2025年10月26日日曜日

OBSのDual配信(Twitch+YouTube)の安定化を検証した記録 ― エラー2000対策と設定変更 ―

以前書いた「Project Zomboid プレイ中にカクつく問題と、その解消方法」でも触れたが、並行して発生していた問題として、Twitch の同時配信が不安定になるというものがあった。

今回はその続編として、OBSの設定変更による二重配信(Dual 配信:YouTube + Twitch)の安定化検証を行った。同一環境下で複数回にわたり、Digital Detox 配信とゲーム配信を実施し、設定変更による安定性の変化を検証した。


この記事の注意点として、筆者が技術面で最も強みを持っている(と信じている)のは OS のインストール周りであり、映像や画像関係は正直言ってあまり得意ではない。
とはいえ、基本情報処理技術者の資格を持ち、OS 周りを中心にトラブルシューティングを含めたテクニカルサポートの経験があるため、 ChatGPT  が提示する設定内容を理解し、判断することは可能だと考えている。
ただし、自分の環境で検証しているため、ある程度の確実性は担保できるものの、環境による影響で他の環境では再現できない場合がある。その点についてはあらかじめご了承いただきたい。


実際の設定に関しては、同様の問題に悩む人の助けになる可能性があるため、前回同様に無料記事として公開する。
また、どのような判断をしているかを知りたい方は、こちらの有料記事をご購入いただけると幸いだ。


<トラブルシューティングの概要>

まずは現在の設定を  ChatGPT  に共有し、推奨される設定を実施した。
ここで問題になるのは、 ChatGPT  が出力する内容には異なる環境を前提とした設定が含まれている場合があり、さらにハルシネーションの可能性もあるため、実際の環境と一致しないことが多いという点だ。
そのため、推奨設定を参考にしながら環境に合わせて調整を行い、複数回の検証を実施した。

その結果、 Twitch 側でエラーコード「2000」が発生。
原因を確認したところ、「輻輳を管理するためにビットレートを動的に変更する(ベータ版)」を有効にしていると接続が不安定になることが判明した。

以降、複数日のゲーム配信および  Digital Detox  配信で状況を検証したところ、安定動作を確認できたため、この記事として共有のうえ、他環境への展開を進めるに至った。


<検証環境>

GPUAMD
回線速度:上り 75 Mbps / 下り 389 Mbps
配信ソフト:OBS Studio32.0.1-64bit
プラグイン:SoraYuki Multi RTMP(日本製の複数出力プラグイン)
配信先:YouTube(アカウント連携)/Twitch(ストリームキー接続)
配信内容:Project ZomboidPhasmophobiaEscape from DuckovWebCam配信
検証期間:2025/10/192025/10/24


<筆者注記>

この記事はNoteでも同時に公開しています。
もしこの記事が役立ったと感じていただけた場合は、私の活動を応援する意味で、Note での有料版(100円)をご購入いただけると大変励みになります。

記事はこちら:<記事作成中、お待ちください。>

 

また、本記事とは別に ChatGPT との間で交わされた実際のトラブルシューティングの会話履歴を有料記事として公開しています。設定変更の背景や判断過程などがわかる内容となっています。
これらのノウハウが役立ったと感じていただけたなら、応援の形としてぜひご購入ください。
記事はこちら:<リンク


<設定内容>

―出力設定

・映像エンコーダはソフトウェア(H.264 )からAMD H.264 に変更。
・プリセットをBalanced に変更。

―映像設定

・出力(スケーリング)解像度1440x810から1280720へ変更
・縮小フィルタをバイキュービック(先鋭化スケーリング、16サンプル)よりランチョス(先鋭化スケーリング、36サンプル)へ変更

―詳細設定①

・遅延配信を有効に変更、期間を「5s」に設定

―詳細設定②

※「輻輳を管理するためにビットレートを動的に変更する(ベータ版)」は一度有効にしたものの、Twitch 側がエラーコード:2000を吐いたため無効化、これでエラーを吐く問題は解消した。
・ネットワーク最適化は有効に変更

・TCPペーシングは有効に変更

Sora_yuki 様プラグインの設定は変えていない。 


<まとめと今後について>

今回発生した問題はゲーム配信チャンネル上で確認されたため、そこで検証を行い安定化を実現した。
今後はこの設定を他のチャンネルにも展開していく予定である。

現在、Living off the Land Japan というチャンネルで素潜りの様子を中心に動画を公開しているが、今後はここに「行動できなくなったあなたへ:デジタル社会が脳に及ぼしている影響と回復方法」で触れた Digital Detox 配信 を移行し、視聴者に向けたテクニカルサポートを提供していく計画だ。

