Austrian director Michael Glawogger travels to five countries to focus on some of the worst jobs imaginable: Ukrainian miners crawl into tiny cracks in old coal pits to scratch out a few bags of winter fuel; Indonesian workers trudge long distances carrying baskets with hundreds of pounds of sulfur chunks extracted from a steaming mountain; Pakistanis risk explosions and burial under tons of scrap iron as they dismantle huge carrier ships. The visuals are everything here. Despite the hardships depicted, many sequences have a dreamlike beauty. In addition, the director has a bone-dry sense of irony; during the Ukraine scenes, he frequently cuts away to a statue of Stakhanov, the "hero" lauded by the Soviets for his superhuman work habits. He also shows us an old German smelting works that's been converted into a theme park.

Plants' solutions to life's challenges are as ingenious and manipulative as any animal's. Innovative time-lapse photography opens up a parallel world where plants act like fly-paper, or spring-loaded traps, to catch insects. Vines develop suckers and claws to haul themselves into the rainforest canopy. Every peculiar shape proves to have a clever purpose. The dragon's blood tree is like an upturned umbrella to capture mist and shade its roots. The seed of a Bornean tree has wings so aerodynamic they inspired the design of early gliders. The barrel-shaped desert rose is full of water. The heliconia plant even enslaves a humming bird and turns it into an addict for its nectar.

A deep historical look at one of the most controversial issues of our time, highlighting the abortion debate from various points along the ideological spectrum in a winding story of abortion in America. 47 years after it revolutionized abortion law in America, the landmark 1973 US Supreme Court case Roe v. Wade is once again at a crossroads. Reversing Roe depicts the state of abortion and women’s rights in America.

The Culture High is the riveting story that tears into the very fibre of modern day marijuana prohibition to reveal the truth behind the arguments and motives governing both those who support and those who oppose the existing pot laws. With budgets to fight the war reaching billions and arrests for simple possession skyrocketing to nearly a million annually, the debate over marijuana's legality has reached epic proportions. "The Culture High raises the stakes with some of today's biggest names, unprecedented access to footage previously unobtainable, and incredibly moving testimonials from both sides of the spectrum. Top celebrities, former undercover agents, university professors and a slew of unforgettable characters from all points of view come together for an amusing yet insightful portrait of cannabis prohibition and the grasp it has on society as a whole. "The Culture High" will strip search the oddity of human nature and dare to ask the question: What exactly is going on here?

Honey has the greatest cachet in the marketplace, of all food items. A sweetener so natural, so exalted, that its value has held up for millennia. But honey is also perfect for savvy profiteers who are secretly cutting the world's honey with cheap substitutes. With demand for honey soaring just as bees are dying off in record numbers, hidden additives, hive thefts and other shady tactics are on the rise.

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?