Why Do We Dream?: An Animated Lesson

Why do we dream? It’s a ques­tion sci­ence still can’t answer, says the TED-Ed les­son above by Amy Adkins. Many neu­ro­sci­en­tists cur­rent­ly make sense of dream­ing as a way for the brain to con­sol­i­date mem­o­ry at night. “This may include reor­ga­niz­ing and recod­ing mem­o­ries in rela­tion to emo­tion­al dri­ves,” writes com­pu­ta­tion­al neu­ro­sci­en­tist Paul King, “as well as trans­fer­ring mem­o­ries between brain regions.” You might imag­ine a defrag­ging hard dri­ve, the sort­ing and fil­ing process hap­pen­ing while a com­put­er sleeps.

But the brain is not a com­put­er. Impor­tant ques­tions remain. Why do dreams have such a pow­er­ful hold on us, not only indi­vid­u­al­ly, but — as a recent project col­lect­ing COVID dreams explores — col­lec­tive­ly? Are dreams no more than gib­ber­ish, the men­tal detri­tus of the day, or do they con­vey impor­tant mes­sages to our con­scious minds? Sev­er­al mil­len­nia before Freud’s The Inter­pre­ta­tion of Dreams, “Mesopotami­an kings record­ed and inter­pret­ed their dreams on wax tablets.” A thou­sand years lat­er, Egyp­tians cat­a­logued one hun­dred of the most com­mon dreams and their mean­ings in a dream book.

The ancients were con­vinced their dreams car­ried mes­sages from beyond their con­scious­ness. Many mod­ern the­o­rists begin­ning with Freud have seen dreams as pure­ly self-ref­er­en­tial, and neu­rot­ic. “We dream,” the les­son notes, “to ful­fill our wish­es.” Instead of mes­sages from the gods, dreams are sym­bol­ic com­mu­ni­ca­tion from uncon­scious repressed dri­ves. Or, “we dream to remem­ber,” as some con­tem­po­rary neu­ro­sci­en­tists claim, or “we dream to for­get” as a neu­ro­bi­o­log­i­cal the­o­ry called “reverse learn­ing” argued in 1983. Dreams are exer­cis­es for the brain, rehearsals, night­time prob­lem solv­ing … the les­son touch­es briefly on each of these the­o­ries in turn.

But what­ev­er answers sci­ence pro­vides will hard­ly sat­is­fy human curios­i­ty about the con­tent of our dreams. For this, per­haps, we should look else­where. We might turn, for exam­ple, to the Muse­um of Dreams, “a hub for explor­ing the social and polit­i­cal sig­nif­i­cance of dream-life.” Philo­soph­i­cal and sci­en­tif­ic the­o­ries of dream­ing are all spec­u­la­tive. “Rather than seek a defin­i­tive expla­na­tion, the Museum’s goal is to explore the gen­er­a­tive and per­for­ma­tive nature of dream-life — all the remark­able ways peo­ple have put their dreams to work.” Before we share and, yes, inter­pret our dreams with oth­ers, they remain, in Toni Morrison’s words, “unspeak­able things unspo­ken.”

Relat­ed Con­tent:

Do Our Dreams Pre­dict the Future? Vladimir Nabokov Spent Three Months Test­ing That The­o­ry in 1964

Do Octopi Dream? An Aston­ish­ing Nature Doc­u­men­tary Sug­gests They Do

Watch Dreams That Mon­ey Can Buy, a Sur­re­al­ist Film by Man Ray, Mar­cel Duchamp, Alexan­der Calder, Fer­nand Léger & Hans Richter

Josh Jones is a writer and musi­cian based in Durham, NC. Fol­low him at @jdmagness

Alan Alda: 3 Ways to Express Your Thoughts So That Everyone Will Understand You

In need of some­one to per­form surgery in a com­bat zone, you prob­a­bly would­n’t choose Alan Alda, no mat­ter how many times you’ve seen him do it on tele­vi­sion. This sounds obvi­ous to those of us who believe that actors don’t know how to do any­thing at all. But a per­former like Alda does­n’t become a cul­tur­al icon by acci­dent: his par­tic­u­lar skill set has enabled him not just to com­mu­ni­cate with mil­lions at a time through film and tele­vi­sion, but also to nav­i­gate his off­screen and per­son­al life with a cer­tain adept­ness. In the Big Think video above, he reveals three of his own long-relied-upon strate­gies to “express your thoughts so that every­one will under­stand you.”