PC 周りの不安やトラブルについて、アドバイスという形で応じる予定だが、気軽に相談できる窓口としてご利用いただければ幸いである。
視聴者数が少ないうちは無料でサポートを行う予定だが、今後の成長に合わせて段階的な有料化も検討している。

今がまさにチャンスなので、興味のある方はぜひチャンネル登録をお願いします。
チャンネル登録・フォローはこちら:

 <Twitchリンク>:こちらではより細かなインタラクションが楽しめます。

 <Youtube リンク>:こちらは匿名性の若干高い視聴が可能です。

 配信の準備が整い次第、記事としてまとめる予定です。今後の更新をお知らせしますので、ぜひブックマークやSNSでチェックしていただければ幸いです。

2025年10月22日水曜日

🔥 アルコールストーブを自作してわかった構造と作り方の注意点

はじめに
前回の記事では、YouTube動画を見過ぎて行動できなくなった経験について書きました。
そこで触れた「時間を消費する」から「時間を作り出す」行動への転換のきっかけになったのが、このアルコールストーブの自作です。
実を言えば、アルコールストーブを作ろうと思ったのもYouTubeで動画を見たのがきっかけでした。
(参考動画:https://www.youtube.com/watch?v=6xE6Q0P-5Mo)
ちょうどその頃、湯沸かし器が故障していたという偶然も重なり、「自分で作ってみよう」と思い立ちました。
そこから今回の動画(https://youtu.be/cpYc1Bq18Yc)の制作に至ったわけですが、
これは1回目に作った試作機の経験を踏まえ、改良を加えた第2世代のストーブになります。
日本語のYouTubeでは「自作」よりも「購入レビュー」が圧倒的に多く、
実際に自作した上で構造を理解しようとする動画はほとんど見かけません。
そこでこの記事では、実際に作って使ってみた中で得られた構造理解と注意点をまとめていきます。


1. 構造と燃焼の段階
アルコールストーブの燃焼は大きく分けて二段階に分類できます。
① 一次燃焼
アルコールを入れて火をつけると、まず開口部で揮発したアルコールが燃えます。
この段階を「一次燃焼」と呼びます。


② 二次燃焼
一次燃焼の熱でストーブ本体が温まり、内部のアルコールが蒸発します。
蒸気が噴出口から噴出し、それに火がつくことで「二次燃焼」に移行します。
販売されているアルコールストーブの多くはこの仕組みを応用しており、
特に二次燃焼では火力が強く、お湯を効率的に沸かすことができます。
試作機を観察すると、この燃焼過程の変化がより明確に見えてきます。



2. 燃焼段階と液面の関係
① 一次燃焼
アルコールの液面が上部パーツの下端よりも上になるように注ぎます。
点火すると揮発したアルコールが燃焼し、ストーブ全体が温められます。
この加熱により内部のアルコールが気化し、噴出口から蒸気が噴出し始めます。


② 二次燃焼(加圧段階)
噴出したアルコール蒸気に火がつくことで二次燃焼が始まります。
液面が上部パーツの下端を覆うことで密閉状態が強まり、内部圧力が上昇します。
これにより火力が高まり、湯沸かしなどに適した状態になります。


③ 二次燃焼(減圧段階)
燃焼が進むにつれて液面が下がると、密閉状態が弱まり火力が落ち着きます。
この段階は穏やかで、長時間の加熱に適しています。



3. 試作機から得た改善点
第1号機の観察から得た知見をもとに、2代目では以下の改良を行いました。
① 上部パーツと下部パーツの隙間を最小化
試作機では2〜3mmの隙間があり、減圧燃焼が長く続く傾向がありました。
新型ではこの隙間を限界まで縮め、燃焼時間の多くを加圧状態に保つよう設計しました。
② 噴出口の位置を上げる
噴出口をできるだけ上部に配置することで、
・火の立ち上がりを早める
・燃焼効率を高める
・保持できるアルコール量を増やす
という効果が得られました。
③ 噴出口の向きを上向きに変更
試作機では横向きに開けていたため、熱が拡散していました。
新型では角度をつけ、炎が上に向かうように設計しました。
わずかな角度の違いでも、熱伝導効率が大きく変化します。


4. 実際の制作と燃焼比較
制作工程や燃焼の様子は動画(https://youtu.be/cpYc1Bq18Yc)で確認できます。
ここでは、実験を通じて明らかになったポイントを整理します。

