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.
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).
Where the conditions came from
Three sources, read side by side
Each is placed on a −1 to 3 scale from documented evidence, and the three are never added together. A combined total would rank Alfred Lutter against other people. Held apart, they explain why this path ran differently from another one—which is the only comparison this project supports.
The marble itself
What they brought
+1Tailwind
-10+1+2+3
What capability, drive, or early skill is documented in the person rather than their surroundings?
Cast in Scorsese film at 11 with improvisational chemistry that earned a BAFTA nomination. Stellar SAT scores opened doors to Ivy League. Later pivoted to engineering at Stanford. Above-average ability across performance and technical domains, but not a prodigy in either.
Where it was dropped
What they were handed
+1Tailwind
-10+1+2+3
What money, family standing, network, or permission was already in place before the work began?
Grew up in Ridgewood, NJ, the youngest of four children. Described as 'brilliant and funny' with magic shows for family. A New York talent scout discovered him. Comfortable family background supporting acting and later Stanford education.
The shape of the track
What surrounded them
+2Tailwind
-10+1+2+3
What place, timing, institution, or peer group made the next step available?
Martin Scorsese film at 12 with Ellen Burstyn was a rare early career placement. BAFTA nomination and Bad News Bears roles provided Hollywood access. Stanford engineering (BS/MS) provided a second elite ecosystem. Lutter Consulting founded at 24 extended into Silicon Valley.
A −1 is a documented headwind, not a missing value; a 0 means the sources record nothing notable either way. Annotation confidence: Medium. These are analyst readings of what the sources record, not measurements of merit, talent, or effort. The twenty-two scored dimensions remain available inside the deeper research detail.
Describes the starting position, not what the person later made of it.
Cohort percentile: 52
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: 4
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.
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 52th percentile. Separately, their built or converted leverage total is at the 4th percentile. Other T4 profiles average 5.9 / 24 starting advantage and 10.4 / 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
Prior reps
2/3
Scarce skill depth
1/3
Native distribution
1/3
Elite ecosystem network
1/3
Complementary team
0/2
Structural wave / timing
1/3
Concentration intensity
1/3
Capital safety
0/2
Domain proximity
1/2
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
Frontier geography
0/2
Rare early tools
0/2
Dedicated mentor / coach
0/2
Exceptional peer / cofounder
0/2
Early online platform
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.
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.