“I don’t real­ly like tips,” Alda declares. Stan­dard pub­lic-speak­ing advice holds that you should “vary the pace of your speech, vary the vol­ume,” for exam­ple, but while sound in them­selves, those strate­gies exe­cut­ed mechan­i­cal­ly get to be “kind of bor­ing.” Rather than oper­at­ing accord­ing to a fixed play­book, as Alda sees it, your vari­a­tions in pace and vol­ume — or your ges­tures, move­ments around the stage, and every­thing else — should occur organ­i­cal­ly, as a prod­uct of “how you’re talk­ing and relat­ing” to your audi­ence. A skilled speak­er does­n’t fol­low rules per se, but gauges and responds dynam­i­cal­ly to the lis­ten­er’s under­stand­ing even as he speaks.

But if pressed, Alda can pro­vide three tips “that I do kind of fol­low.” These he calls “the three rules of three”: first, “I try only to say three impor­tant things when I talk to peo­ple”; sec­ond, “If I have a dif­fi­cult thing to under­stand, if there’s some­thing I think is not going to be easy to get, I try to say it in three dif­fer­ent ways”; third, ” I try to say it three times through the talk.” He gets deep­er into his per­son­al the­o­ries of com­mu­ni­ca­tion in the sec­ond video below, begin­ning with a slight­ly con­trar­i­an defense of jar­gon: “When peo­ple in the same pro­fes­sion have a word that stands for five pages of writ­ten knowl­edge, why say five pages of stuff when you can say one word?” The trou­ble comes when words get so spe­cial­ized that they hin­der com­mu­ni­ca­tion between peo­ple of dif­fer­ent pro­fes­sions.

At its worst, jar­gon becomes a tool of dom­i­nance: “I’m smart; I talk like this,” its users imply, “You can’t real­ly talk like this, so you’re not as smart as me.” But when we active­ly sim­pli­fy our lan­guage to com­mu­ni­cate to the broad­est pos­si­ble audi­ence, we can dis­cov­er “what are the con­cepts that real­ly mat­ter” beneath the jar­gon. All the bet­ter if we can tell a dra­mat­ic sto­ry to illus­trate our point, as Alda does at the end of the video. It involves a med­ical stu­dent con­vey­ing a patien­t’s diag­no­sis more effec­tive­ly than his super­vi­sor, all thanks to his expe­ri­ence with the kind of “mir­ror­ing” exer­cis­es famil­iar to every stu­dent of act­ing. A doc­tor who can com­mu­ni­cate is always prefer­able to one who can’t; even a real-life Hawk­eye, after all, needs to make him­self under­stood once in a while.

Relat­ed Con­tent:

Alan Alda Uses Improv to Teach Sci­en­tists How to Com­mu­ni­cate Their Ideas

What Is a Flame?: The First Prize-Win­ner at Alan Alda’s Sci­ence Video Com­pe­ti­tion

How to Speak: Watch the Lec­ture on Effec­tive Com­mu­ni­ca­tion That Became an MIT Tra­di­tion for Over 40 Years

Charles & Ray Eames’ A Com­mu­ni­ca­tions Primer Explains the Key to Clear Com­mu­ni­ca­tion in the Mod­ern Age (1953)

Erich Fromm’s Six Rules of Lis­ten­ing: Learn the Keys to Under­stand­ing Oth­er Peo­ple from the Famed Psy­chol­o­gist

How to Get Over the Anx­i­ety of Pub­lic Speak­ing?: Watch the Stan­ford Video, “Think Fast, Talk Smart,” Viewed Already 15 Mil­lion Times

Based in Seoul, Col­in Mar­shall writes and broad­casts on cities, lan­guage, and cul­ture. His projects include the Sub­stack newslet­ter Books on Cities, the book The State­less City: a Walk through 21st-Cen­tu­ry Los Ange­les and the video series The City in Cin­e­ma. Fol­low him on Twit­ter at @colinmarshall or on Face­book.

Make Body Language Your Superpower: A 15-Minute Primer on Body Language & Public Speaking from Stanford Business School

A few years ago, the idea of “pow­er pos­es” — that is, phys­i­cal stances that increase the dynamism of one’s per­son­al­i­ty — gained a great many adher­ents in a very short time, but not long there­after emerged doubts as to its sci­en­tif­ic sound­ness. Nev­er­the­less, while stand­ing with your hands on your hips may not change who you are, we can fair­ly claim that such a thing as body lan­guage does exist. And in that lan­guage, cer­tain bod­i­ly arrange­ments com­mu­ni­cate bet­ter mes­sages than oth­ers: accord­ing to the pre­sen­ters of the talk above, keep­ing your hands pow­er-poseish­ly on your hips is actu­al­ly a text­book bad pub­lic-speak­ing posi­tion, down there with shov­ing them in your pock­ets or clasp­ing them before you in the dread­ed “fig leaf.”

