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233_003predictionEducationAI-timing

Any student is capable of reaching 99th percentile in reading, writing, math, and science with mastery-based tutoring.

Predictor: MacKenzie Price · ep#233 "This $40M AI Company Is Using AI Tutors to Teach 2 Hours/Day | #233" · source

Prior probability
45.0%
Current probability
39.1%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
pending
Window
2028-06-01 – 2028-06-30
Edges in / out
8 / 5
Tickers exposed
33

Prediction text

Any student is capable of reaching 99th percentile in reading, writing, math, and science with mastery-based tutoring. | we believe, you know, any student is capable of being 99th percentile when it comes to reading and writing and math and science and being able to crush your APS. Um, and of course, the beautiful part of it is it doesn't take all day chained to a desk plus hours of homework at night in order to get those results.

Verbatim quote

From episode "This $40M AI Company Is Using AI Tutors to Teach 2 Hours/Day | #233"
we believe, you know, any student is capable of being 99th percentile when it comes to reading and writing and math and science and being able to crush your APS. Um, and of course, the beautiful part of it is it doesn't take all day chained to a desk plus hours of homework at night in order to get those results.

Predictor: MacKenzie Price

κ + Brier as of 2026-05-22
κ (discount)
0.500
Brier
Hits / Misses
0 / 0
Hit rate

Evidence about this node from MacKenzie Price is multiplied by κ in /api/intake. Lower κ = less weight; floors at 0.10 (effectively silenced) and caps at 1.00 (full weight).

Reference class

Not linked

This node isn't linked to a reference class. The Bayesian update applies without outside-view blending.

Probability over time

3 prob_history rows
0%25%50%75%100%prior 45%2026-04-302026-04-302026-05-03
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 39.1%

Milestone chain

Pre-event signals (upstream prereqs + window checkpoints) → resolution event → downstream cascades. Status/dates update from linked nodes; re-derive nightly via scripts/ops/derive_milestones.py.
Leading chain: 7 fired ✓ · 3 pending
  1. 2025-12-31hitAlpha School publishes data: students rank in 99th percentile on MAP tests (mastery learning validation)
    How: Alpha School (alpha.school) publishes nationally normed MAP test results showing majority of students at 99th percentile, with 2.6x growth rate vs peers
    Source: https://alpha.school/the-program/conf 95%
    Notes: HIT — direct prediction validation. Top performers at 6.5x growth, majority at 99th percentile.
  2. 2025-12-31hitBloom 2-sigma replicated empirically: students in 90% mastery model perform 2 SD above peers
    How: Published study or platform data shows mastery-based AI tutoring produces 2-standard-deviation improvement (replicating Bloom 1984)
    Source: https://www.cognitiverevolution.ai/2-sigma-in-2-hours-how-alpha-schools-are-using-ai-to-revolutionize-education/conf 90%
  3. 2026-08-01 → 2027-12-31pendingAlpha School expands to Charlotte, Raleigh, and 3+ additional metros
    How: Alpha School operates in ≥6 metro areas with ≥1000 enrolled students total
    Source: https://carolinapublicpress.org/72041/ai-powered-school-charlotte-raleigh-nc-alpha-expert-questions/conf 75%
  4. 2026-06-01 → 2028-06-30pendingIndependent peer-reviewed RCT confirms ≥2x learning rate from AI mastery tutoring vs control
    How: Peer-reviewed randomized controlled trial (not Alpha-funded) shows ≥2x learning rate from AI mastery tutoring
    Source: Education research journals (AERJ, JEP, Educational Researcher)conf 45%
    Notes: Cascade — Alpha is single-vendor evidence. Independent replication is the higher bar.
  5. 2027-01-01 → 2028-12-31pendingTop-3 US public school district pilots mastery-based AI tutoring at scale (≥10K students)
    How: NYC DOE, LAUSD, CPS, or comparably large district adopts mastery-based AI tutoring program for ≥10,000 students
    Source: EdWeek, district press releasesconf 30%
    Notes: Cascade — public districts move slowest. Lower probability but high-information signal.
  6. 2036-09-06pendingMoon base will exist in 10 years

What if this resolves?

Clamp this prediction TRUE or FALSE and run a counterfactual Gibbs sample. Surfaces the predictions whose marginals shift most under that assumption.
(live posterior: 39%)

Click a button to clamp this prediction and run a Gibbs sample. Returns the predictions whose marginals shift most. ~30s per run; ideal for stress-testing "if X resolves, what else moves?"