  • 新型は試作機に比べて噴出口からの炎が長時間持続

  • 火が消える直前まで燃焼が続く

  • 圧力の維持により火力が安定

  • 二次燃焼の開始が早く、最大火力までの時間が半減

また、保持できるアルコール量の増加により、燃焼時間は最長17分に達しました。
予想以上に安定した燃焼を実現できたことは大きな成果でした。


5. 使用と注意点

  1. 燃料は燃料用アルコール(メチルアルコール主体)を20〜25ml程度に抑える。

  2. 燃焼中の補充は厳禁(引火・溶損の危険あり)。

  3. 風防を使用する際は通気を確保し、酸欠を防ぐ。

  4. 鍋底との距離は5cm以上が理想(ChatGPTによる助言)。


6. 終わりに:効率だけが正解ではない
比較実験の結果、改良型は明らかに火力・効率ともに優れていました。
しかし実際の使用では、試作機にも独自の利点があります。
筆者は週末に事務所で一人焼き肉をするのですが、肉を焼くときは強火が良くても、野菜を温める時は弱火の方が扱いやすい。
そうした使い分けをする中で、「火力至上主義」は必ずしも最適ではないと感じました。
新型は強火を長時間維持するのに向いていますが、試作機は減圧燃焼時に上に置いた鍋を外すと炎が消えるため、火力をコントロールしたい場面ではむしろ便利です。
キャンプのように携帯性を重視するなら一台で万能なものが理想でしょう。
しかし、用途や環境に応じて使い分けるという考え方も現実的です。
結果として、効率の追求よりも「使い心地と選択肢の幅」に価値を感じるようになりました。
特に、先に触れた ChatGPT による「鍋底との距離は5cm以上が理想」という助言が事実であれば、現行のデザインは熱効率の面でまだ改善の余地があることになります。
この点が、新しい設計に取り組む大きな動機となっています。


🔗 関連動画
▶️ 【自作】アルコールストーブ:改良版の作成と燃焼実験

※Youtube 動画については2025/10/22の20時に公開予定です。

2025年10月20日月曜日

Project Zomboid プレイ中にカクつく問題と、その解消方法

ほぼ毎日のようにゲームプレイ配信を行っているのだが、Project Zomboid の Build 42.12 Update 後からか、特定の時間帯に Project Zomboid がカクついてプレイ続行不能になることが何回かあった。

今回の問題は、他の配信者さんなどで起きているのかは不明であるため、自分の環境だけの可能性もある。ただ、実際に自分の環境では問題の解消につながったため、何かの役に立つかもしれないと思い記事化しておく。

ちなみに最近は ChatGPT との会話で問題解消までの時間を短縮しており(検索時間が大幅に低減する)、会話履歴については別途 Note で有料記事としている。
有料にした理由は、自分が過去にテクニカルサポートとして働いていた経験があり、今もその延長でトラブルシューティングを行っているため、自分の仕事上のノウハウを共有する形になるからだ。

実際のトラブルシューティングに関する部分については、これで助かる人もいる可能性があるため無料記事として公開する。どのような判断をしているかに興味をお持ちの方は、有料記事をご購入いただきたい。

有料記事へのリンク:https://note.com/b_k_biztech/n/nb89c2f0e4fa0


<問題の解決方法>

問題は以下の2点を変更することで解消した。

  • Windows Search Indexer の対象範囲から C:\Users\<ユーザー>\Zomboid フォルダを除外した

  • Windows Defender のスキャン対象から以下を除外した

    • C:\Users\<ユーザー>\Zomboid

    • C:\Program Files (x86)\Steam

    • C:\Program Files\OBS Studio

    • C:\Program Files\AMD

上記2点の変更前よりも、実行環境は明らかに快適になった。以前はわずかにカクつくタイミングがあったが、変更後は非常に安定している。


<実際の変更画面>

――Windows Search Indexer 側の変更――

① Windows 11 の設定から、「プライバシーとセキュリティ」を選択し、「検索」を選択


②下の方にある「除外するフォルダーの追加」を選択(※ここでクラシックになっていることを確認:筆者の環境ではデフォルトでなっていたと思われる)


③フォルダ選択画面が表示される。


④「C:¥Users¥<ユーザー>¥Zomboid」とたどり、「フォルダの選択」を押下。


――Windows Defender 側の変更――

①Windows の検索より、Windows セキュリティを検索して押下


②「ウイルスと脅威の防止」を選択


③「ウイルスと脅威の防止」ウィンドウが開くため下に移動


④一番下にある「除外の追加または削除」を選択


⑤「除外の追加」を押下


⑥「フォルダー」を選択


⑦「⑤「除外の追加」を押下」画像にあるフォルダを選択し、「フォルダーの選択」を押下して除外対象を追加



<問題の原因>

結論から言うと、Project Zomboid というゲームがセーブデータを C:\Users フォルダ配下に配置していることが原因と言える。
これまでの経験から、ユーザーフォルダ直下にゲームのセーブデータがあるケースはあまり見たことがないため、かなり特殊な構成ではないかと想像している。
ただし、同様のセーブデータ配置をしているゲームがあれば、同じような挙動になる可能性は十分あると考えている。