Now viewed well over 5.5 mil­lion times, “Make Body Lan­guage Your Super­pow­er” was orig­i­nal­ly deliv­ered as the final project of a team of grad­u­ate stu­dents at Stan­ford’s Grad­u­ate School of Busi­ness. That same insti­tu­tion gave us lec­tur­er Matt Abra­hams’ talk “Think Fast, Talk Smart,” which, with its 23 mil­lion views and count­ing, sug­gests its cam­pus pos­sess­es a lit­er­al fount of pub­lic-speak­ing wis­dom.

Work­ing as a team, these stu­dents keep it short and sim­ple, accom­pa­ny­ing their talk with take­away-announc­ing Pow­er­point slides (“1. Pos­ture breeds suc­cess, 2. Ges­tures strength­en our mes­sage, 3. The audi­ence’s body mat­ters too”) and even a video clip that vivid­ly illus­trates what not to do: in this case, with a fid­gety, rota­tion-heavy turn on stage by Armaged­don and Trans­form­ers auteur Michael Bay.

Though we can’t hear what Bay is say­ing, we could­n’t be blamed for assum­ing it’s not the truth. That owes not so much to the Hol­ly­wood pen­chant for dis­sim­u­la­tion and hyper­bole as it does to his par­tic­u­lar stances, ges­tures, and per­am­bu­la­tions, all of a kind that primes our sub­con­scious­ness to expect lies. “We all want to avoid our own Michael Bay moments when we com­mu­ni­cate,” says one of the pre­sen­ters, but even when we take pains to tell the truth, the whole truth, and noth­ing but the truth, the defen­sive pos­tures into which many of us instinc­tive­ly retreat can under­cut our efforts. “Decod­ing Decep­tive Body Lan­guage,” the talk just above, can help us learn both to iden­ti­fy the impres­sion of dis­hon­esty and to avoid giv­ing it our­selves. Not that it’s always easy: as the exam­ple of Bill Clin­ton under­scores in both these pre­sen­ta­tions, even mas­ter com­mu­ni­ca­tors have their slip-ups.

Relat­ed Con­tent:

How to Get Over the Anx­i­ety of Pub­lic Speak­ing?: Watch the Stan­ford Video, “Think Fast, Talk Smart,” Viewed Already 15 Mil­lion Times

How to Speak: Watch the Lec­ture on Effec­tive Com­mu­ni­ca­tion That Became an MIT Tra­di­tion for Over 40 Years

Can You Spot Liars Through Their Body Lan­guage? A For­mer FBI Agent Breaks Down the Clues in Non-Ver­bal Com­mu­ni­ca­tion

How to Spot Bull­shit: A Primer by Prince­ton Philoso­pher Har­ry Frank­furt

How to Sound Smart in a TED Talk: A Fun­ny Primer by Sat­ur­day Night Live‘s Will Stephen

Based in Seoul, Col­in Mar­shall writes and broad­casts on cities, lan­guage, and cul­ture. His projects include the Sub­stack newslet­ter Books on Cities, the book The State­less City: a Walk through 21st-Cen­tu­ry Los Ange­les and the video series The City in Cin­e­ma. Fol­low him on Twit­ter at @colinmarshall or on Face­book.

Take an Intellectual Odyssey with a Free MIT Course on Douglas Hofstadter’s Pulitzer Prize-Winning Book Gödel, Escher, Bach: An Eternal Golden Braid

In 1979, math­e­mati­cian Kurt Gödel, artist M.C. Esch­er, and com­pos­er J.S. Bach walked into a book title, and you may well know the rest. Dou­glas R. Hof­s­tadter won a Pulitzer Prize for Gödel, Esch­er, Bach: an Eter­nal Gold­en Braid, his first book, thence­forth (and hence­forth) known as GEB. The extra­or­di­nary work is not a trea­tise on math­e­mat­ics, art, or music, but an essay on cog­ni­tion through an explo­ration of all three — and of for­mal sys­tems, recur­sion, self-ref­er­ence, arti­fi­cial intel­li­gence, etc. Its pub­lish­er set­tled on the pithy descrip­tion, “a metaphor­i­cal fugue on minds and machines in the spir­it of Lewis Car­roll.”

