can learn the amino acid sequence that makes up a protein. But the way chemical strands fold into the correct 3D shape to form a functional protein is hard to predict. And it’s also often difficult to observe the structure of a protein directly, as they are small enough that the important details involve the positions of individual atoms.
Nevertheless, there has been much effort to understand the structures of proteins in humans and other organisms. The structures can explain why a gene and the protein it encodes is essential, why a particular mutation causes cancer, or which drug molecules can fit in a protein pocket to alter the protein’s activity. In short, we can learn how living things work (or don't work) and how we can intervene.
There has been an impressive diversity of approaches for predicting protein structures. For example, over the last decade I’ve been intrigued by Foldit, a computer game used to crowdsource human problem solving to find protein structures that best satisfy realistic chemical constraints. Of course, many techniques beyond human intuition are used for prediction too.

https://www.metaculus.com/notebooks/8739/population-crashes-the-deadliest-events-in-history/
Throughout history, for most of the time, world population has been growing, with the rate of that growth also increasing along with the transitions between the foraging era, the farming era, and the industrial era. While declines in the population of specific regions or countries have been more commonplace, declines in the overall world population have been quite rare and haven't lasted very long. The two main causes of such occasional reversals in the overall trend of growth have been pandemics and wars, in that order. While both the data about historical world population and the death tolls of various pandemics and wars are uncertain, what we do know is sufficient to at least give us a sense of the order of magnitude of the worst population crashes in history.
Shifting focus from the past to the future, many of the concerns about existential risk have a natural weaker counterpart in the form of concerns about population crashes which are not large enough to tip the species over the precipice of extinction. Since humans have never actually gone extinct or come anywhere close to it during or after the agricultural era, the only base rate information we have comes from the history of global population declines. It's therefore worth looking over the biggest cases to understand their causes along with their magnitudes.

https://www.metaculus.com/notebooks/8807/reducing-nuclear-risk-through-improved-us-china-relations/
Heightened geopolitical tensions can increase the risk of war, and when tensions between nuclear powers deteriorate the risk of nuclear war can increase. One such relationship facing heightened tensions is between the United States and China. This is particularly concerning as China has recently increased its nuclear stockpile and shown increased aggression toward neighboring states. This essay examines the risk of nuclear war between the US and China and offers possible means of lowering that risk.
Background China's nuclear stockpile growth has been notable, increasing by 60 warheads from 2019 to 2020, the largest recent increase of any nuclear capable state (see the figure below from the Federation of American Scientists (FAS), US and Russia not shown).