Evidence chain

Every probability update with full Bayesian provenance — chronological, latest first
LBP2026-05-03T02:00:01Z39.1%-1.3pp
Network propagation: 40.4% → 39.1%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z40.4%-1.8pp
Network propagation: 42.2% → 40.4%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z42.2%-2.8pp
Network propagation: 45.0% → 42.2%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v1 · run 592311ef

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

Top incoming (parents)

Edges that influence THIS node's belief

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.4500.050-0.050
prereq235_038
David Sinclair begins partial epigenetic reprogramming trialPeter Diamandis
74.0%0.4500.050-0.048
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.4500.050-0.044
prereqSEM_008
Training runs costing $10 billion for a single model will coDario Amodei
76.9%0.4500.050-0.037
prereq238_009
Recursive self-improvement is already happening now (no longAlex Wissner-Gross
78.1%0.4500.050-0.032

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq246_016
Dragonfly nuclear-powered octicopter arrives at Titan in 203Peter Diamandis
35.6%0.6500.050-0.077
prereq235_030
Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203Ray Kurzweil
39.2%0.7500.050-0.075
prereq240_036
TEPCO's restarted reactor will support 20% of Japan's electrPeter Diamandis
34.3%0.6500.050-0.064
prereq239_008
Moon base will exist in 10 yearsElon Musk
28.8%0.5500.050-0.047
prereqSEM_034
True artificial general intelligence will be achieved betweeDemis Hassabis
28.7%0.5500.050-0.046

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (8)

Predictions that must hit first
TypePredTitleDomainLag
prereq238_009Recursive self-improvement is already happening now (no longer three years out)AI
prereq235_038David Sinclair begins partial epigenetic reprogramming trials with Life Biosciences in March 2026.Biotech/Longevity
prereqSEM_008Training runs costing $10 billion for a single model will commence sometime in 2025.AI
prereqSEM_012Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering.AI/Manufacturing
prereqSEM_0422025 will be the definitive year that agentic systems finally hit the mainstream.AI/Agents
killerTK14Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq235_030Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 2033.Biotech/Longevity
prereq246_016Dragonfly nuclear-powered octicopter arrives at Titan in 2034.Space
prereq240_036TEPCO's restarted reactor will support 20% of Japan's electric needs by 2040Energy
prereqSEM_034True artificial general intelligence will be achieved between 2032 and 2042 — 'first we solve AI, then use AI to solve everything else'.AI/AGI
prereq239_008Moon base will exist in 10 yearsSpace

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.626manifoldWill I get an 100 on my Arabic Midterm?31%mentionspending2026-05-08
0.615manifoldwill I get a 5 on ap chemistry?66%mentionspending2026-05-04
0.608manifoldWill a particular friend of mine crack anyone while at math camp?8%mentionspending2026-04-24
0.604manifoldWill I get 90%+ in all my courses this semester?90%mentionspending2026-05-01
0.603manifoldWhat will my mathcounts state score be?mentionspending2026-04-26
0.586manifoldWill I get a 5 on AP Chem?87%mentionspending2026-05-04
0.583manifoldWhat will the sum of all of my AP scores be?mentionspending2026-05-26
0.577manifoldWill I receive a score on the TSTST high enough to qualify for the TST54%mentionspending2026-06-01
0.575manifoldSum of AP scorementionspending2026-04-28
0.568manifoldSum of my AP scoresmentionspending2026-05-08

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "99th percentile",
  "url": "https://www.youtube.com/watch?v=X94eBT-VZnc",
  "mode": "THESIS",
  "role": "Guest-CEO",
  "context": "we believe, you know, any student is capable of being 99th percentile when it comes to reading and writing and math and science and being able to crush your APS. Um, and of course, the beautiful part of it is it doesn't take all day chained to a desk plus hours of homework at night in order to get those results. Um, we've really figured out how to use technology to um, deliver these really incredible learning results and do it in a fraction of the time.",
  "to_year": 2030,
  "verbatim": "we believe, you know, any student is capable of being 99th percentile when it comes to reading and writing and math and science and being able to crush your APS. Um, and of course, the beautiful part of it is it doesn't take all day chained to a desk plus hours of homework at night in order to get those results.",
  "conv_cues": "any student is capable; we believe",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "ongoing / with Alpha model",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Alpha School publishes data: students rank in 99th percentile on MAP tests (mastery learning validation)",
      "notes": "HIT — direct prediction validation. Top performers at 6.5x growth, majority at 99th percentile.",
      "source": "https://alpha.school/the-program/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -10,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://alpha.school/the-program/",
      "expected_date": "2025-12-31",
      "observed_date": "2025-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Alpha School (alpha.school) publishes nationally normed MAP test results showing majority of students at 99th percentile, with 2.6x growth rate vs peers"
    },
    {
      "kind": "llm_pre_event",
      "label": "Bloom 2-sigma replicated empirically: students in 90% mastery model perform 2 SD above peers",
      "source": "https://www.cognitiverevolution.ai/2-sigma-in-2-hours-how-alpha-schools-are-using-ai-to-revolutionize-education/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -9,
      "source_id": null,
      "confidence": 0.9,
      "source_url": "https://www.cognitiverevolution.ai/2-sigma-in-2-hours-how-alpha-schools-are-using-ai-to-revolutionize-education/",
      "expected_date": "2025-12-31",
      "observed_date": "2025-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Published study or platform data shows mastery-based AI tutoring produces 2-standard-deviation improvement (replicating Bloom 1984)"
    },
    {
      "kind": "prereq",
      "label": "Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) a",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -8,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Training runs costing $10 billion for a single model will commence sometime in 2025.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -7,
      "source_id": "SEM_008",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "2025 will be the definitive year that agentic systems finally hit the mainstream.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -6,
      "source_id": "SEM_042",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Recursive self-improvement is already happening now (no longer three years out)",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -5,
      "source_id": "238_009",
      "expected_
... (truncated)