GEB attempt­ed to reveal the mind at work; the minds of extra­or­di­nary indi­vid­u­als, for sure, but also all human minds, which behave in sim­i­lar­ly unfath­omable ways. One might also describe the book as oper­at­ing in the spir­it — and the prac­tice — of Her­man Hesse’s Glass Bead Game, a nov­el Hesse wrote in response to the data-dri­ven machi­na­tions of fas­cism and their threat to an intel­lec­tu­al tra­di­tion he held par­tic­u­lar­ly dear. An alter­nate title (and key phrase in the book) Mag­is­ter Ludi, puns on both “game” and “school,” and alludes to the impor­tance of play and free asso­ci­a­tion in the life of the mind.

Hesse’s eso­teric game, writes his biog­ra­ph­er Ralph Freed­man, con­sists of “con­tem­pla­tion, the secrets of the Chi­nese I Ching and West­ern math­e­mat­ics and music” and seems sim­i­lar enough to Hof­s­tadter’s approach and that of the instruc­tors of MIT’s open course, Gödel, Esch­er, Bach: A Men­tal Space Odyssey. Offered through the High School Stud­ies Pro­gram as a non-cred­it enrich­ment course, it promis­es “an intel­lec­tu­al vaca­tion” through “Zen Bud­dhism, Log­ic, Meta­math­e­mat­ics, Com­put­er Sci­ence, Arti­fi­cial Intel­li­gence, Recur­sion, Com­plex Sys­tems, Con­scious­ness, Music and Art.”

Stu­dents will not study direct­ly the work of Gödel, Esch­er, and Bach but rather “find their spir­its aboard our men­tal ship,” the course descrip­tion notes, through con­tem­pla­tions of canons, fugues, strange loops, and tan­gled hier­ar­chies. How do mean­ing and form arise in sys­tems like math and music? What is the rela­tion­ship of fig­ure to ground in art? “Can recur­sion explain cre­ativ­i­ty,” as one of the course notes asks. Hof­s­tadter him­self has pur­sued the ques­tion beyond the entrench­ment of AI research in big data and brute force machine learn­ing. For all his daunt­ing eru­di­tion and chal­leng­ing syn­the­ses, we must remem­ber that he is play­ing a high­ly intel­lec­tu­al game, one that repli­cates his own expe­ri­ence of think­ing.

Hof­s­tadter sug­gests that before we can under­stand intel­li­gence, we must first under­stand cre­ativ­i­ty. It may reveal its secrets in com­par­a­tive analy­ses of the high­est forms of intel­lec­tu­al play, where we see the clever for­mal rules that gov­ern the mind’s oper­a­tions; the blind alleys that explain its fail­ures and lim­i­ta­tions; and the pos­si­bil­i­ty of ever actu­al­ly repro­duc­ing work­ings in a machine. Watch the lec­tures above, grab a copy of Hofstadter’s book, and find course notes, read­ings, and oth­er resources for the fas­ci­nat­ing course Gödel, Esch­er, Bach: A Men­tal Space Odyssey archived here. The course will be added to our list, 1,700 Free Online Cours­es from Top Uni­ver­si­ties.

Relat­ed Con­tent: 

How a Bach Canon Works. Bril­liant.

Math­e­mat­ics Made Vis­i­ble: The Extra­or­di­nary Math­e­mat­i­cal Art of M.C. Esch­er

The Mir­ror­ing Mind: An Espres­so-Fueled Inter­pre­ta­tion of Dou­glas Hofstadter’s Ground­break­ing Ideas

Josh Jones is a writer and musi­cian based in Durham, NC. Fol­low him at @jdmagness

Are We All Getting More Depressed?: A New Study Analyzing 14 Million Books, Written Over 160 Years, Finds the Language of Depression Steadily Rising


The rela­tions between thought, lan­guage, and mood have become sub­jects of study for sev­er­al sci­en­tif­ic fields of late. Some of the con­clu­sions seem to echo reli­gious notions from mil­len­nia ago. “As a man thin­keth, so he is,” for exam­ple, pro­claims a famous verse in Proverbs (one that helped spawn a self-help move­ment in 1903). Pos­i­tive psy­chol­o­gy might agree. “All that we are is the result of what we have thought,” says one trans­la­tion of the Bud­dhist Dhamma­pa­da, a sen­ti­ment that cog­ni­tive behav­ioral ther­a­py might endorse.

But the insights of these tra­di­tions — and of social psy­chol­o­gy — also show that we’re embed­ded in webs of con­nec­tion: we don’t only think alone; we think — and talk and write and read — with oth­ers. Exter­nal cir­cum­stances influ­ence mood as well as inter­nal states of mind. Approach­ing these ques­tions dif­fer­ent­ly, researchers at the Lud­dy School of Infor­mat­ics, Com­put­ing, and Engi­neer­ing at Indi­ana Uni­ver­si­ty asked, “Can entire soci­eties become more or less depressed over time?,” and is it pos­si­ble to read col­lec­tive changes in mood in the writ­ten lan­guages of the past cen­tu­ry or so?

