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A scorecard for one of YouTube's boldest forecasters

Professor Jiang Xueqin's Predictive History lectures make a lot of specific calls about wars, elections, markets and the fate of empires. This site keeps a public record of every one of them and checks each against what actually happened, so anyone can see how the forecasts are holding up.

757
predictions tracked
180
transcripts read
131
resolved so far
49%
hit rate

How it works

1Read every transcript

All 180 available video transcripts from the @PredictiveHistory channel were read in full, about two million words. Captions come from YouTube's own auto-captions in the original language.

2Pull out the predictions

An AI model listed every forward-looking claim: anything about what will happen, with the exact quote, the moment in the video, the timeframe he gave and how confident he sounded. Re-uploads were skipped. That produced 757 calls.

3Check what happened

Each call was then checked against news and reference sources up to Oct 16, 2026, and given one of five outcomes. Every verdict links to its sources.

4Score it fairly

Hit rate = (came true + ½ partly) ÷ resolved calls. Calls that are still open or too vague to check are left out, and so are claims that described something already underway when he said it.

What the outcomes mean

Came true

It happened as predicted, within the timeframe he gave.

40 calls
Partly

Part of it happened, or it happened in a different form or later than he said.

56 calls
Didn't happen

The deadline passed without it happening, or the opposite happened.

40 calls
Open

It can't be judged yet: the deadline is still ahead, or nothing has decided it either way.

509 calls
Unresolvable

Too vague to ever be checked, e.g. no observable outcome or no timeframe.

112 calls

Limits worth knowing

Verdicts are AI-assisted. They were researched and written with AI models and checked against cited sources, but mistakes are possible, especially on fast-moving stories. If you think a verdict is wrong, tell us and we'll recheck it.

Captions can mishear. Quotes come from auto-generated captions. Every call links to the exact moment in the video so you can hear the original.

"Open" isn't a miss. Most calls (509) haven't reached a verdict yet. The hit rate only counts calls that have, and it will move as more resolve.

Grouping is a judgement call. "Recurring calls" group the same idea restated across videos. Where the timing shifts between versions, each version is scored on its own terms.

Open data

The full dataset of calls, quotes, timestamps, verdicts and sources is available as predictions.json. Last updated Oct 16, 2026.

This is an independent project by Njund. It isn't affiliated with, endorsed by or connected to Professor Jiang or the Predictive History channel.

Predictive History

An independent scorecard of every forward-looking claim Professor Jiang Xueqin made on the @PredictiveHistory YouTube channel. Not affiliated with the channel.

Updated 2026-10-16 · 757 calls from 180 transcripts.

About · Method · Contact · Videos · Data

How calls are found and checked

Each transcript was read in full by an AI model to pull out predictions, with the exact quote and timestamp. Each one was then checked with web search against events up to the update date, with sources linked.

How the hit rate works

Spot a mistake? Report it. Hit rate = (came true + ½ partly) ÷ resolved calls. Claims that were already underway when he made them are left out. Open calls haven't reached a verdict; Unresolvable ones are too vague ever to check. Verdicts are AI-assisted and may contain errors.