Windows Search Indexer は、その名の通り Windows のフォルダ検索を高速化するためにファイルへインデックスを付ける機能を持っているのだが、この処理は意外に重い。
過去にサービスデスクとして働いていた際も、ユーザーの PC が CPU を100%近く使い始めて重くなるという現象があり、タスクマネージャーでプロセスを確認した際にすぐに怪しいと気づいた経験がある。

そのため、ChatGPT に確認して Windows Search Indexer の対象から除外する対応を行おうとしたところ、Project Zomboid のセーブデータフォルダがユーザーフォルダ直下にあり、しかも Windows Search Indexer の対象範囲がユーザーフォルダに限定されていることが判明した。

そこで問題の原因がここにあると確信し、設定を変更した。
しかし、実際にゲーム配信で検証してみると、問題は軽減したもののまだカクつきが発生。改めて確認したところ、同じようなタイミングで Windows Defender が動いていた。
ChatGPT に確認して対応を行った結果、ようやく現象が収まったという流れである。

ChatGPT の解説によると、42.12 アップデート以降は I/O の仕様が大幅に変わっており、頻繁に書き込みが行われることで Windows Defender がそれに対応しようとして負荷が高まっているのではないか、ということだった。

実際に問題の解消につながったため、おそらくこの説明で間違いないと考えている。


<余談>

この問題は、アメリカの Reddit の Project Zomboid プレイヤーの間では、ある程度知られた現象であるらしい。

以上。

2025年10月13日月曜日

Reclaiming Action: How the Attention Economy Rewired Our Brains—and How We Can Heal

1. Why Do We Feel Constantly Exhausted Even When We Do Nothing?


A recent video essay explored a simple yet haunting question:
Why do we feel bored even when surrounded by endless entertainment? (Harris, 2025)
In the video, Johnny Harris describes a familiar modern condition —a quiet Sunday afternoon when the children are playing outside,all chores and work are done, and yet a sense of restlessness lingers.

You find yourself thinking about the past and the future, unable to act on anything in the present.Eventually, you reach for your phone, scrolling through it without purpose —but the feeling of boredom remains.

That, Harris suggests, is not ordinary boredom.
It is a neurological signal — a symptom of a brain overwhelmed by artificial stimulation, no longer knowing what to do in silence.
And that observation struck me deeply, because until recently, I was living in exactly that state.

Barely keeping up with daily tasks, feeling exhausted for no reason, constantly drawn back to YouTube or social media as if by gravity. Hours would pass without awareness, leaving only fatigue behind.

Then I began encountering a term that explained everything: the “Attention Economy.”

The concept was first proposed in 1969 by economist Herbert A. Simon, who noted that “in an information-rich world, the wealth of information means a dearth of attention.”
Half a century later, this has become our reality: platforms such as YouTube, TikTok, and Instagram have turned human attention itself into a tradable resource (Steinhorst, 2024).
Even in Japan, the term “attention economy” has entered mainstream vocabulary (Eleminist, 2023).
In a world overflowing with information, our attention has become a resource to be mined, traded, and competed over (Manamina, 2023).


To understand this phenomenon, we need to look at it from two seemingly distant perspectives — economics and neuroscience.
It is no longer that we use our brains for the economy.
Rather, the economy has begun to decide how our brains are used.

2. The Evolution of the Attention Economy: From Television’s Control to Algorithmic Guidance


In the latter half of the twentieth century, television sat at the center of society. People across the country watched the same programs every night, gathering the next day to discuss them. Television succeeded in aligning collective consciousness in a single direction.

For certain generations, television remains the primary source of information. Even today, news coverage and televised debates continue to shape public opinion. Yet that influence has rapidly waned with the rise of the Internet.

We have shifted from an era in which old media “controlled” attention to one in which digital platforms “guide” it. The media’s power has not disappeared—it has simply changed form.

At first glance, this transformation might appear to be a healthy democratization of information. A world where anyone can create and verify content. I, too, once welcomed that change. But in recent years, it has become increasingly clear that this new economic model—fueled by advertising revenue—has begun to reshape human behavior itself.