The team of sci­en­tists, led by Johan Bollen, Indi­ana Uni­ver­si­ty pro­fes­sor of infor­mat­ics and com­put­ing, took a nov­el approach that brings togeth­er tools from at least two fields: large-scale data analy­sis and cog­ni­tive-behav­ioral ther­a­py (CBT). Since diag­nos­tic cri­te­ria for mea­sur­ing depres­sion have only been around for the past 40 years, the ques­tion seemed to resist lon­gi­tu­di­nal study. But CBT pro­vid­ed a means of ana­lyz­ing lan­guage for mark­ers of “cog­ni­tive dis­tor­tions” — think­ing that skews in over­ly neg­a­tive ways. “Lan­guage is close­ly inter­twined with this dynam­ic” of thought and mood, the researchers write in their study, “His­tor­i­cal lan­guage records reveal a surge of cog­ni­tive dis­tor­tions in recent decades,” pub­lished just last month in PNAS.

Choos­ing three lan­guages, Eng­lish (US), Ger­man, and Span­ish, the team looked for “short sequences of one to five words (n‑grams), labeled cog­ni­tive dis­tor­tion schema­ta (CDS).” These words and phras­es express neg­a­tive thought process­es like “cat­a­stro­phiz­ing,” “dichoto­mous rea­son­ing,” “dis­qual­i­fy­ing the pos­i­tive,” etc. Then, the researchers iden­ti­fied the preva­lence of such lan­guage in a col­lec­tion of over 14 mil­lion books pub­lished between 1855 and 2019 and uploaded to Google Books. The study con­trolled for lan­guage and syn­tax changes dur­ing that time and account­ed for the increase in tech­ni­cal and non-fic­tion books pub­lished (though it did not dis­tin­guish between lit­er­ary gen­res).

What the sci­en­tists found in all three lan­guages was a dis­tinc­tive “‘hock­ey stick’ pat­tern” — a sharp uptick in the lan­guage of depres­sion after 1980 and into the present time. The only spikes that come close on the time­line occur in Eng­lish lan­guage books dur­ing the Gild­ed Age and books pub­lished in Ger­man dur­ing and imme­di­ate­ly after World War II. (High­ly inter­est­ing, if unsur­pris­ing, find­ings.) Why the sud­den, steep climb in lan­guage sig­ni­fy­ing depres­sive think­ing? Does it actu­al­ly mark a col­lec­tive shift in mood, or show how his­tor­i­cal­ly oppressed groups have had more access to pub­lish­ing in the past forty years, and have expressed less sat­is­fac­tion with the sta­tus quo?

While they are care­ful to empha­size that they “make no causal claims” in the study, the researchers have some ideas about what’s hap­pened, observ­ing for exam­ple:

The US surge in CDS preva­lence coin­cides with the late 1970s when wages stopped track­ing increas­ing work pro­duc­tiv­i­ty. This trend was asso­ci­at­ed with ris­es in income inequal­i­ty to recent lev­els not seen since the 1930s. This phe­nom­e­non has been observed for most devel­oped economies, includ­ing Ger­many, Spain and Latin Amer­i­ca.

Oth­er fac­tors cit­ed include the devel­op­ment of the World Wide Web and its facil­i­ta­tion of polit­i­cal polar­iza­tion, “in par­tic­u­lar us-vs.-them think­ing… dichoto­mous rea­son­ing,” and oth­er mal­adap­tive thought pat­terns that accom­pa­ny depres­sion. The scale of these devel­op­ments might be enough to explain a major col­lec­tive rise in depres­sion, but one com­menter offers an addi­tion­al gloss:

The globe is *Lit­er­al­ly* on fire, or his­tor­i­cal­ly flood­ing — Mul­ti­ple eco­nom­ic crash­es bare­ly decades apart — a ghost town of a hous­ing mar­ket — a mul­ti-year glob­al pan­dem­ic — wealth con­cen­tra­tion at the .01% lev­el — ter­ri­ble pay/COL equa­tions — block­ing unionization/workers rights — abu­sive mil­i­ta­rized police, with­out the restraint or train­ing of actu­al mil­i­tary —  You can’t afford X for a month­ly mort­gage pay­ment!  Pay 1.5x for rent instead! — end­less wars for the last… 30…years? 50 if we include stuff like Korea, Cold War, Viet­nam… How far has the IMC been milk­ing the gov for funds to make the rich rich­er? Oh, and a bil­lion­aire 3‑way space race to deter­mine who’s got the biggest “rock­et”

