This featured episode of the documentary series takes viewers on a captivating journey around the world, showcasing the astonishing ways in which animals adapt to living alongside humans. In Sauraha, Nepal, a rhino navigates through human-inhabited areas in search of food. In Bali, long-tailed macaques have learned to trade stolen items for food, demonstrating their intelligence and adaptability. The bustling streets of New York City are home to pavement ants that thrive on human leftovers, while in India, revered cobras coexist with humans in a unique cultural relationship.
Melbourne, Australia, features nocturnal frogmouths benefiting from urban lighting for hunting, and Lake Tahoe in North America sees black bears adapting to easy food sources in human settlements. The documentary also delves into the challenges faced by wildlife due to human expansion and climate change. It highlights the plight of African elephants in Kenya conflicting with farmers, the impact of overfishing on humpback whales in Vancouver Island, and the dramatic increase of desert locusts in northeastern Africa due to climate-induced conditions.
The episode concludes by emphasizing the importance of reimagining our relationship with nature. It suggests a shift towards plant-based diets to reduce agricultural land use and the potential of vertical farming technologies, offering hope and solutions for a sustainable coexistence with wildlife.

An elegantly filmed documentary, Planet Ocean takes us on a beautiful adventure into the strangest domains of our planet - the oceans. The film features both the magnificence and the exposure of Earth's oceans. The dangers that threaten the whole planet also threaten us. We are guided through various series of events (sailfish relying on mackerel; mackerel relying on zooplankton; zooplankton relying on marine prairie) it is not simply to demonstrate the function of a food chain, but to illustrate the way in which all life is intrinsically interconnected. What happens to our oceans happens to our selves.

Pluto is one of the Smaller than our own Moon, Pluto has never had a single visitor from Earth - until now. We keep saying, 'This is it, this is humanity's trip to Pluto. For the first time in human history, Pluto is about to be revealed. We can expect surprises, it's almost guaranteed. Until then, we can only guess what Pluto looks like. And recently, astronomers decided not to call it a planet any more. Once thought to be an isolated oddity, Pluto now marks the beginning of a whole new frontier. it's as if the explorers had climbed up to the top of the Rockies and were looking over and could see the lands of California on the other side. There has never been a better time to venture where no human has gone before. To follow in the footsteps of our robot pioneers and explore beyond the planets of our Solar System.

A series of untimely deaths connected to the making of the Poltergeist films inspired rumours that the production was cursed. Supernatural suspicions are stoked by rumours that real human skeletons were used during the making of the film.

Astrology, the celestial movements of the Sun, Moon, and planets among the stars, governing our personality and destiny. For centuries, millions of people, from paupers to powerful world leaders, have relied on the ancient system for answers. This episode examines whether tracking astronomical phenomena can actually predict the future.

Predictions underlie nearly every aspect of our lives, from sports, politics, and medical decisions to the morning commute. With the explosion of digital technology, the internet, and 'big data,' the science of forecasting is flourishing. But why do some predictions succeed spectacularly while others fail abysmally? And how can we find meaningful patterns amidst chaos and uncertainty? From the glitz of casinos and TV game shows to the life-and-death stakes of storm forecasts and the flaws of opinion polls that can swing an election, 'Prediction by the Numbers' explores stories of statistics in action. Yet advances in machine learning and big data models that increasingly rule our lives are also posing big, disturbing questions. How much should we trust predictions made by algorithms when we don't understand how they arrive at them? And how far ahead can we really forecast?