Ø   The Transformation of Advertising: From “Viewership” to “Neural Response”


Television’s advertising model was simple. Audiences watched programs according to fixed schedules, and advertisers purchased commercial slots during the hours when potential customers were most likely watching. Marketing effectiveness was measured by a single number: the viewership rating.

That simplicity vanished in the late 1990s with the rise of the Internet. Platforms like Google and YouTube abandoned the vague metric of viewership and began quantifying behavior at the individual level.

Which ad you clicked. Where you stopped watching a video. What search terms you entered. All of it became data—measured, analyzed, and monetized in real time.

Advertisers no longer needed to imagine “target demographics.” Platforms now calculate, with astonishing precision, who is most likely to make a purchase and display ads directly to that person.

The core of this system lies in predicting what captures human attention— and converting that attention into a tradable commodity.

In the television era, value was defined by how many people you could reach. In the algorithmic era, value is defined by how deeply you can penetrate a single brain. Attention has shifted from the collective to the individual, and within the individual, down to the level of neural response.


Ø   The Algorithm's True Goal: To Prevent You from Leaving


This transformation has changed the very nature of information. It is no longer something delivered—it is something optimized. The goal of every major platform is simple: keep the user from leaving.

To achieve that, algorithms continually feed stimuli that sustain engagement— endless scrolls, suggested videos, the red glow of notification badges.

Such designs are not mere technical conveniences. They are neural architectures of reward.

Our brains are wired to respond most strongly to unexpected rewards. The uncertainty of “What comes next?” triggers the highest bursts of dopamine.

YouTube’s recommendations and social media feeds exploit this mechanism with surgical precision. An algorithm is no longer an information delivery system. It is a device that transforms human attention and emotion into reproducible economic resources.

3. Neuroscience: Overstimulation and Down-Regulation of the Reward System


The human brain is equipped with mechanisms that reinforce behaviors advantageous for survival. Eating, gaining social approval, solving problems — when these actions succeed, the brain releases dopamine, a neurotransmitter that generates a sense of pleasure. This circuit, known as the reward system, primarily involves the prefrontal cortex, nucleus accumbens, and ventral tegmental area (Purves, Augustine, & Fitzpatrick, 2018, as referenced by ChatGPT, unverified by the author; see also Schultz, 2015).

These regions form a neural network that governs motivation and pleasure. A large body of neuroscientific research supports the connection between dopaminergic activity, reward prediction, and behavioral reinforcement (Japanese Society for Neuroscience, 2019).

The reward system does not merely respond to pleasure; it learns the temporal structure of reward. Dopaminergic neurons react most strongly to unexpected rewards or those that occur after a brief delay — using those experiences to strengthen future behavior (Schultz, 2015, pp. 853–858).


Ø   Digital Stimuli and the Collapse of Reward Timing


Modern digital environments have disrupted this evolutionary design at its core. A “like” on social media, the automatic replay of a video, the sound of a level-up in a game—each of these can activate the dopaminergic system with minimal effort. In the short term, such stimuli may produce a false sense of achievement, reinforcing both expectation and reactivity toward rewards, as suggested by studies on the neural reward system (Bromberg-Martin, Matsumoto, & Hikosaka, 2010; Stanford Medicine, 2021).

When exposure to such stimuli becomes repetitive, adaptive changes occur within the dopaminergic pathway—such as receptor down-regulation or decreased sensitivity. As a result, the same stimulus no longer produces the same level of satisfaction, prompting individuals to seek stronger or more frequent stimulation. This hypothesis, observed in contexts such as substance addiction, has been widely discussed in contemporary neuroscience (Mustafa, 2024).

In neuroscience, this state is known as down-regulation of the reward system—a physiological decline in the brain’s sensitivity caused by chronic overstimulation.

Ø   The Diminished Capacity for “Quiet Satisfaction”


As this process progresses, people begin to lose the ability to experience deep focus or quiet fulfillment as a form of reward. The sense of satisfaction once derived from activities such as reading, studying, or creating is now replaced by the fleeting bursts of stimulation provided by social media.

Long-term goals become difficult to sustain, and the feeling of “I can’t keep going” becomes chronic. Empirical studies have linked decreases in attention, memory, and working-memory capacity to chronic overstimulation of dopaminergic pathways (Zahrt, Taylor, Mathew, & Arnsten, 1997; Arnsten, 2011).


Furthermore, the prefrontal cortex, a region closely tied to the brain’s reward system, also deteriorates under these conditions. The prefrontal cortex is responsible for inhibiting impulses and making long-term decisions—the very foundation of human rationality (Miller & Cohen, 2001).