These sound like rea­sons for glob­al depres­sion indeed, but the arrow could also go the oth­er way: maybe cat­a­stroph­ic rea­son­ing pro­duced actu­al cat­a­stro­phes; black and white think­ing led to end­less wars, etc…. More study is need­ed, says Bollen and his col­leagues, yet it seems prob­a­ble, giv­en the data, that “large pop­u­la­tions are increas­ing­ly stressed by per­va­sive cul­tur­al, eco­nom­ic, and social changes” — changes occur­ring more rapid­ly, fre­quent­ly, and with greater impact on our dai­ly lives than ever before. Read the full study at PNAS

Relat­ed Con­tent: 

Stanford’s Robert Sapol­sky Demys­ti­fies Depres­sion, Which, Like Dia­betes, Is Root­ed in Biol­o­gy

A Uni­fied The­o­ry of Men­tal Ill­ness: How Every­thing from Addic­tion to Depres­sion Can Be Explained by the Con­cept of “Cap­ture”

Charles Bukows­ki Explains How to Beat Depres­sion: Spend 3–4 Days in Bed and You’ll Get the Juices Flow­ing Again (NSFW)

Josh Jones is a writer and musi­cian based in Durham, NC. Fol­low him at @jdmagness

B.F. Skinner Demonstrates His “Teaching Machine,” the 1950s Automated Learning Device

The name B.F. Skin­ner often pro­vokes dark­ly humor­ous ref­er­ences to such bizarre ideas as “Skin­ner box­es,” which put babies in cage-like cribs, and put the cribs in win­dows as if they were air-con­di­tion­ers, leav­ing the poor infants to raise them­selves. Skin­ner was hard­ly alone in con­duct­ing exper­i­ments that flout­ed, if not fla­grant­ly ignored, the eth­i­cal con­cerns now cen­tral to exper­i­men­ta­tion on humans. The code of con­duct on tor­ture and abuse that osten­si­bly gov­erns mem­bers of the Amer­i­can Psy­cho­log­i­cal Asso­ci­a­tion did not exist. Rad­i­cal behav­ior­ists like Skin­ner were redefin­ing the field. His work has come to stand for some of its worst abus­es.

But Skin­ner has been mis­char­ac­ter­ized in the pop­u­lar­iza­tion of his ideas — a pop­u­lar­iza­tion, it’s true, in which he enthu­si­as­ti­cal­ly took part. The actu­al “Skin­ner box” was cru­el enough — an elec­tri­fied cage for ani­mal exper­i­men­ta­tion — but it was not the infant win­dow box that often goes by the name. This was, instead, called an “air­crib” or “baby-ten­der,” and it was loaded with crea­ture com­forts like cli­mate con­trol and a com­ple­ment of toys. “In our com­part­ment,” Skin­ner wrote in a 1945 Ladies Home Jour­nal arti­cle, “the wak­ing hours are invari­ably active and hap­py ones.” Describ­ing his first test sub­ject, his own child, he wrote, “our baby acquit­ted an amus­ing, almost ape­like skill in the use of her feet.”

Skin­ner was not a soul­less mon­ster who put babies in cages, but he also did not under­stand mam­malian babies’ need for phys­i­cal touch. Like­wise, when it came to edu­ca­tion, Skin­ner had ideas that can seem con­trary to what we know works best, name­ly a vari­ety of meth­ods that hon­or dif­fer­ent learn­ing styles and abil­i­ties. Edu­ca­tors in the 1950s embraced far more reg­i­ment­ed prac­tices, and Skin­ner believed humans could be trained just like oth­er ani­mals. He treat­ed an ear­ly exper­i­ment in class­room tech­nol­o­gy just like an exper­i­ment teach­ing pigeons to play ping-pong. It was, in fact, “the foun­da­tion for his edu­ca­tion tech­nol­o­gy,” says edu­ca­tion jour­nal­ist Audrey Wat­ters, “that we’ll build machines and they’ll give stu­dents — just like pigeons — pos­i­tive rein­force­ment and stu­dents — just like pigeons — will learn new skills.”

