Viewing a response to: @tarazkp/what-i-learn-by-writing-daily
**What is good locally might do harm globally.** I find myself wondering if the corollary **What is harmful locally is good globally.** Might be a factor in things like school shootings. I know the climate change, overpopulation stuff is drilled into them pretty hard; then there's the 'Life is the result of a string of accidents, everything is meaningless' conclusion of the materialism they teach. Is it any wonder kids are 'doing the planet a favour' here and there?
post_id | 84,710,297 |
---|---|
author | mattclarke |
permlink | re-tarazkp-q699hw |
category | hive-174578 |
json_metadata | {"tags":["hive-174578"],"app":"steempeak\/2020.02.3"} |
created | 2020-02-25 11:34:45 |
last_update | 2020-02-25 11:34:45 |
depth | 1 |
children | 5 |
net_rshares | 1,049,805,596,797 |
last_payout | 2020-03-03 11:34:45 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.092 SBD |
curator_payout_value | 0.092 SBD |
pending_payout_value | 0.000 SBD |
promoted | 0.000 SBD |
body_length | 472 |
author_reputation | 65,732,140,940,596 |
root_title | "What I learn by writing daily" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 SBD |
percent_steem_dollars | 10,000 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
tarazkp | 0 | 201,662,093,120 | 7% | ||
misterengagement | 0 | 9,839,555,016 | 12.5% | ||
frogcake | 0 | 838,303,948,661 | 100% |
Yes it can work in reverse too in a "learn from other's mistakes" kind of way. In a decent decentralized network, the harm in one location can become a lesson learned at all others. One example could be autonomous cars and the ethics/laws of what happens under crash conditions. Even at a base level, the learning of one car sliding off the road on ice for example could send out an update warning to all other cars approaching the area and have them adjust accordingly. These wake up call learning opportunities could do a lot of good.
post_id | 84,710,589 |
---|---|
author | tarazkp |
permlink | q699vs |
category | hive-174578 |
json_metadata | {"app":"steemit\/0.2"} |
created | 2020-02-25 11:43:06 |
last_update | 2020-02-25 11:43:06 |
depth | 2 |
children | 2 |
net_rshares | 202,274,265,031 |
last_payout | 2020-03-03 11:43:06 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.016 SBD |
curator_payout_value | 0.016 SBD |
pending_payout_value | 0.000 SBD |
promoted | 0.000 SBD |
body_length | 540 |
author_reputation | 1,394,583,249,195,743 |
root_title | "What I learn by writing daily" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 SBD |
percent_steem_dollars | 10,000 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
mattclarke | 0 | 202,274,265,031 | 11% |
Yes, I was talking to an air crash investigator once; and he said they're genuinely delighted when there's a really dangerous near miss. Its a free lesson; a chance to learn about a mistake hiding in the system; without having to pay for it in lives.
post_id | 84,710,806 |
---|---|
author | mattclarke |
permlink | re-tarazkp-q69a6p |
category | hive-174578 |
json_metadata | {"tags":["hive-174578"],"app":"steempeak\/2020.02.3"} |
created | 2020-02-25 11:49:39 |
last_update | 2020-02-25 11:49:39 |
depth | 3 |
children | 1 |
net_rshares | 795,324,559,602 |
last_payout | 2020-03-03 11:49:39 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.068 SBD |
curator_payout_value | 0.068 SBD |
pending_payout_value | 0.000 SBD |
promoted | 0.000 SBD |
body_length | 251 |
author_reputation | 65,732,140,940,596 |
root_title | "What I learn by writing daily" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 SBD |
percent_steem_dollars | 10,000 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
frogcake | 0 | 794,804,135,437 | 100% | ||
whatwillbe | 0 | 520,424,165 | 100% |
The best lessons are cheap, but have a lot of upside.
post_id | 84,717,705 |
---|---|
author | tarazkp |
permlink | q69n5w |
category | hive-174578 |
json_metadata | {"app":"steemit\/0.2"} |
created | 2020-02-25 16:29:51 |
last_update | 2020-02-25 16:29:51 |
depth | 4 |
children | 0 |
net_rshares | 194,878,416,403 |
last_payout | 2020-03-03 16:29:51 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.015 SBD |
curator_payout_value | 0.015 SBD |
pending_payout_value | 0.000 SBD |
promoted | 0.000 SBD |
body_length | 53 |
author_reputation | 1,394,583,249,195,743 |
root_title | "What I learn by writing daily" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 SBD |
percent_steem_dollars | 10,000 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
mattclarke | 0 | 194,878,416,403 | 10% |
!ENGAGE 25
post_id | 84,710,596 |
---|---|
author | tarazkp |
permlink | q699w7 |
category | hive-174578 |
json_metadata | {"app":"steemit\/0.2"} |
created | 2020-02-25 11:43:21 |
last_update | 2020-02-25 11:43:21 |
depth | 2 |
children | 0 |
net_rshares | 0 |
last_payout | 2020-03-03 11:43:21 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 SBD |
curator_payout_value | 0.000 SBD |
pending_payout_value | 0.000 SBD |
promoted | 0.000 SBD |
body_length | 10 |
author_reputation | 1,394,583,249,195,743 |
root_title | "What I learn by writing daily" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 SBD |
percent_steem_dollars | 10,000 |
<center><div class="center">https://steemitimages.com/0x0/https://cdn.steemitimages.com/50x50/https://cdn.steemitimages.com/DQmdHfkhCPGYcfUqZqT4Br3nsmCpeVPj1BcLoepVX2PYeAE/engagetoken.png/ </div><br><br> @mattclarke you have received `25 ENGAGE` from @tarazkp!<br>View and trade the tokens on [Steem Engine](https://steem-engine.com?p=market&t=ENGAGE).</center><br><hr><center><sup>This tip bot is powered by witness <a href="https://untersatz.steem.design">untersatz</a>!</sup></center>
post_id | 84,710,601 |
---|---|
author | misterengagement |
permlink | kkpdaflvwzs |
category | hive-174578 |
json_metadata | {} |
created | 2020-02-25 11:43:33 |
last_update | 2020-02-25 11:43:33 |
depth | 2 |
children | 0 |
net_rshares | 0 |
last_payout | 2020-03-03 11:43:33 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 SBD |
curator_payout_value | 0.000 SBD |
pending_payout_value | 0.000 SBD |
promoted | 0.000 SBD |
body_length | 487 |
author_reputation | 2,576,980,374,514 |
root_title | "What I learn by writing daily" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 SBD |
percent_steem_dollars | 10,000 |