Research on addiction has shown that chronic exposure to reward stimuli can cause hyper-adaptation within this region, leading to impaired self-control and an intensified drive for immediate gratification (Goldstein & Volkow, 2011).

Ø   The Inversion of the Reward System — When Pleasure Destroys Effort


This process can be summarized in a single, devastating equation:

The immediacy of reward erases the meaning of effort.
The loss of effort collapses the value of reward.

As a result, we begin to oscillate between fatigue and apathy. We feel drained even when we have done nothing, and when we try to begin something, our focus quickly disintegrates. This is not mere psychological exhaustion. It is a physiological reaction of a brain whose reward system has lost its equilibrium.

4. The Structural Reality: Profit Design and the Seeds of Political Use


Up to this point, we have seen how advertising-driven models stimulate the human brain and reshape patterns of behavior. But what drives this system is not merely technology or algorithmic design. It is the economic structure itself.

Platform corporations—Google, YouTube, Meta, TikTok—are all built upon mechanisms that capitalize on human attention. Within these systems, user retention time serves as the primary metric of profit. In other words, the core of their business lies in how effectively they can capture and prolong human focus.

The issue here is not that these companies are inherently malicious. Quite the opposite: few platforms set out with the intention of making people addicted. They simply followed the logic of efficiency and profit—and in doing so, arrived at an “optimal solution” that continuously stimulates the human nervous system.

Yet this is precisely where we must pause and reflect. Even if the system emerged accidentally, it now functions as a structure capable of governing collective cognition and behavior across society. And increasingly, that structure is expanding beyond the boundaries of economics—into the realm of politics.

Ø   The Connection Between Power and Platforms


In September 2025, the U.S. House Judiciary Committee launched an investigation into whether Google/YouTube had restricted certain political content under pressure from government agencies. In the course of this inquiry, Google acknowledged that it had once received a censorship request from the Biden administration—describing it as “inappropriate” and “unacceptable” (Donovan, 2025).


The Committee’s findings revealed several key facts:

l   Government agencies (including the Department of Health and the White House) had requested the removal or limitation of content related to COVID-19 and election topics.

l   As part of a cooperation posture, Google considered reinstating channels that had been deplatformed.

l   Indirect restrictions via third-party fact-checking organizations were also being used.

This is not merely a domestic U.S. political issue. These facts suggest that the collaboration between state power and platforms may have already been operating as a functional “information sieve.”

More importantly, this may be the first time in history that the infrastructure for intentionally manipulating human behavior has been (1) constructed, and (2) demonstrably deployed.

For years, we assumed algorithms steered us unconsciously. Now, that architecture has matured into a tool that can be consciously wielded. Whether for political ends or economic gains, this structure is beginning to function as an infrastructure of control.

5. Synthesis: Regaining Agency in an Engineered World


As we have seen, our sense of inability—the feeling that we “can’t focus” or “can’t begin”—is not a failure of willpower or discipline. It is the natural consequence of a brain that has adapted to an optimized environment.


You are not lazy. Your brain has simply adjusted to a world that constantly refines itself around your behavioral data.

Social networks and video platforms learn your patterns, identify the stimuli that trigger the strongest responses, and present them in rhythm with your habits. Without realizing it, your mind is surrounded by a pleasure apparatus tailored uniquely to you—one that gradually rewires your reward system to comply with its logic.

Once, entertainment existed between the rhythms of daily life. Now, daily life itself is engineered around entertainment.

Notifications, autoplay, gaming events—these do not fill our spare moments; rather, our moments are shaped to accommodate them. Within this structure, resistance through sheer will alone becomes extraordinarily difficult.

There is another factor we must not overlook: the speed of this transformation.

In all of human history, no generation has ever faced environmental adaptation at the neurological level occurring over so short a span of time. And as long as this process remains tied to the acceleration mechanisms of capitalism, it is unlikely that any meaningful social restraint will emerge.

That is precisely why self-defense must begin at the individual level. The algorithm is not your enemy, but its design will always optimize you for consumption. And in that process, our capacity for free, human action is being quietly eroded.

6. Behavioral Recovery in Three Steps: Externalize, Attenuate, Replace


Ø   Regaining Control Over Action


Many people begin to recognize this problem only when they confront a behavior they themselves cannot fully explain. Watching videos for hours. Closing a social-media app—only to open it again moments later. Most of us have experienced this cycle at least once. And in many cases, even after deciding “This time I’ll stop,” we find ourselves slipping back into the same pattern when our energy or mood fluctuates.

