Embrace ambiguity Why predictive metrics arent helping Shawn Loescher

Imagine being on a commercial airliner

midway over the ocean, returning from
a family celebration.

You’re at cruising altitude,

and outside the window is the most
serene, crystal blue sky you’ve ever seen.

Then you feel the panicked clutch
of your spouse’s hand.

Your pulse rate quickens as you
realize that at 7 months pregnant,

she’s having contractions.

Within hours of landing,

you find yourself the parent of a
child fighting for their life

in a neonatal intensive care unit,
or NICU.

In our day to day lives, thinking we know
what’s going to happen next,

what a difference a few hours can make.

In 2006, my wife and I found ourselves
exactly in this situation.

For the next few months, we took up
residence in the NICU,

where we had an up close, firsthand, daily
role in a battle for life and death.

Our NICU was a vast and versatile space,

where care and services were
conducted out in the open.

One morning, I remember doctors walking
through.

They were on morning rounds.

Using statistical language, they spoke
about the likelihood and probability

of the various medical and developmental
risks associated with premature birth.

I immediately projected the gravity of
what they were saying onto our child.

and our family.

And I was crushed. I felt inept.

Perhaps seeing how disturbed I was,
one of the doctors approached me and said,

“Don’t let anyone tell you that we know
what’s going to happen next,

because we don’t. The future
is not known to us.”

Before that moment, with our family’s
future hanging in the balance,

I thought this was something I understood,
but I was entirely wrong.

That was the beginning of my journey

towards understanding the
importance of uncertainty;

that statistical probability is a means of
understanding the past,

and need not be a predictor of the future.

In short, that ambiguity? It’s also a gift
of possibility.

As a social scientist and educator,

I’ve been charged with
working on complex problems

associated with our communities
and schools.

Economic status and opportunity gaps
biased towards race, gender,

or sexual orientation, community
safety and security,

access to healthcare, nutrition,
technology, and transportation.

These are just a few of the socially
embedded issues

that have profound implications on our
educational institution, and our children

I’ve found that many of us feel a deep
connection to learning from children.

As the father of four, I love learning
from them on a daily basis.

And as an educator?

It’s not an overstatement to say that my
students have taught me

far more than I’ve ever
imparted upon them.

And I’m speaking about profound lessons
about love, desire, hope, and resillience,

all of which seem to spring to life
in the face of adversity.

However, of all the lessons,

the one that has and continues to
irreversibly change me at my core

came form my child’s time in the NICU.

That lesson was to embrace ambiguity as
an actionable disposition and approach

to developing a more ideal future.

In 1948, sociologist Robert K. Mertons
wrote of “the self-fulfilling prophecy.”

This happens when we start with a
preconceived definition

of what we think should be,

and then we change our behavior
to make it happen.

Both positive and negative prophecies
can occur,

and even if they are not meant to be on
their own,

we have a way of willing
them into being.

This is how powerful Mertons believed
we were as humans,

and I believe he’s right.

To introduce us to how we collect data
from the world around us,

renowned business theorist Chris Argyris

proposed the concept of “the
ladder of inference.”

This is a belief system that suggests that
we self-select data

that tends to justify our
actions or inactions,

or what is commonly referred to now as
“confirmation bias.”

The danger here is that

if we do not learn to move off the steps
of our ladder of inference

and examine all of the data,

we are engaged in a process of simply
affirming that we are living

the best versions of ourselves
in society possible.

We live in an era of big data and
statistical analysis,

where we’ve come to embrace something
called a predictive metric.

This is a measurement of process

that seeks to predict a future
outcome or result.

This is a shift from using statistical
analysis to understand the past,

to the belief that statistical analysis
will predict the future.

There is a seductively powerful feeling
of security

that comes with believing we can
predict the future.

I know that I’ve been guilty of this.

However, with the shift of predictive
metrics,

I believe we may have weaponized
statistics.

I believe it is dangerous, limiting, and
misleading, as it deprives us

of thinking about the possibilities
that reside within ambiguity itself.

It transforms statistics into a toxic
fuel

that can rationalize or even
expand complex problems

by encouraging us to quickly move up the
steps of our ladders of inference,

to affirm that we think we
already know what should be.

It may force us to react and proceed

rather than to pause, interact,
and engage.