To this end, Skin­ner cre­at­ed what he called the Teach­ing Machine in 1954 while he taught psy­chol­o­gy at Har­vard. He was hard­ly the first to design such a device, but he was the first to invent a machine based on behav­ior­ist prin­ci­ples, as Abhishek Solan­ki explains in a Medi­um arti­cle:

The teach­ing machine was com­posed of main­ly a pro­gram, which was a sys­tem of com­bined teach­ing and test items that car­ried the stu­dent grad­u­al­ly through the mate­r­i­al to be learned. The “machine” was com­posed of a fill-in-the-blank method on either a work­book or on a com­put­er. If the stu­dent was cor­rect, he/she got rein­force­ment and moved on to the next ques­tion. If the answer was incor­rect, the stu­dent stud­ied the cor­rect answer to increas­ing the chances of get­ting rein­forced next time.

Con­sist­ing of a wood­en box, a met­al lid with cutouts, and var­i­ous paper discs with ques­tions and answers writ­ten on them, the machine did adjust for dif­fer­ent stu­dents’ needs, in a way. Skin­ner “not­ed that the learn­ing process should be divid­ed into a large num­ber of very small steps and rein­force­ment must be depen­dent upon the com­ple­tion of each step. He believed this was the best pos­si­ble arrange­ment for learn­ing because it took into account the rate of learn­ing for each indi­vid­ual stu­dent.” He was again inspired by his own chil­dren, com­ing up with the machine after vis­it­ing his daugh­ter’s school and decid­ing he could improve on things.

The method and means of learn­ing, as you’ll see in the demon­stra­tion films above, were not indi­vid­u­al­ized. “There was very, very lit­tle free­dom in Skin­ner’s vision,” says Wat­ters. “Indeed Skin­ner wrote a very well-known book, Beyond Free­dom and Dig­ni­ty in the ear­ly 1970s, in which he said free­dom does­n’t exist.” While Skin­ner’s machine did­n’t itself become wide­ly used, his ideas about edu­ca­tion, and edu­ca­tion tech­nol­o­gy, are still very much with us. We see Skin­ner’s machine “tak­ing new forms with adap­tive teach­ing and e‑learning,” writes Solan­ki.

And we see the dark­er side of his design in class­room tech­nol­o­gy, says Wat­ters, in an indus­try that prof­its from alien­at­ing, one-size-fits all ed-tech solu­tions. But she also sees “stu­dents who are resist­ing and com­mu­ni­ties who are build­ing prac­tices that serve their needs rather than serv­ing the needs of engi­neers.” Skin­ner’s the­o­ries of con­di­tion­ing were and are incred­i­bly per­sua­sive, but his reduc­tive views of human nature seem to leave out more than they explain. Learn more about the his­to­ry of teach­ing machines in Wat­ters’ new book, Teach­ing Machines: The His­to­ry of Per­son­al­ized Learn­ing.

Relat­ed Con­tent: 

The Lit­tle Albert Exper­i­ment: The Per­verse 1920 Study That Made a Baby Afraid of San­ta Claus & Bun­nies

Her­mann Rorschach’s Orig­i­nal Rorschach Test: What Do You See? (1921)

A Brief Ani­mat­ed Intro­duc­tion to Noam Chomsky’s Lin­guis­tic The­o­ry, Nar­rat­ed by The X‑Files‘ Gillian Ander­son

Josh Jones is a writer and musi­cian based in Durham, NC. Fol­low him at @jdmagness

Moralities of Everyday Life: A Free Online Course from Yale University

How can we explain kind­ness and cru­el­ty? Where does our sense of right and wrong come from? Why do peo­ple so often dis­agree about moral issues? This course from Yale Uni­ver­si­ty, Moral­i­ties of Every­day Life, explores the psy­cho­log­i­cal foun­da­tions of our moral lives. Taught by psy­chol­o­gy & cog­ni­tive sci­ence pro­fes­sor Paul Bloom, the course focus­es on the ori­gins of moral­i­ty, com­pas­sion, how culture/religion influ­ence moral thought and moral action, and beyond. If you select the “Audit” option, you can take the course for free.

Moral­i­ties of Every­day Life will be added to our col­lec­tion of Free Psy­chol­o­gy Cours­es, a sub­set of our larg­er col­lec­tion, 1,700 Free Online Cours­es from Top Uni­ver­si­ties.

If you would like to sign up for Open Culture’s free email newslet­ter, please find it here. Or fol­low our posts on Threads, Face­book, BlueSky or Mastodon.

If you would like to sup­port the mis­sion of Open Cul­ture, con­sid­er mak­ing a dona­tion to our site. It’s hard to rely 100% on ads, and your con­tri­bu­tions will help us con­tin­ue pro­vid­ing the best free cul­tur­al and edu­ca­tion­al mate­ri­als to learn­ers every­where. You can con­tribute through Pay­Pal, Patre­on, and Ven­mo (@openculture). Thanks!

