how do I see clearly when I am emotionally invested? objectivity, pillar two of integrated wisdom. one film today, moneyball: teaches objectivity clean. then the lens turns inward: real-world bias evidence shows where your own bias does the deciding, a personal audit gives you a tool to catch it, and the day closes by checking your own automatic responses directly.
Vishakha R Mmentor · leadership essentials · with Neha
today's arc · day 3 · 10:00 to 4:30 target, 5:00 buffer
four sessions
10:00 to 11:40objectivity, taught clean: moneyball
11:55 to 1:25real-world evidence: where bias actually decides
2:25 to 3:25the objectivity audit
3:40 to 4:55self-awareness lab: bias & character
session 1 · 10:00 to 11:40
objectivity, taught clean: moneyball
film setup · question on screen
the scouts have thirty years of experience. the data says something else. who's right, and how would you know?
watch for where the two sides actually talk past each other · no commentary during · let it land in full
1what did the scouts see that wasn't there?what did the data see that the scouts couldn't?
2objectivity, definednot the absence of opinion: the ability to hold your opinion lightly enough to update it.
3one level deeperalso the ability to not be chained to your own opinion once you've formed it: staying willing to go looking for other interpretations, even after you feel sure.
callback to sully: where else this week have you seen someone weigh data against instinct, and get the balance right?
concept · the compass of objectivity
the compass of objectivity
1 · fact vs. interpretation"it is 16 degrees, at which temperature I feel cold"not "it is cold." the first is data. the second is your interpretation, dressed up as fact.
2 · system 1 · kahnemanfast, automaticwhat the scouts were running on.
3 · system 2 · kahnemanslow, deliberatewhat the data forced into the room.
neither is better on its own. the discipline is knowing which one is actually driving your call.
bridge to the afternoon
objectivity about other people's decisions is one thing. this afternoon, you turn it on your own.
session 2 · 11:55 to 1:25
real-world evidence: where bias actually decides
groups of 5 · two real studies
where bias actually decides
R · the resume study · bertrand & mullainathan, 2004identical resumes, only the name changedwhite-sounding names needed ~10 sent per callback; black-sounding names needed ~15. a 50% gap, roughly equivalent to eight additional years of experience.
B · the blind audition study · goldin & rouse, 2000candidates behind a curtainwhen orchestras screened blind, women's odds of advancing past the preliminary round rose ~50%. credited with ~30% of the rise in women's share of orchestra seats: from ~10% in 1970 to ~35% by the mid-1990s.
where has a "name effect" shown up in your own experience? what's your organization's equivalent of "a screen", and where is there none at all?
reflection & assimilation · small groups
what surprised you?
bias is not a character flaw. it's a mental shortcut, built the same way as any conditioned thought, and it shows up in real hiring and promotion decisions, not just hypotheticals.
groups of 5: what did these two studies reveal that surprised you?
one model, applied again
thoughts, emotions, actions
a biased judgement is a conditioned or unconscious thought doing its job quietly. trace one bias from this morning back through its actual thought: was it ever a conscious choice?
session 3 · 2:25 to 3:25
the objectivity audit
case study · working material for this session
the zonal sales manager
A runs a zone. every week, a sales call with the national head: a man famous for being all laughter and smiles one moment, thunder and lightning the next. A reads it as strategy: keep everyone unsettled, keep everyone on their toes.
all four zonal managers know one more thing. the targets they carry are at least 25% higher than anyone can realistically achieve.
case study · the pattern
the review call, every week
what A doesprojects at 95% accuracydisciplined, process-driven, every prospect mapped with a clear pipeline and probability. her projections land almost exactly as stated, month after month. she's proud of it, and expects to be recognised for it.
what the others doproject on-target, deliver undertheir numbers meet the stretched target on the call, and miss it at month-end. past analysis shows it plainly: A delivers on her word. they don't.
what happens anywayA gets decimatedevery call starts with numbers and ends with A torn apart for projecting below target, while the on-paper achievers sit safe.
case study · the bind
she wants to quit. she can't.
A is stressed and unhappy, and thinks about leaving every week. but she needs the job and the money. two years ago she lost a job, and it took a month of repeated failed attempts to land this one. she will not put herself in that position again.
what should A do? how should she approach this situation?
hold your first answer. the audit you're about to run is the tool: A's situation is the material.
lab 3b · groups of 5
the objectivity audit: five steps
1describe the situationas you'd tell it to anyone.
2separate three columnsfacts, emotions, inferences.
3restate the situationusing only the facts column.
4state your actual objectivein this situation.
5interpret, then decidethe action that gets you to that objective.
that gap, between your step one story and your step three restatement, is usually where your own bias was doing the deciding.
cross-group share
one insight each
one insight from each of the five groups. not the whole case, just what you noticed.
seeing clearly is a discipline with several distinct components, not one instinct. and it applies to your own life, not just billy beane's.
session 4 · 3:40 to 4:55
self-awareness lab: bias & character
bridge
you've now got a tool for catching bias in a decision you can see clearly. this last block shows you the bias you can't see at all, until you look.
exercise · individual · optional: trim if short on time
the downward arrow: from reaction to belief
1 · situationone neutral, factual sentencewhat actually happened, no interpretation.
2 · automatic thought or reactionwhat went through your mindin that moment?
3 to 4 · ask twice"if that were true, what would it mean?"write each answer. a third pass only if there's more to find: more than four starts to feel like an interrogation.
the last answer you reach is usually the belief itself, often a rule ("I must always..." / "people who... always/never..."). yesterday, several of you found it hard to name a belief on the spot: this is a way in, before the IAT gives you a second one.
neha leads
project implicit: guided IAT
1 · one test, picked in advanceimplicit.harvard.edu/implicit/takeatest.htmlgender-career or age both work well for this room.
2 · completely privatetake it on your phone or laptopnobody has to disclose their score.
debrief · neha leads
bias and automatic response
not "what was your score". what did it feel like to notice your own automatic response?
this is the same gap from this morning, between what the scouts saw and what the data saw. except this time, you're the scout.
neha leads
VIA character strengths
free self-assessment. complete the short VIA survey: you'll get your top 5 signature strengths.
day synthesis
one discipline, several parts
objectivity is a discipline of catching yourself, not just a way of reading other people's data.
reflections zone · before you go
before you go
one place I caught my own bias doing the deciding today: in the studies, or in the IAT.
what it felt like to notice an automatic response I didn't choose.
tomorrow, one more film: 12 angry men. watch what regulation and objectivity look like combined, when someone has no power at all. the trust equation and the ela bhatt case follow.
the school of future