It creates an ideal environment for
self-fulfilling prophecies

made true by the acceptance
of a false set of assumptions.

In education, predictive metrics come in
a variety of forms.

A common one is known as
the norm-referenced test score.

In essence, this is a statement that says
that for someone with your label,

this is where you stand in
your trajectory.

But we also give all of our children
labels,

such as those associated with poverty,
race, gender, height,

intelligence, and so on.

And these labels are used as variables for
statistical analysis,

and have predictive metrics associated
with them:

standardized test scores and
school performance,

cognitive aptitude tests and college
preparedness,

high school graduation rates and
the school-to-prison pipeline,

behavioral risk scales and home
community environments,

and the list goes on and on.

However, I also have found this to be the
case

in other fields that I’ve collaborated in.

Just think of your own line of work.

Whatever your topic, field, subject, or
problem,

whatever social issue you’re taking on,

your approach and how you deal
with it, you’re probably labeling,

and with those labels, you may find your
own cultural norm predictive metric.

But my NICU experience, it gave me the
gift of understanding things differently.

You see my child had several diagnoses,
and with each diagnosis came a label,

and with that label came a predictive
metric for my child’s future.

Let me share with you, based upon our own
beliefs and understandings as a family,

more times than not, that predictive
metric has been wrong.

I believe we have to be careful about
those predictive metrics

as we’re framing our narratives, guiding
our actions,

and rationalizing our social and
cultural norms.

They’re directing our solutions
orientation,

for we are far less likely to feel
compelled to examine if we’re

even asking the right question,

when we think we already
know what will happen.

Yes, statistical probability tells us
what has happened,

but it’s devoid of how it happened,
the specific who, the context of where,

and the most important details of why
it happened.

That requires a separate exploration.

I, like so many other educators, consider
myself a champion of children’s rights.

In education we use phrases such as “all
students” or “each child,”

and discuss equity to achieve a more
equal, inclusive, and just system.

I believe that the vast majority of
educators truly believe in these concepts.

Trust me when I say that within
my given field of work,

there’s no shortage of good intentions and
discussions

about the needs of our students.

However, there continues to be a lack of
effective action on behalf of our children

and communities that are the most in
need.

We continue to seek out off-the-shelf
solutions born of statistical analysis,

focused with that promise of a better
future

that came with the association of a
predictive metric,

and then we wonder why we fail.

We fail because we do not recognize

that social innovations involve changing
individual lives and experiences,

while trying to implement solutions that
are born of generalized ability,

and are not designed for this purpose.

This is one of the reasons why I’ve argued

that rather than simply retooling
existing educational institutions,

we need to engage in innovations that may
blur

our very traditional concepts and
notions of what schools are:

a broader discussion of redesigning toward
human-centered social service centers,

where education and community
transformation

are understood to be one and the same.

Rather than large rigid bureaucracies

that may be expensive, impersonal
and dehumanizing,

we might need to seek out
contextually-bound solutions

that span individual disciplines.

After all, no one wants to be a statistic,

as we are all individuals.

So I wanted to take this opportunity

to invite you to embrace the ambiguity
that the future ought to represent.

Embracing ambiguity is an important part
of getting outside of ourselves,

stepping off of our ladders of inference,

and ceasing the process of a limited
self-fulfilling prophecy

that continues to serve too few too well,

leaving so many marginalized
and oppressed.

Embracing ambiguity, it invites us to
engage with our past

with a healthy reflective practice,

marvel at our future as one that
is filled with possibilities,

and live in this moment of one of solace,
where we should get down to the task

of designing a more ideal
and inclusive future.

I believe that in doing so, we can focus
on what philosopher Paulo Freire called

our first true vocation:
that of becoming more human.

And just think of what a gift that would
be for our children,

our professions, and our communities,

and even for the promise of what
should be a more just society.

We rarely grow up to be who our parents
thought we would be

as they held us as infants,

but for most parents this happens in
incremental steps

over the course of years or decades.

However, for many of the NICU families,

this change seems to happen
in an earth-shattering instant.

That is, until you are reminded that
we can never give up hope,

humans are resillient, and the future
is not known to us.

It’s time to embrace ambiguity,

and remind ourselves that anything
can lay just around the corner.

