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Mosul

   2019    Historia
In the fall of 2016, an army of over 100,000 Iraqi soldiers and militiamen mobilize to liberate Mosul, Iraq's second largest city, from the clutches of the Islamic State. Ali Mula, an Iraqi journalist, joins this army of uneasy allies--including Sunnis, Shiites, Christians and Kurds--to find out if they can put aside their sectarian differences and finally free their country from the scourge of ISIS.
Along the way to Mosul, Ali encounters an unforgettable group of characters including a Sunni tribal leader who calls himself 'the Crocodile', a female militia leader avenging the death of her husband, a canny, Iranian-backed militia leader, a lawyer-turned-warrior, an elite band of ISIS killers, and refugees who survived the brutality of ISIS occupation. As he nears the end of his journey, Ali meets face-to-face with a die-hard ISIS prisoner who reveals the truth behind his nefarious organization.

Death of the Last Stars

   2019    Science
Stars helped create us, building and spreading the ingredients for life to develop. But there will definitely be a point in the future when, in the future when, you look up, you will no longer be able to see stars.
For billions of years, stars brought life to the universe. Now, they're dying out in a star apocalypse. What's causing the die-off, and what happens to life when the lights go out?
Series: How the Universe Works Series 8

Earth Death Orbit

   2019    Science
We're unlocking the secrets of our planet's voyage and discovering that earth's journey affects us all. The Earth is extremely dynamic. It is spinning on its axis, it's whirling about the sun and it's corkscrewing throughout the this galaxy. And there is the fact than Andromeda and the Milky Way are currently 2.5 million light-years apart, but they're hurtling towards each other at over 250,000 miles an hour. A collision is inevitable. As stars, dust, and gas swirl around each other, gravitational interactions could slingshot our solar system out into intergalactic space.
Series: How the Universe Works Series 8

Michael Jackson: Chase the Truth

   2019    History
Acquitted in life, back on trial after death. The film takes an investigative look into the legal battles of the global superstar. Close friends, former staff and researchers paint an intimate portrait of Jackson's complicated world and put allegations of abuse under the microscope.
'Michael Jackson: Chase the Truth' defends the singer against allegations of child sexual abuse made by Wade Robson and James Safechuck in the 2019 documentary Leaving Neverland. It focuses on research from biographer and journalist Mike Smallcombe and statements by Jackson's former bodyguard Matt Fiddes and actor Mark Lester. Fiddes and Smallcombe assert that allegations made against Jackson always had a financial incentive.

27 Gone Too Soon

   2018    History
Brian Jones, Jimi Hendrix, Janis Joplin and Jim Morrison all died at the age of 27 between 1969 and 1971. At the time, the coincidence gave rise to some comment, but it was not until the death of Kurt Cobain, about two and a half decades later, that the idea of a '27 Club' began to catch on in public perception, reignited with the death of Amy Winehouse in 2011.
Through interviews with people who knew them, such as music stars, critics, medical experts and unseen footage, the lives, music, and artistry of those who died at 27 are investigated with a bid to find answers.

Prediction By The Numbers

   2018    Science
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?