Relat­ed Con­tent:

Intro­duc­tion to Psy­chol­o­gy: A Free Course from Yale Uni­ver­si­ty

Pos­i­tive Psy­chol­o­gy: A Free Online Course from Har­vard Uni­ver­si­ty

A Crash Course on Psy­chol­o­gy: A 30-Part Video Series from Hank Green

The Rashomon Effect: The Phenomenon, Named After Akira Kurosawa’s Classic Film, Where Each of Us Remembers the Same Event Differently

Toward the end of The Simp­sons’ gold­en age, one episode sent the tit­u­lar fam­i­ly off to Japan, not with­out resis­tance from its famous­ly lazy patri­arch. “Come on, Homer,” Marge insists, “Japan will be fun! You liked Rashomon.” To which Homer nat­u­ral­ly replies, “That’s not how I remem­ber it!” This joke must have writ­ten itself, not as a high-mid­dle­brow cul­tur­al ref­er­ence (as, say, Frasi­er would lat­er name-check Tam­popo) but as a play on a uni­ver­sal­ly under­stood byword for the nature of human mem­o­ry. Even those of us who’ve nev­er seen Rashomon, the peri­od crime dra­ma that made its direc­tor Aki­ra Kuro­sawa a house­hold name in the West, know what its title rep­re­sents: the ten­den­cy of each human being to remem­ber the same event in his own way.

“A samu­rai is found dead in a qui­et bam­boo grove,” says the nar­ra­tor of the ani­mat­ed TED-Ed les­son above. “One by one, the crime’s only known wit­ness­es recount their ver­sion of the events that tran­spired. But as they each tell their tale, it becomes clear that every tes­ti­mo­ny is plau­si­ble, yet dif­fer­ent, and each wit­ness impli­cates them­selves.”

So goes “In a Grove,” a sto­ry by cel­e­brat­ed ear­ly 20th-cen­tu­ry writer Ryūno­suke Aku­ta­gawa. An avid read­er, Kuro­sawa com­bined that lit­er­ary work with anoth­er of Aku­ta­gawa’s to cre­ate the script for Rashomon. Both Aku­ta­gawa and Kuro­sawa “use the tools of their media to give each char­ac­ter’s tes­ti­mo­ny equal weight, trans­form­ing each wit­ness into an unre­li­able nar­ra­tor.” Nei­ther read­er nor view­er can trust any­one — nor, ulti­mate­ly, can they arrive at a defen­si­ble con­clu­sion as to the iden­ti­ty of the killer.

Such con­flicts of mem­o­ry and per­cep­tion occur every­where in human affairs: this TED-Ed les­son finds exam­ples in biol­o­gy, anthro­pol­o­gy, pol­i­tics, and media. Suf­fi­cient­ly many psy­cho­log­i­cal phe­nom­e­na con­verge to give rise to the Rashomon effect that it seems almost overde­ter­mined; it may be more illu­mi­nat­ing to ask under what con­di­tions does­n’t it occur. But it also makes us ask even tougher ques­tions: “What is truth, any­way? Are there sit­u­a­tions when an objec­tive truth does­n’t exist? What can dif­fer­ent ver­sions of the same event tell us about the time, place, and peo­ple involved? And how can we make group deci­sions if we’re all work­ing with dif­fer­ent infor­ma­tion, back­grounds, and bias­es?” We seem to be no clos­er to defin­i­tive answers than we were when Rashomon came out more than 70 years ago — only one of the rea­sons the film holds up so well still today.

Relat­ed Con­tent:

Why Time Seems to Fly By As You Get Old­er, and How to Slow It Down: A Sci­en­tif­ic Expla­na­tion by Neu­ro­sci­en­tist David Eagle­man

How to Improve Your Mem­o­ry: Four TED Talks Explain the Tech­niques to Remem­ber Any­thing

How Did Aki­ra Kuro­sawa Make Such Pow­er­ful & Endur­ing Films? A Wealth of Video Essays Break Down His Cin­e­mat­ic Genius

What Is Déjà Vu? Michio Kaku Won­ders If It’s Trig­gered by Par­al­lel Uni­vers­es

Based in Seoul, Col­in Mar­shall writes and broad­casts on cities, lan­guage, and cul­ture. His projects include the Sub­stack newslet­ter Books on Cities, the book The State­less City: a Walk through 21st-Cen­tu­ry Los Ange­les and the video series The City in Cin­e­ma. Fol­low him on Twit­ter at @colinmarshall or on Face­book.

« Go BackMore in this category... »
Quantcast
Open Culture was founded by Dan Colman.