想象一下,

在海洋中途的一架商业客机上,
从家庭庆祝活动中返回。

你在巡航高度

,窗外是
你见过的最宁静、水晶般的蓝天。

然后你感觉到
你配偶的手惊慌失措。

当您
意识到怀孕 7 个月时,

她正在宫缩时,您的脉搏会加快。

在着陆后的几个小时内,

您会发现自己是一个

在新生儿重症监护室
或新生儿重症监护室为生命而战的孩子的父母。

在我们的日常生活中,以为我们知道
接下来会发生

什么,几个小时可以带来多大的改变。

2006 年,我和我的妻子发现自己
正处于这种境地。

在接下来的几个月里,我们
住在新生儿重症监护室

,在那里,我们每天都
在为生死而战。

我们的新生儿重症监护室是一个广阔而多功能的空间

,护理和服务是
在露天进行的。

一天早上,我记得医生
走过。

他们在早上巡视。

他们使用统计语言
讨论了与早产相关

的各种医疗和发育
风险的可能性和概率。

我立即将
他们所说的话的严重性投射到我们的孩子身上。

和我们的家人。

我被压垮了。 我觉得无能为力。

也许看到我有多不安,
一位医生走近我说:

“不要让任何人告诉你我们知道
接下来会发生什么,

因为我们不知道。我们不知道
未来。”

在那一刻之前,我们家的
未来悬而未决,

我以为这是我理解的事情,
但我完全错了。

那是我

理解
不确定性重要性之旅的开始;

统计概率是
理解过去的一种手段

,不一定是未来的预测指标。

简而言之,这种模棱两可? 这也是一种
可能性的礼物。

作为一名社会科学家和教育家,

我一直负责
解决

与我们的社区
和学校相关的复杂问题。

经济地位和机会差距
偏向于种族、性别

或性取向、社区
安全和保障、

获得医疗保健、营养、
技术和交通。

这些只是

对我们的
教育机构和我们的孩子


深远影响的社会嵌入问题中的一小部分。

作为四个孩子的父亲,我喜欢
每天向他们学习。

作为教育工作者?

