The Closed Loop. A Deep-Space Time Travel Thriller (en Inglés) - Jason Thomson

The signal has stopped growing.
That may be the most dangerous discovery of all.

For twelve years, Dr. Elise Navarro and the surviving crew of the Threshold have lived with the consequences of a mission that should have been impossible. They returned from the edge of the solar system with proof that time itself could fracture, a future-Earth archive no one was meant to possess, and a terrifying warning: the Partition was coming.

Since then, the world has prepared in secret.

Governments have built contingency plans. Scientists have tracked the precursor signal. Institutions have buried what they could not explain. And Elise has carried the burden of the causal chain, knowing every published conclusion still leaves one question unresolved.

Did they prevent the catastrophe?

Or did they help create it?

When astronomer Renn detects a stabilization pattern hidden inside twelve years of data, Commander Vosler calls the crew back to Geneva. The finding is impossible to ignore: the precursor signal in the present matches a pattern found in the 2247 archive.

The offset is twelve years.

Now the crew must confront the possibility that everything they believed about the future was incomplete. The signal may not be pointing toward an event still to come. It may be evidence of a loop already closed.

As the archive's AI reveals a map it has been building in silence, long-buried secrets emerge: classified signal channels, hidden institutional decisions, failed replication attempts, and a chain of choices stretching across decades. Every answer leads to a more dangerous question. Every certainty comes with a cost.

And if the system is self-consistent, the final truth may not be whether they can change the future.

It may be whether they already did.

Book Three of Jason Thomson's gripping sci-fi thriller trilogy delivers a tense, intelligent, and emotionally powerful conclusion filled with time-travel paradoxes, deep-space consequences, hidden archives, AI revelations, and the haunting question at the heart of every timeline: what if the only way to save the future is to accept the cost of the past?