AI analysis of claims on the All-In Podcast
The explanation of bond coupons is sound. The biggest errors concern bankruptcy protection, distillation defenses and pandemic history. Ben Horowitz joins the panel in Friedberg’s place.
Read the 16-claim review3 claims · Balance 6/10
4 claims · Balance 4/10
Absent · 0 claims
5 claims · Balance 4/10
Guest: Ben Horowitz · 50 / D · 4 claims
Scores assess the selected arguments in this episode.
8 episodes · 114 claims
Select a point to open its review.
Scores /100. Spacing follows episode order. Missing hosts leave gaps; guests are listed in their episode reviews.
| Episode | Jason | Sacks | Friedberg | Chamath |
|---|---|---|---|---|
| #286 Aug 21, 2026 | 553 claims | 554 claims | 704 claims | 503 claims |
| #287 Aug 28, 2026 | 603 claims | 754 claims | 504 claims | 653 claims |
| #288 Sep 4, 2026 | 703 claims | 454 claims | 504 claims | 453 claims |
| #289 Sep 11, 2026 | 603 claims | 604 claims | 454 claims | 503 claims |
| #290 Sep 25, 2026 | 553 claims | 504 claims | 604 claims | 503 claims |
| #291 Oct 2, 2026 | 603 claims | 554 claims | 504 claims | 503 claims |
| #292 Oct 10, 2026 | 703 claims | 504 claims | 454 claims | 553 claims |
| #293 Oct 17, 2026 | 703 claims | 554 claims | Not assessedAbsent · 0 claims | 505 claims |
Aug 21, 2026 – Oct 17, 2026
14 claims reviewed
Each dimension is scored from 0–10. The weighted total is multiplied by ten and rounded to the nearest five, with halves rounded up.
Grades use that rounded score: A ≥80, B ≥70, C ≥60, D ≥50, F <50.
Accuracy tests factual correctness; coherence tests whether the conclusion follows; evidence support tests the strength of the sources. Calibration asks whether the speaker’s certainty matches the evidence.
Balance assesses cherry-picking, omitted counterevidence, inconsistent standards and distorted alternatives. Higher scores mean fairer treatment of evidence. Each deduction names the affected claim, the missing evidence and why it changes the conclusion.
Political disagreement and presumed intent do not count. A false claim or weak source alone does not establish cherry-picking.
Scores assess selected arguments. They do not measure a speaker’s overall reliability or percentage of correct statements. Confidence ratings are subjective; no statistical intervals are calculated. Automated-transcript attribution remains provisional. Small differences are not statistically meaningful, and no independent second rater has checked the scores.
New reviews select up to 20 significant claims, without speaker quotas. The sample is editorial, not random or exhaustive. All-In #286–292 retain their original 14-claim samples. An absent or unassessable speaker has no score and leaves a gap in the chart.
Primary sources support the assessments. Current product and methodology pages are labeled when used retrospectively. Unresolved forecasts are assessed for their support. All-In video links use chapter starts. Pivot uses transcript timestamps, which can differ from ad-supported audio. GoodFellows uses automated YouTube captions for timestamps; its speaker attribution is provisional and has not been audio-checked.
Rubric v2.0. Earlier scores and correction records remain in the review data.
2 podcast reviews
Reviews of other podcasts help check how this method handles different speakers and topics. Compare the evidence and sample sizes alongside the scores.
· 18 claims
The independence precedents, debt comparison and Iranian assassination plot are supported. Arguments about housing, AI jobs and bank runs go further than the evidence allows. Two accounts of the Declaration need correction.
Read the GoodFellows review7 claims · Balance 4/10
4 claims · Balance 5/10
3 claims · Balance 6/10
4 claims · Balance 6/10
· 16 claims
The merger facts and public AI concerns hold up. The biggest deductions are for treating total debt as new borrowing, overlooking gains in leisure and dropping context from the California remarks.
Read the Pivot review5 claims · Balance 6/10
6 claims · Balance 4/10
5 claims · Balance 4/10
| Speaker / episode | Score | Accuracy | Coherence | Support | Calibration | Balance | Claims | Fact / opinion / forecast |
|---|---|---|---|---|---|---|---|---|
| Jason CalacanisAll-In · 2026-10-10 | 70 / B | 7 | 7 | 6 | 7 | 7 | 3 | 2 / 0 / 1 |
| David SacksAll-In · 2026-10-10 | 50 / D | 5 | 6 | 5 | 4 | 3 | 4 | 1 / 3 / 0 |
| David FriedbergAll-In · 2026-10-10 | 45 / F | 5 | 6 | 4 | 4 | 4 | 4 | 0 / 3 / 1 |
| Chamath PalihapitiyaAll-In · 2026-10-10 | 55 / D | 6 | 6 | 5 | 5 | 5 | 3 | 0 / 2 / 1 |
| Kara SwisherPivot · 2026-10-09 | 70 / B | 8 | 7 | 7 | 6 | 6 | 5 | 2 / 2 / 1 |
| Scott GallowayPivot · 2026-10-09 | 50 / D | 5 | 6 | 5 | 6 | 4 | 6 | 3 / 1 / 2 |
| Jessica TarlovPivot · 2026-10-09 · Guest | 60 / C | 7 | 6 | 6 | 6 | 4 | 5 | 2 / 2 / 1 |
| Niall FergusonGoodFellows · 2026-10-06 | 60 / C | 7 | 7 | 6 | 5 | 4 | 7 | 2 / 3 / 2 |
| John CochraneGoodFellows · 2026-10-06 | 65 / C | 7 | 7 | 6 | 6 | 5 | 4 | 1 / 3 / 0 |
| H.R. McMasterGoodFellows · 2026-10-06 | 75 / B | 8 | 8 | 7 | 7 | 6 | 3 | 1 / 2 / 0 |
| Michael AuslinGoodFellows · 2026-10-06 · Guest | 70 / B | 7 | 8 | 7 | 6 | 6 | 4 | 4 / 0 / 0 |
| Bill WhalenGoodFellows · 2026-10-06 · Moderator | Not assessed | — | — | — | — | — | 0 | 0 / 0 / 0 |
Topics and claim samples differ. These informal controls cannot establish a podcast ranking or validate the scoring statistically. All-In #292 remains the original comparison point. Read the scoring limits.