Everyday behavior has its own form of homeostasis. Even when willpower allows temporary withdrawal, the brain exerts a powerful force to return to its previous state. That is why this problem cannot be solved through mindset or discipline alone.

After repeated trial and error, I eventually discovered a method that worked for me: streaming myself while I work. By creating a simulated social environment—the subtle awareness that others might be watching—I naturally began to reduce passive video consumption and found myself spending entire days in focused work. A week later, I could feel a dramatic improvement in my productivity and mental clarity.

Ø   Streaming” as Externalization — Turning Social Inhibition into an Ally


From a neuroscientific perspective, the act of streaming oneself is a form of externalized self-regulation. The human brain—particularly the prefrontal cortex—activates stronger inhibitory control the moment it senses the presence of others. This phenomenon, known as social inhibition, leads individuals to suppress impulsive behaviors and opt for more deliberate, goal-oriented actions when they feel they are being observed (Beer & Ochsner, 2006; Izuma, Saito, & Sadato, 2008).


My own experiment deliberately recreated this mechanism. Through streaming, the brain shifts its orientation—from being a viewer to becoming a creator. In doing so, it redirects the output of the reward system away from external stimuli and toward self-generated action. This subtle rewiring transformed passive consumption into active engagement, allowing concentration to emerge naturally rather than through force of will.

Ø   Step 1: Externalization — Supporting Self-Control Through Environment


The first step is simple: do not overestimate your brain. Human willpower and attention are finite resources; when fatigued, they function poorly.

Therefore, instead of relying on discipline, we must design the environment to guide behavior.

In practice, this means implementing external systems of control, such as:

l   Using time-lock apps to limit social-media access

l   Streaming yourself while working

l   Placing your smartphone in another room
Behavioral science consistently shows that it is easier to change the environment than to change the person. The goal is not to “trick” the brain but to support it through structural design.

l   Practical Example — Redesigning Context


Neuroscience offers a useful concept known as context-dependent memory. The brain tends to encode actions together with the physical environment in which they occur. If your desk at home has been repeatedly associated with opening YouTube, simply sitting there may automatically trigger “viewing mode.” This phenomenon is well documented: when the environment during learning and recall is the same, memory and behavioral responses are facilitated (Godden & Baddeley, 1975; Smith & Vela, 2001).

To break this conditioning, physical context reconstruction is remarkably effective. Take your laptop to a café or library and establish a new rule: this is a place only for work. Such a simple environmental switch can become a surprisingly powerful behavioral-modification tool.


Ø   Step 2: Downscaling — Gradually Lowering the Intensity of Reward Stimuli


The brain's reward system is highly sensitive to abrupt change. When stimulation is cut off suddenly, the brain reacts with a rebound of anxiety, boredom, and lethargy. This occurs because the dopaminergic system enters a transient state of hyporesponsiveness, leading to diminished pleasure and motivation (Volkow et al., 2004; Koob & Le Moal, 2001).

Therefore, the goal is not abstinence, but attenuation.

Examples include:

l   Instead of turning off all notifications, check them only twice a day—morning and evening.

l   Instead of background watching videos, schedule specific viewing periods.

l   Instead of deleting social media apps entirely, reinstall and use them only once a week.

By managing information intake as carefully as one manages meals, the reward system gradually settles into a calmer, more stable state.

The key lies not in prohibition, but in choice. The brain resists deprivation, but it can adapt to self-imposed boundaries. This principle aligns with neuroscientific models of addiction recovery, which emphasize gradual recalibration of reward stimuli to restore natural motivation and self-regulatory capacity (Volkow et al., 2011).


l   Practical Example — Using a Café as a “Low-Stimulation Window”


In the previous section, we discussed the effectiveness of changing environments—working in a café or library. It is important to clarify that such places need not become permanent workspaces. The purpose is simpler: to create short windows of minimal stimulation.

1.         The initial goal is not “hours of deep focus,” but merely 15-30 minutes of low-stimulation time.

2.         The café should not be fully linked to “productivity” but used as a temporary refuge from social media and video feeds.

3.         Even brief disconnection reveals just how fatigued the brain has become—and that realization alone is transformative.

When you return home, you may relapse into old patterns—and that is perfectly fine. What matters is the gradual reduction of stimulation, allowing the brain to adapt step by step to calmer environments.

Human beings do not change overnight. But small, repeated recoveries make the next small choice possible.

Over time, you may find that you no longer need to leave home to create quiet space. Perhaps you simply place your phone in another room for 15 minutes before bed, or brew coffee with notifications turned off. Such small rituals eventually train the brain to recreate silence without leaving it behind.

