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Alfred Lutter
Milestone (age 12)
At age 12 starred as Tommy opposite Ellen Burstyn in Martin Scorsese’s Alice Doesn't Live Here Anymore (1974), earning a BAFTA nomination for Most Promising Newcomer; followed with roles in Love and Death (1975) and The Bad News Bears (1976) before age 15.
Born March 21, 1962 in Ridgewood, New Jersey, Lutter was cast after Scorsese’s team auditioned hundreds of boys; his improvisational chemistry with Burstyn made him a standout child performer through the mid-1970s. He later left acting, earned BS (1984) and MS (1988) degrees from Stanford, and founded Lutter Consulting in June 1986 at age 24.
Think your path resembles Alfred Lutter's?Compare the visible ingredients, then see exactly where the comparison stops working.
Am I the next Alfred Lutter? →Starting point
Born 1962 in Ridgewood, New Jersey; childhood spent there before early film career; family industry background not documented in reviewed sources.
Current position (2025)
Entrepreneur and engineer; founder of Lutter Consulting; former CTO roles including Cumulus Media, E*Offering, and Lynda.com; lives in the U.S. (Park City area reported in recent profiles).
How this path compounded
01 Starting advantages
3/24 starting-position score
Strongest documented signals: Elite institution pipeline, Direct domain exposure, Prodigy / innate ability.
Describes the starting position, not what the person later made of it.
Cohort percentile: 3
02 Built or converted leverage
9/25 multiplying-capacity score
Strongest observed levers:Started serious reps before 20, Prior reps, Domain proximity.
Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.
Cohort percentile: 11
03 Compounding trajectory
6 documented steps
The timeline below shows the sequence of work and transitions around the selected early milestone. It is evidence of a path, not proof that every step was necessary.
Milestone at age 12
04 Observed career standing
T4 · Specialist-known
Notable, but primarily known within a niche. The tier summarizes documented career recognition through the data cutoff—not Alfred Lutter's worth or future potential.
Question four · where did the leverage come from?
Alfred Lutter's leverage provenance
Each non-zero lever gets a best-supported origin, evidence signals, and confidence. Unresolved is the honest default when the biography cannot distinguish self-built, advantage-enabled, earned, external, or mixed.
Started serious reps before 201/1
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Elite institution pipeline (1/2)
Prior reps2/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Elite institution pipeline (1/2)
Domain proximity1/2
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Direct domain exposure (1/2)Elite institution pipeline (1/2)
Scarce skill depth1/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Elite institution pipeline (1/2)
Native distribution1/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Elite institution pipeline (1/2)
Elite ecosystem network1/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Elite institution pipeline (1/2)
Structural wave / timing1/3
Externalmedium confidence
A structural wave is external to the person, even when their position improved access to it.
No decisive linked signal
Concentration intensity1/3
Unresolvedlow confidence
No current annotation distinguishes self-built, enabled, or earned origins for this lever.
No decisive linked signal
This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of Alfred Lutter's outcome attributable to any origin.
Luck is not a leftover score.Structural luck, Encounter luck, Event luck, Outcome variance can change every arrow in the path. This successful-only dataset cannot observe the near-identical paths that did not break through, so luck stays visible and unscored.
Within Founders / operators, Alfred Lutter's starting-advantage total is at the 3th percentile. Separately, their built or converted leverage total is at the 11th percentile. Other T4 profiles average 5.7 / 24 starting advantage and 10.3 / 25 leverage. Similar scores appear in other tiers, so these figures describe positioning—not a cause.
Trajectory
- 1974 · age 12
Starred as Tommy in Scorsese’s Alice Doesn't Live Here Anymore
Later BAFTA-nominated as Most Promising Newcomer.
- 1976 · age 14
Played brainy Alfred Ogilvie in The Bad News Bears and its 1977 sequel
Capping a busy child-acting run.
- 1984 · age 22
Earned a BS in civil engineering
Stanford University.
- 1986 · age 24
Founded Lutter Consulting, providing technology strategy
Outsourced software development.
- 1988 · age 26
Completed an MS in management and engineering at Stanford.
- 2000 · age 38
Continued executive technology roles
Later including CTO positions at Cumulus Media, E*Offering, and Lynda.com.
Primary leverage engine
Early specialization / performance
Early specialization / prior reps
Secondary engine
Elite institutional pipeline (later Stanford)
Built/converted leverage
9 / 25
evidence: Medium
Built or converted leverage
Multiplying capacity documented later in the path. Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.
Started serious reps before 20
1/1
Elite ecosystem network
1/3
Structural wave / timing
1/3
Concentration intensity
1/3
Starting-advantage scores (0–2 each)
Access or conditions documented near the beginning of the path. Zero means "no clear evidence in reviewed sources," not "advantage was absent."
Family financial platform
0/2
Parent / family domain
0/2
Inherited audience / network
0/2
Elite institution pipeline
1/2
Dedicated mentor / coach
0/2
Exceptional peer / cofounder
0/2
Direct domain exposure
1/2
Prodigy / innate ability
1/2
Adversity / constraint catalyst
0/2
Family context
Grew up in Ridgewood, New Jersey; parents later referenced in a wedding announcement as living in Rancho Bernardo, California. Detailed family financial or industry background not documented.
Parent / family domain
Not documented in reviewed sources.
Archetype & tags
Prodigy / physical edgechild actorScorseseBAFTA nomineeBad News BearsStanford engineeringconsulting founder
Evidence summary
Lutter’s material breakthrough was early film work: a major Scorsese feature at 12 with BAFTA newcomer nomination, then Woody Allen and Bad News Bears roles before mid-teens. Family domain advantages are not documented. He later pivoted to engineering via Stanford and founded Lutter Consulting at 24, later serving as CTO at firms including Cumulus Media, E*Offering, and Lynda.com—notable but specialist-level software career relative to childhood screen fame.
advantage confidence: Medium · source count: 4 · audit: not_independently_audited · status: subagent_researched_beta
Sources
Related — same primary engine