毫不夸张地说,我的
学生教给我的

远比我
传授给他们的多。

我说的是
关于爱、欲望、希望和复原力的深刻教训,

所有这些似乎
在逆境中都栩栩如生。

然而,在所有课程

中,已经并且继续
不可逆转地改变我核心的课程

来自我孩子在新生儿重症监护室的时间。

这个教训是将模糊性作为
一种可操作的倾向和方法

来发展更理想的未来。

1948 年,社会学家 Robert K. Mertons
写下了“自我实现的预言”。

当我们从

对我们认为应该是什么的先入为主的定义开始,

然后我们改变我们的行为
以实现它时,就会发生这种情况。

正面和负面的预言
都可能发生

,即使它们不是
独立存在的,

我们也有办法让
它们成为现实。

这就是默顿认为
我们是人类的强大之处

,我相信他是对的。

为了向我们介绍我们如何
从周围的世界收集数据,

著名商业理论家 Chris Argyris

提出了“推理阶梯”的概念

这是一个信念系统,它表明
我们自我选择的

数据往往会证明我们的
作为或不作为

是正当的,或者现在通常所说的
“确认偏差”。

这里的危险在于,

如果我们不学会走出
推理阶梯

并检查所有数据,

我们就会陷入一个简单地
确认我们在社会上尽可能

过着最好的自我的过程

我们生活在一个大数据和
统计分析的时代

,我们已经开始接受一种
称为预测指标的东西。

这是

对旨在预测未来
结果或结果的过程的度量。

这是从使用统计
分析了解过去

到相信统计分析
将预测未来的转变。 相信

我们可以预测未来,会产生一种强烈
的安全感

我知道我为此犯了罪。

然而,随着预测指标的转变

我相信我们可能已经将统计数据武器化了

我认为它是危险的、限制性的和
误导性的,因为它剥夺了

我们思考
存在于歧义本身中的可能性。

它将统计数据转化为有毒
燃料

,可以

通过鼓励我们快速提升
推理阶梯

,确认我们认为我们
已经知道应该是什么,从而使复杂问题合理化甚至扩大。

它可能会迫使我们做出反应并继续前进,

而不是暂停、互动
和参与。

它为

通过
接受一组错误的假设而实现的自我实现预言创造了一个理想的环境。

在教育中,预测指标
有多种形式。

一个常见的被
称为规范参考测试分数。

从本质上讲,这是一个声明,
说对于有你标签的人来说,

这就是你在你的轨迹中所处的位置

但我们也给我们所有的孩子
贴上了标签,

比如那些与贫困、
种族、性别、身高、

智力等相关的标签。

这些标签被用作
统计分析的变量,

并具有与之相关的预测指标

标准化考试成绩和
学校表现、

认知能力倾向测试和大学
准备、

高中毕业率
和学校到监狱的管道、

行为风险量表和 家庭
社区环境

,不胜枚举。

然而,我也

发现在我合作过的其他领域也是如此。

想想你自己的工作。

无论您的主题、领域、主题或
问题是

什么,无论您正在处理什么社会问题,

您的方法以及您如何
处理它,您都可能正在贴上标签,

并且通过这些标签,您可能会找到
自己的文化规范预测指标。

但我的新生儿重症监护室经历,给了我以
不同方式理解事物的天赋。

你看我的孩子有几个诊断
,每个诊断都有一个标签

,这个标签是
我孩子未来的预测指标。

让我与你分享,基于我们
作为一个家庭的信念和理解

,这个预测
指标是错误的。

我相信我们

在构建我们的叙述、指导
我们的行动

以及合理化我们的社会和
文化规范时,必须小心这些预测指标。

他们正在指导我们的解决方案
导向,

因为当我们认为我们已经知道会发生什么时,我们不太可能感到有
必要检查我们是否

提出了正确的问题

是的,统计概率告诉
我们发生了什么,

但它没有说明它是如何发生的
、具体的人员、地点的背景

以及发生原因的最重要细节

这需要单独探索。

我和许多其他教育工作者一样,认为
自己是儿童权利的捍卫者。

在教育中,我们使用诸如“所有
学生”或“每个孩子”之类的短语,

并讨论公平以实现更加
平等、包容和公正的制度。

我相信绝大多数
教育工作者都真正相信这些概念。

相信我,当我说在
我给定的工作领域内,

不乏善意和

关于学生需求的讨论。

然而,我们仍然缺乏
代表

我们最
需要帮助的儿童和社区采取的有效行动。

我们继续寻找源自
统计分析的现成解决方案,

专注于与预测指标相关的更美好
未来的承诺

然后我们想知道为什么我们会失败。

我们失败了,因为我们没有认识

到社会创新涉及改变
个人生活和经历,

同时试图实施
源于普遍能力的解决方案,

而不是为此目的而设计的。

这就是为什么我

认为不是简单地
改造现有教育机构,

我们需要进行可能会
模糊

我们非常传统的概念和
学校概念的创新的原因之一:

关于重新设计
以人为本的社会的更广泛讨论 服务中心

,教育和社区
转型

被认为是一回事。

我们可能需要寻找跨越各个学科的
上下文相关的解决

方案,而不是可能昂贵、缺乏人性和非人性的大型僵化官僚机构。

毕竟,没有人愿意成为统计数据,

因为我们都是个体。

所以我想借此

机会邀请你接受
未来应该代表的模棱两可。

接受模棱两可是
走出我们自己的重要部分,

走出我们的推理阶梯

,停止一个有限的自我实现的预言的过程,这种

预言继续为太少太少服务,

让这么多人
被边缘化和压迫。

拥抱模棱两可,它邀请我们以健康的反思实践
与我们的过去互动

惊叹于我们
充满可能性的未来,

并生活在这一片刻的慰藉中
,我们应该开始

着手设计一个 更加理想
和包容的未来。

我相信这样做,我们可以专注
于哲学家保罗·弗莱尔所说的

我们第一个真正的使命
:变得更加人性化。

想想这
对我们的孩子、

我们的职业和我们的社区,

甚至对我们
应该建立一个更加公正的社会的承诺来说是多么大的礼物。

我们很少长大成为父母
认为我们会

成为婴儿时的样子,

但对于大多数父母来说,这会在

几年或几十年的过程中逐步发生。

然而,对于许多 NICU 家庭来说,

这种变化似乎发生
在惊天动地的瞬间。

也就是说,除非你被提醒
我们永远不能放弃希望,否则

人类是有弹性的,
我们不知道未来。

是时候接受模棱两可了,

并提醒自己任何事情
都可能发生在拐角处。