Ø   Step 3: Replacement — Redirecting the Source of Reward Toward Creation


In the final stage, the goal is to shift the direction of reward from receiving to creating. The human brain exhibits strong dopaminergic activity during creative acts such as writing, designing, composing, or learning. Indeed, studies have shown that musical creation and even aesthetic appreciation trigger dopamine release within the striatum, the core of the reward circuitry (Salimpoor, Benovoy, Larcher, Dagher, & Zatorre, 2011).


In other words, the same neural pathways that once delivered external pleasure can be repurposed into creative reward.

For me, that meant writing and streaming. Through these practices, my brain gradually relearned to find pleasure not in the result but in the process itself. The stimulation is gentler, deeper, and closer to what the human brain is naturally designed to seek.

l   Practical Example — Creation as Replacement


When you start going to a café simply to step away from stimulation, a new question soon emerges: “What should I do now?” Without the constant feed of social media or video, the brain—long optimized to receive—suddenly faces a gap.

That gap feels empty at first. Yet it is precisely within that emptiness that creation begins.

Many people struggle at this moment. But the instant you choose to create—to write in a notebook, sketch, fold paper, or simply think—the brain’s reward pathways start to reorganize quietly. The essential point is not what you make, but that the time is generated from within rather than filled from without.

What I recommend is reclaiming the sensation of building time with your own hands, however small the act may be. Write something. Design something. Record something. The purpose is to transform the habit of consuming time into the art of creating time.

As you spend more moments in creative flow, you begin to remember the quiet focus and satisfaction that once felt natural. Completing even a simple piece—no matter how small—redefines pleasure itself, restoring the courage to pursue what truly matters to you.

Small creations are the gateway to large transformations. They mark the first step by which the brain shifts from being a receiver of experience to once again becoming its creator.

Ø   Small Successes Reshape the Brain


The key to behavioral recovery lies in accumulating small moments of success. The brain encodes each successful experience as a signal to continue the behavior.

“Today, I didn’t check my notifications.”
Today, I managed to focus for thirty minutes.” Even such seemingly minor achievements begin to restructure the reward system in a positive direction.

This is not a matter of willpower. It is an exercise in neuroplasticity—the brain’s inherent capacity to learn and rewire itself.

Ø   Digital Detox Is Not Withdrawal — It Is Redesign


To reclaim ourselves within a digital society is not to reject technology.

It is to reclaim the design of our own reward systems. “Digital Detox” is not the act of cutting off information—it is the act of redesigning our relationship with it.

It means taking back the architecture of attention that has been delegated to algorithms, and rebuilding it through conscious choice. That is the essence of this chapter—and the first true step toward restoring our capacity to act.


7. Epilogue — The Brain That Still Remembers


My niece has stopped going to school. When I asked why, I was told she can no longer let go of her smartphone—staring at the screen until dawn before finally falling asleep.

What I have written in these pages may describe precisely what is happening among her generation. Even those of us who grew up in the age of television and early video games—a kind of prelude to today’s attention economy—are now deeply woven into its design. For those who were born with a smartphone already in hand, their very sense of action may have been built upon the consumption of attention itself.

There are two things I wish to leave here.

Ø   First: Radical deprivation does not work.


Taking away a smartphone rarely solves the problem. The human brain is not that simple.

When the machinery of pleasure is abruptly cut off, no one can predict where the rebound will go. What social media stimulates is not mere entertainment—it is the circuitry of approval, empathy, and identity.

To strip that away by force risks redirecting the brain’s search for reward into destructive outlets—extremism, conspiracy, or despair. At the root of such behavior lies not malice, but adaptation. To suppress it without understanding its mechanism only strengthens the brain’s instinct to defend itself.

Ø   Second: Yet the human brain still remembers how to adapt.


Despite the staggering shifts of the last twenty years, our brains carry the inheritance of hundreds of thousands of years—an unbroken chain of adaptation to nature.

Your current actions are not sustained by will alone; they are the sum of countless ancestral experiments that refined how we endure, learn, and reconnect with the world. That same capacity for adaptation still resides within you.

No algorithm, however sophisticated, can erase the deeper intelligence that evolution has left in the human mind. No design can outdesign the design of survival itself.

As I write these final lines, I do not know who will read them. But if you have come this far—and if these words help you understand your own brain and reclaim even a few quiet moments of your time—then that alone is enough. That alone is joy.

Author’s Note

This article—including its structure, phrasing, and all accompanying visuals—was created with the assistance of generative AI (ChatGPT).
All factual content was verified by the author through primary sources wherever possible.

For readers interested in the original Japanese edition,
you can find it here:

 

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